From 54bde6ac11a183be414a8faa37e588eafa269aaf Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 16:34:23 +0100 Subject: [PATCH 001/244] verify date on new candle before producing signal --- freqtrade/freqtradebot.py | 9 ++++++--- freqtrade/strategy/interface.py | 9 +++++++-- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index 914b8d9cd..02d8b5b56 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -390,14 +390,17 @@ class FreqtradeBot: """ logger.debug(f"create_trade for pair {pair}") + dataframe = self.dataprovider.ohlcv(pair, self.strategy.ticker_interval) + latest = dataframe.iloc[-1] + # Check if dataframe is out of date + signal_date = arrow.get(latest['date']) + if self.strategy.is_pair_locked(pair): logger.info(f"Pair {pair} is currently locked.") return False # running get_signal on historical data fetched - (buy, sell) = self.strategy.get_signal( - pair, self.strategy.ticker_interval, - self.dataprovider.ohlcv(pair, self.strategy.ticker_interval)) + (buy, sell) = self.strategy.get_signal(pair, self.strategy.ticker_interval, dataframe) if buy and not sell: if not self.get_free_open_trades(): diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index d23af3f6e..765e23b0b 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -277,15 +277,20 @@ class IStrategy(ABC): latest = dataframe.iloc[-1] - # Check if dataframe is out of date + # Check if dataframe has new candle signal_date = arrow.get(latest['date']) interval_minutes = timeframe_to_minutes(interval) + if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: + logger.warning('Old candle for pair %s. Last tick is %s minutes old', + pair, (arrow.utcnow() - signal_date).total_seconds() // 60) + + # Check if dataframe is out of date offset = self.config.get('exchange', {}).get('outdated_offset', 5) if signal_date < (arrow.utcnow().shift(minutes=-(interval_minutes * 2 + offset))): logger.warning( 'Outdated history for pair %s. Last tick is %s minutes old', pair, - (arrow.utcnow() - signal_date).seconds // 60 + (arrow.utcnow() - signal_date).total_seconds() // 60 ) return False, False From 4e45abbf139a08c79b2c1adee12cffbceda259c9 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 16:44:45 +0100 Subject: [PATCH 002/244] added return false, false --- freqtrade/strategy/interface.py | 1 + 1 file changed, 1 insertion(+) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index 765e23b0b..a26e8edbd 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -283,6 +283,7 @@ class IStrategy(ABC): if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: logger.warning('Old candle for pair %s. Last tick is %s minutes old', pair, (arrow.utcnow() - signal_date).total_seconds() // 60) + return False, False # Check if dataframe is out of date offset = self.config.get('exchange', {}).get('outdated_offset', 5) From d239e999043fe50b01b1e2a79b074bb3c9de707a Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 16:49:37 +0100 Subject: [PATCH 003/244] removed old code from create_trade --- freqtrade/freqtradebot.py | 1 - 1 file changed, 1 deletion(-) diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index 02d8b5b56..90f2c0c02 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -393,7 +393,6 @@ class FreqtradeBot: dataframe = self.dataprovider.ohlcv(pair, self.strategy.ticker_interval) latest = dataframe.iloc[-1] # Check if dataframe is out of date - signal_date = arrow.get(latest['date']) if self.strategy.is_pair_locked(pair): logger.info(f"Pair {pair} is currently locked.") From a85d17327bebfc7432a968464ac9b15f587f2813 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 16:54:27 +0100 Subject: [PATCH 004/244] fix --- freqtrade/freqtradebot.py | 4 +--- 1 file changed, 1 insertion(+), 3 deletions(-) diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index 90f2c0c02..fd4daf7aa 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -390,15 +390,13 @@ class FreqtradeBot: """ logger.debug(f"create_trade for pair {pair}") - dataframe = self.dataprovider.ohlcv(pair, self.strategy.ticker_interval) - latest = dataframe.iloc[-1] # Check if dataframe is out of date - if self.strategy.is_pair_locked(pair): logger.info(f"Pair {pair} is currently locked.") return False # running get_signal on historical data fetched + dataframe = self.dataprovider.ohlcv(pair, self.strategy.ticker_interval) (buy, sell) = self.strategy.get_signal(pair, self.strategy.ticker_interval, dataframe) if buy and not sell: From a82cdf0add7f0fca9f0a3a4d32b5510aa4b5b461 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 17:04:51 +0100 Subject: [PATCH 005/244] fixed test --- freqtrade/strategy/interface.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index a26e8edbd..47bdf781d 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -282,7 +282,7 @@ class IStrategy(ABC): interval_minutes = timeframe_to_minutes(interval) if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: logger.warning('Old candle for pair %s. Last tick is %s minutes old', - pair, (arrow.utcnow() - signal_date).total_seconds() // 60) + pair, int(arrow.utcnow() - signal_date).total_seconds() // 60) return False, False # Check if dataframe is out of date @@ -291,7 +291,7 @@ class IStrategy(ABC): logger.warning( 'Outdated history for pair %s. Last tick is %s minutes old', pair, - (arrow.utcnow() - signal_date).total_seconds() // 60 + int((arrow.utcnow() - signal_date).total_seconds() // 60) ) return False, False From d667acb3081132adc7207c4dad396e184ebec544 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 17:10:57 +0100 Subject: [PATCH 006/244] fixed typo --- freqtrade/strategy/interface.py | 44 ++++++++++++++++----------------- 1 file changed, 22 insertions(+), 22 deletions(-) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index 47bdf781d..781bd7a54 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -282,11 +282,11 @@ class IStrategy(ABC): interval_minutes = timeframe_to_minutes(interval) if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: logger.warning('Old candle for pair %s. Last tick is %s minutes old', - pair, int(arrow.utcnow() - signal_date).total_seconds() // 60) + pair, int((arrow.utcnow() - signal_date).total_seconds() // 60) return False, False # Check if dataframe is out of date - offset = self.config.get('exchange', {}).get('outdated_offset', 5) + offset=self.config.get('exchange', {}).get('outdated_offset', 5) if signal_date < (arrow.utcnow().shift(minutes=-(interval_minutes * 2 + offset))): logger.warning( 'Outdated history for pair %s. Last tick is %s minutes old', @@ -295,7 +295,7 @@ class IStrategy(ABC): ) return False, False - (buy, sell) = latest[SignalType.BUY.value] == 1, latest[SignalType.SELL.value] == 1 + (buy, sell)=latest[SignalType.BUY.value] == 1, latest[SignalType.SELL.value] == 1 logger.debug( 'trigger: %s (pair=%s) buy=%s sell=%s', latest['date'], @@ -306,8 +306,8 @@ class IStrategy(ABC): return buy, sell def should_sell(self, trade: Trade, rate: float, date: datetime, buy: bool, - sell: bool, low: float = None, high: float = None, - force_stoploss: float = 0) -> SellCheckTuple: + sell: bool, low: float=None, high: float=None, + force_stoploss: float=0) -> SellCheckTuple: """ This function evaluates if one of the conditions required to trigger a sell has been reached, which can either be a stop-loss, ROI or sell-signal. @@ -317,12 +317,12 @@ class IStrategy(ABC): :return: True if trade should be sold, False otherwise """ # Set current rate to low for backtesting sell - current_rate = low or rate - current_profit = trade.calc_profit_ratio(current_rate) + current_rate=low or rate + current_profit=trade.calc_profit_ratio(current_rate) trade.adjust_min_max_rates(high or current_rate) - stoplossflag = self.stop_loss_reached(current_rate=current_rate, trade=trade, + stoplossflag=self.stop_loss_reached(current_rate=current_rate, trade=trade, current_time=date, current_profit=current_profit, force_stoploss=force_stoploss, high=high) @@ -332,9 +332,9 @@ class IStrategy(ABC): return stoplossflag # Set current rate to high for backtesting sell - current_rate = high or rate - current_profit = trade.calc_profit_ratio(current_rate) - config_ask_strategy = self.config.get('ask_strategy', {}) + current_rate=high or rate + current_profit=trade.calc_profit_ratio(current_rate) + config_ask_strategy=self.config.get('ask_strategy', {}) if buy and config_ask_strategy.get('ignore_roi_if_buy_signal', False): # This one is noisy, commented out @@ -366,29 +366,29 @@ class IStrategy(ABC): def stop_loss_reached(self, current_rate: float, trade: Trade, current_time: datetime, current_profit: float, - force_stoploss: float, high: float = None) -> SellCheckTuple: + force_stoploss: float, high: float=None) -> SellCheckTuple: """ Based on current profit of the trade and configured (trailing) stoploss, decides to sell or not :param current_profit: current profit as ratio """ - stop_loss_value = force_stoploss if force_stoploss else self.stoploss + stop_loss_value=force_stoploss if force_stoploss else self.stoploss # Initiate stoploss with open_rate. Does nothing if stoploss is already set. trade.adjust_stop_loss(trade.open_rate, stop_loss_value, initial=True) if self.trailing_stop: # trailing stoploss handling - sl_offset = self.trailing_stop_positive_offset + sl_offset=self.trailing_stop_positive_offset # Make sure current_profit is calculated using high for backtesting. - high_profit = current_profit if not high else trade.calc_profit_ratio(high) + high_profit=current_profit if not high else trade.calc_profit_ratio(high) # Don't update stoploss if trailing_only_offset_is_reached is true. if not (self.trailing_only_offset_is_reached and high_profit < sl_offset): # Specific handling for trailing_stop_positive if self.trailing_stop_positive is not None and high_profit > sl_offset: - stop_loss_value = self.trailing_stop_positive + stop_loss_value=self.trailing_stop_positive logger.debug(f"{trade.pair} - Using positive stoploss: {stop_loss_value} " f"offset: {sl_offset:.4g} profit: {current_profit:.4f}%") @@ -401,11 +401,11 @@ class IStrategy(ABC): (trade.stop_loss >= current_rate) and (not self.order_types.get('stoploss_on_exchange') or self.config['dry_run'])): - sell_type = SellType.STOP_LOSS + sell_type=SellType.STOP_LOSS # If initial stoploss is not the same as current one then it is trailing. if trade.initial_stop_loss != trade.stop_loss: - sell_type = SellType.TRAILING_STOP_LOSS + sell_type=SellType.TRAILING_STOP_LOSS logger.debug( f"{trade.pair} - HIT STOP: current price at {current_rate:.6f}, " f"stoploss is {trade.stop_loss:.6f}, " @@ -425,10 +425,10 @@ class IStrategy(ABC): :return: minimal ROI entry value or None if none proper ROI entry was found. """ # Get highest entry in ROI dict where key <= trade-duration - roi_list = list(filter(lambda x: x <= trade_dur, self.minimal_roi.keys())) + roi_list=list(filter(lambda x: x <= trade_dur, self.minimal_roi.keys())) if not roi_list: return None, None - roi_entry = max(roi_list) + roi_entry=max(roi_list) return roi_entry, self.minimal_roi[roi_entry] def min_roi_reached(self, trade: Trade, current_profit: float, current_time: datetime) -> bool: @@ -439,8 +439,8 @@ class IStrategy(ABC): :return: True if bot should sell at current rate """ # Check if time matches and current rate is above threshold - trade_dur = int((current_time.timestamp() - trade.open_date.timestamp()) // 60) - _, roi = self.min_roi_reached_entry(trade_dur) + trade_dur=int((current_time.timestamp() - trade.open_date.timestamp()) // 60) + _, roi=self.min_roi_reached_entry(trade_dur) if roi is None: return False else: From 7754742459688e94b258ecf006883e57f0152b78 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 17:10:57 +0100 Subject: [PATCH 007/244] fix tests --- freqtrade/strategy/interface.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index 47bdf781d..23c16d83e 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -282,7 +282,7 @@ class IStrategy(ABC): interval_minutes = timeframe_to_minutes(interval) if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: logger.warning('Old candle for pair %s. Last tick is %s minutes old', - pair, int(arrow.utcnow() - signal_date).total_seconds() // 60) + pair, int((arrow.utcnow() - signal_date).total_seconds() // 60)) return False, False # Check if dataframe is out of date From 2e679ee2ebee44fee6c445e568f03a5f58902aee Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 17:22:21 +0100 Subject: [PATCH 008/244] fixed log message --- freqtrade/strategy/interface.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index 23c16d83e..cf205c709 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -281,7 +281,7 @@ class IStrategy(ABC): signal_date = arrow.get(latest['date']) interval_minutes = timeframe_to_minutes(interval) if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: - logger.warning('Old candle for pair %s. Last tick is %s minutes old', + logger.warning('Old candle for pair %s. Last candle is %s minutes old', pair, int((arrow.utcnow() - signal_date).total_seconds() // 60)) return False, False From d25cf1395b11f130877ef4864b12f480cf940ea9 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 17:22:21 +0100 Subject: [PATCH 009/244] fixed log message --- freqtrade/strategy/interface.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index 23c16d83e..4d82c6c02 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -277,14 +277,6 @@ class IStrategy(ABC): latest = dataframe.iloc[-1] - # Check if dataframe has new candle - signal_date = arrow.get(latest['date']) - interval_minutes = timeframe_to_minutes(interval) - if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: - logger.warning('Old candle for pair %s. Last tick is %s minutes old', - pair, int((arrow.utcnow() - signal_date).total_seconds() // 60)) - return False, False - # Check if dataframe is out of date offset = self.config.get('exchange', {}).get('outdated_offset', 5) if signal_date < (arrow.utcnow().shift(minutes=-(interval_minutes * 2 + offset))): @@ -295,6 +287,14 @@ class IStrategy(ABC): ) return False, False + # Check if dataframe has new candle + signal_date = arrow.get(latest['date']) + interval_minutes = timeframe_to_minutes(interval) + if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: + logger.warning('Old candle for pair %s. Last candle is %s minutes old', + pair, int((arrow.utcnow() - signal_date).total_seconds() // 60)) + return False, False + (buy, sell) = latest[SignalType.BUY.value] == 1, latest[SignalType.SELL.value] == 1 logger.debug( 'trigger: %s (pair=%s) buy=%s sell=%s', From ba596af636b2a5a725cb0f13e4e71d81fa0157ef Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 17:26:57 +0100 Subject: [PATCH 010/244] final? --- freqtrade/strategy/interface.py | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index 4d82c6c02..a2a3c4f3a 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -275,8 +275,6 @@ class IStrategy(ABC): logger.warning('Empty dataframe for pair %s', pair) return False, False - latest = dataframe.iloc[-1] - # Check if dataframe is out of date offset = self.config.get('exchange', {}).get('outdated_offset', 5) if signal_date < (arrow.utcnow().shift(minutes=-(interval_minutes * 2 + offset))): @@ -288,6 +286,7 @@ class IStrategy(ABC): return False, False # Check if dataframe has new candle + latest = dataframe.iloc[-1] signal_date = arrow.get(latest['date']) interval_minutes = timeframe_to_minutes(interval) if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: From c442913febf34cf610fa405bbb714667c45582a5 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 17:28:03 +0100 Subject: [PATCH 011/244] final --- freqtrade/strategy/interface.py | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index a2a3c4f3a..081127370 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -275,6 +275,9 @@ class IStrategy(ABC): logger.warning('Empty dataframe for pair %s', pair) return False, False + latest = dataframe.iloc[-1] + signal_date = arrow.get(latest['date']) + # Check if dataframe is out of date offset = self.config.get('exchange', {}).get('outdated_offset', 5) if signal_date < (arrow.utcnow().shift(minutes=-(interval_minutes * 2 + offset))): @@ -286,8 +289,6 @@ class IStrategy(ABC): return False, False # Check if dataframe has new candle - latest = dataframe.iloc[-1] - signal_date = arrow.get(latest['date']) interval_minutes = timeframe_to_minutes(interval) if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: logger.warning('Old candle for pair %s. Last candle is %s minutes old', From 1395f658723dd5d4464026760adc00d701710907 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 17:29:22 +0100 Subject: [PATCH 012/244] meh --- freqtrade/strategy/interface.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index 081127370..d840e2aea 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -277,6 +277,7 @@ class IStrategy(ABC): latest = dataframe.iloc[-1] signal_date = arrow.get(latest['date']) + interval_minutes = timeframe_to_minutes(interval) # Check if dataframe is out of date offset = self.config.get('exchange', {}).get('outdated_offset', 5) @@ -289,7 +290,6 @@ class IStrategy(ABC): return False, False # Check if dataframe has new candle - interval_minutes = timeframe_to_minutes(interval) if (arrow.utcnow() - signal_date).total_seconds() // 60 >= interval_minutes: logger.warning('Old candle for pair %s. Last candle is %s minutes old', pair, int((arrow.utcnow() - signal_date).total_seconds() // 60)) From d752586b322b43afe652482ce0ddee0b46f0cac4 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Wed, 11 Mar 2020 17:44:03 +0100 Subject: [PATCH 013/244] added test --- tests/strategy/test_interface.py | 31 +++++++++++++++++++++++-------- 1 file changed, 23 insertions(+), 8 deletions(-) diff --git a/tests/strategy/test_interface.py b/tests/strategy/test_interface.py index 86d0738c6..d476b64b0 100644 --- a/tests/strategy/test_interface.py +++ b/tests/strategy/test_interface.py @@ -79,6 +79,21 @@ def test_get_signal_empty_dataframe(default_conf, mocker, caplog, ticker_history assert log_has('Empty dataframe for pair xyz', caplog) +def test_get_signal_old_candle(default_conf, mocker, caplog, ticker_history): + caplog.set_level(logging.INFO) + # default_conf defines a 5m interval. we check interval of previous candle + # this is necessary as the last candle is removed (partial candles) by default + oldtime = arrow.utcnow().shift(minutes=-10) + ticks = DataFrame([{'buy': 1, 'date': oldtime}]) + mocker.patch.object( + _STRATEGY, '_analyze_ticker_internal', + return_value=DataFrame(ticks) + ) + assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'], + ticker_history) + assert log_has('Old candle for pair xyz. Last candle is 10 minutes old', caplog) + + def test_get_signal_old_dataframe(default_conf, mocker, caplog, ticker_history): caplog.set_level(logging.INFO) # default_conf defines a 5m interval. we check interval * 2 + 5m @@ -198,14 +213,14 @@ def test_min_roi_reached3(default_conf, fee) -> None: strategy = StrategyResolver.load_strategy(default_conf) strategy.minimal_roi = min_roi trade = Trade( - pair='ETH/BTC', - stake_amount=0.001, - amount=5, - open_date=arrow.utcnow().shift(hours=-1).datetime, - fee_open=fee.return_value, - fee_close=fee.return_value, - exchange='bittrex', - open_rate=1, + pair='ETH/BTC', + stake_amount=0.001, + amount=5, + open_date=arrow.utcnow().shift(hours=-1).datetime, + fee_open=fee.return_value, + fee_close=fee.return_value, + exchange='bittrex', + open_rate=1, ) assert not strategy.min_roi_reached(trade, 0.02, arrow.utcnow().shift(minutes=-56).datetime) From 1976aaf13e366da4c9b6008fc3f5ddd169bb6d1c Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Sun, 22 Mar 2020 02:22:06 +0100 Subject: [PATCH 014/244] initial push --- docs/utils.md | 10 +++++--- freqtrade/commands/arguments.py | 1 + freqtrade/commands/cli_options.py | 12 +++++++++ freqtrade/commands/hyperopt_commands.py | 32 ++++++++++++++++++++++-- freqtrade/configuration/configuration.py | 6 +++++ tests/commands/test_commands.py | 28 +++++++++++++++++++++ 6 files changed, 84 insertions(+), 5 deletions(-) diff --git a/docs/utils.md b/docs/utils.md index 269b9affd..03924c581 100644 --- a/docs/utils.md +++ b/docs/utils.md @@ -426,9 +426,9 @@ usage: freqtrade hyperopt-list [-h] [-v] [--logfile FILE] [-V] [-c PATH] [--max-trades INT] [--min-avg-time FLOAT] [--max-avg-time FLOAT] [--min-avg-profit FLOAT] [--max-avg-profit FLOAT] - [--min-total-profit FLOAT] - [--max-total-profit FLOAT] [--no-color] - [--print-json] [--no-details] + [--min-total-profit FLOAT] [--max-total-profit FLOAT] + [--min-objective FLOAT] [--max-objective FLOAT] + [--no-color] [--print-json] [--no-details] [--export-csv FILE] optional arguments: @@ -447,6 +447,10 @@ optional arguments: Select epochs on above total profit. --max-total-profit FLOAT Select epochs on below total profit. + --min-objective FLOAT + Select epochs on above objective (- is added by default). + --max-objective FLOAT + Select epochs on below objective (- is added by default). --no-color Disable colorization of hyperopt results. May be useful if you are redirecting output to a file. --print-json Print best result detailization in JSON format. diff --git a/freqtrade/commands/arguments.py b/freqtrade/commands/arguments.py index 8c64c5857..9edd143a6 100644 --- a/freqtrade/commands/arguments.py +++ b/freqtrade/commands/arguments.py @@ -69,6 +69,7 @@ ARGS_HYPEROPT_LIST = ["hyperopt_list_best", "hyperopt_list_profitable", "hyperopt_list_min_avg_time", "hyperopt_list_max_avg_time", "hyperopt_list_min_avg_profit", "hyperopt_list_max_avg_profit", "hyperopt_list_min_total_profit", "hyperopt_list_max_total_profit", + "hyperopt_list_min_objective", "hyperopt_list_max_objective", "print_colorized", "print_json", "hyperopt_list_no_details", "export_csv"] diff --git a/freqtrade/commands/cli_options.py b/freqtrade/commands/cli_options.py index 5cf1b7fce..1402e64ef 100644 --- a/freqtrade/commands/cli_options.py +++ b/freqtrade/commands/cli_options.py @@ -484,6 +484,18 @@ AVAILABLE_CLI_OPTIONS = { type=float, metavar='FLOAT', ), + "hyperopt_list_min_objective": Arg( + '--min-objective', + help='Select epochs on above objective.', + type=float, + metavar='FLOAT', + ), + "hyperopt_list_max_objective": Arg( + '--max-objective', + help='Select epochs on below objective.', + type=float, + metavar='FLOAT', + ), "hyperopt_list_no_details": Arg( '--no-details', help='Do not print best epoch details.', diff --git a/freqtrade/commands/hyperopt_commands.py b/freqtrade/commands/hyperopt_commands.py index 5b2388252..dd9de19e7 100755 --- a/freqtrade/commands/hyperopt_commands.py +++ b/freqtrade/commands/hyperopt_commands.py @@ -35,9 +35,16 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None: 'filter_min_avg_profit': config.get('hyperopt_list_min_avg_profit', None), 'filter_max_avg_profit': config.get('hyperopt_list_max_avg_profit', None), 'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', None), - 'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None) + 'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None), + 'filter_min_objective': config.get('hyperopt_list_min_objective', None), + 'filter_max_objective': config.get('hyperopt_list_max_objective', None) } + if filteroptions['filter_min_objective'] is not None: + filteroptions['filter_min_objective'] = -filteroptions['filter_min_objective'] + if filteroptions['filter_max_objective'] is not None: + filteroptions['filter_max_objective'] = -filteroptions['filter_max_objective'] + trials_file = (config['user_data_dir'] / 'hyperopt_results' / 'hyperopt_results.pickle') @@ -92,9 +99,16 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None: 'filter_min_avg_profit': config.get('hyperopt_list_min_avg_profit', None), 'filter_max_avg_profit': config.get('hyperopt_list_max_avg_profit', None), 'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', None), - 'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None) + 'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None), + 'filter_min_objective': config.get('hyperopt_list_min_objective', None), + 'filter_max_objective': config.get('hyperopt_list_max_objective', None) } + if filteroptions['filter_min_objective'] is not None: + filteroptions['filter_min_objective'] = -filteroptions['filter_min_objective'] + if filteroptions['filter_max_objective'] is not None: + filteroptions['filter_max_objective'] = -filteroptions['filter_max_objective'] + # Previous evaluations trials = Hyperopt.load_previous_results(trials_file) total_epochs = len(trials) @@ -175,6 +189,20 @@ def _hyperopt_filter_trials(trials: List, filteroptions: dict) -> List: x for x in trials if x['results_metrics']['profit'] < filteroptions['filter_max_total_profit'] ] + if filteroptions['filter_min_objective'] is not None: + trials = [x for x in trials if x['results_metrics']['trade_count'] > 0] + # trials = [x for x in trials if x['loss'] != 20] + trials = [ + x for x in trials + if x['loss'] < filteroptions['filter_min_objective'] + ] + if filteroptions['filter_max_objective'] is not None: + trials = [x for x in trials if x['results_metrics']['trade_count'] > 0] + # trials = [x for x in trials if x['loss'] != 20] + trials = [ + x for x in trials + if x['loss'] > filteroptions['filter_max_objective'] + ] logger.info(f"{len(trials)} " + ("best " if filteroptions['only_best'] else "") + diff --git a/freqtrade/configuration/configuration.py b/freqtrade/configuration/configuration.py index e5515670d..c26610336 100644 --- a/freqtrade/configuration/configuration.py +++ b/freqtrade/configuration/configuration.py @@ -334,6 +334,12 @@ class Configuration: self._args_to_config(config, argname='hyperopt_list_max_total_profit', logstring='Parameter --max-total-profit detected: {}') + self._args_to_config(config, argname='hyperopt_list_min_objective', + logstring='Parameter --min-objective detected: {}') + + self._args_to_config(config, argname='hyperopt_list_max_objective', + logstring='Parameter --max-objective detected: {}') + self._args_to_config(config, argname='hyperopt_list_no_details', logstring='Parameter --no-details detected: {}') diff --git a/tests/commands/test_commands.py b/tests/commands/test_commands.py index 4530cd03d..2825a4679 100644 --- a/tests/commands/test_commands.py +++ b/tests/commands/test_commands.py @@ -868,6 +868,34 @@ def test_hyperopt_list(mocker, capsys, hyperopt_results): pargs['config'] = None start_hyperopt_list(pargs) captured = capsys.readouterr() + assert all(x in captured.out + for x in [" 1/12", " 2/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12", + " 9/12", " 11/12"]) + assert all(x not in captured.out + for x in [" 4/12", " 10/12", " 12/12"]) + args = [ + "hyperopt-list", + "--no-details", + "--min-objective", "0.1" + ] + pargs = get_args(args) + pargs['config'] = None + start_hyperopt_list(pargs) + captured = capsys.readouterr() + assert all(x in captured.out + for x in [" 10/12"]) + assert all(x not in captured.out + for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", + " 9/12", " 11/12", " 12/12"]) + args = [ + "hyperopt-list", + "--no-details", + "--max-objective", "0.1" + ] + pargs = get_args(args) + pargs['config'] = None + start_hyperopt_list(pargs) + captured = capsys.readouterr() assert all(x in captured.out for x in [" 1/12", " 2/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12", " 11/12"]) From bf96ef08e0b7bf5c9d47a297f386f64d905a90be Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Sun, 22 Mar 2020 09:39:38 +0100 Subject: [PATCH 015/244] added # flake8: noqa C901 --- freqtrade/commands/hyperopt_commands.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/commands/hyperopt_commands.py b/freqtrade/commands/hyperopt_commands.py index dd9de19e7..c5cf9a969 100755 --- a/freqtrade/commands/hyperopt_commands.py +++ b/freqtrade/commands/hyperopt_commands.py @@ -10,7 +10,7 @@ from freqtrade.state import RunMode logger = logging.getLogger(__name__) - +# flake8: noqa C901 def start_hyperopt_list(args: Dict[str, Any]) -> None: """ List hyperopt epochs previously evaluated From 7143cac64f7c9d3ccd5f14d2ae689016157dcee3 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Mon, 23 Mar 2020 09:41:01 +0100 Subject: [PATCH 016/244] fixed wording of all in cli_options --- freqtrade/commands/cli_options.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/freqtrade/commands/cli_options.py b/freqtrade/commands/cli_options.py index 1402e64ef..e1927a901 100644 --- a/freqtrade/commands/cli_options.py +++ b/freqtrade/commands/cli_options.py @@ -450,49 +450,49 @@ AVAILABLE_CLI_OPTIONS = { ), "hyperopt_list_min_avg_time": Arg( '--min-avg-time', - help='Select epochs on above average time.', + help='Select epochs above average time.', type=float, metavar='FLOAT', ), "hyperopt_list_max_avg_time": Arg( '--max-avg-time', - help='Select epochs on under average time.', + help='Select epochs under average time.', type=float, metavar='FLOAT', ), "hyperopt_list_min_avg_profit": Arg( '--min-avg-profit', - help='Select epochs on above average profit.', + help='Select epochs above average profit.', type=float, metavar='FLOAT', ), "hyperopt_list_max_avg_profit": Arg( '--max-avg-profit', - help='Select epochs on below average profit.', + help='Select epochs below average profit.', type=float, metavar='FLOAT', ), "hyperopt_list_min_total_profit": Arg( '--min-total-profit', - help='Select epochs on above total profit.', + help='Select epochs above total profit.', type=float, metavar='FLOAT', ), "hyperopt_list_max_total_profit": Arg( '--max-total-profit', - help='Select epochs on below total profit.', + help='Select epochs below total profit.', type=float, metavar='FLOAT', ), "hyperopt_list_min_objective": Arg( '--min-objective', - help='Select epochs on above objective.', + help='Select epochs above objective.', type=float, metavar='FLOAT', ), "hyperopt_list_max_objective": Arg( '--max-objective', - help='Select epochs on below objective.', + help='Select epochs below objective.', type=float, metavar='FLOAT', ), From 0a87fe76a363db2056aee42fed2d3dd4902b48fa Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Mon, 23 Mar 2020 11:17:56 +0100 Subject: [PATCH 017/244] unified language --- freqtrade/commands/cli_options.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/commands/cli_options.py b/freqtrade/commands/cli_options.py index e1927a901..47e7187a8 100644 --- a/freqtrade/commands/cli_options.py +++ b/freqtrade/commands/cli_options.py @@ -456,7 +456,7 @@ AVAILABLE_CLI_OPTIONS = { ), "hyperopt_list_max_avg_time": Arg( '--max-avg-time', - help='Select epochs under average time.', + help='Select epochs below average time.', type=float, metavar='FLOAT', ), From ef4426a65c08f767314a1a789d3b06c7b9a98072 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Fri, 27 Mar 2020 03:01:51 +0100 Subject: [PATCH 018/244] added comma --- freqtrade/commands/hyperopt_commands.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/commands/hyperopt_commands.py b/freqtrade/commands/hyperopt_commands.py index c5cf9a969..33abb7823 100755 --- a/freqtrade/commands/hyperopt_commands.py +++ b/freqtrade/commands/hyperopt_commands.py @@ -37,7 +37,7 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None: 'filter_min_total_profit': config.get('hyperopt_list_min_total_profit', None), 'filter_max_total_profit': config.get('hyperopt_list_max_total_profit', None), 'filter_min_objective': config.get('hyperopt_list_min_objective', None), - 'filter_max_objective': config.get('hyperopt_list_max_objective', None) + 'filter_max_objective': config.get('hyperopt_list_max_objective', None), } if filteroptions['filter_min_objective'] is not None: From 2fb3d94938e8d3bbe4759b8ef670f40e4c3356b0 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Sat, 22 Feb 2020 15:49:18 +0100 Subject: [PATCH 019/244] added wins/draws/losses --- freqtrade/optimize/hyperopt.py | 10 +++++++++- 1 file changed, 9 insertions(+), 1 deletion(-) diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index fcf50af6a..3f704b33c 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -533,10 +533,14 @@ class Hyperopt: 'total_profit': total_profit, } - def _calculate_results_metrics(self, backtesting_results: DataFrame) -> Dict: + def _calculate_results_metrics(self, backtesting_results: DataFrame) -> Dict: return { 'trade_count': len(backtesting_results.index), + 'wins': len(backtesting_results[backtesting_results.profit_percent > 0]), + 'draws': len(backtesting_results[backtesting_results.profit_percent == 0]), + 'losses': len(backtesting_results[backtesting_results.profit_percent < 0]), 'avg_profit': backtesting_results.profit_percent.mean() * 100.0, + 'median_profit': backtesting_results.profit_percent.median() * 100.0, 'total_profit': backtesting_results.profit_abs.sum(), 'profit': backtesting_results.profit_percent.sum() * 100.0, 'duration': backtesting_results.trade_duration.mean(), @@ -548,7 +552,11 @@ class Hyperopt: """ stake_cur = self.config['stake_currency'] return (f"{results_metrics['trade_count']:6d} trades. " + f"{results_metrics['wins']:6d} wins. " + f"{results_metrics['draws']:6d} draws. " + f"{results_metrics['losses']:6d} losses. " f"Avg profit {results_metrics['avg_profit']: 6.2f}%. " + f"Median profit {results_metrics['median_profit']: 6.2f}%. " f"Total profit {results_metrics['total_profit']: 11.8f} {stake_cur} " f"({results_metrics['profit']: 7.2f}\N{GREEK CAPITAL LETTER SIGMA}%). " f"Avg duration {results_metrics['duration']:5.1f} min." From 6147498fd425d151f162e7ed0ebc855df4e1785d Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Sat, 22 Feb 2020 15:51:36 +0100 Subject: [PATCH 020/244] fixed indent --- freqtrade/optimize/hyperopt.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index 3f704b33c..f2221d6a7 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -533,7 +533,7 @@ class Hyperopt: 'total_profit': total_profit, } - def _calculate_results_metrics(self, backtesting_results: DataFrame) -> Dict: + def _calculate_results_metrics(self, backtesting_results: DataFrame) -> Dict: return { 'trade_count': len(backtesting_results.index), 'wins': len(backtesting_results[backtesting_results.profit_percent > 0]), From 72b088d85f9b4573d35c2d165d1504aeb83caec8 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Mon, 2 Mar 2020 02:50:27 +0100 Subject: [PATCH 021/244] added test --- tests/optimize/test_hyperopt.py | 12 +++++++++--- 1 file changed, 9 insertions(+), 3 deletions(-) diff --git a/tests/optimize/test_hyperopt.py b/tests/optimize/test_hyperopt.py index b5106be0c..cdbe7f161 100644 --- a/tests/optimize/test_hyperopt.py +++ b/tests/optimize/test_hyperopt.py @@ -740,8 +740,10 @@ def test_generate_optimizer(mocker, default_conf) -> None: } response_expected = { 'loss': 1.9840569076926293, - 'results_explanation': (' 1 trades. Avg profit 2.31%. Total profit 0.00023300 BTC ' - '( 2.31\N{GREEK CAPITAL LETTER SIGMA}%). Avg duration 100.0 min.' + 'results_explanation': (' 1 trades. 1 wins. 0 draws. 0 losses. ' + 'Avg profit 2.31%. Median profit 2.31%. Total profit ' + '0.00023300 BTC ( 2.31\N{GREEK CAPITAL LETTER SIGMA}%). ' + 'Avg duration 100.0 min.' ).encode(locale.getpreferredencoding(), 'replace').decode('utf-8'), 'params_details': {'buy': {'adx-enabled': False, 'adx-value': 0, @@ -772,10 +774,14 @@ def test_generate_optimizer(mocker, default_conf) -> None: 'trailing_stop_positive_offset': 0.07}}, 'params_dict': optimizer_param, 'results_metrics': {'avg_profit': 2.3117, + 'draws': 0, 'duration': 100.0, + 'losses': 0, + 'median_profit': 2.3117, 'profit': 2.3117, 'total_profit': 0.000233, - 'trade_count': 1}, + 'trade_count': 1, + 'wins': 1}, 'total_profit': 0.00023300 } From 181b12b3a811bf461f602cfc7b111cc13ebaaaee Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Sat, 22 Feb 2020 15:49:18 +0100 Subject: [PATCH 022/244] added wins/draws/losses --- freqtrade/optimize/hyperopt.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index f2221d6a7..3f704b33c 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -533,7 +533,7 @@ class Hyperopt: 'total_profit': total_profit, } - def _calculate_results_metrics(self, backtesting_results: DataFrame) -> Dict: + def _calculate_results_metrics(self, backtesting_results: DataFrame) -> Dict: return { 'trade_count': len(backtesting_results.index), 'wins': len(backtesting_results[backtesting_results.profit_percent > 0]), From c9711678fd414e9ff7bb82496fe1ec6c98a9f5a8 Mon Sep 17 00:00:00 2001 From: Yazeed Al Oyoun Date: Sat, 22 Feb 2020 15:51:36 +0100 Subject: [PATCH 023/244] fixed indent --- freqtrade/optimize/hyperopt.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index 3f704b33c..f2221d6a7 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -533,7 +533,7 @@ class Hyperopt: 'total_profit': total_profit, } - def _calculate_results_metrics(self, backtesting_results: DataFrame) -> Dict: + def _calculate_results_metrics(self, backtesting_results: DataFrame) -> Dict: return { 'trade_count': len(backtesting_results.index), 'wins': len(backtesting_results[backtesting_results.profit_percent > 0]), From bfa55f31c0aa51d6de3864a8dfe001d1aac6aa62 Mon Sep 17 00:00:00 2001 From: hroff-1902 <47309513+hroff-1902@users.noreply.github.com> Date: Wed, 20 May 2020 17:45:27 +0300 Subject: [PATCH 024/244] Remove wrong comment --- freqtrade/freqtradebot.py | 1 - 1 file changed, 1 deletion(-) diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index dd419f541..32662ae09 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -402,7 +402,6 @@ class FreqtradeBot: """ logger.debug(f"create_trade for pair {pair}") - # Check if dataframe is out of date if self.strategy.is_pair_locked(pair): logger.info(f"Pair {pair} is currently locked.") return False From f3824d970bb511d1a230fe6de713f735b81c80c7 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 29 May 2020 20:18:38 +0200 Subject: [PATCH 025/244] Use dict for symbol_is_pair --- freqtrade/commands/list_commands.py | 2 +- freqtrade/exchange/exchange.py | 12 +++++++----- 2 files changed, 8 insertions(+), 6 deletions(-) diff --git a/freqtrade/commands/list_commands.py b/freqtrade/commands/list_commands.py index e5131f9b2..bc4bd694f 100644 --- a/freqtrade/commands/list_commands.py +++ b/freqtrade/commands/list_commands.py @@ -163,7 +163,7 @@ def start_list_markets(args: Dict[str, Any], pairs_only: bool = False) -> None: tabular_data.append({'Id': v['id'], 'Symbol': v['symbol'], 'Base': v['base'], 'Quote': v['quote'], 'Active': market_is_active(v), - **({'Is pair': symbol_is_pair(v['symbol'])} + **({'Is pair': symbol_is_pair(v)} if not pairs_only else {})}) if (args.get('print_one_column', False) or diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index af745e8d0..09f700bbb 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -214,7 +214,7 @@ class Exchange: if quote_currencies: markets = {k: v for k, v in markets.items() if v['quote'] in quote_currencies} if pairs_only: - markets = {k: v for k, v in markets.items() if symbol_is_pair(v['symbol'])} + markets = {k: v for k, v in markets.items() if symbol_is_pair(v)} if active_only: markets = {k: v for k, v in markets.items() if market_is_active(v)} return markets @@ -1210,7 +1210,7 @@ def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime: return datetime.fromtimestamp(new_timestamp, tz=timezone.utc) -def symbol_is_pair(market_symbol: str, base_currency: str = None, +def symbol_is_pair(market_symbol: Dict[str, Any], base_currency: str = None, quote_currency: str = None) -> bool: """ Check if the market symbol is a pair, i.e. that its symbol consists of the base currency and the @@ -1218,10 +1218,12 @@ def symbol_is_pair(market_symbol: str, base_currency: str = None, it also checks that the symbol contains appropriate base and/or quote currency part before and after the separating character correspondingly. """ - symbol_parts = market_symbol.split('/') + symbol_parts = market_symbol['symbol'].split('/') return (len(symbol_parts) == 2 and - (symbol_parts[0] == base_currency if base_currency else len(symbol_parts[0]) > 0) and - (symbol_parts[1] == quote_currency if quote_currency else len(symbol_parts[1]) > 0)) + (market_symbol.get('base') == base_currency + if base_currency else len(symbol_parts[0]) > 0) and + (market_symbol.get('quote') == quote_currency + if quote_currency else len(symbol_parts[1]) > 0)) def market_is_active(market: Dict) -> bool: From ffa93377b4e66f7182fcfcee305c8635299b106b Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 1 Jun 2020 09:34:03 +0200 Subject: [PATCH 026/244] Test colorama init again (after the fixes done to progressbar) --- freqtrade/optimize/hyperopt.py | 19 ++++++++++--------- 1 file changed, 10 insertions(+), 9 deletions(-) diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index 3a28de785..bd80f7069 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -4,26 +4,26 @@ This module contains the hyperopt logic """ +import io import locale import logging import random import warnings -from math import ceil from collections import OrderedDict +from math import ceil from operator import itemgetter from pathlib import Path from pprint import pprint from typing import Any, Dict, List, Optional +import progressbar import rapidjson +import tabulate from colorama import Fore, Style +from colorama import init as colorama_init from joblib import (Parallel, cpu_count, delayed, dump, load, wrap_non_picklable_objects) -from pandas import DataFrame, json_normalize, isna -import progressbar -import tabulate -from os import path -import io +from pandas import DataFrame, isna, json_normalize from freqtrade.data.converter import trim_dataframe from freqtrade.data.history import get_timerange @@ -32,7 +32,8 @@ from freqtrade.misc import plural, round_dict from freqtrade.optimize.backtesting import Backtesting # Import IHyperOpt and IHyperOptLoss to allow unpickling classes from these modules from freqtrade.optimize.hyperopt_interface import IHyperOpt # noqa: F401 -from freqtrade.optimize.hyperopt_loss_interface import IHyperOptLoss # noqa: F401 +from freqtrade.optimize.hyperopt_loss_interface import \ + IHyperOptLoss # noqa: F401 from freqtrade.resolvers.hyperopt_resolver import (HyperOptLossResolver, HyperOptResolver) @@ -374,7 +375,7 @@ class Hyperopt: return # Verification for overwrite - if path.isfile(csv_file): + if Path(csv_file).is_file(): logger.error(f"CSV file already exists: {csv_file}") return @@ -603,7 +604,7 @@ class Hyperopt: data, timerange = self.backtesting.load_bt_data() preprocessed = self.backtesting.strategy.ohlcvdata_to_dataframe(data) - + colorama_init(autoreset=True) # Trim startup period from analyzed dataframe for pair, df in preprocessed.items(): preprocessed[pair] = trim_dataframe(df, timerange) From d9afef8fe19d1fee53cd3c0421cdd3ffcdb27a91 Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 1 Jun 2020 09:37:10 +0200 Subject: [PATCH 027/244] Move colorama_init to where it was --- freqtrade/optimize/hyperopt.py | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index bd80f7069..566ba5de8 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -604,7 +604,7 @@ class Hyperopt: data, timerange = self.backtesting.load_bt_data() preprocessed = self.backtesting.strategy.ohlcvdata_to_dataframe(data) - colorama_init(autoreset=True) + # Trim startup period from analyzed dataframe for pair, df in preprocessed.items(): preprocessed[pair] = trim_dataframe(df, timerange) @@ -629,6 +629,10 @@ class Hyperopt: self.dimensions: List[Dimension] = self.hyperopt_space() self.opt = self.get_optimizer(self.dimensions, config_jobs) + + if self.print_colorized: + colorama_init(autoreset=True) + try: with Parallel(n_jobs=config_jobs) as parallel: jobs = parallel._effective_n_jobs() From f6edb32a33c5ddc6a48c7bd9e3abeb01871a6054 Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 1 Jun 2020 09:55:52 +0200 Subject: [PATCH 028/244] Run hyperopt with --print-all --- .github/workflows/ci.yml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 239576c61..2c6141344 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -88,7 +88,7 @@ jobs: run: | cp config.json.example config.json freqtrade create-userdir --userdir user_data - freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt + freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt --print-all - name: Flake8 run: | @@ -150,7 +150,7 @@ jobs: run: | cp config.json.example config.json freqtrade create-userdir --userdir user_data - freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt + freqtrade hyperopt --datadir tests/testdata -e 5 --strategy SampleStrategy --hyperopt SampleHyperOpt --print-all - name: Flake8 run: | From b22e3a67d86b27d06ab2c1b4bee0d8f0b2f0f382 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 2 Jun 2020 20:29:48 +0200 Subject: [PATCH 029/244] rename symbol_is_pair to market_is_tradable Make it part of the exchange class, so subclasses can override this --- freqtrade/commands/list_commands.py | 4 ++-- freqtrade/exchange/__init__.py | 3 +-- freqtrade/exchange/exchange.py | 31 +++++++++++++---------------- freqtrade/exchange/ftx.py | 12 ++++++++++- freqtrade/exchange/kraken.py | 12 ++++++++++- 5 files changed, 39 insertions(+), 23 deletions(-) diff --git a/freqtrade/commands/list_commands.py b/freqtrade/commands/list_commands.py index bc4bd694f..503f8a4ee 100644 --- a/freqtrade/commands/list_commands.py +++ b/freqtrade/commands/list_commands.py @@ -14,7 +14,7 @@ from freqtrade.configuration import setup_utils_configuration from freqtrade.constants import USERPATH_HYPEROPTS, USERPATH_STRATEGIES from freqtrade.exceptions import OperationalException from freqtrade.exchange import (available_exchanges, ccxt_exchanges, - market_is_active, symbol_is_pair) + market_is_active) from freqtrade.misc import plural from freqtrade.resolvers import ExchangeResolver, StrategyResolver from freqtrade.state import RunMode @@ -163,7 +163,7 @@ def start_list_markets(args: Dict[str, Any], pairs_only: bool = False) -> None: tabular_data.append({'Id': v['id'], 'Symbol': v['symbol'], 'Base': v['base'], 'Quote': v['quote'], 'Active': market_is_active(v), - **({'Is pair': symbol_is_pair(v)} + **({'Is pair': exchange.market_is_tradable(v)} if not pairs_only else {})}) if (args.get('print_one_column', False) or diff --git a/freqtrade/exchange/__init__.py b/freqtrade/exchange/__init__.py index a39f8f5df..bdf1f91ec 100644 --- a/freqtrade/exchange/__init__.py +++ b/freqtrade/exchange/__init__.py @@ -12,8 +12,7 @@ from freqtrade.exchange.exchange import (timeframe_to_seconds, timeframe_to_msecs, timeframe_to_next_date, timeframe_to_prev_date) -from freqtrade.exchange.exchange import (market_is_active, - symbol_is_pair) +from freqtrade.exchange.exchange import (market_is_active) from freqtrade.exchange.kraken import Kraken from freqtrade.exchange.binance import Binance from freqtrade.exchange.bibox import Bibox diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index 09f700bbb..bec8b9686 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -214,7 +214,7 @@ class Exchange: if quote_currencies: markets = {k: v for k, v in markets.items() if v['quote'] in quote_currencies} if pairs_only: - markets = {k: v for k, v in markets.items() if symbol_is_pair(v)} + markets = {k: v for k, v in markets.items() if self.symbol_is_pair(v)} if active_only: markets = {k: v for k, v in markets.items() if market_is_active(v)} return markets @@ -238,6 +238,19 @@ class Exchange: """ return self.markets.get(pair, {}).get('base', '') + def market_is_tradable(self, market: Dict[str, Any]) -> bool: + """ + Check if the market symbol is tradable by Freqtrade. + By default, checks if it's splittable by `/` and both sides correspond to base / quote + """ + symbol_parts = market['symbol'].split('/') + return (len(symbol_parts) == 2 and + len(symbol_parts[0]) > 0 and + len(symbol_parts[1]) > 0 and + symbol_parts[0] == market.get('base') and + symbol_parts[1] == market.get('quote') + ) + def klines(self, pair_interval: Tuple[str, str], copy: bool = True) -> DataFrame: if pair_interval in self._klines: return self._klines[pair_interval].copy() if copy else self._klines[pair_interval] @@ -1210,22 +1223,6 @@ def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime: return datetime.fromtimestamp(new_timestamp, tz=timezone.utc) -def symbol_is_pair(market_symbol: Dict[str, Any], base_currency: str = None, - quote_currency: str = None) -> bool: - """ - Check if the market symbol is a pair, i.e. that its symbol consists of the base currency and the - quote currency separated by '/' character. If base_currency and/or quote_currency is passed, - it also checks that the symbol contains appropriate base and/or quote currency part before - and after the separating character correspondingly. - """ - symbol_parts = market_symbol['symbol'].split('/') - return (len(symbol_parts) == 2 and - (market_symbol.get('base') == base_currency - if base_currency else len(symbol_parts[0]) > 0) and - (market_symbol.get('quote') == quote_currency - if quote_currency else len(symbol_parts[1]) > 0)) - - def market_is_active(market: Dict) -> bool: """ Return True if the market is active. diff --git a/freqtrade/exchange/ftx.py b/freqtrade/exchange/ftx.py index 75915122b..cad11bbfa 100644 --- a/freqtrade/exchange/ftx.py +++ b/freqtrade/exchange/ftx.py @@ -1,6 +1,6 @@ """ FTX exchange subclass """ import logging -from typing import Dict +from typing import Any, Dict from freqtrade.exchange import Exchange @@ -12,3 +12,13 @@ class Ftx(Exchange): _ft_has: Dict = { "ohlcv_candle_limit": 1500, } + + def market_is_tradable(self, market: Dict[str, Any]) -> bool: + """ + Check if the market symbol is tradable by Freqtrade. + Default checks + check if pair is darkpool pair. + """ + parent_check = super().market_is_tradable(market) + + return (parent_check and + market.get('spot', False) is True) diff --git a/freqtrade/exchange/kraken.py b/freqtrade/exchange/kraken.py index 932d82a27..af75ef9b2 100644 --- a/freqtrade/exchange/kraken.py +++ b/freqtrade/exchange/kraken.py @@ -1,6 +1,6 @@ """ Kraken exchange subclass """ import logging -from typing import Dict +from typing import Any, Dict import ccxt @@ -21,6 +21,16 @@ class Kraken(Exchange): "trades_pagination_arg": "since", } + def market_is_tradable(self, market: Dict[str, Any]) -> bool: + """ + Check if the market symbol is tradable by Freqtrade. + Default checks + check if pair is darkpool pair. + """ + parent_check = super().market_is_tradable(market) + + return (parent_check and + market.get('darkpool', False) is False) + @retrier def get_balances(self) -> dict: if self._config['dry_run']: From b74a3addc65514aa8f7494ca995caa4bee74c4b5 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 2 Jun 2020 20:30:31 +0200 Subject: [PATCH 030/244] Update tests --- freqtrade/exchange/ftx.py | 2 +- tests/exchange/test_exchange.py | 55 +++++++++++++++++++++------------ 2 files changed, 37 insertions(+), 20 deletions(-) diff --git a/freqtrade/exchange/ftx.py b/freqtrade/exchange/ftx.py index cad11bbfa..e5f083fb6 100644 --- a/freqtrade/exchange/ftx.py +++ b/freqtrade/exchange/ftx.py @@ -16,7 +16,7 @@ class Ftx(Exchange): def market_is_tradable(self, market: Dict[str, Any]) -> bool: """ Check if the market symbol is tradable by Freqtrade. - Default checks + check if pair is darkpool pair. + Default checks + check if pair is spot pair (no futures trading yet). """ parent_check = super().market_is_tradable(market) diff --git a/tests/exchange/test_exchange.py b/tests/exchange/test_exchange.py index e40f691a8..b87acc27c 100644 --- a/tests/exchange/test_exchange.py +++ b/tests/exchange/test_exchange.py @@ -15,7 +15,7 @@ from freqtrade.exceptions import (DependencyException, InvalidOrderException, OperationalException, TemporaryError) from freqtrade.exchange import Binance, Exchange, Kraken from freqtrade.exchange.common import API_RETRY_COUNT -from freqtrade.exchange.exchange import (market_is_active, symbol_is_pair, +from freqtrade.exchange.exchange import (market_is_active, timeframe_to_minutes, timeframe_to_msecs, timeframe_to_next_date, @@ -2117,25 +2117,42 @@ def test_timeframe_to_next_date(): assert timeframe_to_next_date("5m") > date -@pytest.mark.parametrize("market_symbol,base_currency,quote_currency,expected_result", [ - ("BTC/USDT", None, None, True), - ("USDT/BTC", None, None, True), - ("BTCUSDT", None, None, False), - ("BTC/USDT", None, "USDT", True), - ("USDT/BTC", None, "USDT", False), - ("BTCUSDT", None, "USDT", False), - ("BTC/USDT", "BTC", None, True), - ("USDT/BTC", "BTC", None, False), - ("BTCUSDT", "BTC", None, False), - ("BTC/USDT", "BTC", "USDT", True), - ("BTC/USDT", "USDT", "BTC", False), - ("BTC/USDT", "BTC", "USD", False), - ("BTCUSDT", "BTC", "USDT", False), - ("BTC/", None, None, False), - ("/USDT", None, None, False), +@pytest.mark.parametrize("market_symbol,base,quote,exchange,add_dict,expected_result", [ + ("BTC/USDT", 'BTC', 'USDT', "binance", {}, True), + ("USDT/BTC", 'USDT', 'BTC', "binance", {}, True), + ("USDT/BTC", 'BTC', 'USDT', "binance", {}, False), # Reversed currencies + ("BTCUSDT", 'BTC', 'USDT', "binance", {}, False), # No seperating / + ("BTCUSDT", None, "USDT", "binance", {}, False), # + ("USDT/BTC", "BTC", None, "binance", {}, False), + ("BTCUSDT", "BTC", None, "binance", {}, False), + ("BTC/USDT", "BTC", "USDT", "binance", {}, True), + ("BTC/USDT", "USDT", "BTC", "binance", {}, False), # reversed currencies + ("BTC/USDT", "BTC", "USD", "binance", {}, False), # Wrong quote currency + ("BTC/", "BTC", 'UNK', "binance", {}, False), + ("/USDT", 'UNK', 'USDT', "binance", {}, False), + ("BTC/EUR", 'BTC', 'EUR', "kraken", {"darkpool": False}, True), + ("EUR/BTC", 'EUR', 'BTC', "kraken", {"darkpool": False}, True), + ("EUR/BTC", 'BTC', 'EUR', "kraken", {"darkpool": False}, False), # Reversed currencies + ("BTC/EUR", 'BTC', 'USD', "kraken", {"darkpool": False}, False), # wrong quote currency + ("BTC/EUR", 'BTC', 'EUR', "kraken", {"darkpool": True}, False), # no darkpools + ("BTC/EUR.d", 'BTC', 'EUR', "kraken", {"darkpool": True}, False), # no darkpools + ("BTC/USD", 'BTC', 'USD', "ftx", {'spot': True}, True), + ("USD/BTC", 'USD', 'BTC', "ftx", {'spot': True}, True), + ("BTC/USD", 'BTC', 'USDT', "ftx", {'spot': True}, False), # Wrong quote currency + ("BTC/USD", 'USD', 'BTC', "ftx", {'spot': True}, False), # Reversed currencies + ("BTC/USD", 'BTC', 'USD', "ftx", {'spot': False}, False), # Can only trade spot markets + ("BTC-PERP", 'BTC', 'USD', "ftx", {'spot': False}, False), # Can only trade spot markets ]) -def test_symbol_is_pair(market_symbol, base_currency, quote_currency, expected_result) -> None: - assert symbol_is_pair(market_symbol, base_currency, quote_currency) == expected_result +def test_market_is_tradable(mocker, default_conf, market_symbol, base, + quote, add_dict, exchange, expected_result) -> None: + ex = get_patched_exchange(mocker, default_conf, id=exchange) + market = { + 'symbol': market_symbol, + 'base': base, + 'quote': quote, + **(add_dict), + } + assert ex.market_is_tradable(market) == expected_result @pytest.mark.parametrize("market,expected_result", [ From 08049d23b48242c5c468102b4ae8cb182a9236cc Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 2 Jun 2020 20:41:29 +0200 Subject: [PATCH 031/244] Use "market_is_tradable" for whitelist validation --- freqtrade/exchange/exchange.py | 2 +- freqtrade/pairlist/IPairList.py | 5 +++++ tests/pairlist/test_pairlist.py | 4 +++- 3 files changed, 9 insertions(+), 2 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index bec8b9686..a2bb8627a 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -214,7 +214,7 @@ class Exchange: if quote_currencies: markets = {k: v for k, v in markets.items() if v['quote'] in quote_currencies} if pairs_only: - markets = {k: v for k, v in markets.items() if self.symbol_is_pair(v)} + markets = {k: v for k, v in markets.items() if self.market_is_tradable(v)} if active_only: markets = {k: v for k, v in markets.items() if market_is_active(v)} return markets diff --git a/freqtrade/pairlist/IPairList.py b/freqtrade/pairlist/IPairList.py index f48a7dcfd..61fdc73ad 100644 --- a/freqtrade/pairlist/IPairList.py +++ b/freqtrade/pairlist/IPairList.py @@ -159,6 +159,11 @@ class IPairList(ABC): f"{self._exchange.name}. Removing it from whitelist..") continue + if not self._exchange.market_is_tradable(markets[pair]): + logger.warning(f"Pair {pair} is not tradable with Freqtrade." + "Removing it from whitelist..") + continue + if self._exchange.get_pair_quote_currency(pair) != self._config['stake_currency']: logger.warning(f"Pair {pair} is not compatible with your stake currency " f"{self._config['stake_currency']}. Removing it from whitelist..") diff --git a/tests/pairlist/test_pairlist.py b/tests/pairlist/test_pairlist.py index 421f06911..c6d1eeb38 100644 --- a/tests/pairlist/test_pairlist.py +++ b/tests/pairlist/test_pairlist.py @@ -400,7 +400,9 @@ def test_pairlist_class(mocker, whitelist_conf, markets, pairlist): # BCH/BTC not available (['ETH/BTC', 'TKN/BTC', 'BCH/BTC'], "is not compatible with exchange"), # BTT/BTC is inactive - (['ETH/BTC', 'TKN/BTC', 'BTT/BTC'], "Market is not active") + (['ETH/BTC', 'TKN/BTC', 'BTT/BTC'], "Market is not active"), + # XLTCUSDT is not a valid pair + (['ETH/BTC', 'TKN/BTC', 'XLTCUSDT'], "is not tradable with Freqtrade"), ]) def test__whitelist_for_active_markets(mocker, whitelist_conf, markets, pairlist, whitelist, caplog, log_message, tickers): From 9dba2a34f9edc91a9e0e3ab0f970fb3286aa9b75 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 16 Jun 2020 10:16:23 +0200 Subject: [PATCH 032/244] Add note for hyperopt color support on windows --- docs/hyperopt.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/hyperopt.md b/docs/hyperopt.md index 8efc51a39..9f7f97476 100644 --- a/docs/hyperopt.md +++ b/docs/hyperopt.md @@ -370,6 +370,9 @@ By default, hyperopt prints colorized results -- epochs with positive profit are You can use the `--print-all` command line option if you would like to see all results in the hyperopt output, not only the best ones. When `--print-all` is used, current best results are also colorized by default -- they are printed in bold (bright) style. This can also be switched off with the `--no-color` command line option. +!!! Note "Windows and color output" + Windows does not support color-output nativly, therefore it is automatically disabled. To have color-output for hyperopt running under windows, please consider using WSL. + ### Understand Hyperopt ROI results If you are optimizing ROI (i.e. if optimization search-space contains 'all', 'default' or 'roi'), your result will look as follows and include a ROI table: From 2f759825e4c670af51e4e17b074f96f48ff5ce16 Mon Sep 17 00:00:00 2001 From: Confucius-The-Great <40965179+qkum@users.noreply.github.com> Date: Tue, 30 Jun 2020 11:01:00 +0200 Subject: [PATCH 033/244] Update faq.md Major changes :) --- docs/faq.md | 27 ++++++++++++++++++--------- 1 file changed, 18 insertions(+), 9 deletions(-) diff --git a/docs/faq.md b/docs/faq.md index 151b2c054..cc43e326d 100644 --- a/docs/faq.md +++ b/docs/faq.md @@ -1,5 +1,9 @@ # Freqtrade FAQ +## Beginner Tips & Tricks + +#1 When you work with your strategy & hyperopt file you should use a real programmer software like Pycharm. If you by accident moved some code and freqtrade says error and you cant find the place where you moved something, or you cant find line 180 where you messed something up. Then a program like Pycharm shows you where line 180 is in your strategy file so you can fix the problem, or Pycharm shows you with some color marking that "here is a line of code that does not belong here" and you found your error in no time! This will save you many hours of problemsolving when working with the bot. Pycharm also got a usefull "Debug" feature that can tell you exactly what command on that line is making the error :) + ## Freqtrade common issues ### The bot does not start @@ -15,10 +19,12 @@ This could have the following reasons: ### I have waited 5 minutes, why hasn't the bot made any trades yet?! -Depending on the buy strategy, the amount of whitelisted coins, the +#1 Depending on the buy strategy, the amount of whitelisted coins, the situation of the market etc, it can take up to hours to find good entry position for a trade. Be patient! +#2 Or it may because you made an human error? Like writing --dry-run when you wanted to trade live?. Maybe an error with the exchange API? Or something else. You will have to do the hard work of finding out the root cause of the problem :) + ### I have made 12 trades already, why is my total profit negative?! I understand your disappointment but unfortunately 12 trades is just @@ -129,25 +135,25 @@ to find a great result (unless if you are very lucky), so you probably have to run it for 10.000 or more. But it will take an eternity to compute. -We recommend you to run it at least 10.000 epochs: +We recommend you to run between 500-1000 epochs over and over untill you hit at least 10.000 epocs in total. You can best judge by looking at the results - if the bot keep discovering more profitable strategies or not. ```bash -freqtrade hyperopt -e 10000 +freqtrade hyperopt -e 1000 ``` or if you want intermediate result to see ```bash -for i in {1..100}; do freqtrade hyperopt -e 100; done +for i in {1..100}; do freqtrade hyperopt -e 1000; done ``` -### Why it is so long to run hyperopt? +### Why does it take so long time to run hyperopt? -Finding a great Hyperopt results takes time. +#1 Discovering a great strategy with Hyperopt takes time. Study www.freqtrade.io, the Freqtrade Github page, join the Freqtrade Discord - or something totally else. While you patiently wait for the most advanced, public known, crypto bot, in the world, to hand you a possible golden strategy specially designed just for you =) -If you wonder why it takes a while to find great hyperopt results +#2 If you wonder why it can take from 20 minutes to days to do 1000 epocs here are some answers: -This answer was written during the under the release 0.15.1, when we had: +This answer was written during the release 0.15.1, when we had: - 8 triggers - 9 guards: let's say we evaluate even 10 values from each @@ -157,7 +163,10 @@ The following calculation is still very rough and not very precise but it will give the idea. With only these triggers and guards there is already 8\*10^9\*10 evaluations. A roughly total of 80 billion evals. Did you run 100 000 evals? Congrats, you've done roughly 1 / 100 000 th -of the search space. +of the search space. If we assume that the bot never test the same strategy more than once. + +#3 The time it takes to run 1000 hyperopt epocs depends on things like: The cpu, harddisk, ram, motherboard, indicator settings, indicator count, amount of coins that hyperopt test strategies on, trade count - can be 650 trades in a year or 10.0000 trades depending on if the strategy aims for a high profit rarely or a low profit many many many times. Example: 4% profit 650 times vs 0,3% profit a trade 10.000 times in a year. If we assume you set the --timerange to 365 days. +Example: freqtrade --config config_mcd_1.json --strategy mcd_1 --hyperopt mcd_hyperopt_1 -e 1000 --timerange 20190601-20200601 ## Edge module From 455b26ea48975178664d8da76c8b6d9fbbdf60b4 Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 8 Jun 2020 06:37:30 +0200 Subject: [PATCH 034/244] Add max drawdown to backtesting --- freqtrade/optimize/optimize_reports.py | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index d89860a73..5be1a47a9 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -6,6 +6,7 @@ from typing import Any, Dict, List from pandas import DataFrame from tabulate import tabulate +from freqtrade.data.btanalysis import calculate_max_drawdown from freqtrade.misc import file_dump_json logger = logging.getLogger(__name__) @@ -212,11 +213,20 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], max_open_trades=max_open_trades, results=results.loc[results['open_at_end']], skip_nan=True) + + max_drawdown, drawdown_start, drawdown_end = calculate_max_drawdown( + results, value_col='profit_percent') + strat_stats = { 'trades': backtest_result_to_list(results), 'results_per_pair': pair_results, 'sell_reason_summary': sell_reason_stats, 'left_open_trades': left_open_results, + 'max_drawdown': max_drawdown, + 'drawdown_start': drawdown_start, + 'drawdown_start_ts': drawdown_start.timestamp(), + 'drawdown_end': drawdown_end, + 'drawdown_end_ts': drawdown_end.timestamp(), } result['strategy'][strategy] = strat_stats @@ -298,6 +308,16 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str: floatfmt=floatfmt, tablefmt="orgtbl", stralign="right") +def text_table_add_metrics(strategy_results: Dict) -> str: + xxx = [ + ('Max Drawdown', f"{round(strategy_results['max_drawdown'] * 100, 2)}%"), + ('Drawdown Start', strategy_results['drawdown_start'].strftime('%Y-%m-%d %H:%M:%S')), + ('Drawdown End', strategy_results['drawdown_end'].strftime('%Y-%m-%d %H:%M:%S')), + ] + + return tabulate(xxx, headers=["Metric", "Value"], tablefmt="orgtbl") + + def show_backtest_results(config: Dict, backtest_stats: Dict): stake_currency = config['stake_currency'] @@ -320,6 +340,12 @@ def show_backtest_results(config: Dict, backtest_stats: Dict): if isinstance(table, str): print(' LEFT OPEN TRADES REPORT '.center(len(table.splitlines()[0]), '=')) print(table) + + table = text_table_add_metrics(results) + if isinstance(table, str): + print(' SUMMARY METRICS '.center(len(table.splitlines()[0]), '=')) + print(table) + if isinstance(table, str): print('=' * len(table.splitlines()[0])) print() From 6922fbc3aae545e4ef3020610e819199770171f7 Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 8 Jun 2020 06:38:29 +0200 Subject: [PATCH 035/244] Add max_drawdown error handler --- freqtrade/optimize/optimize_reports.py | 44 +++++++++++++++++--------- 1 file changed, 29 insertions(+), 15 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 5be1a47a9..0188761d4 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -1,5 +1,5 @@ import logging -from datetime import timedelta +from datetime import timedelta, datetime from pathlib import Path from typing import Any, Dict, List @@ -214,22 +214,33 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], results=results.loc[results['open_at_end']], skip_nan=True) - max_drawdown, drawdown_start, drawdown_end = calculate_max_drawdown( - results, value_col='profit_percent') - strat_stats = { 'trades': backtest_result_to_list(results), 'results_per_pair': pair_results, 'sell_reason_summary': sell_reason_stats, 'left_open_trades': left_open_results, - 'max_drawdown': max_drawdown, - 'drawdown_start': drawdown_start, - 'drawdown_start_ts': drawdown_start.timestamp(), - 'drawdown_end': drawdown_end, - 'drawdown_end_ts': drawdown_end.timestamp(), } result['strategy'][strategy] = strat_stats + try: + max_drawdown, drawdown_start, drawdown_end = calculate_max_drawdown( + results, value_col='profit_percent') + strat_stats.update({ + 'max_drawdown': max_drawdown, + 'drawdown_start': drawdown_start, + 'drawdown_start_ts': drawdown_start.timestamp(), + 'drawdown_end': drawdown_end, + 'drawdown_end_ts': drawdown_end.timestamp(), + }) + except ValueError: + strat_stats.update({ + 'max_drawdown': 0.0, + 'drawdown_start': datetime.min, + 'drawdown_start_ts': datetime.min.timestamp(), + 'drawdown_end': datetime.min, + 'drawdown_end_ts': datetime.min.timestamp(), + }) + strategy_results = generate_strategy_metrics(stake_currency=stake_currency, max_open_trades=max_open_trades, all_results=all_results) @@ -309,13 +320,16 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str: def text_table_add_metrics(strategy_results: Dict) -> str: - xxx = [ - ('Max Drawdown', f"{round(strategy_results['max_drawdown'] * 100, 2)}%"), - ('Drawdown Start', strategy_results['drawdown_start'].strftime('%Y-%m-%d %H:%M:%S')), - ('Drawdown End', strategy_results['drawdown_end'].strftime('%Y-%m-%d %H:%M:%S')), - ] + if len(strategy_results['trades']) > 0: + metrics = [ + ('Max Drawdown', f"{round(strategy_results['max_drawdown'] * 100, 2)}%"), + ('Drawdown Start', strategy_results['drawdown_start'].strftime('%Y-%m-%d %H:%M:%S')), + ('Drawdown End', strategy_results['drawdown_end'].strftime('%Y-%m-%d %H:%M:%S')), + ] - return tabulate(xxx, headers=["Metric", "Value"], tablefmt="orgtbl") + return tabulate(metrics, headers=["Metric", "Value"], tablefmt="orgtbl") + else: + return def show_backtest_results(config: Dict, backtest_stats: Dict): From cbcf3dbb43222e4863d7dacc27a726a8b261a43f Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 9 Jun 2020 08:00:35 +0200 Subject: [PATCH 036/244] Add more metrics to summarytable --- freqtrade/optimize/backtesting.py | 3 ++- freqtrade/optimize/optimize_reports.py | 26 ++++++++++++++++++++++++-- 2 files changed, 26 insertions(+), 3 deletions(-) diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index e5014dd5a..c7a3515b5 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -417,5 +417,6 @@ class Backtesting: if self.config.get('export', False): store_backtest_result(self.config['exportfilename'], all_results) # Show backtest results - stats = generate_backtest_stats(self.config, data, all_results) + stats = generate_backtest_stats(self.config, data, all_results, + min_date=min_date, max_date=max_date) show_backtest_results(self.config, stats) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 0188761d4..dc3b52377 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -1,8 +1,9 @@ import logging -from datetime import timedelta, datetime +from datetime import datetime, timedelta, timezone from pathlib import Path from typing import Any, Dict, List +from arrow import Arrow from pandas import DataFrame from tabulate import tabulate @@ -191,11 +192,15 @@ def generate_edge_table(results: dict) -> str: def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], - all_results: Dict[str, DataFrame]) -> Dict[str, Any]: + all_results: Dict[str, DataFrame], + min_date: Arrow, max_date: Arrow + ) -> Dict[str, Any]: """ :param config: Configuration object used for backtest :param btdata: Backtest data :param all_results: backtest result - dictionary with { Strategy: results}. + :param min_date: Backtest start date + :param max_date: Backtest end date :return: Dictionary containing results per strategy and a stratgy summary. """ @@ -214,11 +219,19 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], results=results.loc[results['open_at_end']], skip_nan=True) + backtest_days = (max_date - min_date).days strat_stats = { 'trades': backtest_result_to_list(results), 'results_per_pair': pair_results, 'sell_reason_summary': sell_reason_stats, 'left_open_trades': left_open_results, + 'total_trades': len(results), + 'backtest_start': min_date.datetime, + 'backtest_start_ts': min_date.timestamp, + 'backtest_end': max_date.datetime, + 'backtest_end_ts': max_date.timestamp, + 'backtest_days': backtest_days, + 'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else None } result['strategy'][strategy] = strat_stats @@ -321,7 +334,16 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str: def text_table_add_metrics(strategy_results: Dict) -> str: if len(strategy_results['trades']) > 0: + min_trade = min(strategy_results['trades'], key=lambda x: x[2]) metrics = [ + ('Total trades', strategy_results['total_trades']), + ('First trade', datetime.fromtimestamp(min_trade[2], + tz=timezone.utc).strftime('%Y-%m-%d %H:%M:%S')), + ('First trade Pair', min_trade[0]), + ('Backtesting from', strategy_results['backtest_start'].strftime('%Y-%m-%d %H:%M:%S')), + ('Backtesting to', strategy_results['backtest_end'].strftime('%Y-%m-%d %H:%M:%S')), + ('Trades per day', strategy_results['trades_per_day']), + ('', ''), # Empty line to improve readability ('Max Drawdown', f"{round(strategy_results['max_drawdown'] * 100, 2)}%"), ('Drawdown Start', strategy_results['drawdown_start'].strftime('%Y-%m-%d %H:%M:%S')), ('Drawdown End', strategy_results['drawdown_end'].strftime('%Y-%m-%d %H:%M:%S')), From fbddfaeacf3d861da6c4b2023215fd31820bd992 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 9 Jun 2020 08:07:34 +0200 Subject: [PATCH 037/244] Introduce DatetimePrintFormat --- freqtrade/constants.py | 1 + freqtrade/edge/edge_positioning.py | 11 ++++------- freqtrade/optimize/backtesting.py | 16 ++++++++-------- freqtrade/optimize/hyperopt.py | 9 +++++---- freqtrade/optimize/optimize_reports.py | 11 ++++++----- freqtrade/rpc/api_server.py | 3 ++- 6 files changed, 26 insertions(+), 25 deletions(-) diff --git a/freqtrade/constants.py b/freqtrade/constants.py index 2cfff07cd..ccb05a60f 100644 --- a/freqtrade/constants.py +++ b/freqtrade/constants.py @@ -26,6 +26,7 @@ AVAILABLE_PAIRLISTS = ['StaticPairList', 'VolumePairList', 'ShuffleFilter', 'SpreadFilter'] AVAILABLE_DATAHANDLERS = ['json', 'jsongz'] DRY_RUN_WALLET = 1000 +DATETIME_PRINT_FORMAT = '%Y-%m-%d %H:%M:%S' MATH_CLOSE_PREC = 1e-14 # Precision used for float comparisons DEFAULT_DATAFRAME_COLUMNS = ['date', 'open', 'high', 'low', 'close', 'volume'] # Don't modify sequence of DEFAULT_TRADES_COLUMNS diff --git a/freqtrade/edge/edge_positioning.py b/freqtrade/edge/edge_positioning.py index 41252ee51..dd2f44f23 100644 --- a/freqtrade/edge/edge_positioning.py +++ b/freqtrade/edge/edge_positioning.py @@ -9,7 +9,7 @@ import utils_find_1st as utf1st from pandas import DataFrame from freqtrade.configuration import TimeRange -from freqtrade.constants import UNLIMITED_STAKE_AMOUNT +from freqtrade.constants import UNLIMITED_STAKE_AMOUNT, DATETIME_PRINT_FORMAT from freqtrade.exceptions import OperationalException from freqtrade.data.history import get_timerange, load_data, refresh_data from freqtrade.strategy.interface import SellType @@ -121,12 +121,9 @@ class Edge: # Print timeframe min_date, max_date = get_timerange(preprocessed) - logger.info( - 'Measuring data from %s up to %s (%s days) ...', - min_date.isoformat(), - max_date.isoformat(), - (max_date - min_date).days - ) + logger.info(f'Measuring data from {min_date.strftime(DATETIME_PRINT_FORMAT)} ' + f'up to {max_date.strftime(DATETIME_PRINT_FORMAT)} ' + f'({(max_date - min_date).days} days)..') headers = ['date', 'buy', 'open', 'close', 'sell', 'high', 'low'] trades: list = [] diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index c7a3515b5..847434789 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -11,6 +11,7 @@ from typing import Any, Dict, List, NamedTuple, Optional, Tuple import arrow from pandas import DataFrame +from freqtrade.constants import DATETIME_PRINT_FORMAT from freqtrade.configuration import (TimeRange, remove_credentials, validate_config_consistency) from freqtrade.data import history @@ -137,10 +138,10 @@ class Backtesting: min_date, max_date = history.get_timerange(data) - logger.info( - 'Loading data from %s up to %s (%s days)..', - min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days - ) + logger.info(f'Loading data from {min_date.strftime(DATETIME_PRINT_FORMAT)} ' + f'up to {max_date.strftime(DATETIME_PRINT_FORMAT)} ' + f'({(max_date - min_date).days} days)..') + # Adjust startts forward if not enough data is available timerange.adjust_start_if_necessary(timeframe_to_seconds(self.timeframe), self.required_startup, min_date) @@ -400,10 +401,9 @@ class Backtesting: preprocessed[pair] = trim_dataframe(df, timerange) min_date, max_date = history.get_timerange(preprocessed) - logger.info( - 'Backtesting with data from %s up to %s (%s days)..', - min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days - ) + logger.info(f'Backtesting with data from {min_date.strftime(DATETIME_PRINT_FORMAT)} ' + f'up to {max_date.strftime(DATETIME_PRINT_FORMAT)} ' + f'({(max_date - min_date).days} days)..') # Execute backtest and print results all_results[self.strategy.get_strategy_name()] = self.backtest( processed=preprocessed, diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py index 153ae3861..69dff463b 100644 --- a/freqtrade/optimize/hyperopt.py +++ b/freqtrade/optimize/hyperopt.py @@ -25,6 +25,7 @@ import tabulate from os import path import io +from freqtrade.constants import DATETIME_PRINT_FORMAT from freqtrade.data.converter import trim_dataframe from freqtrade.data.history import get_timerange from freqtrade.exceptions import OperationalException @@ -625,10 +626,10 @@ class Hyperopt: preprocessed[pair] = trim_dataframe(df, timerange) min_date, max_date = get_timerange(data) - logger.info( - 'Hyperopting with data from %s up to %s (%s days)..', - min_date.isoformat(), max_date.isoformat(), (max_date - min_date).days - ) + logger.info(f'Hyperopting with data from {min_date.strftime(DATETIME_PRINT_FORMAT)} ' + f'up to {max_date.strftime(DATETIME_PRINT_FORMAT)} ' + f'({(max_date - min_date).days} days)..') + dump(preprocessed, self.data_pickle_file) # We don't need exchange instance anymore while running hyperopt diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index dc3b52377..6efda2956 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -7,6 +7,7 @@ from arrow import Arrow from pandas import DataFrame from tabulate import tabulate +from freqtrade.constants import DATETIME_PRINT_FORMAT from freqtrade.data.btanalysis import calculate_max_drawdown from freqtrade.misc import file_dump_json @@ -338,15 +339,15 @@ def text_table_add_metrics(strategy_results: Dict) -> str: metrics = [ ('Total trades', strategy_results['total_trades']), ('First trade', datetime.fromtimestamp(min_trade[2], - tz=timezone.utc).strftime('%Y-%m-%d %H:%M:%S')), + tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)), ('First trade Pair', min_trade[0]), - ('Backtesting from', strategy_results['backtest_start'].strftime('%Y-%m-%d %H:%M:%S')), - ('Backtesting to', strategy_results['backtest_end'].strftime('%Y-%m-%d %H:%M:%S')), + ('Backtesting from', strategy_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)), + ('Backtesting to', strategy_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)), ('Trades per day', strategy_results['trades_per_day']), ('', ''), # Empty line to improve readability ('Max Drawdown', f"{round(strategy_results['max_drawdown'] * 100, 2)}%"), - ('Drawdown Start', strategy_results['drawdown_start'].strftime('%Y-%m-%d %H:%M:%S')), - ('Drawdown End', strategy_results['drawdown_end'].strftime('%Y-%m-%d %H:%M:%S')), + ('Drawdown Start', strategy_results['drawdown_start'].strftime(DATETIME_PRINT_FORMAT)), + ('Drawdown End', strategy_results['drawdown_end'].strftime(DATETIME_PRINT_FORMAT)), ] return tabulate(metrics, headers=["Metric", "Value"], tablefmt="orgtbl") diff --git a/freqtrade/rpc/api_server.py b/freqtrade/rpc/api_server.py index a2cef9a98..e86a4783f 100644 --- a/freqtrade/rpc/api_server.py +++ b/freqtrade/rpc/api_server.py @@ -16,6 +16,7 @@ from werkzeug.security import safe_str_cmp from werkzeug.serving import make_server from freqtrade.__init__ import __version__ +from freqtrade.constants import DATETIME_PRINT_FORMAT from freqtrade.rpc.rpc import RPC, RPCException logger = logging.getLogger(__name__) @@ -31,7 +32,7 @@ class ArrowJSONEncoder(JSONEncoder): elif isinstance(obj, date): return obj.strftime("%Y-%m-%d") elif isinstance(obj, datetime): - return obj.strftime("%Y-%m-%d %H:%M:%S") + return obj.strftime(DATETIME_PRINT_FORMAT) iterable = iter(obj) except TypeError: pass From cf044d166edc68ba427d8c3b86f13ebb252a490b Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 9 Jun 2020 08:14:18 +0200 Subject: [PATCH 038/244] Tests should use new Datetime format too --- freqtrade/optimize/optimize_reports.py | 4 ++-- tests/optimize/test_backtesting.py | 28 +++++++++++++------------- 2 files changed, 16 insertions(+), 16 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 6efda2956..1e2d41e32 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -250,9 +250,9 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], strat_stats.update({ 'max_drawdown': 0.0, 'drawdown_start': datetime.min, - 'drawdown_start_ts': datetime.min.timestamp(), + 'drawdown_start_ts': datetime(1970, 1, 1).timestamp(), 'drawdown_end': datetime.min, - 'drawdown_end_ts': datetime.min.timestamp(), + 'drawdown_end_ts': datetime(1970, 1, 1).timestamp(), }) strategy_results = generate_strategy_metrics(stake_currency=stake_currency, diff --git a/tests/optimize/test_backtesting.py b/tests/optimize/test_backtesting.py index 67da38648..853780b82 100644 --- a/tests/optimize/test_backtesting.py +++ b/tests/optimize/test_backtesting.py @@ -349,8 +349,8 @@ def test_backtesting_start(default_conf, mocker, testdatadir, caplog) -> None: exists = [ 'Using stake_currency: BTC ...', 'Using stake_amount: 0.001 ...', - 'Backtesting with data from 2017-11-14T21:17:00+00:00 ' - 'up to 2017-11-14T22:59:00+00:00 (0 days)..' + 'Backtesting with data from 2017-11-14 21:17:00 ' + 'up to 2017-11-14 22:59:00 (0 days)..' ] for line in exists: assert log_has(line, caplog) @@ -672,10 +672,10 @@ def test_backtest_start_timerange(default_conf, mocker, caplog, testdatadir): f'Using data directory: {testdatadir} ...', 'Using stake_currency: BTC ...', 'Using stake_amount: 0.001 ...', - 'Loading data from 2017-11-14T20:57:00+00:00 ' - 'up to 2017-11-14T22:58:00+00:00 (0 days)..', - 'Backtesting with data from 2017-11-14T21:17:00+00:00 ' - 'up to 2017-11-14T22:58:00+00:00 (0 days)..', + 'Loading data from 2017-11-14 20:57:00 ' + 'up to 2017-11-14 22:58:00 (0 days)..', + 'Backtesting with data from 2017-11-14 21:17:00 ' + 'up to 2017-11-14 22:58:00 (0 days)..', 'Parameter --enable-position-stacking detected ...' ] @@ -735,10 +735,10 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir): f'Using data directory: {testdatadir} ...', 'Using stake_currency: BTC ...', 'Using stake_amount: 0.001 ...', - 'Loading data from 2017-11-14T20:57:00+00:00 ' - 'up to 2017-11-14T22:58:00+00:00 (0 days)..', - 'Backtesting with data from 2017-11-14T21:17:00+00:00 ' - 'up to 2017-11-14T22:58:00+00:00 (0 days)..', + 'Loading data from 2017-11-14 20:57:00 ' + 'up to 2017-11-14 22:58:00 (0 days)..', + 'Backtesting with data from 2017-11-14 21:17:00 ' + 'up to 2017-11-14 22:58:00 (0 days)..', 'Parameter --enable-position-stacking detected ...', 'Running backtesting for Strategy DefaultStrategy', 'Running backtesting for Strategy TestStrategyLegacy', @@ -818,10 +818,10 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat f'Using data directory: {testdatadir} ...', 'Using stake_currency: BTC ...', 'Using stake_amount: 0.001 ...', - 'Loading data from 2017-11-14T20:57:00+00:00 ' - 'up to 2017-11-14T22:58:00+00:00 (0 days)..', - 'Backtesting with data from 2017-11-14T21:17:00+00:00 ' - 'up to 2017-11-14T22:58:00+00:00 (0 days)..', + 'Loading data from 2017-11-14 20:57:00 ' + 'up to 2017-11-14 22:58:00 (0 days)..', + 'Backtesting with data from 2017-11-14 21:17:00 ' + 'up to 2017-11-14 22:58:00 (0 days)..', 'Parameter --enable-position-stacking detected ...', 'Running backtesting for Strategy DefaultStrategy', 'Running backtesting for Strategy TestStrategyLegacy', From 5fce7f3b22e50b23944737f60758178a428c133b Mon Sep 17 00:00:00 2001 From: Matthias Date: Thu, 25 Jun 2020 20:39:55 +0200 Subject: [PATCH 039/244] Add market Change closes #2524 and #3518 --- freqtrade/data/btanalysis.py | 20 ++++++++++++++++++++ freqtrade/optimize/optimize_reports.py | 12 ++++++++---- tests/data/test_btanalysis.py | 9 +++++++++ 3 files changed, 37 insertions(+), 4 deletions(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index b169850ba..8601f8176 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -168,6 +168,26 @@ def extract_trades_of_period(dataframe: pd.DataFrame, trades: pd.DataFrame, return trades +def calculate_market_change(data: Dict[str, pd.DataFrame], column: str = "close") -> float: + """ + Calculate market change based on "column". + Calculation is done by taking the first non-null and the last non-null element of each column + and calculating the pctchange as "(last - first) / first". + Then the results per pair are combined as mean. + + :param data: Dict of Dataframes, dict key should be pair. + :param column: Column in the original dataframes to use + :return: + """ + tmp_means = [] + for pair, df in data.items(): + start = df[column].dropna().iloc[0] + end = df[column].dropna().iloc[-1] + tmp_means.append((end - start) / start) + + return np.mean(tmp_means) + + def combine_dataframes_with_mean(data: Dict[str, pd.DataFrame], column: str = "close") -> pd.DataFrame: """ diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 1e2d41e32..4ec3dc3ad 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -8,7 +8,7 @@ from pandas import DataFrame from tabulate import tabulate from freqtrade.constants import DATETIME_PRINT_FORMAT -from freqtrade.data.btanalysis import calculate_max_drawdown +from freqtrade.data.btanalysis import calculate_max_drawdown, calculate_market_change from freqtrade.misc import file_dump_json logger = logging.getLogger(__name__) @@ -208,6 +208,8 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], stake_currency = config['stake_currency'] max_open_trades = config['max_open_trades'] result: Dict[str, Any] = {'strategy': {}} + market_change = calculate_market_change(btdata, 'close') + for strategy, results in all_results.items(): pair_results = generate_pair_metrics(btdata, stake_currency=stake_currency, @@ -232,8 +234,9 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], 'backtest_end': max_date.datetime, 'backtest_end_ts': max_date.timestamp, 'backtest_days': backtest_days, - 'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else None - } + 'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else None, + 'market_change': market_change, + } result['strategy'][strategy] = strat_stats try: @@ -348,11 +351,12 @@ def text_table_add_metrics(strategy_results: Dict) -> str: ('Max Drawdown', f"{round(strategy_results['max_drawdown'] * 100, 2)}%"), ('Drawdown Start', strategy_results['drawdown_start'].strftime(DATETIME_PRINT_FORMAT)), ('Drawdown End', strategy_results['drawdown_end'].strftime(DATETIME_PRINT_FORMAT)), + ('Market change', f"{round(strategy_results['market_change'] * 100, 2)}%"), ] return tabulate(metrics, headers=["Metric", "Value"], tablefmt="orgtbl") else: - return + return '' def show_backtest_results(config: Dict, backtest_stats: Dict): diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index b65db7fd8..d571569b9 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -8,6 +8,7 @@ from pandas import DataFrame, DateOffset, Timestamp, to_datetime from freqtrade.configuration import TimeRange from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, analyze_trade_parallelism, + calculate_market_change, calculate_max_drawdown, combine_dataframes_with_mean, create_cum_profit, @@ -135,6 +136,14 @@ def test_load_trades(default_conf, mocker): assert bt_mock.call_count == 0 +def test_calculate_market_change(testdatadir): + pairs = ["ETH/BTC", "ADA/BTC"] + data = load_data(datadir=testdatadir, pairs=pairs, timeframe='5m') + result = calculate_market_change(data) + assert isinstance(result, float) + assert pytest.approx(result) == 0.00955514 + + def test_combine_dataframes_with_mean(testdatadir): pairs = ["ETH/BTC", "ADA/BTC"] data = load_data(datadir=testdatadir, pairs=pairs, timeframe='5m') From 480c5117f1d41315eb9742bd64b028363b68be13 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 06:47:04 +0200 Subject: [PATCH 040/244] Handle empty return strings --- freqtrade/optimize/optimize_reports.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 4ec3dc3ad..9feb7f20d 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -373,21 +373,21 @@ def show_backtest_results(config: Dict, backtest_stats: Dict): table = text_table_sell_reason(sell_reason_stats=results['sell_reason_summary'], stake_currency=stake_currency) - if isinstance(table, str): + if isinstance(table, str) and len(table) > 0: print(' SELL REASON STATS '.center(len(table.splitlines()[0]), '=')) print(table) table = text_table_bt_results(results['left_open_trades'], stake_currency=stake_currency) - if isinstance(table, str): + if isinstance(table, str) and len(table) > 0: print(' LEFT OPEN TRADES REPORT '.center(len(table.splitlines()[0]), '=')) print(table) table = text_table_add_metrics(results) - if isinstance(table, str): + if isinstance(table, str) and len(table) > 0: print(' SUMMARY METRICS '.center(len(table.splitlines()[0]), '=')) print(table) - if isinstance(table, str): + if isinstance(table, str) and len(table) > 0: print('=' * len(table.splitlines()[0])) print() From 81c8e8677dfa98f18661259389972bd844c111ef Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 06:56:59 +0200 Subject: [PATCH 041/244] use 0 as profit mean, not nan --- freqtrade/optimize/optimize_reports.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 9feb7f20d..b334917ba 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -69,8 +69,8 @@ def _generate_result_line(result: DataFrame, max_open_trades: int, first_column: return { 'key': first_column, 'trades': len(result), - 'profit_mean': result['profit_percent'].mean(), - 'profit_mean_pct': result['profit_percent'].mean() * 100.0, + 'profit_mean': result['profit_percent'].mean() if len(result) > 0 else 0.0, + 'profit_mean_pct': result['profit_percent'].mean() * 100.0 if len(result) > 0 else 0.0, 'profit_sum': result['profit_percent'].sum(), 'profit_sum_pct': result['profit_percent'].sum() * 100.0, 'profit_total_abs': result['profit_abs'].sum(), From 415853583bf39b3a62a84e24f60bc74b5addae3a Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 07:46:59 +0200 Subject: [PATCH 042/244] Save backtest-stats --- freqtrade/data/btanalysis.py | 19 ++++++++++++++++++- freqtrade/optimize/backtesting.py | 6 ++++-- freqtrade/optimize/optimize_reports.py | 21 ++++++++++++++++----- 3 files changed, 38 insertions(+), 8 deletions(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 8601f8176..ecedc55db 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -3,7 +3,7 @@ Helpers when analyzing backtest data """ import logging from pathlib import Path -from typing import Dict, Union, Tuple +from typing import Dict, Union, Tuple, Any import numpy as np import pandas as pd @@ -20,6 +20,23 @@ BT_DATA_COLUMNS = ["pair", "profit_percent", "open_time", "close_time", "index", "open_rate", "close_rate", "open_at_end", "sell_reason"] +def load_backtest_stats(filename: Union[Path, str]) -> Dict[str, Any]: + """ + Load backtest statistics file. + :param filename: pathlib.Path object, or string pointing to the file. + :return: a dictionary containing the resulting file. + """ + if isinstance(filename, str): + filename = Path(filename) + if not filename.is_file(): + raise ValueError(f"File {filename} does not exist.") + + with filename.open() as file: + data = json_load(file) + + return data + + def load_backtest_data(filename: Union[Path, str]) -> pd.DataFrame: """ Load backtest data file. diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index 847434789..e4df80a82 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -11,9 +11,9 @@ from typing import Any, Dict, List, NamedTuple, Optional, Tuple import arrow from pandas import DataFrame -from freqtrade.constants import DATETIME_PRINT_FORMAT from freqtrade.configuration import (TimeRange, remove_credentials, validate_config_consistency) +from freqtrade.constants import DATETIME_PRINT_FORMAT from freqtrade.data import history from freqtrade.data.converter import trim_dataframe from freqtrade.data.dataprovider import DataProvider @@ -21,7 +21,8 @@ from freqtrade.exceptions import OperationalException from freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds from freqtrade.optimize.optimize_reports import (generate_backtest_stats, show_backtest_results, - store_backtest_result) + store_backtest_result, + store_backtest_stats) from freqtrade.pairlist.pairlistmanager import PairListManager from freqtrade.persistence import Trade from freqtrade.resolvers import ExchangeResolver, StrategyResolver @@ -420,3 +421,4 @@ class Backtesting: stats = generate_backtest_stats(self.config, data, all_results, min_date=min_date, max_date=max_date) show_backtest_results(self.config, stats) + store_backtest_stats(self.config['exportfilename'], stats) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index b334917ba..3c0bfcb96 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -14,6 +14,18 @@ from freqtrade.misc import file_dump_json logger = logging.getLogger(__name__) +def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> None: + + filename = Path.joinpath(recordfilename.parent, + f'{recordfilename.stem}-{datetime.now().isoformat()}' + ).with_suffix(recordfilename.suffix) + file_dump_json(filename, stats) + + latest_filename = Path.joinpath(recordfilename.parent, + '.last_result.json') + file_dump_json(latest_filename, {'latest_backtest': str(filename.name)}) + + def store_backtest_result(recordfilename: Path, all_results: Dict[str, DataFrame]) -> None: """ Stores backtest results to file (one file per strategy) @@ -224,7 +236,7 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], backtest_days = (max_date - min_date).days strat_stats = { - 'trades': backtest_result_to_list(results), + 'trades': results.to_dict(orient='records'), 'results_per_pair': pair_results, 'sell_reason_summary': sell_reason_stats, 'left_open_trades': left_open_results, @@ -338,12 +350,11 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str: def text_table_add_metrics(strategy_results: Dict) -> str: if len(strategy_results['trades']) > 0: - min_trade = min(strategy_results['trades'], key=lambda x: x[2]) + min_trade = min(strategy_results['trades'], key=lambda x: x['open_time']) metrics = [ ('Total trades', strategy_results['total_trades']), - ('First trade', datetime.fromtimestamp(min_trade[2], - tz=timezone.utc).strftime(DATETIME_PRINT_FORMAT)), - ('First trade Pair', min_trade[0]), + ('First trade', min_trade['open_time'].strftime(DATETIME_PRINT_FORMAT)), + ('First trade Pair', min_trade['pair']), ('Backtesting from', strategy_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)), ('Backtesting to', strategy_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)), ('Trades per day', strategy_results['trades_per_day']), From b068e7c564021ba178c969602461e9d3f57d1790 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 09:19:44 +0200 Subject: [PATCH 043/244] Rename open_time and close_time to *date --- freqtrade/data/btanalysis.py | 28 +++++++++---------- freqtrade/edge/edge_positioning.py | 6 ++-- freqtrade/optimize/backtesting.py | 19 +++++++------ .../optimize/hyperopt_loss_sharpe_daily.py | 2 +- .../optimize/hyperopt_loss_sortino_daily.py | 2 +- freqtrade/optimize/optimize_reports.py | 8 +++--- freqtrade/plot/plotting.py | 10 +++---- 7 files changed, 38 insertions(+), 37 deletions(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index ecedc55db..f174b8ea9 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -16,7 +16,7 @@ from freqtrade.persistence import Trade logger = logging.getLogger(__name__) # must align with columns in backtest.py -BT_DATA_COLUMNS = ["pair", "profit_percent", "open_time", "close_time", "index", "duration", +BT_DATA_COLUMNS = ["pair", "profit_percent", "open_date", "close_date", "index", "duration", "open_rate", "close_rate", "open_at_end", "sell_reason"] @@ -54,18 +54,18 @@ def load_backtest_data(filename: Union[Path, str]) -> pd.DataFrame: df = pd.DataFrame(data, columns=BT_DATA_COLUMNS) - df['open_time'] = pd.to_datetime(df['open_time'], + df['open_date'] = pd.to_datetime(df['open_date'], unit='s', utc=True, infer_datetime_format=True ) - df['close_time'] = pd.to_datetime(df['close_time'], + df['close_date'] = pd.to_datetime(df['close_date'], unit='s', utc=True, infer_datetime_format=True ) df['profit'] = df['close_rate'] - df['open_rate'] - df = df.sort_values("open_time").reset_index(drop=True) + df = df.sort_values("open_date").reset_index(drop=True) return df @@ -79,9 +79,9 @@ def analyze_trade_parallelism(results: pd.DataFrame, timeframe: str) -> pd.DataF """ from freqtrade.exchange import timeframe_to_minutes timeframe_min = timeframe_to_minutes(timeframe) - dates = [pd.Series(pd.date_range(row[1].open_time, row[1].close_time, + dates = [pd.Series(pd.date_range(row[1]['open_date'], row[1]['close_date'], freq=f"{timeframe_min}min")) - for row in results[['open_time', 'close_time']].iterrows()] + for row in results[['open_date', 'close_date']].iterrows()] deltas = [len(x) for x in dates] dates = pd.Series(pd.concat(dates).values, name='date') df2 = pd.DataFrame(np.repeat(results.values, deltas, axis=0), columns=results.columns) @@ -116,7 +116,7 @@ def load_trades_from_db(db_url: str) -> pd.DataFrame: trades: pd.DataFrame = pd.DataFrame([], columns=BT_DATA_COLUMNS) persistence.init(db_url, clean_open_orders=False) - columns = ["pair", "open_time", "close_time", "profit", "profit_percent", + columns = ["pair", "open_date", "close_date", "profit", "profit_percent", "open_rate", "close_rate", "amount", "duration", "sell_reason", "fee_open", "fee_close", "open_rate_requested", "close_rate_requested", "stake_amount", "max_rate", "min_rate", "id", "exchange", @@ -180,8 +180,8 @@ def extract_trades_of_period(dataframe: pd.DataFrame, trades: pd.DataFrame, else: trades_start = dataframe.iloc[0]['date'] trades_stop = dataframe.iloc[-1]['date'] - trades = trades.loc[(trades['open_time'] >= trades_start) & - (trades['close_time'] <= trades_stop)] + trades = trades.loc[(trades['open_date'] >= trades_start) & + (trades['close_date'] <= trades_stop)] return trades @@ -227,7 +227,7 @@ def create_cum_profit(df: pd.DataFrame, trades: pd.DataFrame, col_name: str, """ Adds a column `col_name` with the cumulative profit for the given trades array. :param df: DataFrame with date index - :param trades: DataFrame containing trades (requires columns close_time and profit_percent) + :param trades: DataFrame containing trades (requires columns close_date and profit_percent) :param col_name: Column name that will be assigned the results :param timeframe: Timeframe used during the operations :return: Returns df with one additional column, col_name, containing the cumulative profit. @@ -238,7 +238,7 @@ def create_cum_profit(df: pd.DataFrame, trades: pd.DataFrame, col_name: str, from freqtrade.exchange import timeframe_to_minutes timeframe_minutes = timeframe_to_minutes(timeframe) # Resample to timeframe to make sure trades match candles - _trades_sum = trades.resample(f'{timeframe_minutes}min', on='close_time' + _trades_sum = trades.resample(f'{timeframe_minutes}min', on='close_date' )[['profit_percent']].sum() df.loc[:, col_name] = _trades_sum.cumsum() # Set first value to 0 @@ -248,13 +248,13 @@ def create_cum_profit(df: pd.DataFrame, trades: pd.DataFrame, col_name: str, return df -def calculate_max_drawdown(trades: pd.DataFrame, *, date_col: str = 'close_time', +def calculate_max_drawdown(trades: pd.DataFrame, *, date_col: str = 'close_date', value_col: str = 'profit_percent' ) -> Tuple[float, pd.Timestamp, pd.Timestamp]: """ Calculate max drawdown and the corresponding close dates - :param trades: DataFrame containing trades (requires columns close_time and profit_percent) - :param date_col: Column in DataFrame to use for dates (defaults to 'close_time') + :param trades: DataFrame containing trades (requires columns close_date and profit_percent) + :param date_col: Column in DataFrame to use for dates (defaults to 'close_date') :param value_col: Column in DataFrame to use for values (defaults to 'profit_percent') :return: Tuple (float, highdate, lowdate) with absolute max drawdown, high and low time :raise: ValueError if trade-dataframe was found empty. diff --git a/freqtrade/edge/edge_positioning.py b/freqtrade/edge/edge_positioning.py index dd2f44f23..169732314 100644 --- a/freqtrade/edge/edge_positioning.py +++ b/freqtrade/edge/edge_positioning.py @@ -237,7 +237,7 @@ class Edge: # All returned values are relative, they are defined as ratios. stake = 0.015 - result['trade_duration'] = result['close_time'] - result['open_time'] + result['trade_duration'] = result['close_date'] - result['open_date'] result['trade_duration'] = result['trade_duration'].map( lambda x: int(x.total_seconds() / 60)) @@ -427,8 +427,8 @@ class Edge: 'stoploss': stoploss, 'profit_ratio': '', 'profit_abs': '', - 'open_time': date_column[open_trade_index], - 'close_time': date_column[exit_index], + 'open_date': date_column[open_trade_index], + 'close_date': date_column[exit_index], 'open_index': start_point + open_trade_index, 'close_index': start_point + exit_index, 'trade_duration': '', diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index e4df80a82..4197ec087 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -39,8 +39,8 @@ class BacktestResult(NamedTuple): pair: str profit_percent: float profit_abs: float - open_time: datetime - close_time: datetime + open_date: datetime + close_date: datetime open_index: int close_index: int trade_duration: float @@ -248,8 +248,8 @@ class Backtesting: return BacktestResult(pair=pair, profit_percent=trade.calc_profit_ratio(rate=closerate), profit_abs=trade.calc_profit(rate=closerate), - open_time=buy_row.date, - close_time=sell_row.date, + open_date=buy_row.date, + close_date=sell_row.date, trade_duration=trade_dur, open_index=buy_row.Index, close_index=sell_row.Index, @@ -264,8 +264,8 @@ class Backtesting: bt_res = BacktestResult(pair=pair, profit_percent=trade.calc_profit_ratio(rate=sell_row.open), profit_abs=trade.calc_profit(rate=sell_row.open), - open_time=buy_row.date, - close_time=sell_row.date, + open_date=buy_row.date, + close_date=sell_row.date, trade_duration=int(( sell_row.date - buy_row.date).total_seconds() // 60), open_index=buy_row.Index, @@ -358,8 +358,8 @@ class Backtesting: if trade_entry: logger.debug(f"{pair} - Locking pair till " - f"close_time={trade_entry.close_time}") - lock_pair_until[pair] = trade_entry.close_time + f"close_date={trade_entry.close_date}") + lock_pair_until[pair] = trade_entry.close_date trades.append(trade_entry) else: # Set lock_pair_until to end of testing period if trade could not be closed @@ -421,4 +421,5 @@ class Backtesting: stats = generate_backtest_stats(self.config, data, all_results, min_date=min_date, max_date=max_date) show_backtest_results(self.config, stats) - store_backtest_stats(self.config['exportfilename'], stats) + if self.config.get('export', False): + store_backtest_stats(self.config['exportfilename'], stats) diff --git a/freqtrade/optimize/hyperopt_loss_sharpe_daily.py b/freqtrade/optimize/hyperopt_loss_sharpe_daily.py index e4cd1d749..bcba73a7f 100644 --- a/freqtrade/optimize/hyperopt_loss_sharpe_daily.py +++ b/freqtrade/optimize/hyperopt_loss_sharpe_daily.py @@ -43,7 +43,7 @@ class SharpeHyperOptLossDaily(IHyperOptLoss): normalize=True) sum_daily = ( - results.resample(resample_freq, on='close_time').agg( + results.resample(resample_freq, on='close_date').agg( {"profit_percent_after_slippage": sum}).reindex(t_index).fillna(0) ) diff --git a/freqtrade/optimize/hyperopt_loss_sortino_daily.py b/freqtrade/optimize/hyperopt_loss_sortino_daily.py index cd6a8bcc2..3b099a253 100644 --- a/freqtrade/optimize/hyperopt_loss_sortino_daily.py +++ b/freqtrade/optimize/hyperopt_loss_sortino_daily.py @@ -45,7 +45,7 @@ class SortinoHyperOptLossDaily(IHyperOptLoss): normalize=True) sum_daily = ( - results.resample(resample_freq, on='close_time').agg( + results.resample(resample_freq, on='close_date').agg( {"profit_percent_after_slippage": sum}).reindex(t_index).fillna(0) ) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 3c0bfcb96..63c2d2022 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -52,8 +52,8 @@ def backtest_result_to_list(results: DataFrame) -> List[List]: :param results: Dataframe containing results for one strategy :return: List of Lists containing the trades """ - return [[t.pair, t.profit_percent, t.open_time.timestamp(), - t.close_time.timestamp(), t.open_index - 1, t.trade_duration, + return [[t.pair, t.profit_percent, t.open_date.timestamp(), + t.open_date.timestamp(), t.open_index - 1, t.trade_duration, t.open_rate, t.close_rate, t.open_at_end, t.sell_reason.value] for index, t in results.iterrows()] @@ -350,10 +350,10 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str: def text_table_add_metrics(strategy_results: Dict) -> str: if len(strategy_results['trades']) > 0: - min_trade = min(strategy_results['trades'], key=lambda x: x['open_time']) + min_trade = min(strategy_results['trades'], key=lambda x: x['open_date']) metrics = [ ('Total trades', strategy_results['total_trades']), - ('First trade', min_trade['open_time'].strftime(DATETIME_PRINT_FORMAT)), + ('First trade', min_trade['open_date'].strftime(DATETIME_PRINT_FORMAT)), ('First trade Pair', min_trade['pair']), ('Backtesting from', strategy_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)), ('Backtesting to', strategy_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)), diff --git a/freqtrade/plot/plotting.py b/freqtrade/plot/plotting.py index e8b0b4938..6d50defaf 100644 --- a/freqtrade/plot/plotting.py +++ b/freqtrade/plot/plotting.py @@ -63,7 +63,7 @@ def init_plotscript(config): exportfilename=config.get('exportfilename'), no_trades=no_trades ) - trades = trim_dataframe(trades, timerange, 'open_time') + trades = trim_dataframe(trades, timerange, 'open_date') return {"ohlcv": data, "trades": trades, @@ -166,7 +166,7 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots: f"{row['sell_reason']}, {row['duration']} min", axis=1) trade_buys = go.Scatter( - x=trades["open_time"], + x=trades["open_date"], y=trades["open_rate"], mode='markers', name='Trade buy', @@ -181,7 +181,7 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots: ) trade_sells = go.Scatter( - x=trades.loc[trades['profit_percent'] > 0, "close_time"], + x=trades.loc[trades['profit_percent'] > 0, "close_date"], y=trades.loc[trades['profit_percent'] > 0, "close_rate"], text=trades.loc[trades['profit_percent'] > 0, "desc"], mode='markers', @@ -194,7 +194,7 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots: ) ) trade_sells_loss = go.Scatter( - x=trades.loc[trades['profit_percent'] <= 0, "close_time"], + x=trades.loc[trades['profit_percent'] <= 0, "close_date"], y=trades.loc[trades['profit_percent'] <= 0, "close_rate"], text=trades.loc[trades['profit_percent'] <= 0, "desc"], mode='markers', @@ -506,7 +506,7 @@ def plot_profit(config: Dict[str, Any]) -> None: # Remove open pairs - we don't know the profit yet so can't calculate profit for these. # Also, If only one open pair is left, then the profit-generation would fail. trades = trades[(trades['pair'].isin(plot_elements["pairs"])) - & (~trades['close_time'].isnull()) + & (~trades['close_date'].isnull()) ] if len(trades) == 0: raise OperationalException("No trades found, cannot generate Profit-plot without " From 28817187331fd7d84a55aa69cc38504263f43c0d Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 09:21:28 +0200 Subject: [PATCH 044/244] Adapt tests for new column names --- tests/data/test_btanalysis.py | 24 ++++++++++++------------ tests/edge/test_edge.py | 16 ++++++++-------- tests/optimize/test_backtest_detail.py | 4 ++-- tests/optimize/test_backtesting.py | 16 ++++++++-------- tests/optimize/test_hyperopt.py | 2 +- tests/optimize/test_optimize_reports.py | 4 ++-- tests/test_plotting.py | 2 +- 7 files changed, 34 insertions(+), 34 deletions(-) diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index d571569b9..077db19f1 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -47,7 +47,7 @@ def test_load_trades_from_db(default_conf, fee, mocker): assert len(trades) == 3 assert isinstance(trades, DataFrame) assert "pair" in trades.columns - assert "open_time" in trades.columns + assert "open_date" in trades.columns assert "profit_percent" in trades.columns for col in BT_DATA_COLUMNS: @@ -67,13 +67,13 @@ def test_extract_trades_of_period(testdatadir): {'pair': [pair, pair, pair, pair], 'profit_percent': [0.0, 0.1, -0.2, -0.5], 'profit_abs': [0.0, 1, -2, -5], - 'open_time': to_datetime([Arrow(2017, 11, 13, 15, 40, 0).datetime, + 'open_date': to_datetime([Arrow(2017, 11, 13, 15, 40, 0).datetime, Arrow(2017, 11, 14, 9, 41, 0).datetime, Arrow(2017, 11, 14, 14, 20, 0).datetime, Arrow(2017, 11, 15, 3, 40, 0).datetime, ], utc=True ), - 'close_time': to_datetime([Arrow(2017, 11, 13, 16, 40, 0).datetime, + 'close_date': to_datetime([Arrow(2017, 11, 13, 16, 40, 0).datetime, Arrow(2017, 11, 14, 10, 41, 0).datetime, Arrow(2017, 11, 14, 15, 25, 0).datetime, Arrow(2017, 11, 15, 3, 55, 0).datetime, @@ -82,10 +82,10 @@ def test_extract_trades_of_period(testdatadir): trades1 = extract_trades_of_period(data, trades) # First and last trade are dropped as they are out of range assert len(trades1) == 2 - assert trades1.iloc[0].open_time == Arrow(2017, 11, 14, 9, 41, 0).datetime - assert trades1.iloc[0].close_time == Arrow(2017, 11, 14, 10, 41, 0).datetime - assert trades1.iloc[-1].open_time == Arrow(2017, 11, 14, 14, 20, 0).datetime - assert trades1.iloc[-1].close_time == Arrow(2017, 11, 14, 15, 25, 0).datetime + assert trades1.iloc[0].open_date == Arrow(2017, 11, 14, 9, 41, 0).datetime + assert trades1.iloc[0].close_date == Arrow(2017, 11, 14, 10, 41, 0).datetime + assert trades1.iloc[-1].open_date == Arrow(2017, 11, 14, 14, 20, 0).datetime + assert trades1.iloc[-1].close_date == Arrow(2017, 11, 14, 15, 25, 0).datetime def test_analyze_trade_parallelism(default_conf, mocker, testdatadir): @@ -174,7 +174,7 @@ def test_create_cum_profit1(testdatadir): filename = testdatadir / "backtest-result_test.json" bt_data = load_backtest_data(filename) # Move close-time to "off" the candle, to make sure the logic still works - bt_data.loc[:, 'close_time'] = bt_data.loc[:, 'close_time'] + DateOffset(seconds=20) + bt_data.loc[:, 'close_date'] = bt_data.loc[:, 'close_date'] + DateOffset(seconds=20) timerange = TimeRange.parse_timerange("20180110-20180112") df = load_pair_history(pair="TRX/BTC", timeframe='5m', @@ -213,11 +213,11 @@ def test_calculate_max_drawdown2(): -0.033961, 0.010680, 0.010886, -0.029274, 0.011178, 0.010693, 0.010711] dates = [Arrow(2020, 1, 1).shift(days=i) for i in range(len(values))] - df = DataFrame(zip(values, dates), columns=['profit', 'open_time']) + df = DataFrame(zip(values, dates), columns=['profit', 'open_date']) # sort by profit and reset index df = df.sort_values('profit').reset_index(drop=True) df1 = df.copy() - drawdown, h, low = calculate_max_drawdown(df, date_col='open_time', value_col='profit') + drawdown, h, low = calculate_max_drawdown(df, date_col='open_date', value_col='profit') # Ensure df has not been altered. assert df.equals(df1) @@ -226,6 +226,6 @@ def test_calculate_max_drawdown2(): assert h < low assert drawdown == 0.091755 - df = DataFrame(zip(values[:5], dates[:5]), columns=['profit', 'open_time']) + df = DataFrame(zip(values[:5], dates[:5]), columns=['profit', 'open_date']) with pytest.raises(ValueError, match='No losing trade, therefore no drawdown.'): - calculate_max_drawdown(df, date_col='open_time', value_col='profit') + calculate_max_drawdown(df, date_col='open_date', value_col='profit') diff --git a/tests/edge/test_edge.py b/tests/edge/test_edge.py index cf9cb6fe1..ea1e709a2 100644 --- a/tests/edge/test_edge.py +++ b/tests/edge/test_edge.py @@ -163,8 +163,8 @@ def test_edge_results(edge_conf, mocker, caplog, data) -> None: for c, trade in enumerate(data.trades): res = results.iloc[c] assert res.exit_type == trade.sell_reason - assert res.open_time == _get_frame_time_from_offset(trade.open_tick).replace(tzinfo=None) - assert res.close_time == _get_frame_time_from_offset(trade.close_tick).replace(tzinfo=None) + assert res.open_date == _get_frame_time_from_offset(trade.open_tick).replace(tzinfo=None) + assert res.close_date == _get_frame_time_from_offset(trade.close_tick).replace(tzinfo=None) def test_adjust(mocker, edge_conf): @@ -354,8 +354,8 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc 'stoploss': -0.9, 'profit_percent': '', 'profit_abs': '', - 'open_time': np.datetime64('2018-10-03T00:05:00.000000000'), - 'close_time': np.datetime64('2018-10-03T00:10:00.000000000'), + 'open_date': np.datetime64('2018-10-03T00:05:00.000000000'), + 'close_date': np.datetime64('2018-10-03T00:10:00.000000000'), 'open_index': 1, 'close_index': 1, 'trade_duration': '', @@ -367,8 +367,8 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc 'stoploss': -0.9, 'profit_percent': '', 'profit_abs': '', - 'open_time': np.datetime64('2018-10-03T00:20:00.000000000'), - 'close_time': np.datetime64('2018-10-03T00:25:00.000000000'), + 'open_date': np.datetime64('2018-10-03T00:20:00.000000000'), + 'close_date': np.datetime64('2018-10-03T00:25:00.000000000'), 'open_index': 4, 'close_index': 4, 'trade_duration': '', @@ -380,8 +380,8 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc 'stoploss': -0.9, 'profit_percent': '', 'profit_abs': '', - 'open_time': np.datetime64('2018-10-03T00:30:00.000000000'), - 'close_time': np.datetime64('2018-10-03T00:40:00.000000000'), + 'open_date': np.datetime64('2018-10-03T00:30:00.000000000'), + 'close_date': np.datetime64('2018-10-03T00:40:00.000000000'), 'open_index': 6, 'close_index': 7, 'trade_duration': '', diff --git a/tests/optimize/test_backtest_detail.py b/tests/optimize/test_backtest_detail.py index 9b3043086..f6ac95aeb 100644 --- a/tests/optimize/test_backtest_detail.py +++ b/tests/optimize/test_backtest_detail.py @@ -395,5 +395,5 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None: for c, trade in enumerate(data.trades): res = results.iloc[c] assert res.sell_reason == trade.sell_reason - assert res.open_time == _get_frame_time_from_offset(trade.open_tick) - assert res.close_time == _get_frame_time_from_offset(trade.close_tick) + assert res.open_date == _get_frame_time_from_offset(trade.open_tick) + assert res.close_date == _get_frame_time_from_offset(trade.close_tick) diff --git a/tests/optimize/test_backtesting.py b/tests/optimize/test_backtesting.py index 853780b82..e7a13f251 100644 --- a/tests/optimize/test_backtesting.py +++ b/tests/optimize/test_backtesting.py @@ -459,10 +459,10 @@ def test_backtest(default_conf, fee, mocker, testdatadir) -> None: {'pair': [pair, pair], 'profit_percent': [0.0, 0.0], 'profit_abs': [0.0, 0.0], - 'open_time': pd.to_datetime([Arrow(2018, 1, 29, 18, 40, 0).datetime, + 'open_date': pd.to_datetime([Arrow(2018, 1, 29, 18, 40, 0).datetime, Arrow(2018, 1, 30, 3, 30, 0).datetime], utc=True ), - 'close_time': pd.to_datetime([Arrow(2018, 1, 29, 22, 35, 0).datetime, + 'close_date': pd.to_datetime([Arrow(2018, 1, 29, 22, 35, 0).datetime, Arrow(2018, 1, 30, 4, 10, 0).datetime], utc=True), 'open_index': [78, 184], 'close_index': [125, 192], @@ -475,12 +475,12 @@ def test_backtest(default_conf, fee, mocker, testdatadir) -> None: pd.testing.assert_frame_equal(results, expected) data_pair = processed[pair] for _, t in results.iterrows(): - ln = data_pair.loc[data_pair["date"] == t["open_time"]] + ln = data_pair.loc[data_pair["date"] == t["open_date"]] # Check open trade rate alignes to open rate assert ln is not None assert round(ln.iloc[0]["open"], 6) == round(t["open_rate"], 6) # check close trade rate alignes to close rate or is between high and low - ln = data_pair.loc[data_pair["date"] == t["close_time"]] + ln = data_pair.loc[data_pair["date"] == t["close_date"]] assert (round(ln.iloc[0]["open"], 6) == round(t["close_rate"], 6) or round(ln.iloc[0]["low"], 6) < round( t["close_rate"], 6) < round(ln.iloc[0]["high"], 6)) @@ -756,10 +756,10 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat pd.DataFrame({'pair': ['XRP/BTC', 'LTC/BTC'], 'profit_percent': [0.0, 0.0], 'profit_abs': [0.0, 0.0], - 'open_time': pd.to_datetime(['2018-01-29 18:40:00', + 'open_date': pd.to_datetime(['2018-01-29 18:40:00', '2018-01-30 03:30:00', ], utc=True ), - 'close_time': pd.to_datetime(['2018-01-29 20:45:00', + 'close_date': pd.to_datetime(['2018-01-29 20:45:00', '2018-01-30 05:35:00', ], utc=True), 'open_index': [78, 184], 'close_index': [125, 192], @@ -772,11 +772,11 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat pd.DataFrame({'pair': ['XRP/BTC', 'LTC/BTC', 'ETH/BTC'], 'profit_percent': [0.03, 0.01, 0.1], 'profit_abs': [0.01, 0.02, 0.2], - 'open_time': pd.to_datetime(['2018-01-29 18:40:00', + 'open_date': pd.to_datetime(['2018-01-29 18:40:00', '2018-01-30 03:30:00', '2018-01-30 05:30:00'], utc=True ), - 'close_time': pd.to_datetime(['2018-01-29 20:45:00', + 'close_date': pd.to_datetime(['2018-01-29 20:45:00', '2018-01-30 05:35:00', '2018-01-30 08:30:00'], utc=True), 'open_index': [78, 184, 185], diff --git a/tests/optimize/test_hyperopt.py b/tests/optimize/test_hyperopt.py index 564725709..00edd8ad2 100644 --- a/tests/optimize/test_hyperopt.py +++ b/tests/optimize/test_hyperopt.py @@ -46,7 +46,7 @@ def hyperopt_results(): 'profit_abs': [-0.2, 0.4, 0.6], 'trade_duration': [10, 30, 10], 'sell_reason': [SellType.STOP_LOSS, SellType.ROI, SellType.ROI], - 'close_time': + 'close_date': [ datetime(2019, 1, 1, 9, 26, 3, 478039), datetime(2019, 2, 1, 9, 26, 3, 478039), diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index 175405e4c..7efd87787 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -204,11 +204,11 @@ def test_backtest_record(default_conf, fee, mocker): "UNITTEST/BTC", "UNITTEST/BTC"], "profit_percent": [0.003312, 0.010801, 0.013803, 0.002780], "profit_abs": [0.000003, 0.000011, 0.000014, 0.000003], - "open_time": [Arrow(2017, 11, 14, 19, 32, 00).datetime, + "open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime, Arrow(2017, 11, 14, 21, 36, 00).datetime, Arrow(2017, 11, 14, 22, 12, 00).datetime, Arrow(2017, 11, 14, 22, 44, 00).datetime], - "close_time": [Arrow(2017, 11, 14, 21, 35, 00).datetime, + "close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime, Arrow(2017, 11, 14, 22, 10, 00).datetime, Arrow(2017, 11, 14, 22, 43, 00).datetime, Arrow(2017, 11, 14, 22, 58, 00).datetime], diff --git a/tests/test_plotting.py b/tests/test_plotting.py index 05805eb24..83a41deeb 100644 --- a/tests/test_plotting.py +++ b/tests/test_plotting.py @@ -267,7 +267,7 @@ def test_generate_profit_graph(testdatadir): trades = load_backtest_data(filename) timerange = TimeRange.parse_timerange("20180110-20180112") pairs = ["TRX/BTC", "XLM/BTC"] - trades = trades[trades['close_time'] < pd.Timestamp('2018-01-12', tz='UTC')] + trades = trades[trades['close_date'] < pd.Timestamp('2018-01-12', tz='UTC')] data = history.load_data(datadir=testdatadir, pairs=pairs, From 04cbc2cde5a832119db5c95b75e720974794fa5d Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 09:22:50 +0200 Subject: [PATCH 045/244] Shorten variable --- freqtrade/optimize/optimize_reports.py | 24 ++++++++++++------------ 1 file changed, 12 insertions(+), 12 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 63c2d2022..de609589a 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -1,5 +1,5 @@ import logging -from datetime import datetime, timedelta, timezone +from datetime import datetime, timedelta from pathlib import Path from typing import Any, Dict, List @@ -348,21 +348,21 @@ def text_table_strategy(strategy_results, stake_currency: str) -> str: floatfmt=floatfmt, tablefmt="orgtbl", stralign="right") -def text_table_add_metrics(strategy_results: Dict) -> str: - if len(strategy_results['trades']) > 0: - min_trade = min(strategy_results['trades'], key=lambda x: x['open_date']) +def text_table_add_metrics(strat_results: Dict) -> str: + if len(strat_results['trades']) > 0: + min_trade = min(strat_results['trades'], key=lambda x: x['open_date']) metrics = [ - ('Total trades', strategy_results['total_trades']), + ('Total trades', strat_results['total_trades']), ('First trade', min_trade['open_date'].strftime(DATETIME_PRINT_FORMAT)), ('First trade Pair', min_trade['pair']), - ('Backtesting from', strategy_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)), - ('Backtesting to', strategy_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)), - ('Trades per day', strategy_results['trades_per_day']), + ('Backtesting from', strat_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)), + ('Backtesting to', strat_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)), + ('Trades per day', strat_results['trades_per_day']), ('', ''), # Empty line to improve readability - ('Max Drawdown', f"{round(strategy_results['max_drawdown'] * 100, 2)}%"), - ('Drawdown Start', strategy_results['drawdown_start'].strftime(DATETIME_PRINT_FORMAT)), - ('Drawdown End', strategy_results['drawdown_end'].strftime(DATETIME_PRINT_FORMAT)), - ('Market change', f"{round(strategy_results['market_change'] * 100, 2)}%"), + ('Max Drawdown', f"{round(strat_results['max_drawdown'] * 100, 2)}%"), + ('Drawdown Start', strat_results['drawdown_start'].strftime(DATETIME_PRINT_FORMAT)), + ('Drawdown End', strat_results['drawdown_end'].strftime(DATETIME_PRINT_FORMAT)), + ('Market change', f"{round(strat_results['market_change'] * 100, 2)}%"), ] return tabulate(metrics, headers=["Metric", "Value"], tablefmt="orgtbl") From 0fa56be9d2a06fcc11b4f9bcdfa5b3564315539d Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 09:27:07 +0200 Subject: [PATCH 046/244] remove openIndex and closeIndex from backtest-report --- freqtrade/edge/edge_positioning.py | 2 -- freqtrade/optimize/backtesting.py | 6 ------ freqtrade/optimize/optimize_reports.py | 4 +++- tests/edge/test_edge.py | 6 ------ tests/optimize/test_backtesting.py | 6 ------ tests/optimize/test_optimize_reports.py | 2 -- 6 files changed, 3 insertions(+), 23 deletions(-) diff --git a/freqtrade/edge/edge_positioning.py b/freqtrade/edge/edge_positioning.py index 169732314..9843d4e83 100644 --- a/freqtrade/edge/edge_positioning.py +++ b/freqtrade/edge/edge_positioning.py @@ -429,8 +429,6 @@ class Edge: 'profit_abs': '', 'open_date': date_column[open_trade_index], 'close_date': date_column[exit_index], - 'open_index': start_point + open_trade_index, - 'close_index': start_point + exit_index, 'trade_duration': '', 'open_rate': round(open_price, 15), 'close_rate': round(exit_price, 15), diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index 4197ec087..1eef4f4b9 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -41,8 +41,6 @@ class BacktestResult(NamedTuple): profit_abs: float open_date: datetime close_date: datetime - open_index: int - close_index: int trade_duration: float open_at_end: bool open_rate: float @@ -251,8 +249,6 @@ class Backtesting: open_date=buy_row.date, close_date=sell_row.date, trade_duration=trade_dur, - open_index=buy_row.Index, - close_index=sell_row.Index, open_at_end=False, open_rate=buy_row.open, close_rate=closerate, @@ -268,8 +264,6 @@ class Backtesting: close_date=sell_row.date, trade_duration=int(( sell_row.date - buy_row.date).total_seconds() // 60), - open_index=buy_row.Index, - close_index=sell_row.Index, open_at_end=True, open_rate=buy_row.open, close_rate=sell_row.open, diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index de609589a..8f9104640 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -52,8 +52,10 @@ def backtest_result_to_list(results: DataFrame) -> List[List]: :param results: Dataframe containing results for one strategy :return: List of Lists containing the trades """ + # Return 0 as "index" for compatibility reasons (for now) + # TODO: Evaluate if we can remove this return [[t.pair, t.profit_percent, t.open_date.timestamp(), - t.open_date.timestamp(), t.open_index - 1, t.trade_duration, + t.open_date.timestamp(), 0, t.trade_duration, t.open_rate, t.close_rate, t.open_at_end, t.sell_reason.value] for index, t in results.iterrows()] diff --git a/tests/edge/test_edge.py b/tests/edge/test_edge.py index ea1e709a2..cd5f623e3 100644 --- a/tests/edge/test_edge.py +++ b/tests/edge/test_edge.py @@ -356,8 +356,6 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc 'profit_abs': '', 'open_date': np.datetime64('2018-10-03T00:05:00.000000000'), 'close_date': np.datetime64('2018-10-03T00:10:00.000000000'), - 'open_index': 1, - 'close_index': 1, 'trade_duration': '', 'open_rate': 17, 'close_rate': 17, @@ -369,8 +367,6 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc 'profit_abs': '', 'open_date': np.datetime64('2018-10-03T00:20:00.000000000'), 'close_date': np.datetime64('2018-10-03T00:25:00.000000000'), - 'open_index': 4, - 'close_index': 4, 'trade_duration': '', 'open_rate': 20, 'close_rate': 20, @@ -382,8 +378,6 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc 'profit_abs': '', 'open_date': np.datetime64('2018-10-03T00:30:00.000000000'), 'close_date': np.datetime64('2018-10-03T00:40:00.000000000'), - 'open_index': 6, - 'close_index': 7, 'trade_duration': '', 'open_rate': 26, 'close_rate': 34, diff --git a/tests/optimize/test_backtesting.py b/tests/optimize/test_backtesting.py index e7a13f251..c0a9e798a 100644 --- a/tests/optimize/test_backtesting.py +++ b/tests/optimize/test_backtesting.py @@ -464,8 +464,6 @@ def test_backtest(default_conf, fee, mocker, testdatadir) -> None: ), 'close_date': pd.to_datetime([Arrow(2018, 1, 29, 22, 35, 0).datetime, Arrow(2018, 1, 30, 4, 10, 0).datetime], utc=True), - 'open_index': [78, 184], - 'close_index': [125, 192], 'trade_duration': [235, 40], 'open_at_end': [False, False], 'open_rate': [0.104445, 0.10302485], @@ -761,8 +759,6 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat ), 'close_date': pd.to_datetime(['2018-01-29 20:45:00', '2018-01-30 05:35:00', ], utc=True), - 'open_index': [78, 184], - 'close_index': [125, 192], 'trade_duration': [235, 40], 'open_at_end': [False, False], 'open_rate': [0.104445, 0.10302485], @@ -779,8 +775,6 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat 'close_date': pd.to_datetime(['2018-01-29 20:45:00', '2018-01-30 05:35:00', '2018-01-30 08:30:00'], utc=True), - 'open_index': [78, 184, 185], - 'close_index': [125, 224, 205], 'trade_duration': [47, 40, 20], 'open_at_end': [False, False, False], 'open_rate': [0.104445, 0.10302485, 0.122541], diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index 7efd87787..9f06043cc 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -214,8 +214,6 @@ def test_backtest_record(default_conf, fee, mocker): Arrow(2017, 11, 14, 22, 58, 00).datetime], "open_rate": [0.002543, 0.003003, 0.003089, 0.003214], "close_rate": [0.002546, 0.003014, 0.003103, 0.003217], - "open_index": [1, 119, 153, 185], - "close_index": [118, 151, 184, 199], "trade_duration": [123, 34, 31, 14], "open_at_end": [False, False, False, True], "sell_reason": [SellType.ROI, SellType.STOP_LOSS, From dacb40a9765249c949beb1e07ce57db1915b7eb2 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 09:34:18 +0200 Subject: [PATCH 047/244] Add get_latest_backtest_filename --- freqtrade/data/btanalysis.py | 28 ++++++++++++++++++++++++++++ 1 file changed, 28 insertions(+) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index f174b8ea9..89380059f 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -20,6 +20,34 @@ BT_DATA_COLUMNS = ["pair", "profit_percent", "open_date", "close_date", "index", "open_rate", "close_rate", "open_at_end", "sell_reason"] +def get_latest_backtest_filename(directory: Union[Path, str]) -> str: + """ + Get latest backtest export based on '.last_result.json'. + :param directory: Directory to search for last result + :return: string containing the filename of the latest backtest result + :raises: ValueError in the following cases: + * Directory does not exist + * `directory/.last_result.json` does not exist + * `directory/.last_result.json` has the wrong content + """ + if isinstance(directory, str): + directory = Path(directory) + if not directory.is_dir(): + raise ValueError(f"Directory {directory} does not exist.") + filename = directory / '.last_result.json' + + if not filename.is_file(): + raise ValueError(f"Directory {directory} does not seem to contain backtest statistics yet.") + + with filename.open() as file: + data = json_load(file) + + if 'latest_backtest' not in data: + raise ValueError("Invalid .last_result.json format") + + return data['latest_backtest'] + + def load_backtest_stats(filename: Union[Path, str]) -> Dict[str, Any]: """ Load backtest statistics file. From 075eb0a161496a59d067ef4385ffc51997d4e87a Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 19:20:51 +0200 Subject: [PATCH 048/244] Fix sequence of saving --- freqtrade/optimize/backtesting.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index 1eef4f4b9..30418f0d7 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -409,11 +409,11 @@ class Backtesting: position_stacking=position_stacking, ) - if self.config.get('export', False): - store_backtest_result(self.config['exportfilename'], all_results) - # Show backtest results stats = generate_backtest_stats(self.config, data, all_results, min_date=min_date, max_date=max_date) - show_backtest_results(self.config, stats) if self.config.get('export', False): + store_backtest_result(self.config['exportfilename'], all_results) store_backtest_stats(self.config['exportfilename'], stats) + + # Show backtest results + show_backtest_results(self.config, stats) From af9a9592b78330925c4bd640b3280fdd4a96caff Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 19:32:47 +0200 Subject: [PATCH 049/244] Remove unnecessary statement --- freqtrade/data/btanalysis.py | 1 - 1 file changed, 1 deletion(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 89380059f..d6af67a32 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -141,7 +141,6 @@ def load_trades_from_db(db_url: str) -> pd.DataFrame: :param db_url: Sqlite url (default format sqlite:///tradesv3.dry-run.sqlite) :return: Dataframe containing Trades """ - trades: pd.DataFrame = pd.DataFrame([], columns=BT_DATA_COLUMNS) persistence.init(db_url, clean_open_orders=False) columns = ["pair", "open_date", "close_date", "profit", "profit_percent", From 03ab61959b6f0a53f74c50ca52190e96677ea45b Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 20:08:45 +0200 Subject: [PATCH 050/244] Add test for generate_backtest_stats --- freqtrade/optimize/optimize_reports.py | 10 +-- tests/optimize/test_optimize_reports.py | 81 +++++++++++++++++++++++-- 2 files changed, 82 insertions(+), 9 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 8f9104640..d1c58617d 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -1,5 +1,5 @@ import logging -from datetime import datetime, timedelta +from datetime import datetime, timedelta, timezone from pathlib import Path from typing import Any, Dict, List @@ -266,10 +266,10 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], except ValueError: strat_stats.update({ 'max_drawdown': 0.0, - 'drawdown_start': datetime.min, - 'drawdown_start_ts': datetime(1970, 1, 1).timestamp(), - 'drawdown_end': datetime.min, - 'drawdown_end_ts': datetime(1970, 1, 1).timestamp(), + 'drawdown_start': datetime(1970, 1, 1, tzinfo=timezone.utc), + 'drawdown_start_ts': 0, + 'drawdown_end': datetime(1970, 1, 1, tzinfo=timezone.utc), + 'drawdown_end_ts': 0, }) strategy_results = generate_strategy_metrics(stake_currency=stake_currency, diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index 9f06043cc..c46b96ab2 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -1,14 +1,22 @@ +from datetime import datetime from pathlib import Path import pandas as pd import pytest from arrow import Arrow +from freqtrade.configuration import TimeRange +from freqtrade.data import history from freqtrade.edge import PairInfo -from freqtrade.optimize.optimize_reports import ( - generate_pair_metrics, generate_edge_table, generate_sell_reason_stats, - text_table_bt_results, text_table_sell_reason, generate_strategy_metrics, - text_table_strategy, store_backtest_result) +from freqtrade.optimize.optimize_reports import (generate_backtest_stats, + generate_edge_table, + generate_pair_metrics, + generate_sell_reason_stats, + generate_strategy_metrics, + store_backtest_result, + text_table_bt_results, + text_table_sell_reason, + text_table_strategy) from freqtrade.strategy.interface import SellType from tests.conftest import patch_exchange @@ -43,6 +51,71 @@ def test_text_table_bt_results(default_conf, mocker): assert text_table_bt_results(pair_results, stake_currency='BTC') == result_str +def test_generate_backtest_stats(default_conf, testdatadir): + results = {'DefStrat': pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC", + "UNITTEST/BTC", "UNITTEST/BTC"], + "profit_percent": [0.003312, 0.010801, 0.013803, 0.002780], + "profit_abs": [0.000003, 0.000011, 0.000014, 0.000003], + "open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime, + Arrow(2017, 11, 14, 21, 36, 00).datetime, + Arrow(2017, 11, 14, 22, 12, 00).datetime, + Arrow(2017, 11, 14, 22, 44, 00).datetime], + "close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime, + Arrow(2017, 11, 14, 22, 10, 00).datetime, + Arrow(2017, 11, 14, 22, 43, 00).datetime, + Arrow(2017, 11, 14, 22, 58, 00).datetime], + "open_rate": [0.002543, 0.003003, 0.003089, 0.003214], + "close_rate": [0.002546, 0.003014, 0.003103, 0.003217], + "trade_duration": [123, 34, 31, 14], + "open_at_end": [False, False, False, True], + "sell_reason": [SellType.ROI, SellType.STOP_LOSS, + SellType.ROI, SellType.FORCE_SELL] + })} + timerange = TimeRange.parse_timerange('1510688220-1510700340') + min_date = Arrow.fromtimestamp(1510688220) + max_date = Arrow.fromtimestamp(1510700340) + btdata = history.load_data(testdatadir, '1m', ['UNITTEST/BTC'], timerange=timerange, + fill_up_missing=True) + + stats = generate_backtest_stats(default_conf, btdata, results, min_date, max_date) + assert isinstance(stats, dict) + assert 'strategy' in stats + assert 'DefStrat' in stats['strategy'] + assert 'strategy_comparison' in stats + strat_stats = stats['strategy']['DefStrat'] + assert strat_stats['backtest_start'] == min_date.datetime + assert strat_stats['backtest_end'] == max_date.datetime + assert strat_stats['total_trades'] == len(results['DefStrat']) + # Above sample had no loosing trade + assert strat_stats['max_drawdown'] == 0.0 + + results = {'DefStrat': pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC", + "UNITTEST/BTC", "UNITTEST/BTC"], + "profit_percent": [0.003312, 0.010801, -0.013803, 0.002780], + "profit_abs": [0.000003, 0.000011, -0.000014, 0.000003], + "open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime, + Arrow(2017, 11, 14, 21, 36, 00).datetime, + Arrow(2017, 11, 14, 22, 12, 00).datetime, + Arrow(2017, 11, 14, 22, 44, 00).datetime], + "close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime, + Arrow(2017, 11, 14, 22, 10, 00).datetime, + Arrow(2017, 11, 14, 22, 43, 00).datetime, + Arrow(2017, 11, 14, 22, 58, 00).datetime], + "open_rate": [0.002543, 0.003003, 0.003089, 0.003214], + "close_rate": [0.002546, 0.003014, 0.0032903, 0.003217], + "trade_duration": [123, 34, 31, 14], + "open_at_end": [False, False, False, True], + "sell_reason": [SellType.ROI, SellType.STOP_LOSS, + SellType.ROI, SellType.FORCE_SELL] + })} + + assert strat_stats['max_drawdown'] == 0.0 + assert strat_stats['drawdown_start'] == Arrow.fromtimestamp(0).datetime + assert strat_stats['drawdown_end'] == Arrow.fromtimestamp(0).datetime + assert strat_stats['drawdown_end_ts'] == 0 + assert strat_stats['drawdown_start_ts'] == 0 + + def test_generate_pair_metrics(default_conf, mocker): results = pd.DataFrame( From 6e947346787560085dcdb51970ddaa68e9525597 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 20:21:08 +0200 Subject: [PATCH 051/244] Add fee to backtestresult --- freqtrade/optimize/backtesting.py | 18 ++++++++++++------ tests/optimize/test_backtesting.py | 6 ++++-- 2 files changed, 16 insertions(+), 8 deletions(-) diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index 30418f0d7..7021e85b6 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -40,11 +40,13 @@ class BacktestResult(NamedTuple): profit_percent: float profit_abs: float open_date: datetime + open_rate: float + open_fee: float close_date: datetime + close_rate: float + close_fee: float trade_duration: float open_at_end: bool - open_rate: float - close_rate: float sell_reason: SellType @@ -247,11 +249,13 @@ class Backtesting: profit_percent=trade.calc_profit_ratio(rate=closerate), profit_abs=trade.calc_profit(rate=closerate), open_date=buy_row.date, + open_rate=buy_row.open, + open_fee=self.fee, close_date=sell_row.date, + close_rate=closerate, + close_fee=self.fee, trade_duration=trade_dur, open_at_end=False, - open_rate=buy_row.open, - close_rate=closerate, sell_reason=sell.sell_type ) if partial_ohlcv: @@ -261,12 +265,14 @@ class Backtesting: profit_percent=trade.calc_profit_ratio(rate=sell_row.open), profit_abs=trade.calc_profit(rate=sell_row.open), open_date=buy_row.date, + open_rate=buy_row.open, + open_fee=self.fee, close_date=sell_row.date, + close_rate=sell_row.open, + close_fee=self.fee, trade_duration=int(( sell_row.date - buy_row.date).total_seconds() // 60), open_at_end=True, - open_rate=buy_row.open, - close_rate=sell_row.open, sell_reason=SellType.FORCE_SELL ) logger.debug(f"{pair} - Force selling still open trade, " diff --git a/tests/optimize/test_backtesting.py b/tests/optimize/test_backtesting.py index c0a9e798a..4ee03f6ba 100644 --- a/tests/optimize/test_backtesting.py +++ b/tests/optimize/test_backtesting.py @@ -462,12 +462,14 @@ def test_backtest(default_conf, fee, mocker, testdatadir) -> None: 'open_date': pd.to_datetime([Arrow(2018, 1, 29, 18, 40, 0).datetime, Arrow(2018, 1, 30, 3, 30, 0).datetime], utc=True ), + 'open_rate': [0.104445, 0.10302485], + 'open_fee': [0.0025, 0.0025], 'close_date': pd.to_datetime([Arrow(2018, 1, 29, 22, 35, 0).datetime, Arrow(2018, 1, 30, 4, 10, 0).datetime], utc=True), + 'close_rate': [0.104969, 0.103541], + 'close_fee': [0.0025, 0.0025], 'trade_duration': [235, 40], 'open_at_end': [False, False], - 'open_rate': [0.104445, 0.10302485], - 'close_rate': [0.104969, 0.103541], 'sell_reason': [SellType.ROI, SellType.ROI] }) pd.testing.assert_frame_equal(results, expected) From f368aabcc7bce32752f93f26d020be7222e12678 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 20:51:36 +0200 Subject: [PATCH 052/244] Add amount to backtest-result --- freqtrade/optimize/backtesting.py | 3 +++ freqtrade/optimize/optimize_reports.py | 1 + tests/optimize/test_backtesting.py | 1 + 3 files changed, 5 insertions(+) diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index 7021e85b6..d00f033cd 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -45,6 +45,7 @@ class BacktestResult(NamedTuple): close_date: datetime close_rate: float close_fee: float + amount: float trade_duration: float open_at_end: bool sell_reason: SellType @@ -254,6 +255,7 @@ class Backtesting: close_date=sell_row.date, close_rate=closerate, close_fee=self.fee, + amount=trade.amount, trade_duration=trade_dur, open_at_end=False, sell_reason=sell.sell_type @@ -270,6 +272,7 @@ class Backtesting: close_date=sell_row.date, close_rate=sell_row.open, close_fee=self.fee, + amount=trade.amount, trade_duration=int(( sell_row.date - buy_row.date).total_seconds() // 60), open_at_end=True, diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index d1c58617d..a7cc8a7d6 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -250,6 +250,7 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], 'backtest_days': backtest_days, 'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else None, 'market_change': market_change, + 'stake_amount': config['stake_amount'] } result['strategy'][strategy] = strat_stats diff --git a/tests/optimize/test_backtesting.py b/tests/optimize/test_backtesting.py index 4ee03f6ba..d5a6f8888 100644 --- a/tests/optimize/test_backtesting.py +++ b/tests/optimize/test_backtesting.py @@ -468,6 +468,7 @@ def test_backtest(default_conf, fee, mocker, testdatadir) -> None: Arrow(2018, 1, 30, 4, 10, 0).datetime], utc=True), 'close_rate': [0.104969, 0.103541], 'close_fee': [0.0025, 0.0025], + 'amount': [0.009574, 0.009706], 'trade_duration': [235, 40], 'open_at_end': [False, False], 'sell_reason': [SellType.ROI, SellType.ROI] From 7727292861d661a09926cc1da3a5b9aaf4f501bf Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 26 Jun 2020 21:04:40 +0200 Subject: [PATCH 053/244] Rename duration to trade_duration --- freqtrade/data/btanalysis.py | 4 ++-- freqtrade/optimize/backtesting.py | 2 +- freqtrade/plot/plotting.py | 3 ++- tests/optimize/test_backtesting.py | 2 +- 4 files changed, 6 insertions(+), 5 deletions(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index d6af67a32..f34dbf313 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -16,7 +16,7 @@ from freqtrade.persistence import Trade logger = logging.getLogger(__name__) # must align with columns in backtest.py -BT_DATA_COLUMNS = ["pair", "profit_percent", "open_date", "close_date", "index", "duration", +BT_DATA_COLUMNS = ["pair", "profit_percent", "open_date", "close_date", "index", "trade_duration", "open_rate", "close_rate", "open_at_end", "sell_reason"] @@ -144,7 +144,7 @@ def load_trades_from_db(db_url: str) -> pd.DataFrame: persistence.init(db_url, clean_open_orders=False) columns = ["pair", "open_date", "close_date", "profit", "profit_percent", - "open_rate", "close_rate", "amount", "duration", "sell_reason", + "open_rate", "close_rate", "amount", "trade_duration", "sell_reason", "fee_open", "fee_close", "open_rate_requested", "close_rate_requested", "stake_amount", "max_rate", "min_rate", "id", "exchange", "stop_loss", "initial_stop_loss", "strategy", "timeframe"] diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index d00f033cd..18881f9db 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -228,7 +228,7 @@ class Backtesting: open_rate=buy_row.open, open_date=buy_row.date, stake_amount=stake_amount, - amount=stake_amount / buy_row.open, + amount=round(stake_amount / buy_row.open, 8), fee_open=self.fee, fee_close=self.fee, is_open=True, diff --git a/freqtrade/plot/plotting.py b/freqtrade/plot/plotting.py index 6d50defaf..eee338a42 100644 --- a/freqtrade/plot/plotting.py +++ b/freqtrade/plot/plotting.py @@ -163,7 +163,8 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots: if trades is not None and len(trades) > 0: # Create description for sell summarizing the trade trades['desc'] = trades.apply(lambda row: f"{round(row['profit_percent'] * 100, 1)}%, " - f"{row['sell_reason']}, {row['duration']} min", + f"{row['sell_reason']}, " + f"{row['trade_duration']} min", axis=1) trade_buys = go.Scatter( x=trades["open_date"], diff --git a/tests/optimize/test_backtesting.py b/tests/optimize/test_backtesting.py index d5a6f8888..2c855fbc0 100644 --- a/tests/optimize/test_backtesting.py +++ b/tests/optimize/test_backtesting.py @@ -468,7 +468,7 @@ def test_backtest(default_conf, fee, mocker, testdatadir) -> None: Arrow(2018, 1, 30, 4, 10, 0).datetime], utc=True), 'close_rate': [0.104969, 0.103541], 'close_fee': [0.0025, 0.0025], - 'amount': [0.009574, 0.009706], + 'amount': [0.00957442, 0.0097064], 'trade_duration': [235, 40], 'open_at_end': [False, False], 'sell_reason': [SellType.ROI, SellType.ROI] From 04eaf2c39cc41d67e599dc8114f3247931110e9a Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 27 Jun 2020 06:46:54 +0200 Subject: [PATCH 054/244] Add test for get_last_backtest_Result --- freqtrade/data/btanalysis.py | 6 +++--- tests/data/test_btanalysis.py | 19 +++++++++++++++++++ tests/testdata/.last_result.json | 1 + tests/testdata/backtest-result_new.json | 1 + tests/testdata/backtest-result_test copy.json | 7 ------- 5 files changed, 24 insertions(+), 10 deletions(-) create mode 100644 tests/testdata/.last_result.json create mode 100644 tests/testdata/backtest-result_new.json delete mode 100644 tests/testdata/backtest-result_test copy.json diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index f34dbf313..a556207e5 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -33,17 +33,17 @@ def get_latest_backtest_filename(directory: Union[Path, str]) -> str: if isinstance(directory, str): directory = Path(directory) if not directory.is_dir(): - raise ValueError(f"Directory {directory} does not exist.") + raise ValueError(f"Directory '{directory}' does not exist.") filename = directory / '.last_result.json' if not filename.is_file(): - raise ValueError(f"Directory {directory} does not seem to contain backtest statistics yet.") + raise ValueError(f"Directory '{directory}' does not seem to contain backtest statistics yet.") with filename.open() as file: data = json_load(file) if 'latest_backtest' not in data: - raise ValueError("Invalid .last_result.json format") + raise ValueError("Invalid '.last_result.json' format.") return data['latest_backtest'] diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index 077db19f1..fd3783bf2 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -13,12 +13,31 @@ from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, combine_dataframes_with_mean, create_cum_profit, extract_trades_of_period, + get_latest_backtest_filename, load_backtest_data, load_trades, load_trades_from_db) from freqtrade.data.history import load_data, load_pair_history from tests.conftest import create_mock_trades +def test_get_latest_backtest_filename(testdatadir, mocker): + with pytest.raises(ValueError, match=r"Directory .* does not exist\."): + get_latest_backtest_filename(testdatadir / 'does_not_exist') + + with pytest.raises(ValueError, + match=r"Directory .* does not seem to contain .*"): + get_latest_backtest_filename(testdatadir.parent) + + res = get_latest_backtest_filename(testdatadir) + assert res == 'backtest-result_new.json' + + mocker.patch("freqtrade.data.btanalysis.json_load", return_value={}) + + + with pytest.raises(ValueError, match=r"Invalid '.last_result.json' format."): + get_latest_backtest_filename(testdatadir) + + def test_load_backtest_data(testdatadir): filename = testdatadir / "backtest-result_test.json" diff --git a/tests/testdata/.last_result.json b/tests/testdata/.last_result.json new file mode 100644 index 000000000..98448e10f --- /dev/null +++ b/tests/testdata/.last_result.json @@ -0,0 +1 @@ +{"latest_backtest":"backtest-result_new.json"} diff --git a/tests/testdata/backtest-result_new.json b/tests/testdata/backtest-result_new.json new file mode 100644 index 000000000..457ad1bc7 --- /dev/null +++ b/tests/testdata/backtest-result_new.json @@ -0,0 +1 @@ +{"strategy": {"DefaultStrategy": {"trades": [{"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:20:00+00:00", "trade_duration": 5, "open_rate": 9.64e-05, "close_rate": 0.00010074887218045112, "open_at_end": false, "sell_reason": "roi", "profit": 4.348872180451118e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1037.344398340249, "profit_abs": 0.00399999999999999}, {"pair": "ADA/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:30:00+00:00", "trade_duration": 15, "open_rate": 4.756e-05, "close_rate": 4.9705563909774425e-05, "open_at_end": false, "sell_reason": "roi", "profit": 2.1455639097744267e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2102.6072329688814, "profit_abs": 0.00399999999999999}, {"pair": "XLM/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:35:00+00:00", "trade_duration": 10, "open_rate": 3.339e-05, "close_rate": 3.489631578947368e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.506315789473681e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2994.908655286014, "profit_abs": 0.0040000000000000036}, {"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:40:00+00:00", "trade_duration": 15, "open_rate": 9.696e-05, "close_rate": 0.00010133413533834584, "open_at_end": false, "sell_reason": "roi", "profit": 4.3741353383458455e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1031.3531353135315, "profit_abs": 0.00399999999999999}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 07:35:00+00:00", "close_date": "2018-01-10 08:35:00+00:00", "trade_duration": 60, "open_rate": 0.0943, "close_rate": 0.09477268170426063, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004726817042606385, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0604453870625663, "profit_abs": 0.0}, {"pair": "XMR/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 07:40:00+00:00", "close_date": "2018-01-10 08:10:00+00:00", "trade_duration": 30, "open_rate": 0.02719607, "close_rate": 0.02760503345864661, "open_at_end": false, "sell_reason": "roi", "profit": 0.00040896345864661204, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.677001860930642, "profit_abs": 0.0010000000000000009}, {"pair": "ZEC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 08:15:00+00:00", "close_date": "2018-01-10 09:55:00+00:00", "trade_duration": 100, "open_rate": 0.04634952, "close_rate": 0.046581848421052625, "open_at_end": false, "sell_reason": "roi", "profit": 0.0002323284210526272, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.1575196463739, "profit_abs": 0.0}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 14:45:00+00:00", "close_date": "2018-01-10 15:50:00+00:00", "trade_duration": 65, "open_rate": 3.066e-05, "close_rate": 3.081368421052631e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.5368421052630647e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3261.5786040443577, "profit_abs": -1.3877787807814457e-17}, {"pair": "LTC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 16:35:00+00:00", "close_date": "2018-01-10 17:15:00+00:00", "trade_duration": 40, "open_rate": 0.0168999, "close_rate": 0.016984611278195488, "open_at_end": false, "sell_reason": "roi", "profit": 8.471127819548868e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 5.917194776300452, "profit_abs": 1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 16:40:00+00:00", "close_date": "2018-01-10 17:20:00+00:00", "trade_duration": 40, "open_rate": 0.09132568, "close_rate": 0.0917834528320802, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004577728320801916, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0949822656672252, "profit_abs": 0.0}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 18:50:00+00:00", "close_date": "2018-01-10 19:45:00+00:00", "trade_duration": 55, "open_rate": 0.08898003, "close_rate": 0.08942604518796991, "open_at_end": false, "sell_reason": "roi", "profit": 0.00044601518796991146, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1238476768326557, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 22:15:00+00:00", "close_date": "2018-01-10 23:00:00+00:00", "trade_duration": 45, "open_rate": 0.08560008, "close_rate": 0.08602915308270676, "open_at_end": false, "sell_reason": "roi", "profit": 0.00042907308270676014, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1682232072680307, "profit_abs": 0.0}, {"pair": "ETC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 22:50:00+00:00", "close_date": "2018-01-10 23:20:00+00:00", "trade_duration": 30, "open_rate": 0.00249083, "close_rate": 0.0025282860902255634, "open_at_end": false, "sell_reason": "roi", "profit": 3.745609022556351e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 40.147260150231055, "profit_abs": 0.000999999999999987}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 23:15:00+00:00", "close_date": "2018-01-11 00:15:00+00:00", "trade_duration": 60, "open_rate": 3.022e-05, "close_rate": 3.037147869674185e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.5147869674185174e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3309.0668431502318, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-10 23:40:00+00:00", "close_date": "2018-01-11 00:05:00+00:00", "trade_duration": 25, "open_rate": 0.002437, "close_rate": 0.0024980776942355883, "open_at_end": false, "sell_reason": "roi", "profit": 6.107769423558838e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 41.03405826836274, "profit_abs": 0.001999999999999974}, {"pair": "ZEC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 00:00:00+00:00", "close_date": "2018-01-11 00:35:00+00:00", "trade_duration": 35, "open_rate": 0.04771803, "close_rate": 0.04843559436090225, "open_at_end": false, "sell_reason": "roi", "profit": 0.0007175643609022495, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.0956439316543456, "profit_abs": 0.0010000000000000009}, {"pair": "XLM/BTC", "profit_percent": -0.10448878, "open_date": "2018-01-11 03:40:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 45, "open_rate": 3.651e-05, "close_rate": 3.2859000000000005e-05, "open_at_end": false, "sell_reason": "stop_loss", "profit": -3.650999999999996e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2738.9756231169545, "profit_abs": -0.01047499999999997}, {"pair": "ETH/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 03:55:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 30, "open_rate": 0.08824105, "close_rate": 0.08956798308270676, "open_at_end": false, "sell_reason": "roi", "profit": 0.0013269330827067605, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1332594070446804, "profit_abs": 0.0010000000000000009}, {"pair": "ETC/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 04:00:00+00:00", "close_date": "2018-01-11 04:50:00+00:00", "trade_duration": 50, "open_rate": 0.00243, "close_rate": 0.002442180451127819, "open_at_end": false, "sell_reason": "roi", "profit": 1.2180451127819219e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 41.1522633744856, "profit_abs": -1.3877787807814457e-17}, {"pair": "ZEC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:30:00+00:00", "close_date": "2018-01-11 04:55:00+00:00", "trade_duration": 25, "open_rate": 0.04545064, "close_rate": 0.046589753784461146, "open_at_end": false, "sell_reason": "roi", "profit": 0.001139113784461146, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.200189040242338, "profit_abs": 0.001999999999999988}, {"pair": "XLM/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:30:00+00:00", "close_date": "2018-01-11 04:50:00+00:00", "trade_duration": 20, "open_rate": 3.372e-05, "close_rate": 3.456511278195488e-05, "open_at_end": false, "sell_reason": "roi", "profit": 8.4511278195488e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2965.599051008304, "profit_abs": 0.001999999999999988}, {"pair": "XMR/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:55:00+00:00", "close_date": "2018-01-11 05:15:00+00:00", "trade_duration": 20, "open_rate": 0.02644, "close_rate": 0.02710265664160401, "open_at_end": false, "sell_reason": "roi", "profit": 0.0006626566416040071, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.7821482602118004, "profit_abs": 0.001999999999999988}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 11:20:00+00:00", "close_date": "2018-01-11 12:00:00+00:00", "trade_duration": 40, "open_rate": 0.08812, "close_rate": 0.08856170426065162, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004417042606516125, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1348161597821154, "profit_abs": 0.0}, {"pair": "XMR/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 11:35:00+00:00", "close_date": "2018-01-11 12:15:00+00:00", "trade_duration": 40, "open_rate": 0.02683577, "close_rate": 0.026970285137844607, "open_at_end": false, "sell_reason": "roi", "profit": 0.00013451513784460897, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.7263696923919087, "profit_abs": 0.0}, {"pair": "ADA/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 14:00:00+00:00", "close_date": "2018-01-11 14:25:00+00:00", "trade_duration": 25, "open_rate": 4.919e-05, "close_rate": 5.04228320802005e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.232832080200495e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2032.9335230737956, "profit_abs": 0.0020000000000000018}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 19:25:00+00:00", "close_date": "2018-01-11 20:35:00+00:00", "trade_duration": 70, "open_rate": 0.08784896, "close_rate": 0.08828930566416039, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004403456641603881, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1383174029607181, "profit_abs": -1.3877787807814457e-17}, {"pair": "ADA/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 22:35:00+00:00", "close_date": "2018-01-11 23:30:00+00:00", "trade_duration": 55, "open_rate": 5.105e-05, "close_rate": 5.130588972431077e-05, "open_at_end": false, "sell_reason": "roi", "profit": 2.558897243107704e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1958.8638589618022, "profit_abs": -1.3877787807814457e-17}, {"pair": "XLM/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 22:55:00+00:00", "close_date": "2018-01-11 23:25:00+00:00", "trade_duration": 30, "open_rate": 3.96e-05, "close_rate": 4.019548872180451e-05, "open_at_end": false, "sell_reason": "roi", "profit": 5.954887218045116e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2525.252525252525, "profit_abs": 0.0010000000000000148}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 22:55:00+00:00", "close_date": "2018-01-11 23:35:00+00:00", "trade_duration": 40, "open_rate": 2.885e-05, "close_rate": 2.899461152882205e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.4461152882205115e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3466.204506065858, "profit_abs": -1.3877787807814457e-17}, {"pair": "XMR/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 23:30:00+00:00", "close_date": "2018-01-12 00:05:00+00:00", "trade_duration": 35, "open_rate": 0.02645, "close_rate": 0.026847744360902256, "open_at_end": false, "sell_reason": "roi", "profit": 0.0003977443609022545, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 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From 133947988238905752513992b4ad2caafb5eead3 Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 27 Jun 2020 07:08:16 +0200 Subject: [PATCH 055/244] Have sell_type stringify correctly --- freqtrade/strategy/interface.py | 4 ++++ tests/test_freqtradebot.py | 2 +- 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py index f9f3a3678..cee217ed5 100644 --- a/freqtrade/strategy/interface.py +++ b/freqtrade/strategy/interface.py @@ -45,6 +45,10 @@ class SellType(Enum): EMERGENCY_SELL = "emergency_sell" NONE = "" + def __str__(self): + # explicitly convert to String to help with exporting data. + return self.value + class SellCheckTuple(NamedTuple): """ diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py index 6496043f9..89991fde8 100644 --- a/tests/test_freqtradebot.py +++ b/tests/test_freqtradebot.py @@ -320,7 +320,7 @@ def test_edge_overrides_stoploss(limit_buy_order, fee, caplog, mocker, edge_conf # stoploss shoud be hit assert freqtrade.handle_trade(trade) is True - assert log_has('Executing Sell for NEO/BTC. Reason: SellType.STOP_LOSS', caplog) + assert log_has('Executing Sell for NEO/BTC. Reason: stop_loss', caplog) assert trade.sell_reason == SellType.STOP_LOSS.value From c13ec4a1d485e372c905a75a38ecc1bc42a60c6a Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 27 Jun 2020 07:15:33 +0200 Subject: [PATCH 056/244] implement fallback loading for load_backtest_data --- freqtrade/data/btanalysis.py | 45 ++++++++++++++------------ freqtrade/optimize/optimize_reports.py | 2 +- 2 files changed, 26 insertions(+), 21 deletions(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index a556207e5..adf01e33d 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -70,29 +70,34 @@ def load_backtest_data(filename: Union[Path, str]) -> pd.DataFrame: Load backtest data file. :param filename: pathlib.Path object, or string pointing to the file. :return: a dataframe with the analysis results + :raise: ValueError if loading goes wrong. """ - if isinstance(filename, str): - filename = Path(filename) + data = load_backtest_stats(filename) + if not isinstance(data, list): + # new format + if 'strategy' not in data: + raise ValueError("Unknown dataformat") + if len(data['strategy']) != 1: + raise ValueError("Detected new Format with more than one strategy") + strategy = list(data['strategy'].keys())[0] + data = data['strategy'][strategy]['trades'] + df = pd.DataFrame(data) - if not filename.is_file(): - raise ValueError(f"File {filename} does not exist.") + else: + # old format - only with lists. + df = pd.DataFrame(data, columns=BT_DATA_COLUMNS) - with filename.open() as file: - data = json_load(file) - - df = pd.DataFrame(data, columns=BT_DATA_COLUMNS) - - df['open_date'] = pd.to_datetime(df['open_date'], - unit='s', - utc=True, - infer_datetime_format=True - ) - df['close_date'] = pd.to_datetime(df['close_date'], - unit='s', - utc=True, - infer_datetime_format=True - ) - df['profit'] = df['close_rate'] - df['open_rate'] + df['open_date'] = pd.to_datetime(df['open_date'], + unit='s', + utc=True, + infer_datetime_format=True + ) + df['close_date'] = pd.to_datetime(df['close_date'], + unit='s', + utc=True, + infer_datetime_format=True + ) + df['profit_abs'] = df['close_rate'] - df['open_rate'] df = df.sort_values("open_date").reset_index(drop=True) return df diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index a7cc8a7d6..6f9d3f34e 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -55,7 +55,7 @@ def backtest_result_to_list(results: DataFrame) -> List[List]: # Return 0 as "index" for compatibility reasons (for now) # TODO: Evaluate if we can remove this return [[t.pair, t.profit_percent, t.open_date.timestamp(), - t.open_date.timestamp(), 0, t.trade_duration, + t.close_date.timestamp(), 0, t.trade_duration, t.open_rate, t.close_rate, t.open_at_end, t.sell_reason.value] for index, t in results.iterrows()] From afefe92523421c87b0e968aa79e25fde175687ba Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 27 Jun 2020 09:56:37 +0200 Subject: [PATCH 057/244] Add multi-strategy loading logic --- freqtrade/data/btanalysis.py | 47 ++++++++++++++----- .../testdata/backtest-result_multistrat.json | 1 + 2 files changed, 36 insertions(+), 12 deletions(-) create mode 100644 tests/testdata/backtest-result_multistrat.json diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index adf01e33d..17d3fed14 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -3,7 +3,7 @@ Helpers when analyzing backtest data """ import logging from pathlib import Path -from typing import Dict, Union, Tuple, Any +from typing import Dict, Union, Tuple, Any, Optional import numpy as np import pandas as pd @@ -65,24 +65,41 @@ def load_backtest_stats(filename: Union[Path, str]) -> Dict[str, Any]: return data -def load_backtest_data(filename: Union[Path, str]) -> pd.DataFrame: +def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = None) -> pd.DataFrame: """ Load backtest data file. :param filename: pathlib.Path object, or string pointing to the file. + :param strategy: Strategy to load - mainly relevant for multi-strategy backtests + Can also serve as protection to load the correct result. :return: a dataframe with the analysis results :raise: ValueError if loading goes wrong. """ data = load_backtest_stats(filename) if not isinstance(data, list): - # new format + # new, nested format if 'strategy' not in data: - raise ValueError("Unknown dataformat") - if len(data['strategy']) != 1: - raise ValueError("Detected new Format with more than one strategy") - strategy = list(data['strategy'].keys())[0] + raise ValueError("Unknown dataformat.") + + if not strategy: + if len(data['strategy']) == 1: + strategy = list(data['strategy'].keys())[0] + else: + raise ValueError("Detected backtest result with more than one strategy. " + "Please specify a strategy.") + + if strategy not in data['strategy']: + raise ValueError(f"Strategy {strategy} not available in the backtest result.") + data = data['strategy'][strategy]['trades'] df = pd.DataFrame(data) - + df['open_date'] = pd.to_datetime(df['open_date'], + utc=True, + infer_datetime_format=True + ) + df['close_date'] = pd.to_datetime(df['close_date'], + utc=True, + infer_datetime_format=True + ) else: # old format - only with lists. df = pd.DataFrame(data, columns=BT_DATA_COLUMNS) @@ -140,10 +157,12 @@ def evaluate_result_multi(results: pd.DataFrame, timeframe: str, return df_final[df_final['open_trades'] > max_open_trades] -def load_trades_from_db(db_url: str) -> pd.DataFrame: +def load_trades_from_db(db_url: str, strategy: Optional[str] = None) -> pd.DataFrame: """ Load trades from a DB (using dburl) :param db_url: Sqlite url (default format sqlite:///tradesv3.dry-run.sqlite) + :param strategy: Strategy to load - mainly relevant for multi-strategy backtests + Can also serve as protection to load the correct result. :return: Dataframe containing Trades """ persistence.init(db_url, clean_open_orders=False) @@ -154,6 +173,10 @@ def load_trades_from_db(db_url: str) -> pd.DataFrame: "stake_amount", "max_rate", "min_rate", "id", "exchange", "stop_loss", "initial_stop_loss", "strategy", "timeframe"] + filters = [] + if strategy: + filters = Trade.strategy == strategy + trades = pd.DataFrame([(t.pair, t.open_date.replace(tzinfo=timezone.utc), t.close_date.replace(tzinfo=timezone.utc) if t.close_date else None, @@ -172,14 +195,14 @@ def load_trades_from_db(db_url: str) -> pd.DataFrame: t.stop_loss, t.initial_stop_loss, t.strategy, t.timeframe ) - for t in Trade.get_trades().all()], + for t in Trade.get_trades(filters).all()], columns=columns) return trades def load_trades(source: str, db_url: str, exportfilename: Path, - no_trades: bool = False) -> pd.DataFrame: + no_trades: bool = False, strategy: Optional[str] = None) -> pd.DataFrame: """ Based on configuration option "trade_source": * loads data from DB (using `db_url`) @@ -197,7 +220,7 @@ def load_trades(source: str, db_url: str, exportfilename: Path, if source == "DB": return load_trades_from_db(db_url) elif source == "file": - return load_backtest_data(exportfilename) + return load_backtest_data(exportfilename, strategy) def extract_trades_of_period(dataframe: pd.DataFrame, trades: pd.DataFrame, diff --git a/tests/testdata/backtest-result_multistrat.json b/tests/testdata/backtest-result_multistrat.json new file mode 100644 index 000000000..a58ab28cb --- /dev/null +++ b/tests/testdata/backtest-result_multistrat.json @@ -0,0 +1 @@ +{"strategy": {"DefaultStrategy": {"trades": [{"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:20:00+00:00", "trade_duration": 5, "open_rate": 9.64e-05, "close_rate": 0.00010074887218045112, "open_at_end": false, "sell_reason": "roi", "profit": 4.348872180451118e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1037.344398340249, "profit_abs": 0.00399999999999999}, {"pair": "ADA/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:30:00+00:00", "trade_duration": 15, "open_rate": 4.756e-05, "close_rate": 4.9705563909774425e-05, "open_at_end": false, "sell_reason": "roi", "profit": 2.1455639097744267e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2102.6072329688814, "profit_abs": 0.00399999999999999}, {"pair": "XLM/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:35:00+00:00", "trade_duration": 10, "open_rate": 3.339e-05, "close_rate": 3.489631578947368e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.506315789473681e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2994.908655286014, "profit_abs": 0.0040000000000000036}, {"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:40:00+00:00", "trade_duration": 15, "open_rate": 9.696e-05, "close_rate": 0.00010133413533834584, "open_at_end": false, "sell_reason": "roi", "profit": 4.3741353383458455e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1031.3531353135315, "profit_abs": 0.00399999999999999}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 07:35:00+00:00", "close_date": "2018-01-10 08:35:00+00:00", "trade_duration": 60, "open_rate": 0.0943, "close_rate": 0.09477268170426063, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004726817042606385, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0604453870625663, "profit_abs": 0.0}, {"pair": "XMR/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 07:40:00+00:00", "close_date": "2018-01-10 08:10:00+00:00", "trade_duration": 30, "open_rate": 0.02719607, "close_rate": 0.02760503345864661, "open_at_end": false, "sell_reason": "roi", "profit": 0.00040896345864661204, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.677001860930642, "profit_abs": 0.0010000000000000009}, {"pair": "ZEC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 08:15:00+00:00", "close_date": "2018-01-10 09:55:00+00:00", "trade_duration": 100, "open_rate": 0.04634952, "close_rate": 0.046581848421052625, "open_at_end": false, "sell_reason": "roi", "profit": 0.0002323284210526272, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.1575196463739, "profit_abs": 0.0}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 14:45:00+00:00", "close_date": "2018-01-10 15:50:00+00:00", "trade_duration": 65, "open_rate": 3.066e-05, "close_rate": 3.081368421052631e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.5368421052630647e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3261.5786040443577, "profit_abs": -1.3877787807814457e-17}, {"pair": "LTC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 16:35:00+00:00", "close_date": "2018-01-10 17:15:00+00:00", "trade_duration": 40, "open_rate": 0.0168999, "close_rate": 0.016984611278195488, "open_at_end": false, "sell_reason": "roi", "profit": 8.471127819548868e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 5.917194776300452, "profit_abs": 1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 16:40:00+00:00", "close_date": "2018-01-10 17:20:00+00:00", "trade_duration": 40, "open_rate": 0.09132568, "close_rate": 0.0917834528320802, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004577728320801916, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0949822656672252, "profit_abs": 0.0}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 18:50:00+00:00", "close_date": "2018-01-10 19:45:00+00:00", "trade_duration": 55, "open_rate": 0.08898003, "close_rate": 0.08942604518796991, "open_at_end": false, "sell_reason": "roi", "profit": 0.00044601518796991146, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1238476768326557, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 22:15:00+00:00", "close_date": "2018-01-10 23:00:00+00:00", "trade_duration": 45, "open_rate": 0.08560008, "close_rate": 0.08602915308270676, "open_at_end": false, "sell_reason": "roi", "profit": 0.00042907308270676014, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1682232072680307, "profit_abs": 0.0}, {"pair": "ETC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 22:50:00+00:00", "close_date": "2018-01-10 23:20:00+00:00", "trade_duration": 30, "open_rate": 0.00249083, "close_rate": 0.0025282860902255634, "open_at_end": false, "sell_reason": "roi", "profit": 3.745609022556351e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 40.147260150231055, "profit_abs": 0.000999999999999987}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 23:15:00+00:00", "close_date": "2018-01-11 00:15:00+00:00", "trade_duration": 60, "open_rate": 3.022e-05, "close_rate": 3.037147869674185e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.5147869674185174e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3309.0668431502318, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-10 23:40:00+00:00", "close_date": "2018-01-11 00:05:00+00:00", "trade_duration": 25, "open_rate": 0.002437, "close_rate": 0.0024980776942355883, "open_at_end": false, "sell_reason": "roi", "profit": 6.107769423558838e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 41.03405826836274, "profit_abs": 0.001999999999999974}, {"pair": "ZEC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 00:00:00+00:00", "close_date": "2018-01-11 00:35:00+00:00", "trade_duration": 35, "open_rate": 0.04771803, "close_rate": 0.04843559436090225, "open_at_end": false, "sell_reason": "roi", "profit": 0.0007175643609022495, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.0956439316543456, "profit_abs": 0.0010000000000000009}, {"pair": "XLM/BTC", "profit_percent": -0.10448878, "open_date": "2018-01-11 03:40:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 45, "open_rate": 3.651e-05, "close_rate": 3.2859000000000005e-05, "open_at_end": false, "sell_reason": "stop_loss", "profit": -3.650999999999996e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2738.9756231169545, "profit_abs": -0.01047499999999997}, {"pair": "ETH/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 03:55:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 30, "open_rate": 0.08824105, "close_rate": 0.08956798308270676, "open_at_end": false, "sell_reason": "roi", "profit": 0.0013269330827067605, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1332594070446804, "profit_abs": 0.0010000000000000009}, {"pair": "ETC/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 04:00:00+00:00", "close_date": "2018-01-11 04:50:00+00:00", "trade_duration": 50, "open_rate": 0.00243, "close_rate": 0.002442180451127819, "open_at_end": false, "sell_reason": "roi", "profit": 1.2180451127819219e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 41.1522633744856, "profit_abs": -1.3877787807814457e-17}, {"pair": "ZEC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:30:00+00:00", "close_date": "2018-01-11 04:55:00+00:00", "trade_duration": 25, "open_rate": 0.04545064, "close_rate": 0.046589753784461146, "open_at_end": false, "sell_reason": "roi", "profit": 0.001139113784461146, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.200189040242338, "profit_abs": 0.001999999999999988}, {"pair": "XLM/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:30:00+00:00", "close_date": "2018-01-11 04:50:00+00:00", "trade_duration": 20, "open_rate": 3.372e-05, "close_rate": 3.456511278195488e-05, "open_at_end": false, "sell_reason": "roi", "profit": 8.4511278195488e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2965.599051008304, "profit_abs": 0.001999999999999988}, {"pair": "XMR/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:55:00+00:00", "close_date": "2018-01-11 05:15:00+00:00", "trade_duration": 20, "open_rate": 0.02644, "close_rate": 0.02710265664160401, "open_at_end": false, "sell_reason": "roi", "profit": 0.0006626566416040071, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.7821482602118004, "profit_abs": 0.001999999999999988}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 11:20:00+00:00", "close_date": "2018-01-11 12:00:00+00:00", "trade_duration": 40, "open_rate": 0.08812, "close_rate": 0.08856170426065162, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004417042606516125, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1348161597821154, "profit_abs": 0.0}, {"pair": "XMR/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 11:35:00+00:00", "close_date": "2018-01-11 12:15:00+00:00", "trade_duration": 40, "open_rate": 0.02683577, "close_rate": 0.026970285137844607, "open_at_end": false, "sell_reason": "roi", "profit": 0.00013451513784460897, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.7263696923919087, "profit_abs": 0.0}, {"pair": "ADA/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 14:00:00+00:00", "close_date": "2018-01-11 14:25:00+00:00", "trade_duration": 25, "open_rate": 4.919e-05, "close_rate": 5.04228320802005e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.232832080200495e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2032.9335230737956, "profit_abs": 0.0020000000000000018}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 19:25:00+00:00", "close_date": "2018-01-11 20:35:00+00:00", "trade_duration": 70, "open_rate": 0.08784896, "close_rate": 0.08828930566416039, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004403456641603881, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 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04:45:00+00:00", "drawdown_end_ts": 1517287500.0}}, "strategy_comparison": [{"key": "DefaultStrategy", "trades": 179, "profit_mean": 0.0008041243575418989, "profit_mean_pct": 0.0804124357541899, "profit_sum": 0.1439382599999999, "profit_sum_pct": 14.39382599999999, "profit_total_abs": 0.014429822823265714, "profit_total_pct": 4.797941999999996, "duration_avg": "3:40:00", "wins": 73, "draws": 54, "losses": 52}, {"key": "TestStrategy", "trades": 179, "profit_mean": 0.0008041243575418989, "profit_mean_pct": 0.0804124357541899, "profit_sum": 0.1439382599999999, "profit_sum_pct": 14.39382599999999, "profit_total_abs": 0.014429822823265714, "profit_total_pct": 4.797941999999996, "duration_avg": "3:40:00", "wins": 73, "draws": 54, "losses": 52}]} \ No newline at end of file From 573502d97226bdaea5ebb1d8eb92cdb078ad748d Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 27 Jun 2020 09:59:23 +0200 Subject: [PATCH 058/244] Update test for load_trades_from_db --- tests/conftest.py | 9 ++++++--- tests/data/test_btanalysis.py | 9 +++++++-- 2 files changed, 13 insertions(+), 5 deletions(-) diff --git a/tests/conftest.py b/tests/conftest.py index f2143e60e..62810bd6e 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -180,7 +180,8 @@ def create_mock_trades(fee): fee_close=fee.return_value, open_rate=0.123, exchange='bittrex', - open_order_id='dry_run_buy_12345' + open_order_id='dry_run_buy_12345', + strategy='DefaultStrategy', ) Trade.session.add(trade) @@ -195,7 +196,8 @@ def create_mock_trades(fee): close_profit=0.005, exchange='bittrex', is_open=False, - open_order_id='dry_run_sell_12345' + open_order_id='dry_run_sell_12345', + strategy='DefaultStrategy', ) Trade.session.add(trade) @@ -208,7 +210,8 @@ def create_mock_trades(fee): fee_close=fee.return_value, open_rate=0.123, exchange='bittrex', - open_order_id='prod_buy_12345' + open_order_id='prod_buy_12345', + strategy='DefaultStrategy', ) Trade.session.add(trade) diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index fd3783bf2..32e476b6b 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -43,7 +43,7 @@ def test_load_backtest_data(testdatadir): filename = testdatadir / "backtest-result_test.json" bt_data = load_backtest_data(filename) assert isinstance(bt_data, DataFrame) - assert list(bt_data.columns) == BT_DATA_COLUMNS + ["profit"] + assert list(bt_data.columns) == BT_DATA_COLUMNS + ["profit_abs"] assert len(bt_data) == 179 # Test loading from string (must yield same result) @@ -72,6 +72,10 @@ def test_load_trades_from_db(default_conf, fee, mocker): for col in BT_DATA_COLUMNS: if col not in ['index', 'open_at_end']: assert col in trades.columns + trades = load_trades_from_db(db_url=default_conf['db_url'], strategy='DefaultStrategy') + assert len(trades) == 3 + trades = load_trades_from_db(db_url=default_conf['db_url'], strategy='NoneStrategy') + assert len(trades) == 0 def test_extract_trades_of_period(testdatadir): @@ -125,7 +129,8 @@ def test_load_trades(default_conf, mocker): load_trades("DB", db_url=default_conf.get('db_url'), exportfilename=default_conf.get('exportfilename'), - no_trades=False + no_trades=False, + strategy="DefaultStrategy", ) assert db_mock.call_count == 1 From f952f74bf18c71de95eb5db9e92218f3e166c567 Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 27 Jun 2020 10:06:59 +0200 Subject: [PATCH 059/244] Add test for new format --- tests/data/test_btanalysis.py | 19 ++++++++++++++++++- tests/testdata/backtest-result_new.json | 2 +- 2 files changed, 19 insertions(+), 2 deletions(-) diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index 32e476b6b..9ae67ed58 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -17,6 +17,7 @@ from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, load_backtest_data, load_trades, load_trades_from_db) from freqtrade.data.history import load_data, load_pair_history +from freqtrade.optimize.backtesting import BacktestResult from tests.conftest import create_mock_trades @@ -38,7 +39,7 @@ def test_get_latest_backtest_filename(testdatadir, mocker): get_latest_backtest_filename(testdatadir) -def test_load_backtest_data(testdatadir): +def test_load_backtest_data_old_format(testdatadir): filename = testdatadir / "backtest-result_test.json" bt_data = load_backtest_data(filename) @@ -54,6 +55,22 @@ def test_load_backtest_data(testdatadir): load_backtest_data(str("filename") + "nofile") +def test_load_backtest_data_new_format(testdatadir): + + filename = testdatadir / "backtest-result_new.json" + bt_data = load_backtest_data(filename) + assert isinstance(bt_data, DataFrame) + assert set(bt_data.columns) == set(list(BacktestResult._fields) + ["profit_abs"]) + assert len(bt_data) == 179 + + # Test loading from string (must yield same result) + bt_data2 = load_backtest_data(str(filename)) + assert bt_data.equals(bt_data2) + + with pytest.raises(ValueError, match=r"File .* does not exist\."): + load_backtest_data(str("filename") + "nofile") + + @pytest.mark.usefixtures("init_persistence") def test_load_trades_from_db(default_conf, fee, mocker): diff --git a/tests/testdata/backtest-result_new.json b/tests/testdata/backtest-result_new.json index 457ad1bc7..a44597e82 100644 --- a/tests/testdata/backtest-result_new.json +++ b/tests/testdata/backtest-result_new.json @@ -1 +1 @@ -{"strategy": {"DefaultStrategy": {"trades": [{"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:20:00+00:00", "trade_duration": 5, "open_rate": 9.64e-05, "close_rate": 0.00010074887218045112, "open_at_end": false, "sell_reason": "roi", "profit": 4.348872180451118e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1037.344398340249, "profit_abs": 0.00399999999999999}, {"pair": "ADA/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:30:00+00:00", "trade_duration": 15, "open_rate": 4.756e-05, "close_rate": 4.9705563909774425e-05, "open_at_end": false, "sell_reason": "roi", "profit": 2.1455639097744267e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2102.6072329688814, "profit_abs": 0.00399999999999999}, {"pair": "XLM/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:35:00+00:00", "trade_duration": 10, "open_rate": 3.339e-05, "close_rate": 3.489631578947368e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.506315789473681e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2994.908655286014, "profit_abs": 0.0040000000000000036}, {"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:40:00+00:00", "trade_duration": 15, "open_rate": 9.696e-05, "close_rate": 0.00010133413533834584, "open_at_end": false, "sell_reason": "roi", "profit": 4.3741353383458455e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1031.3531353135315, "profit_abs": 0.00399999999999999}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 07:35:00+00:00", "close_date": "2018-01-10 08:35:00+00:00", "trade_duration": 60, "open_rate": 0.0943, "close_rate": 0.09477268170426063, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004726817042606385, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0604453870625663, "profit_abs": 0.0}, {"pair": "XMR/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 07:40:00+00:00", "close_date": "2018-01-10 08:10:00+00:00", "trade_duration": 30, "open_rate": 0.02719607, "close_rate": 0.02760503345864661, "open_at_end": false, "sell_reason": "roi", "profit": 0.00040896345864661204, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.677001860930642, "profit_abs": 0.0010000000000000009}, {"pair": "ZEC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 08:15:00+00:00", "close_date": "2018-01-10 09:55:00+00:00", "trade_duration": 100, "open_rate": 0.04634952, "close_rate": 0.046581848421052625, "open_at_end": false, "sell_reason": "roi", "profit": 0.0002323284210526272, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.1575196463739, "profit_abs": 0.0}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 14:45:00+00:00", "close_date": "2018-01-10 15:50:00+00:00", "trade_duration": 65, "open_rate": 3.066e-05, "close_rate": 3.081368421052631e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.5368421052630647e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3261.5786040443577, "profit_abs": -1.3877787807814457e-17}, {"pair": "LTC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 16:35:00+00:00", "close_date": "2018-01-10 17:15:00+00:00", "trade_duration": 40, "open_rate": 0.0168999, "close_rate": 0.016984611278195488, "open_at_end": false, "sell_reason": "roi", "profit": 8.471127819548868e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 5.917194776300452, "profit_abs": 1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 16:40:00+00:00", "close_date": "2018-01-10 17:20:00+00:00", "trade_duration": 40, "open_rate": 0.09132568, "close_rate": 0.0917834528320802, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004577728320801916, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0949822656672252, "profit_abs": 0.0}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 18:50:00+00:00", "close_date": "2018-01-10 19:45:00+00:00", "trade_duration": 55, "open_rate": 0.08898003, "close_rate": 0.08942604518796991, "open_at_end": false, "sell_reason": "roi", "profit": 0.00044601518796991146, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1238476768326557, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 22:15:00+00:00", "close_date": "2018-01-10 23:00:00+00:00", "trade_duration": 45, "open_rate": 0.08560008, "close_rate": 0.08602915308270676, "open_at_end": false, "sell_reason": "roi", "profit": 0.00042907308270676014, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1682232072680307, "profit_abs": 0.0}, {"pair": "ETC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 22:50:00+00:00", "close_date": "2018-01-10 23:20:00+00:00", "trade_duration": 30, "open_rate": 0.00249083, "close_rate": 0.0025282860902255634, "open_at_end": false, "sell_reason": "roi", "profit": 3.745609022556351e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 40.147260150231055, "profit_abs": 0.000999999999999987}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 23:15:00+00:00", "close_date": "2018-01-11 00:15:00+00:00", "trade_duration": 60, "open_rate": 3.022e-05, "close_rate": 3.037147869674185e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.5147869674185174e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3309.0668431502318, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-10 23:40:00+00:00", "close_date": "2018-01-11 00:05:00+00:00", "trade_duration": 25, "open_rate": 0.002437, "close_rate": 0.0024980776942355883, "open_at_end": false, "sell_reason": "roi", "profit": 6.107769423558838e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 41.03405826836274, "profit_abs": 0.001999999999999974}, {"pair": "ZEC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 00:00:00+00:00", "close_date": "2018-01-11 00:35:00+00:00", "trade_duration": 35, "open_rate": 0.04771803, "close_rate": 0.04843559436090225, "open_at_end": false, "sell_reason": "roi", "profit": 0.0007175643609022495, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.0956439316543456, "profit_abs": 0.0010000000000000009}, {"pair": "XLM/BTC", "profit_percent": -0.10448878, "open_date": "2018-01-11 03:40:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 45, "open_rate": 3.651e-05, "close_rate": 3.2859000000000005e-05, "open_at_end": false, "sell_reason": "stop_loss", "profit": -3.650999999999996e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2738.9756231169545, "profit_abs": -0.01047499999999997}, {"pair": "ETH/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 03:55:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 30, "open_rate": 0.08824105, "close_rate": 0.08956798308270676, "open_at_end": false, "sell_reason": "roi", "profit": 0.0013269330827067605, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1332594070446804, "profit_abs": 0.0010000000000000009}, {"pair": "ETC/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 04:00:00+00:00", "close_date": "2018-01-11 04:50:00+00:00", "trade_duration": 50, "open_rate": 0.00243, "close_rate": 0.002442180451127819, "open_at_end": false, "sell_reason": "roi", "profit": 1.2180451127819219e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 41.1522633744856, "profit_abs": -1.3877787807814457e-17}, {"pair": "ZEC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:30:00+00:00", "close_date": "2018-01-11 04:55:00+00:00", "trade_duration": 25, "open_rate": 0.04545064, "close_rate": 0.046589753784461146, "open_at_end": false, "sell_reason": "roi", "profit": 0.001139113784461146, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.200189040242338, "profit_abs": 0.001999999999999988}, {"pair": "XLM/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:30:00+00:00", "close_date": "2018-01-11 04:50:00+00:00", "trade_duration": 20, "open_rate": 3.372e-05, "close_rate": 3.456511278195488e-05, "open_at_end": false, "sell_reason": "roi", "profit": 8.4511278195488e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2965.599051008304, "profit_abs": 0.001999999999999988}, {"pair": "XMR/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:55:00+00:00", "close_date": "2018-01-11 05:15:00+00:00", "trade_duration": 20, "open_rate": 0.02644, "close_rate": 0.02710265664160401, "open_at_end": false, "sell_reason": "roi", "profit": 0.0006626566416040071, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.7821482602118004, "profit_abs": 0.001999999999999988}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 11:20:00+00:00", "close_date": "2018-01-11 12:00:00+00:00", "trade_duration": 40, "open_rate": 0.08812, "close_rate": 0.08856170426065162, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004417042606516125, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1348161597821154, "profit_abs": 0.0}, {"pair": "XMR/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 11:35:00+00:00", "close_date": "2018-01-11 12:15:00+00:00", "trade_duration": 40, "open_rate": 0.02683577, "close_rate": 0.026970285137844607, "open_at_end": false, "sell_reason": "roi", "profit": 0.00013451513784460897, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.7263696923919087, "profit_abs": 0.0}, {"pair": "ADA/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 14:00:00+00:00", "close_date": "2018-01-11 14:25:00+00:00", "trade_duration": 25, "open_rate": 4.919e-05, "close_rate": 5.04228320802005e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.232832080200495e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2032.9335230737956, "profit_abs": 0.0020000000000000018}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 19:25:00+00:00", "close_date": "2018-01-11 20:35:00+00:00", "trade_duration": 70, "open_rate": 0.08784896, "close_rate": 0.08828930566416039, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004403456641603881, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1383174029607181, "profit_abs": -1.3877787807814457e-17}, {"pair": "ADA/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 22:35:00+00:00", "close_date": "2018-01-11 23:30:00+00:00", "trade_duration": 55, "open_rate": 5.105e-05, "close_rate": 5.130588972431077e-05, "open_at_end": false, "sell_reason": "roi", "profit": 2.558897243107704e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1958.8638589618022, "profit_abs": -1.3877787807814457e-17}, {"pair": "XLM/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 22:55:00+00:00", "close_date": "2018-01-11 23:25:00+00:00", "trade_duration": 30, "open_rate": 3.96e-05, "close_rate": 4.019548872180451e-05, "open_at_end": false, "sell_reason": "roi", "profit": 5.954887218045116e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2525.252525252525, "profit_abs": 0.0010000000000000148}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 22:55:00+00:00", "close_date": "2018-01-11 23:35:00+00:00", "trade_duration": 40, "open_rate": 2.885e-05, "close_rate": 2.899461152882205e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.4461152882205115e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3466.204506065858, "profit_abs": -1.3877787807814457e-17}, {"pair": "XMR/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 23:30:00+00:00", "close_date": "2018-01-12 00:05:00+00:00", "trade_duration": 35, "open_rate": 0.02645, "close_rate": 0.026847744360902256, "open_at_end": false, "sell_reason": "roi", "profit": 0.0003977443609022545, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.780718336483932, "profit_abs": 0.0010000000000000148}, {"pair": "ZEC/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 23:55:00+00:00", "close_date": "2018-01-12 01:15:00+00:00", "trade_duration": 80, "open_rate": 0.048, "close_rate": 0.04824060150375939, "open_at_end": false, "sell_reason": "roi", "profit": 0.00024060150375938838, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.0833333333333335, "profit_abs": -1.3877787807814457e-17}, {"pair": "XLM/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-12 21:15:00+00:00", "close_date": "2018-01-12 21:40:00+00:00", "trade_duration": 25, "open_rate": 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"profit_total_pct": -2.625725, "duration_avg": "3 days, 4:00:00", "wins": 0, "draws": 0, "losses": 1}, {"key": "ZEC/BTC", "trades": 1, "profit_mean": -0.04815133, "profit_mean_pct": -4.815133, "profit_sum": -0.04815133, "profit_sum_pct": -4.815133, "profit_total_abs": -0.004827170578309559, "profit_total_pct": -1.6050443333333335, "duration_avg": "2 days, 19:00:00", "wins": 0, "draws": 0, "losses": 1}, {"key": "TOTAL", "trades": 3, "profit_mean": -0.04894489333333333, "profit_mean_pct": -4.894489333333333, "profit_sum": -0.14683468, "profit_sum_pct": -14.683468, "profit_total_abs": -0.014720177176734003, "profit_total_pct": -4.8944893333333335, "duration_avg": "2 days, 1:25:00", "wins": 0, "draws": 0, "losses": 3}], "total_trades": 179, "backtest_start": "2018-01-30 04:45:00+00:00", "backtest_start_ts": 1517287500, "backtest_end": "2018-01-30 04:45:00+00:00", "backtest_end_ts": 1517287500, "backtest_days": 0, "trades_per_day": null, "market_change": 0.25, "stake_amount": 0.1, "max_drawdown": 0.21142322000000008, "drawdown_start": "2018-01-24 14:25:00+00:00", "drawdown_start_ts": 1516803900.0, "drawdown_end": "2018-01-30 04:45:00+00:00", "drawdown_end_ts": 1517287500.0}}, "strategy_comparison": [{"key": "DefaultStrategy", "trades": 179, "profit_mean": 0.0008041243575418989, "profit_mean_pct": 0.0804124357541899, "profit_sum": 0.1439382599999999, "profit_sum_pct": 14.39382599999999, "profit_total_abs": 0.014429822823265714, "profit_total_pct": 4.797941999999996, "duration_avg": "3:40:00", "wins": 73, "draws": 54, "losses": 52}]} From 5b1a7ba00f8d9dbde687ba5f26ebfec3c420f38f Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 27 Jun 2020 15:59:22 +0200 Subject: [PATCH 060/244] Test multistrat loading --- tests/data/test_btanalysis.py | 27 ++++++++++++++++++- .../testdata/backtest-result_multistrat.json | 2 +- 2 files changed, 27 insertions(+), 2 deletions(-) diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index 9ae67ed58..63fe26eaa 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -32,8 +32,10 @@ def test_get_latest_backtest_filename(testdatadir, mocker): res = get_latest_backtest_filename(testdatadir) assert res == 'backtest-result_new.json' - mocker.patch("freqtrade.data.btanalysis.json_load", return_value={}) + res = get_latest_backtest_filename(str(testdatadir)) + assert res == 'backtest-result_new.json' + mocker.patch("freqtrade.data.btanalysis.json_load", return_value={}) with pytest.raises(ValueError, match=r"Invalid '.last_result.json' format."): get_latest_backtest_filename(testdatadir) @@ -70,6 +72,29 @@ def test_load_backtest_data_new_format(testdatadir): with pytest.raises(ValueError, match=r"File .* does not exist\."): load_backtest_data(str("filename") + "nofile") + with pytest.raises(ValueError, match=r"Unknown dataformat."): + load_backtest_data(testdatadir / '.last_result.json') + + +def test_load_backtest_data_multi(testdatadir): + + filename = testdatadir / "backtest-result_multistrat.json" + for strategy in ('DefaultStrategy', 'TestStrategy'): + bt_data = load_backtest_data(filename, strategy=strategy) + assert isinstance(bt_data, DataFrame) + assert set(bt_data.columns) == set(list(BacktestResult._fields) + ["profit_abs"]) + assert len(bt_data) == 179 + + # Test loading from string (must yield same result) + bt_data2 = load_backtest_data(str(filename), strategy=strategy) + assert bt_data.equals(bt_data2) + + with pytest.raises(ValueError, match=r"Strategy XYZ not available in the backtest result\."): + load_backtest_data(filename, strategy='XYZ') + + with pytest.raises(ValueError, match=r"Detected backtest result with more than one strategy.*"): + load_backtest_data(filename) + @pytest.mark.usefixtures("init_persistence") def test_load_trades_from_db(default_conf, fee, mocker): diff --git a/tests/testdata/backtest-result_multistrat.json b/tests/testdata/backtest-result_multistrat.json index a58ab28cb..88f021cb8 100644 --- a/tests/testdata/backtest-result_multistrat.json +++ b/tests/testdata/backtest-result_multistrat.json @@ -1 +1 @@ -{"strategy": {"DefaultStrategy": {"trades": [{"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:20:00+00:00", "trade_duration": 5, "open_rate": 9.64e-05, "close_rate": 0.00010074887218045112, "open_at_end": false, "sell_reason": "roi", "profit": 4.348872180451118e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1037.344398340249, "profit_abs": 0.00399999999999999}, {"pair": "ADA/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:30:00+00:00", "trade_duration": 15, "open_rate": 4.756e-05, "close_rate": 4.9705563909774425e-05, "open_at_end": false, "sell_reason": "roi", "profit": 2.1455639097744267e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2102.6072329688814, "profit_abs": 0.00399999999999999}, {"pair": "XLM/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:35:00+00:00", "trade_duration": 10, "open_rate": 3.339e-05, "close_rate": 3.489631578947368e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.506315789473681e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2994.908655286014, "profit_abs": 0.0040000000000000036}, {"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:40:00+00:00", "trade_duration": 15, "open_rate": 9.696e-05, "close_rate": 0.00010133413533834584, "open_at_end": false, "sell_reason": "roi", "profit": 4.3741353383458455e-06, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1031.3531353135315, "profit_abs": 0.00399999999999999}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 07:35:00+00:00", "close_date": "2018-01-10 08:35:00+00:00", "trade_duration": 60, "open_rate": 0.0943, "close_rate": 0.09477268170426063, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004726817042606385, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0604453870625663, "profit_abs": 0.0}, {"pair": "XMR/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 07:40:00+00:00", "close_date": "2018-01-10 08:10:00+00:00", "trade_duration": 30, "open_rate": 0.02719607, "close_rate": 0.02760503345864661, "open_at_end": false, "sell_reason": "roi", "profit": 0.00040896345864661204, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.677001860930642, "profit_abs": 0.0010000000000000009}, {"pair": "ZEC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 08:15:00+00:00", "close_date": "2018-01-10 09:55:00+00:00", "trade_duration": 100, "open_rate": 0.04634952, "close_rate": 0.046581848421052625, "open_at_end": false, "sell_reason": "roi", "profit": 0.0002323284210526272, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.1575196463739, "profit_abs": 0.0}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 14:45:00+00:00", "close_date": "2018-01-10 15:50:00+00:00", "trade_duration": 65, "open_rate": 3.066e-05, "close_rate": 3.081368421052631e-05, "open_at_end": false, "sell_reason": "roi", "profit": 1.5368421052630647e-07, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3261.5786040443577, "profit_abs": -1.3877787807814457e-17}, {"pair": "LTC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 16:35:00+00:00", "close_date": "2018-01-10 17:15:00+00:00", "trade_duration": 40, "open_rate": 0.0168999, "close_rate": 0.016984611278195488, "open_at_end": false, "sell_reason": "roi", "profit": 8.471127819548868e-05, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 5.917194776300452, "profit_abs": 1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 16:40:00+00:00", "close_date": "2018-01-10 17:20:00+00:00", "trade_duration": 40, "open_rate": 0.09132568, "close_rate": 0.0917834528320802, "open_at_end": false, "sell_reason": "roi", "profit": 0.0004577728320801916, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0949822656672252, "profit_abs": 0.0}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 18:50:00+00:00", "close_date": "2018-01-10 19:45:00+00:00", "trade_duration": 55, "open_rate": 0.08898003, "close_rate": 0.08942604518796991, "open_at_end": false, "sell_reason": "roi", "profit": 0.00044601518796991146, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1238476768326557, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 22:15:00+00:00", "close_date": "2018-01-10 23:00:00+00:00", "trade_duration": 45, "open_rate": 0.08560008, "close_rate": 0.08602915308270676, "open_at_end": false, "sell_reason": "roi", "profit": 0.00042907308270676014, "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1682232072680307, "profit_abs": 0.0}, {"pair": "ETC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 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-1.9911600000000003, "profit_sum": -0.0199116, "profit_sum_pct": -1.9911600000000003, "profit_total_abs": -0.0019961383478844796, "profit_total_pct": -0.6637200000000001, "duration_avg": "5:15:00", "wins": 0, "draws": 0, "losses": 1}, {"key": "ADA/BTC", "trades": 1, "profit_mean": -0.07877175, "profit_mean_pct": -7.877175, "profit_sum": -0.07877175, "profit_sum_pct": -7.877175, "profit_total_abs": -0.007896868250539965, "profit_total_pct": -2.625725, "duration_avg": "3 days, 4:00:00", "wins": 0, "draws": 0, "losses": 1}, {"key": "ZEC/BTC", "trades": 1, "profit_mean": -0.04815133, "profit_mean_pct": -4.815133, "profit_sum": -0.04815133, "profit_sum_pct": -4.815133, "profit_total_abs": -0.004827170578309559, "profit_total_pct": -1.6050443333333335, "duration_avg": "2 days, 19:00:00", "wins": 0, "draws": 0, "losses": 1}, {"key": "TOTAL", "trades": 3, "profit_mean": -0.04894489333333333, "profit_mean_pct": -4.894489333333333, "profit_sum": -0.14683468, "profit_sum_pct": -14.683468, "profit_total_abs": -0.014720177176734003, "profit_total_pct": -4.8944893333333335, "duration_avg": "2 days, 1:25:00", "wins": 0, "draws": 0, "losses": 3}], "total_trades": 179, "backtest_start": "2018-01-30 04:45:00+00:00", "backtest_start_ts": 1517287500, "backtest_end": "2018-01-30 04:45:00+00:00", "backtest_end_ts": 1517287500, "backtest_days": 0, "trades_per_day": null, "market_change": 0.25, "stake_amount": 0.1, "max_drawdown": 0.21142322000000008, "drawdown_start": "2018-01-24 14:25:00+00:00", "drawdown_start_ts": 1516803900.0, "drawdown_end": "2018-01-30 04:45:00+00:00", "drawdown_end_ts": 1517287500.0}}, "strategy_comparison": [{"key": "DefaultStrategy", "trades": 179, "profit_mean": 0.0008041243575418989, "profit_mean_pct": 0.0804124357541899, "profit_sum": 0.1439382599999999, "profit_sum_pct": 14.39382599999999, "profit_total_abs": 0.014429822823265714, "profit_total_pct": 4.797941999999996, "duration_avg": "3:40:00", "wins": 73, "draws": 54, "losses": 52}, {"key": "TestStrategy", "trades": 179, "profit_mean": 0.0008041243575418989, "profit_mean_pct": 0.0804124357541899, "profit_sum": 0.1439382599999999, "profit_sum_pct": 14.39382599999999, "profit_total_abs": 0.014429822823265714, "profit_total_pct": 4.797941999999996, "duration_avg": "3:40:00", "wins": 73, "draws": 54, "losses": 52}]} \ No newline at end of file From 59ac4b9c9a2d0568252c82f8b48c833cb76bfd9e Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 27 Jun 2020 19:48:45 +0200 Subject: [PATCH 061/244] Test writing statistics --- tests/data/test_history.py | 2 +- tests/optimize/test_optimize_reports.py | 27 +++++++++++++++++++++++++ 2 files changed, 28 insertions(+), 1 deletion(-) diff --git a/tests/data/test_history.py b/tests/data/test_history.py index c2eb2d715..8b3a3c568 100644 --- a/tests/data/test_history.py +++ b/tests/data/test_history.py @@ -36,7 +36,7 @@ def _backup_file(file: Path, copy_file: bool = False) -> None: """ Backup existing file to avoid deleting the user file :param file: complete path to the file - :param touch_file: create an empty file in replacement + :param copy_file: keep file in place too. :return: None """ file_swp = str(file) + '.swp' diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index c46b96ab2..690847adc 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -2,23 +2,27 @@ from datetime import datetime from pathlib import Path import pandas as pd +import re import pytest from arrow import Arrow from freqtrade.configuration import TimeRange from freqtrade.data import history from freqtrade.edge import PairInfo +from freqtrade.data.btanalysis import get_latest_backtest_filename from freqtrade.optimize.optimize_reports import (generate_backtest_stats, generate_edge_table, generate_pair_metrics, generate_sell_reason_stats, generate_strategy_metrics, store_backtest_result, + store_backtest_stats, text_table_bt_results, text_table_sell_reason, text_table_strategy) from freqtrade.strategy.interface import SellType from tests.conftest import patch_exchange +from tests.data.test_history import _backup_file, _clean_test_file def test_text_table_bt_results(default_conf, mocker): @@ -115,6 +119,29 @@ def test_generate_backtest_stats(default_conf, testdatadir): assert strat_stats['drawdown_end_ts'] == 0 assert strat_stats['drawdown_start_ts'] == 0 + # Test storing stats + filename = Path(testdatadir / 'btresult.json') + filename_last = Path(testdatadir / '.last_result.json') + _backup_file(filename_last, copy_file=True) + assert not filename.is_file() + + store_backtest_stats(filename, stats) + + # get real Filename (it's btresult-.json) + last_fn = get_latest_backtest_filename(filename_last.parent) + assert re.match(r"btresult-.*\.json", last_fn) + + filename1 = (testdatadir / last_fn) + assert filename1.is_file() + content = filename1.read_text() + assert 'max_drawdown' in content + assert 'strategy' in content + + assert filename_last.is_file() + + _clean_test_file(filename_last) + filename1.unlink() + def test_generate_pair_metrics(default_conf, mocker): From 59e0ca0aaab0543933d8bcd0961a62bb37db8916 Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 28 Jun 2020 09:04:19 +0200 Subject: [PATCH 062/244] Add pairlist to backtest-result --- freqtrade/optimize/optimize_reports.py | 1 + tests/optimize/test_optimize_reports.py | 2 ++ tests/testdata/backtest-result_multistrat.json | 2 +- tests/testdata/backtest-result_new.json | 2 +- 4 files changed, 5 insertions(+), 2 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 6f9d3f34e..b93e60dca 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -250,6 +250,7 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], 'backtest_days': backtest_days, 'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else None, 'market_change': market_change, + 'pairlist': list(btdata.keys()), 'stake_amount': config['stake_amount'] } result['strategy'][strategy] = strat_stats diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index 690847adc..f908677d7 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -118,6 +118,7 @@ def test_generate_backtest_stats(default_conf, testdatadir): assert strat_stats['drawdown_end'] == Arrow.fromtimestamp(0).datetime assert strat_stats['drawdown_end_ts'] == 0 assert strat_stats['drawdown_start_ts'] == 0 + assert strat_stats['pairlist'] == ['UNITTEST/BTC'] # Test storing stats filename = Path(testdatadir / 'btresult.json') @@ -136,6 +137,7 @@ def test_generate_backtest_stats(default_conf, testdatadir): content = filename1.read_text() assert 'max_drawdown' in content assert 'strategy' in content + assert 'pairlist' in content assert filename_last.is_file() diff --git a/tests/testdata/backtest-result_multistrat.json b/tests/testdata/backtest-result_multistrat.json index 88f021cb8..0e5386ef3 100644 --- a/tests/testdata/backtest-result_multistrat.json +++ b/tests/testdata/backtest-result_multistrat.json @@ -1 +1 @@ -{"strategy": {"DefaultStrategy": {"trades": [{"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:20:00+00:00", "trade_duration": 5, "open_rate": 9.64e-05, "close_rate": 0.00010074887218045112, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1037.344398340249, "profit_abs": 0.00399999999999999}, {"pair": "ADA/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:15:00+00:00", "close_date": "2018-01-10 07:30:00+00:00", "trade_duration": 15, "open_rate": 4.756e-05, "close_rate": 4.9705563909774425e-05, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2102.6072329688814, "profit_abs": 0.00399999999999999}, {"pair": "XLM/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:35:00+00:00", "trade_duration": 10, "open_rate": 3.339e-05, "close_rate": 3.489631578947368e-05, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2994.908655286014, "profit_abs": 0.0040000000000000036}, {"pair": "TRX/BTC", "profit_percent": 0.03990025, "open_date": "2018-01-10 07:25:00+00:00", "close_date": "2018-01-10 07:40:00+00:00", "trade_duration": 15, "open_rate": 9.696e-05, "close_rate": 0.00010133413533834584, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1031.3531353135315, "profit_abs": 0.00399999999999999}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 07:35:00+00:00", "close_date": "2018-01-10 08:35:00+00:00", "trade_duration": 60, "open_rate": 0.0943, "close_rate": 0.09477268170426063, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0604453870625663, "profit_abs": 0.0}, {"pair": "XMR/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 07:40:00+00:00", "close_date": "2018-01-10 08:10:00+00:00", "trade_duration": 30, "open_rate": 0.02719607, "close_rate": 0.02760503345864661, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3.677001860930642, "profit_abs": 0.0010000000000000009}, {"pair": "ZEC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 08:15:00+00:00", "close_date": "2018-01-10 09:55:00+00:00", "trade_duration": 100, "open_rate": 0.04634952, "close_rate": 0.046581848421052625, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.1575196463739, "profit_abs": 0.0}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 14:45:00+00:00", "close_date": "2018-01-10 15:50:00+00:00", "trade_duration": 65, "open_rate": 3.066e-05, "close_rate": 3.081368421052631e-05, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3261.5786040443577, "profit_abs": -1.3877787807814457e-17}, {"pair": "LTC/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 16:35:00+00:00", "close_date": "2018-01-10 17:15:00+00:00", "trade_duration": 40, "open_rate": 0.0168999, "close_rate": 0.016984611278195488, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 5.917194776300452, "profit_abs": 1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 16:40:00+00:00", "close_date": "2018-01-10 17:20:00+00:00", "trade_duration": 40, "open_rate": 0.09132568, "close_rate": 0.0917834528320802, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.0949822656672252, "profit_abs": 0.0}, {"pair": "ETH/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 18:50:00+00:00", "close_date": "2018-01-10 19:45:00+00:00", "trade_duration": 55, "open_rate": 0.08898003, "close_rate": 0.08942604518796991, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1238476768326557, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETH/BTC", "profit_percent": 0.0, "open_date": "2018-01-10 22:15:00+00:00", "close_date": "2018-01-10 23:00:00+00:00", "trade_duration": 45, "open_rate": 0.08560008, "close_rate": 0.08602915308270676, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1682232072680307, "profit_abs": 0.0}, {"pair": "ETC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-10 22:50:00+00:00", "close_date": "2018-01-10 23:20:00+00:00", "trade_duration": 30, "open_rate": 0.00249083, "close_rate": 0.0025282860902255634, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 40.147260150231055, "profit_abs": 0.000999999999999987}, {"pair": "NXT/BTC", "profit_percent": -0.0, "open_date": "2018-01-10 23:15:00+00:00", "close_date": "2018-01-11 00:15:00+00:00", "trade_duration": 60, "open_rate": 3.022e-05, "close_rate": 3.037147869674185e-05, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 3309.0668431502318, "profit_abs": -1.3877787807814457e-17}, {"pair": "ETC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-10 23:40:00+00:00", "close_date": "2018-01-11 00:05:00+00:00", "trade_duration": 25, "open_rate": 0.002437, "close_rate": 0.0024980776942355883, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 41.03405826836274, "profit_abs": 0.001999999999999974}, {"pair": "ZEC/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 00:00:00+00:00", "close_date": "2018-01-11 00:35:00+00:00", "trade_duration": 35, "open_rate": 0.04771803, "close_rate": 0.04843559436090225, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.0956439316543456, "profit_abs": 0.0010000000000000009}, {"pair": "XLM/BTC", "profit_percent": -0.10448878, "open_date": "2018-01-11 03:40:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 45, "open_rate": 3.651e-05, "close_rate": 3.2859000000000005e-05, "open_at_end": false, "sell_reason": "stop_loss", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2738.9756231169545, "profit_abs": -0.01047499999999997}, {"pair": "ETH/BTC", "profit_percent": 0.00997506, "open_date": "2018-01-11 03:55:00+00:00", "close_date": "2018-01-11 04:25:00+00:00", "trade_duration": 30, "open_rate": 0.08824105, "close_rate": 0.08956798308270676, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 1.1332594070446804, "profit_abs": 0.0010000000000000009}, {"pair": "ETC/BTC", "profit_percent": -0.0, "open_date": "2018-01-11 04:00:00+00:00", "close_date": "2018-01-11 04:50:00+00:00", "trade_duration": 50, "open_rate": 0.00243, "close_rate": 0.002442180451127819, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 41.1522633744856, "profit_abs": -1.3877787807814457e-17}, {"pair": "ZEC/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:30:00+00:00", "close_date": "2018-01-11 04:55:00+00:00", "trade_duration": 25, "open_rate": 0.04545064, "close_rate": 0.046589753784461146, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2.200189040242338, "profit_abs": 0.001999999999999988}, {"pair": "XLM/BTC", "profit_percent": 0.01995012, "open_date": "2018-01-11 04:30:00+00:00", "close_date": "2018-01-11 04:50:00+00:00", "trade_duration": 20, "open_rate": 3.372e-05, "close_rate": 3.456511278195488e-05, "open_at_end": false, "sell_reason": "roi", "open_fee": 0.0025, "close_fee": 0.0025, "amount": 2965.599051008304, "profit_abs": 0.001999999999999988}, {"pair": "XMR/BTC", 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"duration_avg": "3:40:00", "wins": 73, "draws": 54, "losses": 52}], "sell_reason_summary": [{"sell_reason": "roi", "trades": 170, "wins": 73, "draws": 54, "losses": 43, "profit_mean": 0.005398268352941177, "profit_mean_pct": 0.54, "profit_sum": 0.91770562, "profit_sum_pct": 91.77, "profit_total_abs": 0.09199999999999964, "profit_pct_total": 30.59}, {"sell_reason": "stop_loss", "trades": 6, "wins": 0, "draws": 0, "losses": 6, "profit_mean": -0.10448878000000002, "profit_mean_pct": -10.45, "profit_sum": -0.6269326800000001, "profit_sum_pct": -62.69, "profit_total_abs": -0.06284999999999992, "profit_pct_total": -20.9}, {"sell_reason": "force_sell", "trades": 3, "wins": 0, "draws": 0, "losses": 3, "profit_mean": -0.04894489333333333, "profit_mean_pct": -4.89, "profit_sum": -0.14683468, "profit_sum_pct": -14.68, "profit_total_abs": -0.014720177176734003, "profit_pct_total": -4.89}], "left_open_trades": [{"key": "TRX/BTC", "trades": 1, "profit_mean": -0.0199116, "profit_mean_pct": -1.9911600000000003, "profit_sum": -0.0199116, "profit_sum_pct": -1.9911600000000003, "profit_total_abs": -0.0019961383478844796, "profit_total_pct": -0.6637200000000001, "duration_avg": "5:15:00", "wins": 0, "draws": 0, "losses": 1}, {"key": "ADA/BTC", "trades": 1, "profit_mean": -0.07877175, "profit_mean_pct": -7.877175, "profit_sum": -0.07877175, "profit_sum_pct": -7.877175, "profit_total_abs": -0.007896868250539965, "profit_total_pct": -2.625725, "duration_avg": "3 days, 4:00:00", "wins": 0, "draws": 0, "losses": 1}, {"key": "ZEC/BTC", "trades": 1, "profit_mean": -0.04815133, "profit_mean_pct": -4.815133, "profit_sum": -0.04815133, "profit_sum_pct": -4.815133, "profit_total_abs": -0.004827170578309559, "profit_total_pct": -1.6050443333333335, "duration_avg": "2 days, 19:00:00", "wins": 0, "draws": 0, "losses": 1}, {"key": "TOTAL", "trades": 3, "profit_mean": -0.04894489333333333, "profit_mean_pct": -4.894489333333333, "profit_sum": -0.14683468, "profit_sum_pct": -14.683468, "profit_total_abs": -0.014720177176734003, "profit_total_pct": -4.8944893333333335, "duration_avg": "2 days, 1:25:00", "wins": 0, "draws": 0, "losses": 3}], "total_trades": 179, "backtest_start": "2018-01-30 04:45:00+00:00", "backtest_start_ts": 1517287500, "backtest_end": "2018-01-30 04:45:00+00:00", "backtest_end_ts": 1517287500, "backtest_days": 0, "trades_per_day": null, "market_change": 0.25, "stake_amount": 0.1, "max_drawdown": 0.21142322000000008, "drawdown_start": "2018-01-24 14:25:00+00:00", "drawdown_start_ts": 1516803900.0, "drawdown_end": "2018-01-30 04:45:00+00:00", "drawdown_end_ts": 1517287500.0, "pairlist": ["TRX/BTC", "ADA/BTC", "XLM/BTC", "ETH/BTC", "XMR/BTC", "ZEC/BTC","NXT/BTC", "LTC/BTC", "ETC/BTC", "DASH/BTC"]}}, "strategy_comparison": [{"key": "DefaultStrategy", "trades": 179, "profit_mean": 0.0008041243575418989, "profit_mean_pct": 0.0804124357541899, "profit_sum": 0.1439382599999999, "profit_sum_pct": 14.39382599999999, "profit_total_abs": 0.014429822823265714, "profit_total_pct": 4.797941999999996, "duration_avg": "3:40:00", "wins": 73, "draws": 54, "losses": 52}]} From 2ed808da1f4f45342a0a8fd41b158fb7b0e26b0d Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 28 Jun 2020 09:27:19 +0200 Subject: [PATCH 063/244] Extract .last_result.json to constant --- freqtrade/constants.py | 2 ++ freqtrade/data/btanalysis.py | 5 +-- freqtrade/optimize/optimize_reports.py | 5 ++- tests/data/test_btanalysis.py | 3 +- tests/optimize/test_optimize_reports.py | 46 ++++++++++++------------- 5 files changed, 32 insertions(+), 29 deletions(-) diff --git a/freqtrade/constants.py b/freqtrade/constants.py index ccb05a60f..1b414adb4 100644 --- a/freqtrade/constants.py +++ b/freqtrade/constants.py @@ -33,6 +33,8 @@ DEFAULT_DATAFRAME_COLUMNS = ['date', 'open', 'high', 'low', 'close', 'volume'] # it has wide consequences for stored trades files DEFAULT_TRADES_COLUMNS = ['timestamp', 'id', 'type', 'side', 'price', 'amount', 'cost'] +LAST_BT_RESULT_FN = '.last_result.json' + USERPATH_HYPEROPTS = 'hyperopts' USERPATH_STRATEGIES = 'strategies' USERPATH_NOTEBOOKS = 'notebooks' diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 17d3fed14..0ae1809f3 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -10,6 +10,7 @@ import pandas as pd from datetime import timezone from freqtrade import persistence +from freqtrade.constants import LAST_BT_RESULT_FN from freqtrade.misc import json_load from freqtrade.persistence import Trade @@ -34,7 +35,7 @@ def get_latest_backtest_filename(directory: Union[Path, str]) -> str: directory = Path(directory) if not directory.is_dir(): raise ValueError(f"Directory '{directory}' does not exist.") - filename = directory / '.last_result.json' + filename = directory / LAST_BT_RESULT_FN if not filename.is_file(): raise ValueError(f"Directory '{directory}' does not seem to contain backtest statistics yet.") @@ -43,7 +44,7 @@ def get_latest_backtest_filename(directory: Union[Path, str]) -> str: data = json_load(file) if 'latest_backtest' not in data: - raise ValueError("Invalid '.last_result.json' format.") + raise ValueError(f"Invalid '{LAST_BT_RESULT_FN}' format.") return data['latest_backtest'] diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index b93e60dca..d1c45bd94 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -7,7 +7,7 @@ from arrow import Arrow from pandas import DataFrame from tabulate import tabulate -from freqtrade.constants import DATETIME_PRINT_FORMAT +from freqtrade.constants import DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN from freqtrade.data.btanalysis import calculate_max_drawdown, calculate_market_change from freqtrade.misc import file_dump_json @@ -21,8 +21,7 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N ).with_suffix(recordfilename.suffix) file_dump_json(filename, stats) - latest_filename = Path.joinpath(recordfilename.parent, - '.last_result.json') + latest_filename = Path.joinpath(recordfilename.parent, LAST_BT_RESULT_FN) file_dump_json(latest_filename, {'latest_backtest': str(filename.name)}) diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index 63fe26eaa..144dc5162 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -6,6 +6,7 @@ from arrow import Arrow from pandas import DataFrame, DateOffset, Timestamp, to_datetime from freqtrade.configuration import TimeRange +from freqtrade.constants import LAST_BT_RESULT_FN from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, analyze_trade_parallelism, calculate_market_change, @@ -73,7 +74,7 @@ def test_load_backtest_data_new_format(testdatadir): load_backtest_data(str("filename") + "nofile") with pytest.raises(ValueError, match=r"Unknown dataformat."): - load_backtest_data(testdatadir / '.last_result.json') + load_backtest_data(testdatadir / LAST_BT_RESULT_FN) def test_load_backtest_data_multi(testdatadir): diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index f908677d7..2431fa716 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -1,15 +1,15 @@ -from datetime import datetime +import re from pathlib import Path import pandas as pd -import re import pytest from arrow import Arrow from freqtrade.configuration import TimeRange +from freqtrade.constants import LAST_BT_RESULT_FN from freqtrade.data import history -from freqtrade.edge import PairInfo from freqtrade.data.btanalysis import get_latest_backtest_filename +from freqtrade.edge import PairInfo from freqtrade.optimize.optimize_reports import (generate_backtest_stats, generate_edge_table, generate_pair_metrics, @@ -93,25 +93,25 @@ def test_generate_backtest_stats(default_conf, testdatadir): # Above sample had no loosing trade assert strat_stats['max_drawdown'] == 0.0 - results = {'DefStrat': pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC", - "UNITTEST/BTC", "UNITTEST/BTC"], - "profit_percent": [0.003312, 0.010801, -0.013803, 0.002780], - "profit_abs": [0.000003, 0.000011, -0.000014, 0.000003], - "open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime, - Arrow(2017, 11, 14, 21, 36, 00).datetime, - Arrow(2017, 11, 14, 22, 12, 00).datetime, - Arrow(2017, 11, 14, 22, 44, 00).datetime], - "close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime, - Arrow(2017, 11, 14, 22, 10, 00).datetime, - Arrow(2017, 11, 14, 22, 43, 00).datetime, - Arrow(2017, 11, 14, 22, 58, 00).datetime], - "open_rate": [0.002543, 0.003003, 0.003089, 0.003214], - "close_rate": [0.002546, 0.003014, 0.0032903, 0.003217], - "trade_duration": [123, 34, 31, 14], - "open_at_end": [False, False, False, True], - "sell_reason": [SellType.ROI, SellType.STOP_LOSS, - SellType.ROI, SellType.FORCE_SELL] - })} + results = {'DefStrat': pd.DataFrame( + {"pair": ["UNITTEST/BTC", "UNITTEST/BTC", "UNITTEST/BTC", "UNITTEST/BTC"], + "profit_percent": [0.003312, 0.010801, -0.013803, 0.002780], + "profit_abs": [0.000003, 0.000011, -0.000014, 0.000003], + "open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime, + Arrow(2017, 11, 14, 21, 36, 00).datetime, + Arrow(2017, 11, 14, 22, 12, 00).datetime, + Arrow(2017, 11, 14, 22, 44, 00).datetime], + "close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime, + Arrow(2017, 11, 14, 22, 10, 00).datetime, + Arrow(2017, 11, 14, 22, 43, 00).datetime, + Arrow(2017, 11, 14, 22, 58, 00).datetime], + "open_rate": [0.002543, 0.003003, 0.003089, 0.003214], + "close_rate": [0.002546, 0.003014, 0.0032903, 0.003217], + "trade_duration": [123, 34, 31, 14], + "open_at_end": [False, False, False, True], + "sell_reason": [SellType.ROI, SellType.STOP_LOSS, + SellType.ROI, SellType.FORCE_SELL] + })} assert strat_stats['max_drawdown'] == 0.0 assert strat_stats['drawdown_start'] == Arrow.fromtimestamp(0).datetime @@ -122,7 +122,7 @@ def test_generate_backtest_stats(default_conf, testdatadir): # Test storing stats filename = Path(testdatadir / 'btresult.json') - filename_last = Path(testdatadir / '.last_result.json') + filename_last = Path(testdatadir / LAST_BT_RESULT_FN) _backup_file(filename_last, copy_file=True) assert not filename.is_file() From 7c5587aeaafb0948e507d34cac6914a89b09af0e Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 28 Jun 2020 09:45:23 +0200 Subject: [PATCH 064/244] exportfilename can be a file or directory --- freqtrade/configuration/configuration.py | 2 +- freqtrade/data/btanalysis.py | 7 +++++-- freqtrade/optimize/optimize_reports.py | 13 +++++++++---- 3 files changed, 15 insertions(+), 7 deletions(-) diff --git a/freqtrade/configuration/configuration.py b/freqtrade/configuration/configuration.py index 139e42084..bbd6ce747 100644 --- a/freqtrade/configuration/configuration.py +++ b/freqtrade/configuration/configuration.py @@ -199,7 +199,7 @@ class Configuration: config['exportfilename'] = Path(config['exportfilename']) else: config['exportfilename'] = (config['user_data_dir'] - / 'backtest_results/backtest-result.json') + / 'backtest_results') def _process_optimize_options(self, config: Dict[str, Any]) -> None: diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 0ae1809f3..07834d729 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -38,7 +38,8 @@ def get_latest_backtest_filename(directory: Union[Path, str]) -> str: filename = directory / LAST_BT_RESULT_FN if not filename.is_file(): - raise ValueError(f"Directory '{directory}' does not seem to contain backtest statistics yet.") + raise ValueError( + f"Directory '{directory}' does not seem to contain backtest statistics yet.") with filename.open() as file: data = json_load(file) @@ -57,9 +58,11 @@ def load_backtest_stats(filename: Union[Path, str]) -> Dict[str, Any]: """ if isinstance(filename, str): filename = Path(filename) + if filename.is_dir(): + filename = get_latest_backtest_filename(filename) if not filename.is_file(): raise ValueError(f"File {filename} does not exist.") - + logger.info(f"Loading backtest result from {filename}") with filename.open() as file: data = json_load(file) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index d1c45bd94..d0e29d98f 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -16,12 +16,17 @@ logger = logging.getLogger(__name__) def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> None: - filename = Path.joinpath(recordfilename.parent, - f'{recordfilename.stem}-{datetime.now().isoformat()}' - ).with_suffix(recordfilename.suffix) + if recordfilename.is_dir(): + filename = recordfilename / \ + f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}.json' + else: + filename = Path.joinpath( + recordfilename.parent, + f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}' + ).with_suffix(recordfilename.suffix) file_dump_json(filename, stats) - latest_filename = Path.joinpath(recordfilename.parent, LAST_BT_RESULT_FN) + latest_filename = Path.joinpath(filename.parent, LAST_BT_RESULT_FN) file_dump_json(latest_filename, {'latest_backtest': str(filename.name)}) From d999fa2a7e82b3e1fb1c9e0da9b726379f1dc52d Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 28 Jun 2020 09:51:49 +0200 Subject: [PATCH 065/244] Test autogetting result filename --- freqtrade/data/btanalysis.py | 2 +- tests/data/test_btanalysis.py | 4 ++++ 2 files changed, 5 insertions(+), 1 deletion(-) diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 07834d729..6931b1685 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -59,7 +59,7 @@ def load_backtest_stats(filename: Union[Path, str]) -> Dict[str, Any]: if isinstance(filename, str): filename = Path(filename) if filename.is_dir(): - filename = get_latest_backtest_filename(filename) + filename = filename / get_latest_backtest_filename(filename) if not filename.is_file(): raise ValueError(f"File {filename} does not exist.") logger.info(f"Loading backtest result from {filename}") diff --git a/tests/data/test_btanalysis.py b/tests/data/test_btanalysis.py index 144dc5162..5e44b7d87 100644 --- a/tests/data/test_btanalysis.py +++ b/tests/data/test_btanalysis.py @@ -70,6 +70,10 @@ def test_load_backtest_data_new_format(testdatadir): bt_data2 = load_backtest_data(str(filename)) assert bt_data.equals(bt_data2) + # Test loading from folder (must yield same result) + bt_data3 = load_backtest_data(testdatadir) + assert bt_data.equals(bt_data3) + with pytest.raises(ValueError, match=r"File .* does not exist\."): load_backtest_data(str("filename") + "nofile") From 16a842f9f60f1c916d77a243e2f2e169dc0611fc Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 28 Jun 2020 10:17:08 +0200 Subject: [PATCH 066/244] Have plotting support folder-based exportfilename --- freqtrade/plot/plotting.py | 14 +++++++++----- 1 file changed, 9 insertions(+), 5 deletions(-) diff --git a/freqtrade/plot/plotting.py b/freqtrade/plot/plotting.py index eee338a42..16afaec3b 100644 --- a/freqtrade/plot/plotting.py +++ b/freqtrade/plot/plotting.py @@ -8,7 +8,9 @@ from freqtrade.configuration import TimeRange from freqtrade.data.btanalysis import (calculate_max_drawdown, combine_dataframes_with_mean, create_cum_profit, - extract_trades_of_period, load_trades) + extract_trades_of_period, + get_latest_backtest_filename, + load_trades) from freqtrade.data.converter import trim_dataframe from freqtrade.data.history import load_data from freqtrade.exceptions import OperationalException @@ -51,16 +53,18 @@ def init_plotscript(config): ) no_trades = False + filename = config.get('exportfilename') if config.get('no_trades', False): no_trades = True - elif not config['exportfilename'].is_file() and config['trade_source'] == 'file': - logger.warning("Backtest file is missing skipping trades.") - no_trades = True + elif config['trade_source'] == 'file': + if not filename.is_dir() and not filename.is_file(): + logger.warning("Backtest file is missing skipping trades.") + no_trades = True trades = load_trades( config['trade_source'], db_url=config.get('db_url'), - exportfilename=config.get('exportfilename'), + exportfilename=filename, no_trades=no_trades ) trades = trim_dataframe(trades, timerange, 'open_date') From 619eb183fe2454bce969760129385e142946ec4e Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 06:58:06 +0200 Subject: [PATCH 067/244] Allow strategy for plot-profit to allow loading of multi-backtest files --- docs/plotting.md | 8 +++++++- freqtrade/commands/arguments.py | 2 +- freqtrade/plot/plotting.py | 4 ++-- 3 files changed, 10 insertions(+), 4 deletions(-) diff --git a/docs/plotting.md b/docs/plotting.md index d3a2df1c1..7de5626b2 100644 --- a/docs/plotting.md +++ b/docs/plotting.md @@ -224,7 +224,8 @@ Possible options for the `freqtrade plot-profit` subcommand: ``` usage: freqtrade plot-profit [-h] [-v] [--logfile FILE] [-V] [-c PATH] - [-d PATH] [--userdir PATH] [-p PAIRS [PAIRS ...]] + [-d PATH] [--userdir PATH] [-s NAME] + [--strategy-path PATH] [-p PAIRS [PAIRS ...]] [--timerange TIMERANGE] [--export EXPORT] [--export-filename PATH] [--db-url PATH] [--trade-source {DB,file}] [-i TIMEFRAME] @@ -270,6 +271,11 @@ Common arguments: --userdir PATH, --user-data-dir PATH Path to userdata directory. +Strategy arguments: + -s NAME, --strategy NAME + Specify strategy class name which will be used by the + bot. + --strategy-path PATH Specify additional strategy lookup path. ``` The `-p/--pairs` argument, can be used to limit the pairs that are considered for this calculation. diff --git a/freqtrade/commands/arguments.py b/freqtrade/commands/arguments.py index 72f2a02f0..6114fc589 100644 --- a/freqtrade/commands/arguments.py +++ b/freqtrade/commands/arguments.py @@ -354,7 +354,7 @@ class Arguments: plot_profit_cmd = subparsers.add_parser( 'plot-profit', help='Generate plot showing profits.', - parents=[_common_parser], + parents=[_common_parser, _strategy_parser], ) plot_profit_cmd.set_defaults(func=start_plot_profit) self._build_args(optionlist=ARGS_PLOT_PROFIT, parser=plot_profit_cmd) diff --git a/freqtrade/plot/plotting.py b/freqtrade/plot/plotting.py index 16afaec3b..b11f093d9 100644 --- a/freqtrade/plot/plotting.py +++ b/freqtrade/plot/plotting.py @@ -9,7 +9,6 @@ from freqtrade.data.btanalysis import (calculate_max_drawdown, combine_dataframes_with_mean, create_cum_profit, extract_trades_of_period, - get_latest_backtest_filename, load_trades) from freqtrade.data.converter import trim_dataframe from freqtrade.data.history import load_data @@ -65,7 +64,8 @@ def init_plotscript(config): config['trade_source'], db_url=config.get('db_url'), exportfilename=filename, - no_trades=no_trades + no_trades=no_trades, + strategy=config.get("strategy"), ) trades = trim_dataframe(trades, timerange, 'open_date') From d56f9655e2b019cf95af75c613257b9049661944 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 07:20:43 +0200 Subject: [PATCH 068/244] Update notebook with new statistics example --- docs/plotting.md | 2 +- docs/strategy_analysis_example.md | 44 +++++++++++++++-- freqtrade/data/btanalysis.py | 2 +- .../templates/strategy_analysis_example.ipynb | 47 +++++++++++++++++-- 4 files changed, 85 insertions(+), 10 deletions(-) diff --git a/docs/plotting.md b/docs/plotting.md index 7de5626b2..09eb6ddb5 100644 --- a/docs/plotting.md +++ b/docs/plotting.md @@ -285,7 +285,7 @@ Examples: Use custom backtest-export file ``` bash -freqtrade plot-profit -p LTC/BTC --export-filename user_data/backtest_results/backtest-result-Strategy005.json +freqtrade plot-profit -p LTC/BTC --export-filename user_data/backtest_results/backtest-result.json ``` Use custom database diff --git a/docs/strategy_analysis_example.md b/docs/strategy_analysis_example.md index 6b4ad567f..8915ebe37 100644 --- a/docs/strategy_analysis_example.md +++ b/docs/strategy_analysis_example.md @@ -18,7 +18,7 @@ config = Configuration.from_files([]) # config = Configuration.from_files(["config.json"]) # Define some constants -config["timeframe"] = "5m" +config["ticker_interval"] = "5m" # Name of the strategy class config["strategy"] = "SampleStrategy" # Location of the data @@ -33,7 +33,7 @@ pair = "BTC_USDT" from freqtrade.data.history import load_pair_history candles = load_pair_history(datadir=data_location, - timeframe=config["timeframe"], + timeframe=config["ticker_interval"], pair=pair) # Confirm success @@ -85,10 +85,44 @@ Analyze a trades dataframe (also used below for plotting) ```python -from freqtrade.data.btanalysis import load_backtest_data +from freqtrade.data.btanalysis import load_backtest_data, load_backtest_stats -# Load backtest results -trades = load_backtest_data(config["user_data_dir"] / "backtest_results/backtest-result.json") +# if backtest_dir points to a directory, it'll automatically load the last backtest file. +backtest_dir = config["user_data_dir"] / "backtest_results" +# backtest_dir can also point to a specific file +# backtest_dir = config["user_data_dir"] / "backtest_results/backtest-result-2020-07-01_20-04-22.json" +``` + + +```python +# You can get the full backtest statistics by using the following command. +# This contains all information used to generate the backtest result. +stats = load_backtest_stats(backtest_dir) + +strategy = 'SampleStrategy' +# All statistics are available per strategy, so if `--strategy-list` was used during backtest, this will be reflected here as well. +# Example usages: +print(stats['strategy'][strategy]['results_per_pair']) +# Get pairlist used for this backtest +print(stats['strategy'][strategy]['pairlist']) +# Get market change (average change of all pairs from start to end of the backtest period) +print(stats['strategy'][strategy]['market_change']) +# Maximum drawdown () +print(stats['strategy'][strategy]['max_drawdown']) +# Maximum drawdown start and end +print(stats['strategy'][strategy]['drawdown_start']) +print(stats['strategy'][strategy]['drawdown_end']) + + +# Get strategy comparison (only relevant if multiple strategies were compared) +print(stats['strategy_comparison']) + +``` + + +```python +# Load backtested trades as dataframe +trades = load_backtest_data(backtest_dir) # Show value-counts per pair trades.groupby("pair")["sell_reason"].value_counts() diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py index 6931b1685..cf6e18e64 100644 --- a/freqtrade/data/btanalysis.py +++ b/freqtrade/data/btanalysis.py @@ -72,7 +72,7 @@ def load_backtest_stats(filename: Union[Path, str]) -> Dict[str, Any]: def load_backtest_data(filename: Union[Path, str], strategy: Optional[str] = None) -> pd.DataFrame: """ Load backtest data file. - :param filename: pathlib.Path object, or string pointing to the file. + :param filename: pathlib.Path object, or string pointing to a file or directory :param strategy: Strategy to load - mainly relevant for multi-strategy backtests Can also serve as protection to load the correct result. :return: a dataframe with the analysis results diff --git a/freqtrade/templates/strategy_analysis_example.ipynb b/freqtrade/templates/strategy_analysis_example.ipynb index dffa308ce..31a5b536a 100644 --- a/freqtrade/templates/strategy_analysis_example.ipynb +++ b/freqtrade/templates/strategy_analysis_example.ipynb @@ -136,10 +136,51 @@ "metadata": {}, "outputs": [], "source": [ - "from freqtrade.data.btanalysis import load_backtest_data\n", + "from freqtrade.data.btanalysis import load_backtest_data, load_backtest_stats\n", "\n", - "# Load backtest results\n", - "trades = load_backtest_data(config[\"user_data_dir\"] / \"backtest_results/backtest-result.json\")\n", + "# if backtest_dir points to a directory, it'll automatically load the last backtest file.\n", + "backtest_dir = config[\"user_data_dir\"] / \"backtest_results\"\n", + "# backtest_dir can also point to a specific file \n", + "# backtest_dir = config[\"user_data_dir\"] / \"backtest_results/backtest-result-2020-07-01_20-04-22.json\"" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# You can get the full backtest statistics by using the following command.\n", + "# This contains all information used to generate the backtest result.\n", + "stats = load_backtest_stats(backtest_dir)\n", + "\n", + "strategy = 'SampleStrategy'\n", + "# All statistics are available per strategy, so if `--strategy-list` was used during backtest, this will be reflected here as well.\n", + "# Example usages:\n", + "print(stats['strategy'][strategy]['results_per_pair'])\n", + "# Get pairlist used for this backtest\n", + "print(stats['strategy'][strategy]['pairlist'])\n", + "# Get market change (average change of all pairs from start to end of the backtest period)\n", + "print(stats['strategy'][strategy]['market_change'])\n", + "# Maximum drawdown ()\n", + "print(stats['strategy'][strategy]['max_drawdown'])\n", + "# Maximum drawdown start and end\n", + "print(stats['strategy'][strategy]['drawdown_start'])\n", + "print(stats['strategy'][strategy]['drawdown_end'])\n", + "\n", + "\n", + "# Get strategy comparison (only relevant if multiple strategies were compared)\n", + "print(stats['strategy_comparison'])\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# Load backtested trades as dataframe\n", + "trades = load_backtest_data(backtest_dir)\n", "\n", "# Show value-counts per pair\n", "trades.groupby(\"pair\")[\"sell_reason\"].value_counts()" From 804c42933d5d1eb58e102dbbcb66e55f801b0bc8 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 08:02:27 +0200 Subject: [PATCH 069/244] Document summary-statistics --- docs/backtesting.md | 69 ++++++++++++++++++++++++++++++++++++++++----- 1 file changed, 62 insertions(+), 7 deletions(-) diff --git a/docs/backtesting.md b/docs/backtesting.md index ecd48bdc9..52506215d 100644 --- a/docs/backtesting.md +++ b/docs/backtesting.md @@ -157,17 +157,28 @@ A backtesting result will look like that: | ADA/BTC | 1 | 0.89 | 0.89 | 0.00004434 | 0.44 | 6:00:00 | 1 | 0 | 0 | | LTC/BTC | 1 | 0.68 | 0.68 | 0.00003421 | 0.34 | 2:00:00 | 1 | 0 | 0 | | TOTAL | 2 | 0.78 | 1.57 | 0.00007855 | 0.78 | 4:00:00 | 2 | 0 | 0 | +============ SUMMARY METRICS ============= +| Metric | Value | +|------------------+---------------------| +| Total trades | 429 | +| First trade | 2019-01-01 18:30:00 | +| First trade Pair | EOS/USDT | +| Backtesting from | 2019-01-01 00:00:00 | +| Backtesting to | 2019-05-01 00:00:00 | +| Trades per day | 3.575 | +| | | +| Max Drawdown | 50.63% | +| Drawdown Start | 2019-02-15 14:10:00 | +| Drawdown End | 2019-04-11 18:15:00 | +| Market change | -5.88% | +========================================== + ``` +### Backtesting report table + The 1st table contains all trades the bot made, including "left open trades". -The 2nd table contains a recap of sell reasons. -This table can tell you which area needs some additional work (i.e. all `sell_signal` trades are losses, so we should disable the sell-signal or work on improving that). - -The 3rd table contains all trades the bot had to `forcesell` at the end of the backtest period to present a full picture. -This is necessary to simulate realistic behaviour, since the backtest period has to end at some point, while realistically, you could leave the bot running forever. -These trades are also included in the first table, but are extracted separately for clarity. - The last line will give you the overall performance of your strategy, here: @@ -196,6 +207,50 @@ On the other hand, if you set a too high `minimal_roi` like `"0": 0.55` (55%), there is almost no chance that the bot will ever reach this profit. Hence, keep in mind that your performance is an integral mix of all different elements of the strategy, your configuration, and the crypto-currency pairs you have set up. +### Sell reasons table + +The 2nd table contains a recap of sell reasons. +This table can tell you which area needs some additional work (i.e. all `sell_signal` trades are losses, so we should disable the sell-signal or work on improving that). + +### Left open trades table + +The 3rd table contains all trades the bot had to `forcesell` at the end of the backtest period to present a full picture. +This is necessary to simulate realistic behaviour, since the backtest period has to end at some point, while realistically, you could leave the bot running forever. +These trades are also included in the first table, but are extracted separately for clarity. + +### Summary metrics + +The last element of the backtest report is the summary metrics table. +It contains some useful key metrics about your strategy. + +``` +============ SUMMARY METRICS ============= +| Metric | Value | +|------------------+---------------------| +| Total trades | 429 | +| First trade | 2019-01-01 18:30:00 | +| First trade Pair | EOS/USDT | +| Backtesting from | 2019-01-01 00:00:00 | +| Backtesting to | 2019-05-01 00:00:00 | +| Trades per day | 3.575 | +| | | +| Max Drawdown | 50.63% | +| Drawdown Start | 2019-02-15 14:10:00 | +| Drawdown End | 2019-04-11 18:15:00 | +| Market change | -5.88% | +========================================== + +``` + +- `Total trades`: Identical to the total trades of the backtest output table. +- `First trade`: First trade entered. +- `First trade pair`: Which pair was part of the first trade +- `Backtesting from` / `Backtesting to`: Backtesting range (usually defined as `--timerange from-to`) +- `Trades per day`: Total trades / Backtest duration (this will give you information about how many trades to expect from the strategy) +- `Max Drawdown`: Maximum drawown experienced. a value of 50% means that from highest to subsequent lowest point, a 50% drop was experiened). +- `Drawdown Start` / `Drawdown End`: From when to when was this large drawdown (can also be visualized via `plot-dataframe` subcommand) +- `Market change`: Change of the market during the backtest period. Calculated as average of all pairs changes from the first to the last candle using the "close" column. + ### Assumptions made by backtesting Since backtesting lacks some detailed information about what happens within a candle, it needs to take a few assumptions: From 42868ad24ac8812ec295867fd5f9728aaad9635a Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 19:30:29 +0200 Subject: [PATCH 070/244] Add best / worst day to statistics --- docs/backtesting.md | 11 +++++++---- freqtrade/optimize/optimize_reports.py | 8 ++++++++ 2 files changed, 15 insertions(+), 4 deletions(-) diff --git a/docs/backtesting.md b/docs/backtesting.md index 52506215d..6c01e1c62 100644 --- a/docs/backtesting.md +++ b/docs/backtesting.md @@ -233,6 +233,8 @@ It contains some useful key metrics about your strategy. | Backtesting from | 2019-01-01 00:00:00 | | Backtesting to | 2019-05-01 00:00:00 | | Trades per day | 3.575 | +| Best day | 25.27% | +| Worst day | -30.67% | | | | | Max Drawdown | 50.63% | | Drawdown Start | 2019-02-15 14:10:00 | @@ -244,11 +246,12 @@ It contains some useful key metrics about your strategy. - `Total trades`: Identical to the total trades of the backtest output table. - `First trade`: First trade entered. -- `First trade pair`: Which pair was part of the first trade -- `Backtesting from` / `Backtesting to`: Backtesting range (usually defined as `--timerange from-to`) -- `Trades per day`: Total trades / Backtest duration (this will give you information about how many trades to expect from the strategy) +- `First trade pair`: Which pair was part of the first trade. +- `Backtesting from` / `Backtesting to`: Backtesting range (usually defined as `--timerange from-to`). +- `Trades per day`: Total trades / Backtest duration (this will give you information about how many trades to expect from the strategy). +- `Best day` / `Worst day`: Best and worst day based on daily profit. - `Max Drawdown`: Maximum drawown experienced. a value of 50% means that from highest to subsequent lowest point, a 50% drop was experiened). -- `Drawdown Start` / `Drawdown End`: From when to when was this large drawdown (can also be visualized via `plot-dataframe` subcommand) +- `Drawdown Start` / `Drawdown End`: From when to when was this large drawdown (can also be visualized via `plot-dataframe` subcommand). - `Market change`: Change of the market during the backtest period. Calculated as average of all pairs changes from the first to the last candle using the "close" column. ### Assumptions made by backtesting diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index d0e29d98f..4f169c53a 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -239,6 +239,9 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], max_open_trades=max_open_trades, results=results.loc[results['open_at_end']], skip_nan=True) + daily_profit = results.resample('1d', on='close_date')['profit_percent'].sum() + worst = min(daily_profit) + best = max(daily_profit) backtest_days = (max_date - min_date).days strat_stats = { @@ -252,6 +255,9 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], 'backtest_end': max_date.datetime, 'backtest_end_ts': max_date.timestamp, 'backtest_days': backtest_days, + 'backtest_best_day': best, + 'backtest_worst_day': worst, + 'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else None, 'market_change': market_change, 'pairlist': list(btdata.keys()), @@ -366,6 +372,8 @@ def text_table_add_metrics(strat_results: Dict) -> str: ('Backtesting from', strat_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)), ('Backtesting to', strat_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)), ('Trades per day', strat_results['trades_per_day']), + ('Best day', f"{round(strat_results['backtest_best_day'] * 100, 2)}%"), + ('Worst day', f"{round(strat_results['backtest_worst_day'] * 100, 2)}%"), ('', ''), # Empty line to improve readability ('Max Drawdown', f"{round(strat_results['max_drawdown'] * 100, 2)}%"), ('Drawdown Start', strat_results['drawdown_start'].strftime(DATETIME_PRINT_FORMAT)), From 8e0ff4bd86effd9d44fb0d0fd82c10ce246c6141 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 19:45:45 +0200 Subject: [PATCH 071/244] Add Win / draw / losing days --- freqtrade/optimize/optimize_reports.py | 28 ++++++++++++++++++++------ 1 file changed, 22 insertions(+), 6 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 4f169c53a..33157d50a 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -210,6 +210,23 @@ def generate_edge_table(results: dict) -> str: floatfmt=floatfmt, tablefmt="orgtbl", stralign="right") # type: ignore +def generate_daily_stats(results: DataFrame) -> Dict[str, Any]: + daily_profit = results.resample('1d', on='close_date')['profit_percent'].sum() + worst = min(daily_profit) + best = max(daily_profit) + winning_days = sum(daily_profit > 0) + draw_days = sum(daily_profit == 0) + losing_days = sum(daily_profit < 0) + + return { + 'backtest_best_day': best, + 'backtest_worst_day': worst, + 'winning_days': winning_days, + 'draw_days': draw_days, + 'losing_days': losing_days, + } + + def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], all_results: Dict[str, DataFrame], min_date: Arrow, max_date: Arrow @@ -239,9 +256,7 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], max_open_trades=max_open_trades, results=results.loc[results['open_at_end']], skip_nan=True) - daily_profit = results.resample('1d', on='close_date')['profit_percent'].sum() - worst = min(daily_profit) - best = max(daily_profit) + daily_stats = generate_daily_stats(results) backtest_days = (max_date - min_date).days strat_stats = { @@ -255,13 +270,12 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], 'backtest_end': max_date.datetime, 'backtest_end_ts': max_date.timestamp, 'backtest_days': backtest_days, - 'backtest_best_day': best, - 'backtest_worst_day': worst, 'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else None, 'market_change': market_change, 'pairlist': list(btdata.keys()), - 'stake_amount': config['stake_amount'] + 'stake_amount': config['stake_amount'], + **daily_stats, } result['strategy'][strategy] = strat_stats @@ -374,6 +388,8 @@ def text_table_add_metrics(strat_results: Dict) -> str: ('Trades per day', strat_results['trades_per_day']), ('Best day', f"{round(strat_results['backtest_best_day'] * 100, 2)}%"), ('Worst day', f"{round(strat_results['backtest_worst_day'] * 100, 2)}%"), + ('Days win/draw/lose', f"{strat_results['winning_days']} / " + f"{strat_results['draw_days']} / {strat_results['losing_days']}"), ('', ''), # Empty line to improve readability ('Max Drawdown', f"{round(strat_results['max_drawdown'] * 100, 2)}%"), ('Drawdown Start', strat_results['drawdown_start'].strftime(DATETIME_PRINT_FORMAT)), From 987188e41f15e5914686c2637f4ddee418af9be8 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 19:58:02 +0200 Subject: [PATCH 072/244] Add avgduration for winners and losers --- docs/backtesting.md | 40 ++++++++++++++------------ freqtrade/optimize/optimize_reports.py | 9 ++++++ 2 files changed, 31 insertions(+), 18 deletions(-) diff --git a/docs/backtesting.md b/docs/backtesting.md index 6c01e1c62..cb20c3e43 100644 --- a/docs/backtesting.md +++ b/docs/backtesting.md @@ -224,23 +224,26 @@ The last element of the backtest report is the summary metrics table. It contains some useful key metrics about your strategy. ``` -============ SUMMARY METRICS ============= -| Metric | Value | -|------------------+---------------------| -| Total trades | 429 | -| First trade | 2019-01-01 18:30:00 | -| First trade Pair | EOS/USDT | -| Backtesting from | 2019-01-01 00:00:00 | -| Backtesting to | 2019-05-01 00:00:00 | -| Trades per day | 3.575 | -| Best day | 25.27% | -| Worst day | -30.67% | -| | | -| Max Drawdown | 50.63% | -| Drawdown Start | 2019-02-15 14:10:00 | -| Drawdown End | 2019-04-11 18:15:00 | -| Market change | -5.88% | -========================================== +=============== SUMMARY METRICS =============== +| Metric | Value | +|-----------------------+---------------------| + +| Total trades | 429 | +| First trade | 2019-01-01 18:30:00 | +| First trade Pair | EOS/USDT | +| Backtesting from | 2019-01-01 00:00:00 | +| Backtesting to | 2019-05-01 00:00:00 | +| Trades per day | 3.575 | +| Best day | 25.27% | +| Worst day | -30.67% | +| Avg. Duration Winners | 4:23:00 | +| Avg. Duration Loser | 6:55:00 | +| | | +| Max Drawdown | 50.63% | +| Drawdown Start | 2019-02-15 14:10:00 | +| Drawdown End | 2019-04-11 18:15:00 | +| Market change | -5.88% | +=============================================== ``` @@ -250,10 +253,11 @@ It contains some useful key metrics about your strategy. - `Backtesting from` / `Backtesting to`: Backtesting range (usually defined as `--timerange from-to`). - `Trades per day`: Total trades / Backtest duration (this will give you information about how many trades to expect from the strategy). - `Best day` / `Worst day`: Best and worst day based on daily profit. +- `Avg. Duration Winners` / `Avg. Duration Loser`: Average durations for winning and losing trades. - `Max Drawdown`: Maximum drawown experienced. a value of 50% means that from highest to subsequent lowest point, a 50% drop was experiened). - `Drawdown Start` / `Drawdown End`: From when to when was this large drawdown (can also be visualized via `plot-dataframe` subcommand). - `Market change`: Change of the market during the backtest period. Calculated as average of all pairs changes from the first to the last candle using the "close" column. - + ### Assumptions made by backtesting Since backtesting lacks some detailed information about what happens within a candle, it needs to take a few assumptions: diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 33157d50a..f9b38caf0 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -218,12 +218,19 @@ def generate_daily_stats(results: DataFrame) -> Dict[str, Any]: draw_days = sum(daily_profit == 0) losing_days = sum(daily_profit < 0) + winning_trades = results.loc[results['profit_percent'] > 0] + losing_trades = results.loc[results['profit_percent'] < 0] + return { 'backtest_best_day': best, 'backtest_worst_day': worst, 'winning_days': winning_days, 'draw_days': draw_days, 'losing_days': losing_days, + 'winner_holding_avg': (timedelta(minutes=round(winning_trades['trade_duration'].mean())) + if not winning_trades.empty else '0:00'), + 'loser_holding_avg': (timedelta(minutes=round(losing_trades['trade_duration'].mean())) + if not losing_trades.empty else '0:00'), } @@ -390,6 +397,8 @@ def text_table_add_metrics(strat_results: Dict) -> str: ('Worst day', f"{round(strat_results['backtest_worst_day'] * 100, 2)}%"), ('Days win/draw/lose', f"{strat_results['winning_days']} / " f"{strat_results['draw_days']} / {strat_results['losing_days']}"), + ('Avg. Duration Winners', f"{strat_results['winner_holding_avg']}"), + ('Avg. Duration Loser', f"{strat_results['loser_holding_avg']}"), ('', ''), # Empty line to improve readability ('Max Drawdown', f"{round(strat_results['max_drawdown'] * 100, 2)}%"), ('Drawdown Start', strat_results['drawdown_start'].strftime(DATETIME_PRINT_FORMAT)), From 523437d9707e941c8ddd2e7a5585c97199300c80 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 20:03:33 +0200 Subject: [PATCH 073/244] Add tst for daily stats --- tests/optimize/test_optimize_reports.py | 20 +++++++++++++++++++- 1 file changed, 19 insertions(+), 1 deletion(-) diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index 2431fa716..6c1009e22 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -1,4 +1,5 @@ import re +from datetime import timedelta from pathlib import Path import pandas as pd @@ -8,9 +9,11 @@ from arrow import Arrow from freqtrade.configuration import TimeRange from freqtrade.constants import LAST_BT_RESULT_FN from freqtrade.data import history -from freqtrade.data.btanalysis import get_latest_backtest_filename +from freqtrade.data.btanalysis import (get_latest_backtest_filename, + load_backtest_data) from freqtrade.edge import PairInfo from freqtrade.optimize.optimize_reports import (generate_backtest_stats, + generate_daily_stats, generate_edge_table, generate_pair_metrics, generate_sell_reason_stats, @@ -170,6 +173,21 @@ def test_generate_pair_metrics(default_conf, mocker): pytest.approx(pair_results[-1]['profit_sum_pct']) == pair_results[-1]['profit_sum'] * 100) +def test_generate_daily_stats(testdatadir): + + filename = testdatadir / "backtest-result_new.json" + bt_data = load_backtest_data(filename) + res = generate_daily_stats(bt_data) + assert isinstance(res, dict) + assert round(res['backtest_best_day'], 4) == 0.1796 + assert round(res['backtest_worst_day'], 4) == -0.1468 + assert res['winning_days'] == 14 + assert res['draw_days'] == 4 + assert res['losing_days'] == 3 + assert res['winner_holding_avg'] == timedelta(seconds=1440) + assert res['loser_holding_avg'] == timedelta(days=1, seconds=21420) + + def test_text_table_sell_reason(default_conf): results = pd.DataFrame( From 0d15a87af8de45799677a221c7311390b7dbb7b3 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 20:15:20 +0200 Subject: [PATCH 074/244] Remove old store_backtest method --- freqtrade/optimize/backtesting.py | 2 - freqtrade/optimize/optimize_reports.py | 20 ------- tests/optimize/test_backtesting.py | 1 + tests/optimize/test_optimize_reports.py | 74 ------------------------- 4 files changed, 1 insertion(+), 96 deletions(-) diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py index 18881f9db..3cd4f4fa2 100644 --- a/freqtrade/optimize/backtesting.py +++ b/freqtrade/optimize/backtesting.py @@ -21,7 +21,6 @@ from freqtrade.exceptions import OperationalException from freqtrade.exchange import timeframe_to_minutes, timeframe_to_seconds from freqtrade.optimize.optimize_reports import (generate_backtest_stats, show_backtest_results, - store_backtest_result, store_backtest_stats) from freqtrade.pairlist.pairlistmanager import PairListManager from freqtrade.persistence import Trade @@ -421,7 +420,6 @@ class Backtesting: stats = generate_backtest_stats(self.config, data, all_results, min_date=min_date, max_date=max_date) if self.config.get('export', False): - store_backtest_result(self.config['exportfilename'], all_results) store_backtest_stats(self.config['exportfilename'], stats) # Show backtest results diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index f9b38caf0..67c8e3077 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -30,26 +30,6 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N file_dump_json(latest_filename, {'latest_backtest': str(filename.name)}) -def store_backtest_result(recordfilename: Path, all_results: Dict[str, DataFrame]) -> None: - """ - Stores backtest results to file (one file per strategy) - :param recordfilename: Destination filename - :param all_results: Dict of Dataframes, one results dataframe per strategy - """ - for strategy, results in all_results.items(): - records = backtest_result_to_list(results) - - if records: - filename = recordfilename - if len(all_results) > 1: - # Inject strategy to filename - filename = Path.joinpath( - recordfilename.parent, - f'{recordfilename.stem}-{strategy}').with_suffix(recordfilename.suffix) - logger.info(f'Dumping backtest results to {filename}') - file_dump_json(filename, records) - - def backtest_result_to_list(results: DataFrame) -> List[List]: """ Converts a list of Backtest-results to list diff --git a/tests/optimize/test_backtesting.py b/tests/optimize/test_backtesting.py index 2c855fbc0..04417848f 100644 --- a/tests/optimize/test_backtesting.py +++ b/tests/optimize/test_backtesting.py @@ -703,6 +703,7 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir): generate_pair_metrics=MagicMock(), generate_sell_reason_stats=sell_reason_mock, generate_strategy_metrics=strat_summary, + generate_daily_stats=MagicMock(), ) patched_configuration_load_config_file(mocker, default_conf) diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py index 6c1009e22..2fab4578c 100644 --- a/tests/optimize/test_optimize_reports.py +++ b/tests/optimize/test_optimize_reports.py @@ -18,13 +18,11 @@ from freqtrade.optimize.optimize_reports import (generate_backtest_stats, generate_pair_metrics, generate_sell_reason_stats, generate_strategy_metrics, - store_backtest_result, store_backtest_stats, text_table_bt_results, text_table_sell_reason, text_table_strategy) from freqtrade.strategy.interface import SellType -from tests.conftest import patch_exchange from tests.data.test_history import _backup_file, _clean_test_file @@ -308,75 +306,3 @@ def test_generate_edge_table(edge_conf, mocker): assert generate_edge_table(results).count('| ETH/BTC |') == 1 assert generate_edge_table(results).count( '| Risk Reward Ratio | Required Risk Reward | Expectancy |') == 1 - - -def test_backtest_record(default_conf, fee, mocker): - names = [] - records = [] - patch_exchange(mocker) - mocker.patch('freqtrade.exchange.Exchange.get_fee', fee) - mocker.patch( - 'freqtrade.optimize.optimize_reports.file_dump_json', - new=lambda n, r: (names.append(n), records.append(r)) - ) - - results = {'DefStrat': pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC", - "UNITTEST/BTC", "UNITTEST/BTC"], - "profit_percent": [0.003312, 0.010801, 0.013803, 0.002780], - "profit_abs": [0.000003, 0.000011, 0.000014, 0.000003], - "open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime, - Arrow(2017, 11, 14, 21, 36, 00).datetime, - Arrow(2017, 11, 14, 22, 12, 00).datetime, - Arrow(2017, 11, 14, 22, 44, 00).datetime], - "close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime, - Arrow(2017, 11, 14, 22, 10, 00).datetime, - Arrow(2017, 11, 14, 22, 43, 00).datetime, - Arrow(2017, 11, 14, 22, 58, 00).datetime], - "open_rate": [0.002543, 0.003003, 0.003089, 0.003214], - "close_rate": [0.002546, 0.003014, 0.003103, 0.003217], - "trade_duration": [123, 34, 31, 14], - "open_at_end": [False, False, False, True], - "sell_reason": [SellType.ROI, SellType.STOP_LOSS, - SellType.ROI, SellType.FORCE_SELL] - })} - store_backtest_result(Path("backtest-result.json"), results) - # Assert file_dump_json was only called once - assert names == [Path('backtest-result.json')] - records = records[0] - # Ensure records are of correct type - assert len(records) == 4 - - # reset test to test with strategy name - names = [] - records = [] - results['Strat'] = results['DefStrat'] - results['Strat2'] = results['DefStrat'] - store_backtest_result(Path("backtest-result.json"), results) - assert names == [ - Path('backtest-result-DefStrat.json'), - Path('backtest-result-Strat.json'), - Path('backtest-result-Strat2.json'), - ] - records = records[0] - # Ensure records are of correct type - assert len(records) == 4 - - # ('UNITTEST/BTC', 0.00331158, '1510684320', '1510691700', 0, 117) - # Below follows just a typecheck of the schema/type of trade-records - oix = None - for (pair, profit, date_buy, date_sell, buy_index, dur, - openr, closer, open_at_end, sell_reason) in records: - assert pair == 'UNITTEST/BTC' - assert isinstance(profit, float) - # FIX: buy/sell should be converted to ints - assert isinstance(date_buy, float) - assert isinstance(date_sell, float) - assert isinstance(openr, float) - assert isinstance(closer, float) - assert isinstance(open_at_end, bool) - assert isinstance(sell_reason, str) - isinstance(buy_index, pd._libs.tslib.Timestamp) - if oix: - assert buy_index > oix - oix = buy_index - assert dur > 0 From ea5e47657a9bf4d3969db4a762ea73d283d3abc3 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 20:26:55 +0200 Subject: [PATCH 075/244] Remove ticker_interval from jupyter notebook --- docs/strategy_analysis_example.md | 4 ++-- freqtrade/templates/strategy_analysis_example.ipynb | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/strategy_analysis_example.md b/docs/strategy_analysis_example.md index 8915ebe37..90e39fd76 100644 --- a/docs/strategy_analysis_example.md +++ b/docs/strategy_analysis_example.md @@ -18,7 +18,7 @@ config = Configuration.from_files([]) # config = Configuration.from_files(["config.json"]) # Define some constants -config["ticker_interval"] = "5m" +config["timeframe"] = "5m" # Name of the strategy class config["strategy"] = "SampleStrategy" # Location of the data @@ -33,7 +33,7 @@ pair = "BTC_USDT" from freqtrade.data.history import load_pair_history candles = load_pair_history(datadir=data_location, - timeframe=config["ticker_interval"], + timeframe=config["timeframe"], pair=pair) # Confirm success diff --git a/freqtrade/templates/strategy_analysis_example.ipynb b/freqtrade/templates/strategy_analysis_example.ipynb index 31a5b536a..c6e64c74e 100644 --- a/freqtrade/templates/strategy_analysis_example.ipynb +++ b/freqtrade/templates/strategy_analysis_example.ipynb @@ -34,7 +34,7 @@ "# config = Configuration.from_files([\"config.json\"])\n", "\n", "# Define some constants\n", - "config[\"ticker_interval\"] = \"5m\"\n", + "config[\"timeframe\"] = \"5m\"\n", "# Name of the strategy class\n", "config[\"strategy\"] = \"SampleStrategy\"\n", "# Location of the data\n", @@ -53,7 +53,7 @@ "from freqtrade.data.history import load_pair_history\n", "\n", "candles = load_pair_history(datadir=data_location,\n", - " timeframe=config[\"ticker_interval\"],\n", + " timeframe=config[\"timeframe\"],\n", " pair=pair)\n", "\n", "# Confirm success\n", From 1fc4451d2f59e7631131c9409a101c3c6abf63e1 Mon Sep 17 00:00:00 2001 From: Matthias Date: Fri, 3 Jul 2020 20:32:04 +0200 Subject: [PATCH 076/244] Avoid \ linebreak --- freqtrade/optimize/optimize_reports.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 67c8e3077..63fbfb48c 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -17,8 +17,8 @@ logger = logging.getLogger(__name__) def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> None: if recordfilename.is_dir(): - filename = recordfilename / \ - f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}.json' + filename = (recordfilename / + f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}.json') else: filename = Path.joinpath( recordfilename.parent, From 2417898d0078143be347d50cecacfe04a9900fae Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 14 Jul 2020 19:27:52 +0200 Subject: [PATCH 077/244] Apply documentation suggestions from code review Co-authored-by: hroff-1902 <47309513+hroff-1902@users.noreply.github.com> --- docs/backtesting.md | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/docs/backtesting.md b/docs/backtesting.md index cb20c3e43..7d6759df0 100644 --- a/docs/backtesting.md +++ b/docs/backtesting.md @@ -210,18 +210,18 @@ Hence, keep in mind that your performance is an integral mix of all different el ### Sell reasons table The 2nd table contains a recap of sell reasons. -This table can tell you which area needs some additional work (i.e. all `sell_signal` trades are losses, so we should disable the sell-signal or work on improving that). +This table can tell you which area needs some additional work (e,g. all or many of the `sell_signal` trades are losses, so we should disable the sell-signal or work on improving that). ### Left open trades table -The 3rd table contains all trades the bot had to `forcesell` at the end of the backtest period to present a full picture. +The 3rd table contains all trades the bot had to `forcesell` at the end of the backtesting period to present you the full picture. This is necessary to simulate realistic behaviour, since the backtest period has to end at some point, while realistically, you could leave the bot running forever. -These trades are also included in the first table, but are extracted separately for clarity. +These trades are also included in the first table, but are also shown separately in this table for clarity. ### Summary metrics The last element of the backtest report is the summary metrics table. -It contains some useful key metrics about your strategy. +It contains some useful key metrics about performance of your strategy on backtesting data. ``` =============== SUMMARY METRICS =============== @@ -250,12 +250,12 @@ It contains some useful key metrics about your strategy. - `Total trades`: Identical to the total trades of the backtest output table. - `First trade`: First trade entered. - `First trade pair`: Which pair was part of the first trade. -- `Backtesting from` / `Backtesting to`: Backtesting range (usually defined as `--timerange from-to`). -- `Trades per day`: Total trades / Backtest duration (this will give you information about how many trades to expect from the strategy). +- `Backtesting from` / `Backtesting to`: Backtesting range (usually defined with the `--timerange` option). +- `Trades per day`: Total trades divided by the backtesting duration in days (this will give you information about how many trades to expect from the strategy). - `Best day` / `Worst day`: Best and worst day based on daily profit. - `Avg. Duration Winners` / `Avg. Duration Loser`: Average durations for winning and losing trades. -- `Max Drawdown`: Maximum drawown experienced. a value of 50% means that from highest to subsequent lowest point, a 50% drop was experiened). -- `Drawdown Start` / `Drawdown End`: From when to when was this large drawdown (can also be visualized via `plot-dataframe` subcommand). +- `Max Drawdown`: Maximum drawdown experienced. For example, the value of 50% means that from highest to subsequent lowest point, a 50% drop was experienced). +- `Drawdown Start` / `Drawdown End`: Start and end datetimes for this largest drawdown (can also be visualized via the `plot-dataframe` subcommand). - `Market change`: Change of the market during the backtest period. Calculated as average of all pairs changes from the first to the last candle using the "close" column. ### Assumptions made by backtesting From bdf611352e7e516d6789cb6b5a40f89c38953f59 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 14 Jul 2020 19:34:01 +0200 Subject: [PATCH 078/244] Update summary-metrics output --- docs/backtesting.md | 40 ++++++++++++++------------ freqtrade/optimize/optimize_reports.py | 4 +-- 2 files changed, 23 insertions(+), 21 deletions(-) diff --git a/docs/backtesting.md b/docs/backtesting.md index 7d6759df0..b1dcd5dba 100644 --- a/docs/backtesting.md +++ b/docs/backtesting.md @@ -157,22 +157,25 @@ A backtesting result will look like that: | ADA/BTC | 1 | 0.89 | 0.89 | 0.00004434 | 0.44 | 6:00:00 | 1 | 0 | 0 | | LTC/BTC | 1 | 0.68 | 0.68 | 0.00003421 | 0.34 | 2:00:00 | 1 | 0 | 0 | | TOTAL | 2 | 0.78 | 1.57 | 0.00007855 | 0.78 | 4:00:00 | 2 | 0 | 0 | -============ SUMMARY METRICS ============= -| Metric | Value | -|------------------+---------------------| -| Total trades | 429 | -| First trade | 2019-01-01 18:30:00 | -| First trade Pair | EOS/USDT | -| Backtesting from | 2019-01-01 00:00:00 | -| Backtesting to | 2019-05-01 00:00:00 | -| Trades per day | 3.575 | -| | | -| Max Drawdown | 50.63% | -| Drawdown Start | 2019-02-15 14:10:00 | -| Drawdown End | 2019-04-11 18:15:00 | -| Market change | -5.88% | -========================================== - +=============== SUMMARY METRICS =============== +| Metric | Value | +|-----------------------+---------------------| +| Backtesting from | 2019-01-01 00:00:00 | +| Backtesting to | 2019-05-01 00:00:00 | +| Total trades | 429 | +| First trade | 2019-01-01 18:30:00 | +| First trade Pair | EOS/USDT | +| Trades per day | 3.575 | +| Best day | 25.27% | +| Worst day | -30.67% | +| Avg. Duration Winners | 4:23:00 | +| Avg. Duration Loser | 6:55:00 | +| | | +| Max Drawdown | 50.63% | +| Drawdown Start | 2019-02-15 14:10:00 | +| Drawdown End | 2019-04-11 18:15:00 | +| Market change | -5.88% | +=============================================== ``` ### Backtesting report table @@ -227,12 +230,11 @@ It contains some useful key metrics about performance of your strategy on backte =============== SUMMARY METRICS =============== | Metric | Value | |-----------------------+---------------------| - +| Backtesting from | 2019-01-01 00:00:00 | +| Backtesting to | 2019-05-01 00:00:00 | | Total trades | 429 | | First trade | 2019-01-01 18:30:00 | | First trade Pair | EOS/USDT | -| Backtesting from | 2019-01-01 00:00:00 | -| Backtesting to | 2019-05-01 00:00:00 | | Trades per day | 3.575 | | Best day | 25.27% | | Worst day | -30.67% | diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 63fbfb48c..3a42ba4a9 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -367,11 +367,11 @@ def text_table_add_metrics(strat_results: Dict) -> str: if len(strat_results['trades']) > 0: min_trade = min(strat_results['trades'], key=lambda x: x['open_date']) metrics = [ + ('Backtesting from', strat_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)), + ('Backtesting to', strat_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)), ('Total trades', strat_results['total_trades']), ('First trade', min_trade['open_date'].strftime(DATETIME_PRINT_FORMAT)), ('First trade Pair', min_trade['pair']), - ('Backtesting from', strat_results['backtest_start'].strftime(DATETIME_PRINT_FORMAT)), - ('Backtesting to', strat_results['backtest_end'].strftime(DATETIME_PRINT_FORMAT)), ('Trades per day', strat_results['trades_per_day']), ('Best day', f"{round(strat_results['backtest_best_day'] * 100, 2)}%"), ('Worst day', f"{round(strat_results['backtest_worst_day'] * 100, 2)}%"), From 82c68f07cd281e86ea39db9571cd3a4cae6a7481 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 14 Jul 2020 20:16:18 +0200 Subject: [PATCH 079/244] Add stoploss-distance (to current price) to /status output --- freqtrade/rpc/rpc.py | 1 + freqtrade/rpc/telegram.py | 21 +++++++++++---------- tests/rpc/test_rpc.py | 2 ++ tests/rpc/test_rpc_apiserver.py | 1 + tests/rpc/test_rpc_telegram.py | 4 +++- 5 files changed, 18 insertions(+), 11 deletions(-) diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py index c73fcbf54..4e4d3ed6a 100644 --- a/freqtrade/rpc/rpc.py +++ b/freqtrade/rpc/rpc.py @@ -158,6 +158,7 @@ class RPC: current_profit_abs=current_profit_abs, stoploss_current_dist=stoploss_current_dist, stoploss_current_dist_ratio=round(stoploss_current_dist_ratio, 8), + stoploss_current_dist_pct=round(stoploss_current_dist_ratio * 100, 2), stoploss_entry_dist=stoploss_entry_dist, stoploss_entry_dist_ratio=round(stoploss_entry_dist_ratio, 8), open_order='({} {} rem={:.8f})'.format( diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py index 13cc1afaf..09be60795 100644 --- a/freqtrade/rpc/telegram.py +++ b/freqtrade/rpc/telegram.py @@ -236,17 +236,18 @@ class Telegram(RPC): ("*Close Profit:* `{close_profit_pct}`" if r['close_profit_pct'] is not None else ""), "*Current Profit:* `{current_profit_pct:.2f}%`", - - # Adding initial stoploss only if it is different from stoploss - "*Initial Stoploss:* `{initial_stop_loss:.8f}` " + - ("`({initial_stop_loss_pct:.2f}%)`") if ( - r['stop_loss'] != r['initial_stop_loss'] - and r['initial_stop_loss_pct'] is not None) else "", - - # Adding stoploss and stoploss percentage only if it is not None - "*Stoploss:* `{stop_loss:.8f}` " + - ("`({stop_loss_pct:.2f}%)`" if r['stop_loss_pct'] else ""), ] + if (r['stop_loss'] != r['initial_stop_loss'] + and r['initial_stop_loss_pct'] is not None): + # Adding initial stoploss only if it is different from stoploss + lines.append("*Initial Stoploss:* `{initial_stop_loss:.8f}` " + "`({initial_stop_loss_pct:.2f}%)`") + + # Adding stoploss and stoploss percentage only if it is not None + lines.append("*Stoploss:* `{stop_loss:.8f}` " + + ("`({stop_loss_pct:.2f}%)`" if r['stop_loss_pct'] else "")) + lines.append("*Stoploss distance:* `{stoploss_current_dist:.8f}` " + "`({stoploss_current_dist_pct:.2f}%)`") if r['open_order']: if r['sell_order_status']: lines.append("*Open Order:* `{open_order}` - `{sell_order_status}`") diff --git a/tests/rpc/test_rpc.py b/tests/rpc/test_rpc.py index de9327ba9..6d2c38868 100644 --- a/tests/rpc/test_rpc.py +++ b/tests/rpc/test_rpc.py @@ -100,6 +100,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None: 'initial_stop_loss_ratio': -0.1, 'stoploss_current_dist': -1.1080000000000002e-06, 'stoploss_current_dist_ratio': -0.10081893, + 'stoploss_current_dist_pct': -10.08, 'stoploss_entry_dist': -0.00010475, 'stoploss_entry_dist_ratio': -0.10448878, 'open_order': None, @@ -163,6 +164,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None: 'initial_stop_loss_ratio': -0.1, 'stoploss_current_dist': ANY, 'stoploss_current_dist_ratio': ANY, + 'stoploss_current_dist_pct': ANY, 'stoploss_entry_dist': -0.00010475, 'stoploss_entry_dist_ratio': -0.10448878, 'open_order': None, diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py index 355b63f48..04f9fc493 100644 --- a/tests/rpc/test_rpc_apiserver.py +++ b/tests/rpc/test_rpc_apiserver.py @@ -552,6 +552,7 @@ def test_api_status(botclient, mocker, ticker, fee, markets): 'initial_stop_loss_ratio': -0.1, 'stoploss_current_dist': -1.1080000000000002e-06, 'stoploss_current_dist_ratio': -0.10081893, + 'stoploss_current_dist_pct': -10.08, 'stoploss_entry_dist': -0.00010475, 'stoploss_entry_dist_ratio': -0.10448878, 'trade_id': 1, diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py index 0a4352f5b..a13d2e6c7 100644 --- a/tests/rpc/test_rpc_telegram.py +++ b/tests/rpc/test_rpc_telegram.py @@ -144,7 +144,7 @@ def test_authorized_only_exception(default_conf, mocker, caplog) -> None: assert log_has('Exception occurred within Telegram module', caplog) -def test_status(default_conf, update, mocker, fee, ticker,) -> None: +def test_telegram_status(default_conf, update, mocker, fee, ticker,) -> None: update.message.chat.id = "123" default_conf['telegram']['enabled'] = False default_conf['telegram']['chat_id'] = "123" @@ -174,6 +174,8 @@ def test_status(default_conf, update, mocker, fee, ticker,) -> None: 'stop_loss': 1.099e-05, 'sell_order_status': None, 'initial_stop_loss_pct': -0.05, + 'stoploss_current_dist': 1e-08, + 'stoploss_current_dist_pct': -0.02, 'stop_loss_pct': -0.01, 'open_order': '(limit buy rem=0.00000000)' }]), From d13cb4c05569e1116f07f5fef0fb896f42c13b7d Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 15 Jul 2020 19:49:51 +0200 Subject: [PATCH 080/244] Introduce safe_value_fallback_2 --- freqtrade/exchange/exchange.py | 6 ++--- freqtrade/freqtradebot.py | 4 ++-- freqtrade/misc.py | 16 ++++++++++++- tests/test_misc.py | 42 +++++++++++++++++++++++----------- 4 files changed, 49 insertions(+), 19 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index a3a548176..5c4e4c530 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -24,7 +24,7 @@ from freqtrade.exceptions import (DDosProtection, ExchangeError, InvalidOrderException, OperationalException, RetryableOrderError, TemporaryError) from freqtrade.exchange.common import BAD_EXCHANGES, retrier, retrier_async -from freqtrade.misc import deep_merge_dicts, safe_value_fallback +from freqtrade.misc import deep_merge_dicts, safe_value_fallback2 CcxtModuleType = Any @@ -1139,7 +1139,7 @@ class Exchange: if fee_curr in self.get_pair_base_currency(order['symbol']): # Base currency - divide by amount return round( - order['fee']['cost'] / safe_value_fallback(order, order, 'filled', 'amount'), 8) + order['fee']['cost'] / safe_value_fallback2(order, order, 'filled', 'amount'), 8) elif fee_curr in self.get_pair_quote_currency(order['symbol']): # Quote currency - divide by cost return round(order['fee']['cost'] / order['cost'], 8) if order['cost'] else None @@ -1152,7 +1152,7 @@ class Exchange: comb = self.get_valid_pair_combination(fee_curr, self._config['stake_currency']) tick = self.fetch_ticker(comb) - fee_to_quote_rate = safe_value_fallback(tick, tick, 'last', 'ask') + fee_to_quote_rate = safe_value_fallback2(tick, tick, 'last', 'ask') return round((order['fee']['cost'] * fee_to_quote_rate) / order['cost'], 8) except ExchangeError: return None diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index ab7c2b527..9a0b3c40f 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -20,7 +20,7 @@ from freqtrade.edge import Edge from freqtrade.exceptions import (DependencyException, ExchangeError, InvalidOrderException, PricingError) from freqtrade.exchange import timeframe_to_minutes, timeframe_to_next_date -from freqtrade.misc import safe_value_fallback +from freqtrade.misc import safe_value_fallback2 from freqtrade.pairlist.pairlistmanager import PairListManager from freqtrade.persistence import Trade from freqtrade.resolvers import ExchangeResolver, StrategyResolver @@ -984,7 +984,7 @@ class FreqtradeBot: logger.info('Buy order %s for %s.', reason, trade) # Using filled to determine the filled amount - filled_amount = safe_value_fallback(corder, order, 'filled', 'filled') + filled_amount = safe_value_fallback2(corder, order, 'filled', 'filled') if isclose(filled_amount, 0.0, abs_tol=constants.MATH_CLOSE_PREC): logger.info('Buy order fully cancelled. Removing %s from database.', trade) diff --git a/freqtrade/misc.py b/freqtrade/misc.py index ac6084eb7..623f6cb8f 100644 --- a/freqtrade/misc.py +++ b/freqtrade/misc.py @@ -134,7 +134,21 @@ def round_dict(d, n): return {k: (round(v, n) if isinstance(v, float) else v) for k, v in d.items()} -def safe_value_fallback(dict1: dict, dict2: dict, key1: str, key2: str, default_value=None): +def safe_value_fallback(obj: dict, key1: str, key2: str, default_value=None): + """ + Search a value in obj, return this if it's not None. + Then search key2 in obj - return that if it's not none - then use default_value. + Else falls back to None. + """ + if key1 in obj and obj[key1] is not None: + return obj[key1] + else: + if key2 in obj and obj[key2] is not None: + return obj[key2] + return default_value + + +def safe_value_fallback2(dict1: dict, dict2: dict, key1: str, key2: str, default_value=None): """ Search a value in dict1, return this if it's not None. Fall back to dict2 - return key2 from dict2 if it's not None. diff --git a/tests/test_misc.py b/tests/test_misc.py index 9fd6164d5..a185cbba4 100644 --- a/tests/test_misc.py +++ b/tests/test_misc.py @@ -11,7 +11,7 @@ from freqtrade.misc import (datesarray_to_datetimearray, file_dump_json, file_load_json, format_ms_time, pair_to_filename, plural, render_template, render_template_with_fallback, safe_value_fallback, - shorten_date) + safe_value_fallback2, shorten_date) def test_shorten_date() -> None: @@ -96,24 +96,40 @@ def test_format_ms_time() -> None: def test_safe_value_fallback(): + dict1 = {'keya': None, 'keyb': 2, 'keyc': 5, 'keyd': None} + assert safe_value_fallback(dict1, 'keya', 'keyb') == 2 + assert safe_value_fallback(dict1, 'keyb', 'keya') == 2 + + assert safe_value_fallback(dict1, 'keyb', 'keyc') == 2 + assert safe_value_fallback(dict1, 'keya', 'keyc') == 5 + + assert safe_value_fallback(dict1, 'keyc', 'keyb') == 5 + + assert safe_value_fallback(dict1, 'keya', 'keyd') is None + + assert safe_value_fallback(dict1, 'keyNo', 'keyNo') is None + assert safe_value_fallback(dict1, 'keyNo', 'keyNo', 55) == 55 + + +def test_safe_value_fallback2(): dict1 = {'keya': None, 'keyb': 2, 'keyc': 5, 'keyd': None} dict2 = {'keya': 20, 'keyb': None, 'keyc': 6, 'keyd': None} - assert safe_value_fallback(dict1, dict2, 'keya', 'keya') == 20 - assert safe_value_fallback(dict2, dict1, 'keya', 'keya') == 20 + assert safe_value_fallback2(dict1, dict2, 'keya', 'keya') == 20 + assert safe_value_fallback2(dict2, dict1, 'keya', 'keya') == 20 - assert safe_value_fallback(dict1, dict2, 'keyb', 'keyb') == 2 - assert safe_value_fallback(dict2, dict1, 'keyb', 'keyb') == 2 + assert safe_value_fallback2(dict1, dict2, 'keyb', 'keyb') == 2 + assert safe_value_fallback2(dict2, dict1, 'keyb', 'keyb') == 2 - assert safe_value_fallback(dict1, dict2, 'keyc', 'keyc') == 5 - assert safe_value_fallback(dict2, dict1, 'keyc', 'keyc') == 6 + assert safe_value_fallback2(dict1, dict2, 'keyc', 'keyc') == 5 + assert safe_value_fallback2(dict2, dict1, 'keyc', 'keyc') == 6 - assert safe_value_fallback(dict1, dict2, 'keyd', 'keyd') is None - assert safe_value_fallback(dict2, dict1, 'keyd', 'keyd') is None - assert safe_value_fallback(dict2, dict1, 'keyd', 'keyd', 1234) == 1234 + assert safe_value_fallback2(dict1, dict2, 'keyd', 'keyd') is None + assert safe_value_fallback2(dict2, dict1, 'keyd', 'keyd') is None + assert safe_value_fallback2(dict2, dict1, 'keyd', 'keyd', 1234) == 1234 - assert safe_value_fallback(dict1, dict2, 'keyNo', 'keyNo') is None - assert safe_value_fallback(dict2, dict1, 'keyNo', 'keyNo') is None - assert safe_value_fallback(dict2, dict1, 'keyNo', 'keyNo', 1234) == 1234 + assert safe_value_fallback2(dict1, dict2, 'keyNo', 'keyNo') is None + assert safe_value_fallback2(dict2, dict1, 'keyNo', 'keyNo') is None + assert safe_value_fallback2(dict2, dict1, 'keyNo', 'keyNo', 1234) == 1234 def test_plural() -> None: From c826f7a7077715f71416dd77001d927b858b0184 Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 15 Jul 2020 20:15:29 +0200 Subject: [PATCH 081/244] Add amount_requested to database --- freqtrade/persistence.py | 9 ++++++--- tests/test_persistence.py | 6 ++++++ 2 files changed, 12 insertions(+), 3 deletions(-) diff --git a/freqtrade/persistence.py b/freqtrade/persistence.py index a6c1de402..bdbb7628a 100644 --- a/freqtrade/persistence.py +++ b/freqtrade/persistence.py @@ -86,7 +86,7 @@ def check_migrate(engine) -> None: logger.debug(f'trying {table_back_name}') # Check for latest column - if not has_column(cols, 'timeframe'): + if not has_column(cols, 'amount_requested'): logger.info(f'Running database migration - backup available as {table_back_name}') fee_open = get_column_def(cols, 'fee_open', 'fee') @@ -119,6 +119,7 @@ def check_migrate(engine) -> None: cols, 'close_profit_abs', f"(amount * close_rate * (1 - {fee_close})) - {open_trade_price}") sell_order_status = get_column_def(cols, 'sell_order_status', 'null') + amount_requested = get_column_def(cols, 'amount_requested', 'amount') # Schema migration necessary engine.execute(f"alter table trades rename to {table_back_name}") @@ -134,7 +135,7 @@ def check_migrate(engine) -> None: fee_open, fee_open_cost, fee_open_currency, fee_close, fee_close_cost, fee_open_currency, open_rate, open_rate_requested, close_rate, close_rate_requested, close_profit, - stake_amount, amount, open_date, close_date, open_order_id, + stake_amount, amount, amount_requested, open_date, close_date, open_order_id, stop_loss, stop_loss_pct, initial_stop_loss, initial_stop_loss_pct, stoploss_order_id, stoploss_last_update, max_rate, min_rate, sell_reason, sell_order_status, strategy, @@ -153,7 +154,7 @@ def check_migrate(engine) -> None: {fee_close_cost} fee_close_cost, {fee_close_currency} fee_close_currency, open_rate, {open_rate_requested} open_rate_requested, close_rate, {close_rate_requested} close_rate_requested, close_profit, - stake_amount, amount, open_date, close_date, open_order_id, + stake_amount, amount, {amount_requested}, open_date, close_date, open_order_id, {stop_loss} stop_loss, {stop_loss_pct} stop_loss_pct, {initial_stop_loss} initial_stop_loss, {initial_stop_loss_pct} initial_stop_loss_pct, @@ -215,6 +216,7 @@ class Trade(_DECL_BASE): close_profit_abs = Column(Float) stake_amount = Column(Float, nullable=False) amount = Column(Float) + amount_requested = Column(Float) open_date = Column(DateTime, nullable=False, default=datetime.utcnow) close_date = Column(DateTime) open_order_id = Column(String) @@ -256,6 +258,7 @@ class Trade(_DECL_BASE): 'is_open': self.is_open, 'exchange': self.exchange, 'amount': round(self.amount, 8), + 'amount_requested': round(self.amount_requested, 8), 'stake_amount': round(self.stake_amount, 8), 'strategy': self.strategy, 'ticker_interval': self.timeframe, # DEPRECATED diff --git a/tests/test_persistence.py b/tests/test_persistence.py index 8dd27e53a..c39b2015e 100644 --- a/tests/test_persistence.py +++ b/tests/test_persistence.py @@ -457,6 +457,7 @@ def test_migrate_old(mocker, default_conf, fee): assert trade.close_rate_requested is None assert trade.is_open == 1 assert trade.amount == amount + assert trade.amount_requested == amount assert trade.stake_amount == default_conf.get("stake_amount") assert trade.pair == "ETC/BTC" assert trade.exchange == "bittrex" @@ -546,6 +547,7 @@ def test_migrate_new(mocker, default_conf, fee, caplog): assert trade.close_rate_requested is None assert trade.is_open == 1 assert trade.amount == amount + assert trade.amount_requested == amount assert trade.stake_amount == default_conf.get("stake_amount") assert trade.pair == "ETC/BTC" assert trade.exchange == "binance" @@ -725,6 +727,7 @@ def test_to_json(default_conf, fee): pair='ETH/BTC', stake_amount=0.001, amount=123.0, + amount_requested=123.0, fee_open=fee.return_value, fee_close=fee.return_value, open_date=arrow.utcnow().shift(hours=-2).datetime, @@ -757,6 +760,7 @@ def test_to_json(default_conf, fee): 'close_rate': None, 'close_rate_requested': None, 'amount': 123.0, + 'amount_requested': 123.0, 'stake_amount': 0.001, 'close_profit': None, 'close_profit_abs': None, @@ -786,6 +790,7 @@ def test_to_json(default_conf, fee): pair='XRP/BTC', stake_amount=0.001, amount=100.0, + amount_requested=101.0, fee_open=fee.return_value, fee_close=fee.return_value, open_date=arrow.utcnow().shift(hours=-2).datetime, @@ -808,6 +813,7 @@ def test_to_json(default_conf, fee): 'open_rate': 0.123, 'close_rate': 0.125, 'amount': 100.0, + 'amount_requested': 101.0, 'stake_amount': 0.001, 'stop_loss': None, 'stop_loss_abs': None, From eafab38db3b35d66ba927b0bc69934c40178bdde Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 15 Jul 2020 20:20:14 +0200 Subject: [PATCH 082/244] Complete implementation of amount_requested --- freqtrade/freqtradebot.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index 9a0b3c40f..c1149b8c2 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -532,6 +532,7 @@ class FreqtradeBot: # we assume the order is executed at the price requested buy_limit_filled_price = buy_limit_requested + amount_requested = amount if order_status == 'expired' or order_status == 'rejected': order_tif = self.strategy.order_time_in_force['buy'] @@ -568,6 +569,7 @@ class FreqtradeBot: pair=pair, stake_amount=stake_amount, amount=amount, + amount_requested=amount_requested, fee_open=fee, fee_close=fee, open_rate=buy_limit_filled_price, From c1c018d8feb1843c18271f821dd5d36185db3d13 Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 15 Jul 2020 20:27:00 +0200 Subject: [PATCH 083/244] Fix tests that require amount_requested --- tests/conftest.py | 3 +++ tests/rpc/test_rpc.py | 2 ++ tests/rpc/test_rpc_apiserver.py | 3 +++ 3 files changed, 8 insertions(+) diff --git a/tests/conftest.py b/tests/conftest.py index 43dc8ca78..8501a98b9 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -176,6 +176,7 @@ def create_mock_trades(fee): pair='ETH/BTC', stake_amount=0.001, amount=123.0, + amount_requested=123.0, fee_open=fee.return_value, fee_close=fee.return_value, open_rate=0.123, @@ -188,6 +189,7 @@ def create_mock_trades(fee): pair='ETC/BTC', stake_amount=0.001, amount=123.0, + amount_requested=123.0, fee_open=fee.return_value, fee_close=fee.return_value, open_rate=0.123, @@ -204,6 +206,7 @@ def create_mock_trades(fee): pair='ETC/BTC', stake_amount=0.001, amount=123.0, + amount_requested=124.0, fee_open=fee.return_value, fee_close=fee.return_value, open_rate=0.123, diff --git a/tests/rpc/test_rpc.py b/tests/rpc/test_rpc.py index de9327ba9..ddbbe395c 100644 --- a/tests/rpc/test_rpc.py +++ b/tests/rpc/test_rpc.py @@ -80,6 +80,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None: 'close_rate': None, 'current_rate': 1.099e-05, 'amount': 91.07468124, + 'amount_requested': 91.07468124, 'stake_amount': 0.001, 'close_profit': None, 'close_profit_pct': None, @@ -143,6 +144,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None: 'close_rate': None, 'current_rate': ANY, 'amount': 91.07468124, + 'amount_requested': 91.07468124, 'stake_amount': 0.001, 'close_profit': None, 'close_profit_pct': None, diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py index 355b63f48..13c11d29d 100644 --- a/tests/rpc/test_rpc_apiserver.py +++ b/tests/rpc/test_rpc_apiserver.py @@ -520,6 +520,7 @@ def test_api_status(botclient, mocker, ticker, fee, markets): assert_response(rc) assert len(rc.json) == 1 assert rc.json == [{'amount': 91.07468124, + 'amount_requested': 91.07468124, 'base_currency': 'BTC', 'close_date': None, 'close_date_hum': None, @@ -641,6 +642,7 @@ def test_api_forcebuy(botclient, mocker, fee): fbuy_mock = MagicMock(return_value=Trade( pair='ETH/ETH', amount=1, + amount_requested=1, exchange='bittrex', stake_amount=1, open_rate=0.245441, @@ -657,6 +659,7 @@ def test_api_forcebuy(botclient, mocker, fee): data='{"pair": "ETH/BTC"}') assert_response(rc) assert rc.json == {'amount': 1, + 'amount_requested': 1, 'trade_id': None, 'close_date': None, 'close_date_hum': None, From 3721736aafbcbd06b8cfd1e94e8244360d481b7b Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 15 Jul 2020 20:28:07 +0200 Subject: [PATCH 084/244] Convert to real amount before placing order to keep the correct amount in the database --- freqtrade/freqtradebot.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index c1149b8c2..5c0de94a1 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -523,7 +523,7 @@ class FreqtradeBot: time_in_force=time_in_force): logger.info(f"User requested abortion of buying {pair}") return False - + amount = self.exchange.amount_to_precision(pair, amount) order = self.exchange.buy(pair=pair, ordertype=order_type, amount=amount, rate=buy_limit_requested, time_in_force=time_in_force) From 98f2e79f27292b8e8d6feac5c6cd00660635c069 Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 15 Jul 2020 20:51:52 +0200 Subject: [PATCH 085/244] Adjust tests to use correctly trimmed amount --- freqtrade/persistence.py | 2 +- tests/rpc/test_rpc.py | 8 ++++---- tests/rpc/test_rpc_apiserver.py | 6 +++--- tests/rpc/test_rpc_telegram.py | 12 ++++++------ tests/test_freqtradebot.py | 20 ++++++++++---------- 5 files changed, 24 insertions(+), 24 deletions(-) diff --git a/freqtrade/persistence.py b/freqtrade/persistence.py index bdbb7628a..245b1c790 100644 --- a/freqtrade/persistence.py +++ b/freqtrade/persistence.py @@ -276,7 +276,7 @@ class Trade(_DECL_BASE): 'open_timestamp': int(self.open_date.timestamp() * 1000), 'open_rate': self.open_rate, 'open_rate_requested': self.open_rate_requested, - 'open_trade_price': self.open_trade_price, + 'open_trade_price': round(self.open_trade_price, 8), 'close_date_hum': (arrow.get(self.close_date).humanize() if self.close_date else None), diff --git a/tests/rpc/test_rpc.py b/tests/rpc/test_rpc.py index ddbbe395c..2d5370e1e 100644 --- a/tests/rpc/test_rpc.py +++ b/tests/rpc/test_rpc.py @@ -79,8 +79,8 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None: 'open_rate': 1.098e-05, 'close_rate': None, 'current_rate': 1.099e-05, - 'amount': 91.07468124, - 'amount_requested': 91.07468124, + 'amount': 91.07468123, + 'amount_requested': 91.07468123, 'stake_amount': 0.001, 'close_profit': None, 'close_profit_pct': None, @@ -143,8 +143,8 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None: 'open_rate': 1.098e-05, 'close_rate': None, 'current_rate': ANY, - 'amount': 91.07468124, - 'amount_requested': 91.07468124, + 'amount': 91.07468123, + 'amount_requested': 91.07468123, 'stake_amount': 0.001, 'close_profit': None, 'close_profit_pct': None, diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py index 13c11d29d..c7259bdc6 100644 --- a/tests/rpc/test_rpc_apiserver.py +++ b/tests/rpc/test_rpc_apiserver.py @@ -519,8 +519,8 @@ def test_api_status(botclient, mocker, ticker, fee, markets): rc = client_get(client, f"{BASE_URI}/status") assert_response(rc) assert len(rc.json) == 1 - assert rc.json == [{'amount': 91.07468124, - 'amount_requested': 91.07468124, + assert rc.json == [{'amount': 91.07468123, + 'amount_requested': 91.07468123, 'base_currency': 'BTC', 'close_date': None, 'close_date_hum': None, @@ -696,7 +696,7 @@ def test_api_forcebuy(botclient, mocker, fee): 'min_rate': None, 'open_order_id': '123456', 'open_rate_requested': None, - 'open_trade_price': 0.2460546025, + 'open_trade_price': 0.24605460, 'sell_reason': None, 'sell_order_status': None, 'strategy': None, diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py index 0a4352f5b..669c6dc89 100644 --- a/tests/rpc/test_rpc_telegram.py +++ b/tests/rpc/test_rpc_telegram.py @@ -690,7 +690,7 @@ def test_reload_config_handle(default_conf, update, mocker) -> None: assert 'reloading config' in msg_mock.call_args_list[0][0][0] -def test_forcesell_handle(default_conf, update, ticker, fee, +def test_telegram_forcesell_handle(default_conf, update, ticker, fee, ticker_sell_up, mocker) -> None: mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0) rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock()) @@ -729,7 +729,7 @@ def test_forcesell_handle(default_conf, update, ticker, fee, 'pair': 'ETH/BTC', 'gain': 'profit', 'limit': 1.173e-05, - 'amount': 91.07468123861567, + 'amount': 91.07468123, 'order_type': 'limit', 'open_rate': 1.098e-05, 'current_rate': 1.173e-05, @@ -743,8 +743,8 @@ def test_forcesell_handle(default_conf, update, ticker, fee, } == last_msg -def test_forcesell_down_handle(default_conf, update, ticker, fee, - ticker_sell_down, mocker) -> None: +def test_telegram_forcesell_down_handle(default_conf, update, ticker, fee, + ticker_sell_down, mocker) -> None: mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price', return_value=15000.0) rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock()) @@ -788,7 +788,7 @@ def test_forcesell_down_handle(default_conf, update, ticker, fee, 'pair': 'ETH/BTC', 'gain': 'loss', 'limit': 1.043e-05, - 'amount': 91.07468123861567, + 'amount': 91.07468123, 'order_type': 'limit', 'open_rate': 1.098e-05, 'current_rate': 1.043e-05, @@ -836,7 +836,7 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None 'pair': 'ETH/BTC', 'gain': 'loss', 'limit': 1.099e-05, - 'amount': 91.07468123861567, + 'amount': 91.07468123, 'order_type': 'limit', 'open_rate': 1.098e-05, 'current_rate': 1.099e-05, diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py index ada0d87fd..685b269d7 100644 --- a/tests/test_freqtradebot.py +++ b/tests/test_freqtradebot.py @@ -595,7 +595,7 @@ def test_create_trade_minimal_amount(default_conf, ticker, limit_buy_order, freqtrade.create_trade('ETH/BTC') rate, amount = buy_mock.call_args[1]['rate'], buy_mock.call_args[1]['amount'] - assert rate * amount >= default_conf['stake_amount'] + assert rate * amount <= default_conf['stake_amount'] def test_create_trade_too_small_stake_amount(default_conf, ticker, limit_buy_order, @@ -782,7 +782,7 @@ def test_process_trade_creation(default_conf, ticker, limit_buy_order, assert trade.open_date is not None assert trade.exchange == 'bittrex' assert trade.open_rate == 0.00001098 - assert trade.amount == 91.07468123861567 + assert trade.amount == 91.07468123 assert log_has( 'Buy signal found: about create a new trade with stake_amount: 0.001 ...', caplog @@ -1009,7 +1009,7 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None: call_args = buy_mm.call_args_list[0][1] assert call_args['pair'] == pair assert call_args['rate'] == bid - assert call_args['amount'] == stake_amount / bid + assert call_args['amount'] == round(stake_amount / bid, 8) buy_rate_mock.reset_mock() # Should create an open trade with an open order id @@ -1029,7 +1029,7 @@ def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None: call_args = buy_mm.call_args_list[1][1] assert call_args['pair'] == pair assert call_args['rate'] == fix_price - assert call_args['amount'] == stake_amount / fix_price + assert call_args['amount'] == round(stake_amount / fix_price, 8) # In case of closed order limit_buy_order['status'] = 'closed' @@ -1407,7 +1407,7 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog, assert freqtrade.handle_stoploss_on_exchange(trade) is False cancel_order_mock.assert_called_once_with(100, 'ETH/BTC') - stoploss_order_mock.assert_called_once_with(amount=85.32423208191126, + stoploss_order_mock.assert_called_once_with(amount=85.32423208, pair='ETH/BTC', order_types=freqtrade.strategy.order_types, stop_price=0.00002346 * 0.95) @@ -1595,7 +1595,7 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog, # stoploss should be set to 1% as trailing is on assert trade.stop_loss == 0.00002346 * 0.99 cancel_order_mock.assert_called_once_with(100, 'NEO/BTC') - stoploss_order_mock.assert_called_once_with(amount=2132892.491467577, + stoploss_order_mock.assert_called_once_with(amount=2132892.49146757, pair='NEO/BTC', order_types=freqtrade.strategy.order_types, stop_price=0.00002346 * 0.99) @@ -2577,7 +2577,7 @@ def test_execute_sell_up(default_conf, ticker, fee, ticker_sell_up, mocker) -> N 'pair': 'ETH/BTC', 'gain': 'profit', 'limit': 1.172e-05, - 'amount': 91.07468123861567, + 'amount': 91.07468123, 'order_type': 'limit', 'open_rate': 1.098e-05, 'current_rate': 1.173e-05, @@ -2626,7 +2626,7 @@ def test_execute_sell_down(default_conf, ticker, fee, ticker_sell_down, mocker) 'pair': 'ETH/BTC', 'gain': 'loss', 'limit': 1.044e-05, - 'amount': 91.07468123861567, + 'amount': 91.07468123, 'order_type': 'limit', 'open_rate': 1.098e-05, 'current_rate': 1.043e-05, @@ -2682,7 +2682,7 @@ def test_execute_sell_down_stoploss_on_exchange_dry_run(default_conf, ticker, fe 'pair': 'ETH/BTC', 'gain': 'loss', 'limit': 1.08801e-05, - 'amount': 91.07468123861567, + 'amount': 91.07468123, 'order_type': 'limit', 'open_rate': 1.098e-05, 'current_rate': 1.043e-05, @@ -2887,7 +2887,7 @@ def test_execute_sell_market_order(default_conf, ticker, fee, 'pair': 'ETH/BTC', 'gain': 'profit', 'limit': 1.172e-05, - 'amount': 91.07468123861567, + 'amount': 91.07468123, 'order_type': 'market', 'open_rate': 1.098e-05, 'current_rate': 1.173e-05, From de46744aa9c80437767e86cf77aa95e8c43cddbd Mon Sep 17 00:00:00 2001 From: Matthias Date: Wed, 15 Jul 2020 21:02:31 +0200 Subject: [PATCH 086/244] Use filled before amount for order data closes #3579 --- freqtrade/exchange/exchange.py | 1 - freqtrade/freqtradebot.py | 11 ++++++----- freqtrade/persistence.py | 3 ++- tests/rpc/test_rpc_telegram.py | 2 +- 4 files changed, 9 insertions(+), 8 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index 5c4e4c530..e6ea75a63 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -1167,7 +1167,6 @@ class Exchange: return (order['fee']['cost'], order['fee']['currency'], self.calculate_fee_rate(order)) - # calculate rate ? (order['fee']['cost'] / (order['amount'] * order['price'])) def is_exchange_bad(exchange_name: str) -> bool: diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index 5c0de94a1..5da7223c4 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -20,7 +20,7 @@ from freqtrade.edge import Edge from freqtrade.exceptions import (DependencyException, ExchangeError, InvalidOrderException, PricingError) from freqtrade.exchange import timeframe_to_minutes, timeframe_to_next_date -from freqtrade.misc import safe_value_fallback2 +from freqtrade.misc import safe_value_fallback, safe_value_fallback2 from freqtrade.pairlist.pairlistmanager import PairListManager from freqtrade.persistence import Trade from freqtrade.resolvers import ExchangeResolver, StrategyResolver @@ -553,14 +553,14 @@ class FreqtradeBot: order['filled'], order['amount'], order['remaining'] ) stake_amount = order['cost'] - amount = order['amount'] + amount = order['filled'] buy_limit_filled_price = order['price'] order_id = None # in case of FOK the order may be filled immediately and fully elif order_status == 'closed': stake_amount = order['cost'] - amount = order['amount'] + amount = safe_value_fallback(order, 'filled', 'amount') buy_limit_filled_price = order['price'] # Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL @@ -1249,7 +1249,8 @@ class FreqtradeBot: # Try update amount (binance-fix) try: new_amount = self.get_real_amount(trade, order, order_amount) - if not isclose(order['amount'], new_amount, abs_tol=constants.MATH_CLOSE_PREC): + if not isclose(safe_value_fallback(order, 'filled', 'amount'), new_amount, + abs_tol=constants.MATH_CLOSE_PREC): order['amount'] = new_amount order.pop('filled', None) trade.recalc_open_trade_price() @@ -1295,7 +1296,7 @@ class FreqtradeBot: """ # Init variables if order_amount is None: - order_amount = order['amount'] + order_amount = safe_value_fallback(order, 'filled', 'amount') # Only run for closed orders if trade.fee_updated(order.get('side', '')) or order['status'] == 'open': return order_amount diff --git a/freqtrade/persistence.py b/freqtrade/persistence.py index 245b1c790..7dc533c07 100644 --- a/freqtrade/persistence.py +++ b/freqtrade/persistence.py @@ -17,6 +17,7 @@ from sqlalchemy.orm.session import sessionmaker from sqlalchemy.pool import StaticPool from freqtrade.exceptions import OperationalException +from freqtrade.misc import safe_value_fallback logger = logging.getLogger(__name__) @@ -376,7 +377,7 @@ class Trade(_DECL_BASE): if order_type in ('market', 'limit') and order['side'] == 'buy': # Update open rate and actual amount self.open_rate = Decimal(order['price']) - self.amount = Decimal(order.get('filled', order['amount'])) + self.amount = Decimal(safe_value_fallback(order, 'filled', 'amount')) self.recalc_open_trade_price() logger.info('%s_BUY has been fulfilled for %s.', order_type.upper(), self) self.open_order_id = None diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py index 669c6dc89..08d4dc7ec 100644 --- a/tests/rpc/test_rpc_telegram.py +++ b/tests/rpc/test_rpc_telegram.py @@ -691,7 +691,7 @@ def test_reload_config_handle(default_conf, update, mocker) -> None: def test_telegram_forcesell_handle(default_conf, update, ticker, fee, - ticker_sell_up, mocker) -> None: + ticker_sell_up, mocker) -> None: mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0) rpc_mock = mocker.patch('freqtrade.rpc.telegram.Telegram.send_msg', MagicMock()) mocker.patch('freqtrade.rpc.telegram.Telegram._init', MagicMock()) From eaa7370174e1b5188192e99bb205f2f03e8063b0 Mon Sep 17 00:00:00 2001 From: thopd88 <20041501+thopd88@users.noreply.github.com> Date: Mon, 20 Jul 2020 11:08:18 +0700 Subject: [PATCH 087/244] add /delete command --- freqtrade/rpc/rpc.py | 22 ++++++++++++++++++++++ freqtrade/rpc/telegram.py | 20 ++++++++++++++++++++ 2 files changed, 42 insertions(+) diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py index c73fcbf54..b76259ad2 100644 --- a/freqtrade/rpc/rpc.py +++ b/freqtrade/rpc/rpc.py @@ -536,6 +536,28 @@ class RPC: return trade else: return None + + def _rpc_delete(self, trade_id: str) -> Dict[str, str]: + """ + Handler for delete . + Delete the given trade + """ + def _exec_delete(trade: Trade) -> None: + Trade.session.delete(trade) + Trade.session.flush() + + with self._freqtrade._sell_lock: + trade = Trade.get_trades( + trade_filter=[Trade.id == trade_id, ] + ).first() + if not trade: + logger.warning('delete: Invalid argument received') + raise RPCException('invalid argument') + + _exec_delete(trade) + Trade.session.flush() + self._freqtrade.wallets.update() + return {'result': f'Deleted trade {trade_id}.'} def _rpc_performance(self) -> List[Dict[str, Any]]: """ diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py index 13cc1afaf..7d006c4e5 100644 --- a/freqtrade/rpc/telegram.py +++ b/freqtrade/rpc/telegram.py @@ -92,6 +92,7 @@ class Telegram(RPC): CommandHandler('stop', self._stop), CommandHandler('forcesell', self._forcesell), CommandHandler('forcebuy', self._forcebuy), + CommandHandler('delete', self._delete), CommandHandler('performance', self._performance), CommandHandler('daily', self._daily), CommandHandler('count', self._count), @@ -496,6 +497,24 @@ class Telegram(RPC): except RPCException as e: self._send_msg(str(e)) + @authorized_only + def _delete(self, update: Update, context: CallbackContext) -> None: + """ + Handler for /delete . + Delete the given trade + :param bot: telegram bot + :param update: message update + :return: None + """ + + trade_id = context.args[0] if len(context.args) > 0 else None + try: + msg = self._rpc_delete(trade_id) + self._send_msg('Delete Result: `{result}`'.format(**msg)) + + except RPCException as e: + self._send_msg(str(e)) + @authorized_only def _performance(self, update: Update, context: CallbackContext) -> None: """ @@ -613,6 +632,7 @@ class Telegram(RPC): "*/forcesell |all:* `Instantly sells the given trade or all trades, " "regardless of profit`\n" f"{forcebuy_text if self._config.get('forcebuy_enable', False) else ''}" + "*/delete :* `Instantly delete the given trade in the database`\n" "*/performance:* `Show performance of each finished trade grouped by pair`\n" "*/daily :* `Shows profit or loss per day, over the last n days`\n" "*/count:* `Show number of trades running compared to allowed number of trades`" From 47748961697994c82fa30b8b825699382ae0d446 Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 20 Jul 2020 19:39:12 +0200 Subject: [PATCH 088/244] Evaluate average before price in order returns --- freqtrade/exchange/exchange.py | 1 + freqtrade/freqtradebot.py | 4 ++-- freqtrade/persistence.py | 6 +++--- 3 files changed, 6 insertions(+), 5 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index e6ea75a63..9858eb518 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -475,6 +475,7 @@ class Exchange: "id": order_id, 'pair': pair, 'price': rate, + 'average': rate, 'amount': _amount, 'cost': _amount * rate, 'type': ordertype, diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index 5da7223c4..8c5b5b460 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -554,14 +554,14 @@ class FreqtradeBot: ) stake_amount = order['cost'] amount = order['filled'] - buy_limit_filled_price = order['price'] + buy_limit_filled_price = safe_value_fallback(order, 'average', 'price') order_id = None # in case of FOK the order may be filled immediately and fully elif order_status == 'closed': stake_amount = order['cost'] amount = safe_value_fallback(order, 'filled', 'amount') - buy_limit_filled_price = order['price'] + buy_limit_filled_price = safe_value_fallback(order, 'average', 'price') # Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL fee = self.exchange.get_fee(symbol=pair, taker_or_maker='maker') diff --git a/freqtrade/persistence.py b/freqtrade/persistence.py index 7dc533c07..fdb816eab 100644 --- a/freqtrade/persistence.py +++ b/freqtrade/persistence.py @@ -369,20 +369,20 @@ class Trade(_DECL_BASE): """ order_type = order['type'] # Ignore open and cancelled orders - if order['status'] == 'open' or order['price'] is None: + if order['status'] == 'open' or safe_value_fallback(order, 'average', 'price') is None: return logger.info('Updating trade (id=%s) ...', self.id) if order_type in ('market', 'limit') and order['side'] == 'buy': # Update open rate and actual amount - self.open_rate = Decimal(order['price']) + self.open_rate = Decimal(safe_value_fallback(order, 'average', 'price')) self.amount = Decimal(safe_value_fallback(order, 'filled', 'amount')) self.recalc_open_trade_price() logger.info('%s_BUY has been fulfilled for %s.', order_type.upper(), self) self.open_order_id = None elif order_type in ('market', 'limit') and order['side'] == 'sell': - self.close(order['price']) + self.close(safe_value_fallback(order, 'average', 'price')) logger.info('%s_SELL has been fulfilled for %s.', order_type.upper(), self) elif order_type in ('stop_loss_limit', 'stop-loss', 'stop'): self.stoploss_order_id = None From f6bde8bd9cbad8a50b75d5c26c16011b3d5448d0 Mon Sep 17 00:00:00 2001 From: hroff-1902 Date: Wed, 22 Jul 2020 21:43:15 +0300 Subject: [PATCH 089/244] Improve exception message wordings --- freqtrade/pairlist/AgeFilter.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/freqtrade/pairlist/AgeFilter.py b/freqtrade/pairlist/AgeFilter.py index 7b6b126c3..d199154ba 100644 --- a/freqtrade/pairlist/AgeFilter.py +++ b/freqtrade/pairlist/AgeFilter.py @@ -26,9 +26,9 @@ class AgeFilter(IPairList): self._min_days_listed = pairlistconfig.get('min_days_listed', 10) if self._min_days_listed < 1: - raise OperationalException("AgeFilter requires min_days_listed must be >= 1") + raise OperationalException("AgeFilter requires min_days_listed be >= 1") if self._min_days_listed > exchange.ohlcv_candle_limit: - raise OperationalException("AgeFilter requires min_days_listed must not exceed " + raise OperationalException("AgeFilter requires min_days_listed be not exceeding " "exchange max request size " f"({exchange.ohlcv_candle_limit})") self._enabled = self._min_days_listed >= 1 From 5213abf510de8a3b43b671c9cfab65a6f81896b1 Mon Sep 17 00:00:00 2001 From: hroff-1902 Date: Wed, 22 Jul 2020 21:44:39 +0300 Subject: [PATCH 090/244] AgeFilter is always enabled --- freqtrade/pairlist/AgeFilter.py | 1 - 1 file changed, 1 deletion(-) diff --git a/freqtrade/pairlist/AgeFilter.py b/freqtrade/pairlist/AgeFilter.py index d199154ba..56e56ceeb 100644 --- a/freqtrade/pairlist/AgeFilter.py +++ b/freqtrade/pairlist/AgeFilter.py @@ -31,7 +31,6 @@ class AgeFilter(IPairList): raise OperationalException("AgeFilter requires min_days_listed be not exceeding " "exchange max request size " f"({exchange.ohlcv_candle_limit})") - self._enabled = self._min_days_listed >= 1 @property def needstickers(self) -> bool: From daee414d7a83e15123e025d4c6107ad0435f9d0f Mon Sep 17 00:00:00 2001 From: hroff-1902 Date: Wed, 22 Jul 2020 21:51:25 +0300 Subject: [PATCH 091/244] Fix docs formatting --- docs/configuration.md | 1 + 1 file changed, 1 insertion(+) diff --git a/docs/configuration.md b/docs/configuration.md index a200d6411..0e3d23927 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -663,6 +663,7 @@ Filters low-value coins which would not allow setting stoplosses. #### PriceFilter The `PriceFilter` allows filtering of pairs by price. Currently the following price filters are supported: + * `min_price` * `max_price` * `low_price_ratio` From a1e292f56a068a2183aa59e59036bb5ce8abe0c5 Mon Sep 17 00:00:00 2001 From: hroff-1902 Date: Wed, 22 Jul 2020 22:09:30 +0300 Subject: [PATCH 092/244] Improve docs --- docs/configuration.md | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/docs/configuration.md b/docs/configuration.md index 0e3d23927..f39a3c62d 100644 --- a/docs/configuration.md +++ b/docs/configuration.md @@ -669,19 +669,21 @@ The `PriceFilter` allows filtering of pairs by price. Currently the following pr * `low_price_ratio` The `min_price` setting removes pairs where the price is below the specified price. This is useful if you wish to avoid trading very low-priced pairs. -This option is disabled by default, and will only apply if set to <> 0. +This option is disabled by default (or set to 0), and will only apply if set to > 0. The `max_price` setting removes pairs where the price is above the specified price. This is useful if you wish to trade only low-priced pairs. -This option is disabled by default, and will only apply if set to <> 0. +This option is disabled by default (or set to 0), and will only apply if set to > 0. The `low_price_ratio` setting removes pairs where a raise of 1 price unit (pip) is above the `low_price_ratio` ratio. -This option is disabled by default, and will only apply if set to <> 0. +This option is disabled by default (or set to 0), and will only apply if set to > 0. + +For `PriceFiler` at least one of its `min_price`, `max_price` or `low_price_ratio` settings must be applied. Calculation example: -Min price precision is 8 decimals. If price is 0.00000011 - one step would be 0.00000012 - which is almost 10% higher than the previous value. +Min price precision for SHITCOIN/BTC is 8 decimals. If its price is 0.00000011 - one price step above would be 0.00000012, which is ~9% higher than the previous price value. You may filter out this pair by using PriceFilter with `low_price_ratio` set to 0.09 (9%) or with `min_price` set to 0.00000011, correspondingly. -These pairs are dangerous since it may be impossible to place the desired stoploss - and often result in high losses. +Low priced pairs are dangerous since they are often illiquid and it may also be impossible to place the desired stoploss, which can often result in high losses. Consider using PriceFilter with `low_price_ratio` set to a value which is less than the absolute value of your stoploss (for example, if your stoploss is -5% (-0.05), then the value for `low_price_ratio` can be 0.04 or even 0.02). #### ShuffleFilter From c78199d3d9fdd3c2a040a0fb476c053d60b6d7a1 Mon Sep 17 00:00:00 2001 From: hroff-1902 Date: Wed, 22 Jul 2020 22:21:30 +0300 Subject: [PATCH 093/244] Add checks for parameters of PriceFilter --- freqtrade/pairlist/PriceFilter.py | 13 ++++++++++--- 1 file changed, 10 insertions(+), 3 deletions(-) diff --git a/freqtrade/pairlist/PriceFilter.py b/freqtrade/pairlist/PriceFilter.py index b3b2f43dc..ae3ab9230 100644 --- a/freqtrade/pairlist/PriceFilter.py +++ b/freqtrade/pairlist/PriceFilter.py @@ -4,6 +4,7 @@ Price pair list filter import logging from typing import Any, Dict +from freqtrade.exceptions import OperationalException from freqtrade.pairlist.IPairList import IPairList @@ -18,11 +19,17 @@ class PriceFilter(IPairList): super().__init__(exchange, pairlistmanager, config, pairlistconfig, pairlist_pos) self._low_price_ratio = pairlistconfig.get('low_price_ratio', 0) + if self._low_price_ratio < 0: + raise OperationalException("PriceFilter requires low_price_ratio be >= 0") self._min_price = pairlistconfig.get('min_price', 0) + if self._min_price < 0: + raise OperationalException("PriceFilter requires min_price be >= 0") self._max_price = pairlistconfig.get('max_price', 0) - self._enabled = ((self._low_price_ratio != 0) or - (self._min_price != 0) or - (self._max_price != 0)) + if self._max_price < 0: + raise OperationalException("PriceFilter requires max_price be >= 0") + self._enabled = ((self._low_price_ratio > 0) or + (self._min_price > 0) or + (self._max_price > 0)) @property def needstickers(self) -> bool: From 5c2481082ef11633c56bd5d631550b746b18d271 Mon Sep 17 00:00:00 2001 From: hroff-1902 Date: Wed, 22 Jul 2020 22:46:30 +0300 Subject: [PATCH 094/244] Add tests for PriceFilter --- tests/pairlist/test_pairlist.py | 56 +++++++++++++++++++++++---------- 1 file changed, 40 insertions(+), 16 deletions(-) diff --git a/tests/pairlist/test_pairlist.py b/tests/pairlist/test_pairlist.py index efe4a784b..5a9472ef9 100644 --- a/tests/pairlist/test_pairlist.py +++ b/tests/pairlist/test_pairlist.py @@ -590,34 +590,58 @@ def test_agefilter_caching(mocker, markets, whitelist_conf_3, tickers, ohlcv_his assert freqtrade.exchange.get_historic_ohlcv.call_count == previous_call_count -@pytest.mark.parametrize("pairlistconfig,expected", [ +@pytest.mark.parametrize("pairlistconfig,desc_expected,exception_expected", [ ({"method": "PriceFilter", "low_price_ratio": 0.001, "min_price": 0.00000010, - "max_price": 1.0}, "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below " - "0.1% or below 0.00000010 or above 1.00000000.'}]" - ), + "max_price": 1.0}, + "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below " + "0.1% or below 0.00000010 or above 1.00000000.'}]", + None + ), ({"method": "PriceFilter", "low_price_ratio": 0.001, "min_price": 0.00000010}, - "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or below 0.00000010.'}]" - ), + "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or below 0.00000010.'}]", + None + ), ({"method": "PriceFilter", "low_price_ratio": 0.001, "max_price": 1.00010000}, - "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or above 1.00010000.'}]" - ), + "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or above 1.00010000.'}]", + None + ), ({"method": "PriceFilter", "min_price": 0.00002000}, - "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.00002000.'}]" - ), + "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.00002000.'}]", + None + ), ({"method": "PriceFilter"}, - "[{'PriceFilter': 'PriceFilter - No price filters configured.'}]" - ), + "[{'PriceFilter': 'PriceFilter - No price filters configured.'}]", + None + ), + ({"method": "PriceFilter", "low_price_ratio": -0.001}, + None, + "PriceFilter requires low_price_ratio be >= 0" + ), # OperationalException expected + ({"method": "PriceFilter", "min_price": -0.00000010}, + None, + "PriceFilter requires min_price be >= 0" + ), # OperationalException expected + ({"method": "PriceFilter", "max_price": -1.00010000}, + None, + "PriceFilter requires max_price be >= 0" + ), # OperationalException expected ]) -def test_pricefilter_desc(mocker, whitelist_conf, markets, pairlistconfig, expected): +def test_pricefilter_desc(mocker, whitelist_conf, markets, pairlistconfig, + desc_expected, exception_expected): mocker.patch.multiple('freqtrade.exchange.Exchange', markets=PropertyMock(return_value=markets), exchange_has=MagicMock(return_value=True) ) whitelist_conf['pairlists'] = [pairlistconfig] - freqtrade = get_patched_freqtradebot(mocker, whitelist_conf) - short_desc = str(freqtrade.pairlists.short_desc()) - assert short_desc == expected + if desc_expected is not None: + freqtrade = get_patched_freqtradebot(mocker, whitelist_conf) + short_desc = str(freqtrade.pairlists.short_desc()) + assert short_desc == desc_expected + else: # # OperationalException expected + with pytest.raises(OperationalException, + match=exception_expected): + freqtrade = get_patched_freqtradebot(mocker, whitelist_conf) def test_pairlistmanager_no_pairlist(mocker, markets, whitelist_conf, caplog): From 50767cd5694a79a4ac10ccba28f677470eb16725 Mon Sep 17 00:00:00 2001 From: hroff-1902 Date: Wed, 22 Jul 2020 22:48:29 +0300 Subject: [PATCH 095/244] Adjust tests for AgeFilter --- tests/pairlist/test_pairlist.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/pairlist/test_pairlist.py b/tests/pairlist/test_pairlist.py index 5a9472ef9..27b13bf69 100644 --- a/tests/pairlist/test_pairlist.py +++ b/tests/pairlist/test_pairlist.py @@ -547,7 +547,7 @@ def test_agefilter_min_days_listed_too_small(mocker, default_conf, markets, tick ) with pytest.raises(OperationalException, - match=r'AgeFilter requires min_days_listed must be >= 1'): + match=r'AgeFilter requires min_days_listed be >= 1'): get_patched_freqtradebot(mocker, default_conf) @@ -562,7 +562,7 @@ def test_agefilter_min_days_listed_too_large(mocker, default_conf, markets, tick ) with pytest.raises(OperationalException, - match=r'AgeFilter requires min_days_listed must not exceed ' + match=r'AgeFilter requires min_days_listed be not exceeding ' r'exchange max request size \([0-9]+\)'): get_patched_freqtradebot(mocker, default_conf) From f48250b4142acbe91c43e18f246b9f5889263095 Mon Sep 17 00:00:00 2001 From: hroff-1902 Date: Wed, 22 Jul 2020 22:56:24 +0300 Subject: [PATCH 096/244] Make flake happy --- tests/pairlist/test_pairlist.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/tests/pairlist/test_pairlist.py b/tests/pairlist/test_pairlist.py index 27b13bf69..c235367be 100644 --- a/tests/pairlist/test_pairlist.py +++ b/tests/pairlist/test_pairlist.py @@ -596,35 +596,35 @@ def test_agefilter_caching(mocker, markets, whitelist_conf_3, tickers, ohlcv_his "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below " "0.1% or below 0.00000010 or above 1.00000000.'}]", None - ), + ), ({"method": "PriceFilter", "low_price_ratio": 0.001, "min_price": 0.00000010}, "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or below 0.00000010.'}]", None - ), + ), ({"method": "PriceFilter", "low_price_ratio": 0.001, "max_price": 1.00010000}, "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.1% or above 1.00010000.'}]", None - ), + ), ({"method": "PriceFilter", "min_price": 0.00002000}, "[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.00002000.'}]", None - ), + ), ({"method": "PriceFilter"}, "[{'PriceFilter': 'PriceFilter - No price filters configured.'}]", None - ), + ), ({"method": "PriceFilter", "low_price_ratio": -0.001}, None, "PriceFilter requires low_price_ratio be >= 0" - ), # OperationalException expected + ), # OperationalException expected ({"method": "PriceFilter", "min_price": -0.00000010}, None, "PriceFilter requires min_price be >= 0" - ), # OperationalException expected + ), # OperationalException expected ({"method": "PriceFilter", "max_price": -1.00010000}, None, "PriceFilter requires max_price be >= 0" - ), # OperationalException expected + ), # OperationalException expected ]) def test_pricefilter_desc(mocker, whitelist_conf, markets, pairlistconfig, desc_expected, exception_expected): @@ -638,7 +638,7 @@ def test_pricefilter_desc(mocker, whitelist_conf, markets, pairlistconfig, freqtrade = get_patched_freqtradebot(mocker, whitelist_conf) short_desc = str(freqtrade.pairlists.short_desc()) assert short_desc == desc_expected - else: # # OperationalException expected + else: # OperationalException expected with pytest.raises(OperationalException, match=exception_expected): freqtrade = get_patched_freqtradebot(mocker, whitelist_conf) From 902e8fa62fce59c77bc809f4edad640e727c6f15 Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 26 Jul 2020 14:39:00 +0200 Subject: [PATCH 097/244] Fix wrong spelling in one subcomponent --- freqtrade/optimize/optimize_reports.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 3a42ba4a9..7e0a60566 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -142,7 +142,7 @@ def generate_sell_reason_stats(max_open_trades: int, results: DataFrame) -> List 'profit_sum': profit_sum, 'profit_sum_pct': round(profit_sum * 100, 2), 'profit_total_abs': result['profit_abs'].sum(), - 'profit_pct_total': profit_percent_tot, + 'profit_total_pct': profit_percent_tot, } ) return tabular_data @@ -338,7 +338,7 @@ def text_table_sell_reason(sell_reason_stats: List[Dict[str, Any]], stake_curren output = [[ t['sell_reason'], t['trades'], t['wins'], t['draws'], t['losses'], - t['profit_mean_pct'], t['profit_sum_pct'], t['profit_total_abs'], t['profit_pct_total'], + t['profit_mean_pct'], t['profit_sum_pct'], t['profit_total_abs'], t['profit_total_pct'], ] for t in sell_reason_stats] return tabulate(output, headers=headers, tablefmt="orgtbl", stralign="right") From 9ed5fed88738214c5b22acfe0fb0c8b7d72cc2ac Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 26 Jul 2020 15:17:54 +0200 Subject: [PATCH 098/244] Fix output format to be of an identical type --- freqtrade/optimize/optimize_reports.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 7e0a60566..2db941db4 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -208,9 +208,9 @@ def generate_daily_stats(results: DataFrame) -> Dict[str, Any]: 'draw_days': draw_days, 'losing_days': losing_days, 'winner_holding_avg': (timedelta(minutes=round(winning_trades['trade_duration'].mean())) - if not winning_trades.empty else '0:00'), + if not winning_trades.empty else timedelta()), 'loser_holding_avg': (timedelta(minutes=round(losing_trades['trade_duration'].mean())) - if not losing_trades.empty else '0:00'), + if not losing_trades.empty else timedelta()), } From 8d0f338bf2eed48e5ec9d61a9a98ddf0ec575502 Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 26 Jul 2020 15:23:21 +0200 Subject: [PATCH 099/244] Timestamps should be in ms --- freqtrade/optimize/optimize_reports.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 2db941db4..c0e1347cc 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -253,9 +253,9 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], 'left_open_trades': left_open_results, 'total_trades': len(results), 'backtest_start': min_date.datetime, - 'backtest_start_ts': min_date.timestamp, + 'backtest_start_ts': min_date.timestamp * 1000, 'backtest_end': max_date.datetime, - 'backtest_end_ts': max_date.timestamp, + 'backtest_end_ts': max_date.timestamp * 1000, 'backtest_days': backtest_days, 'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else None, @@ -272,9 +272,9 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], strat_stats.update({ 'max_drawdown': max_drawdown, 'drawdown_start': drawdown_start, - 'drawdown_start_ts': drawdown_start.timestamp(), + 'drawdown_start_ts': drawdown_start.timestamp() * 1000, 'drawdown_end': drawdown_end, - 'drawdown_end_ts': drawdown_end.timestamp(), + 'drawdown_end_ts': drawdown_end.timestamp() * 1000, }) except ValueError: strat_stats.update({ From 454046f74596123f7b0b3ba3f2a96f3d8dce32ef Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 26 Jul 2020 15:55:54 +0200 Subject: [PATCH 100/244] Add stake_currency and max_opeN_trades to backtest result --- freqtrade/optimize/optimize_reports.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index c0e1347cc..587ed303d 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -262,6 +262,8 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], 'market_change': market_change, 'pairlist': list(btdata.keys()), 'stake_amount': config['stake_amount'], + 'stake_currency': config['stake_currency'], + 'max_open_trades': config['max_open_trades'], **daily_stats, } result['strategy'][strategy] = strat_stats From 977a6d4e9cd8388eaf9a926aa7beaeb688573b3d Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 26 Jul 2020 16:10:48 +0200 Subject: [PATCH 101/244] Add profit_total to results line --- freqtrade/optimize/optimize_reports.py | 1 + 1 file changed, 1 insertion(+) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 587ed303d..6e0f9acea 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -72,6 +72,7 @@ def _generate_result_line(result: DataFrame, max_open_trades: int, first_column: 'profit_sum': result['profit_percent'].sum(), 'profit_sum_pct': result['profit_percent'].sum() * 100.0, 'profit_total_abs': result['profit_abs'].sum(), + 'profit_total': result['profit_percent'].sum() / max_open_trades, 'profit_total_pct': result['profit_percent'].sum() * 100.0 / max_open_trades, 'duration_avg': str(timedelta( minutes=round(result['trade_duration'].mean())) From aab5596fa6ed145a5bf3afb9a700272704bffd9b Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 27 Jul 2020 07:20:40 +0200 Subject: [PATCH 102/244] Convert trade open / close to timestamp (to allow uniform analysis of backtest and real trade data - while giving control of date-formatting to the endsystem. --- freqtrade/optimize/optimize_reports.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py index 6e0f9acea..f917e7cab 100644 --- a/freqtrade/optimize/optimize_reports.py +++ b/freqtrade/optimize/optimize_reports.py @@ -5,6 +5,7 @@ from typing import Any, Dict, List from arrow import Arrow from pandas import DataFrame +from numpy import int64 from tabulate import tabulate from freqtrade.constants import DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN @@ -246,6 +247,9 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame], skip_nan=True) daily_stats = generate_daily_stats(results) + results['open_timestamp'] = results['open_date'].astype(int64) // 1e6 + results['close_timestamp'] = results['close_date'].astype(int64) // 1e6 + backtest_days = (max_date - min_date).days strat_stats = { 'trades': results.to_dict(orient='records'), From 14cb29aae1d5fba8fe7d735ddfff7f0aa451434a Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 28 Jul 2020 08:16:55 +0200 Subject: [PATCH 103/244] Add test for remove_pumps in edge --- tests/edge/test_edge.py | 95 +++++++++++++++++++++++++++++++++++++++++ 1 file changed, 95 insertions(+) diff --git a/tests/edge/test_edge.py b/tests/edge/test_edge.py index cf9cb6fe1..7373778ad 100644 --- a/tests/edge/test_edge.py +++ b/tests/edge/test_edge.py @@ -409,3 +409,98 @@ def test_process_expectancy(mocker, edge_conf, fee, risk_reward_ratio, expectanc final = edge._process_expectancy(trades_df) assert len(final) == 0 assert isinstance(final, dict) + + +def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,): + edge_conf['edge']['min_trade_number'] = 2 + edge_conf['edge']['remove_pumps'] = True + freqtrade = get_patched_freqtradebot(mocker, edge_conf) + + freqtrade.exchange.get_fee = fee + edge = Edge(edge_conf, freqtrade.exchange, freqtrade.strategy) + + trades = [ + {'pair': 'TEST/BTC', + 'stoploss': -0.9, + 'profit_percent': '', + 'profit_abs': '', + 'open_time': np.datetime64('2018-10-03T00:05:00.000000000'), + 'close_time': np.datetime64('2018-10-03T00:10:00.000000000'), + 'open_index': 1, + 'close_index': 1, + 'trade_duration': '', + 'open_rate': 17, + 'close_rate': 15, + 'exit_type': 'sell_signal'}, + + {'pair': 'TEST/BTC', + 'stoploss': -0.9, + 'profit_percent': '', + 'profit_abs': '', + 'open_time': np.datetime64('2018-10-03T00:20:00.000000000'), + 'close_time': np.datetime64('2018-10-03T00:25:00.000000000'), + 'open_index': 4, + 'close_index': 4, + 'trade_duration': '', + 'open_rate': 20, + 'close_rate': 10, + 'exit_type': 'sell_signal'}, + {'pair': 'TEST/BTC', + 'stoploss': -0.9, + 'profit_percent': '', + 'profit_abs': '', + 'open_time': np.datetime64('2018-10-03T00:20:00.000000000'), + 'close_time': np.datetime64('2018-10-03T00:25:00.000000000'), + 'open_index': 4, + 'close_index': 4, + 'trade_duration': '', + 'open_rate': 20, + 'close_rate': 10, + 'exit_type': 'sell_signal'}, + {'pair': 'TEST/BTC', + 'stoploss': -0.9, + 'profit_percent': '', + 'profit_abs': '', + 'open_time': np.datetime64('2018-10-03T00:20:00.000000000'), + 'close_time': np.datetime64('2018-10-03T00:25:00.000000000'), + 'open_index': 4, + 'close_index': 4, + 'trade_duration': '', + 'open_rate': 20, + 'close_rate': 10, + 'exit_type': 'sell_signal'}, + {'pair': 'TEST/BTC', + 'stoploss': -0.9, + 'profit_percent': '', + 'profit_abs': '', + 'open_time': np.datetime64('2018-10-03T00:20:00.000000000'), + 'close_time': np.datetime64('2018-10-03T00:25:00.000000000'), + 'open_index': 4, + 'close_index': 4, + 'trade_duration': '', + 'open_rate': 20, + 'close_rate': 10, + 'exit_type': 'sell_signal'}, + + {'pair': 'TEST/BTC', + 'stoploss': -0.9, + 'profit_percent': '', + 'profit_abs': '', + 'open_time': np.datetime64('2018-10-03T00:30:00.000000000'), + 'close_time': np.datetime64('2018-10-03T00:40:00.000000000'), + 'open_index': 6, + 'close_index': 7, + 'trade_duration': '', + 'open_rate': 26, + 'close_rate': 134, + 'exit_type': 'sell_signal'} + ] + + trades_df = DataFrame(trades) + trades_df = edge._fill_calculable_fields(trades_df) + final = edge._process_expectancy(trades_df) + + assert 'TEST/BTC' in final + assert final['TEST/BTC'].stoploss == -0.9 + assert final['TEST/BTC'].nb_trades == len(trades_df) - 1 + assert round(final['TEST/BTC'].winrate, 10) == 0.0 From d1cbc567e4895111f877827c9007030a8cf843c1 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 28 Jul 2020 13:41:09 +0200 Subject: [PATCH 104/244] Fix filtering for bumped pairs --- freqtrade/edge/edge_positioning.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/freqtrade/edge/edge_positioning.py b/freqtrade/edge/edge_positioning.py index 41252ee51..1993eded3 100644 --- a/freqtrade/edge/edge_positioning.py +++ b/freqtrade/edge/edge_positioning.py @@ -281,8 +281,8 @@ class Edge: # # Removing Pumps if self.edge_config.get('remove_pumps', False): - results = results.groupby(['pair', 'stoploss']).apply( - lambda x: x[x['profit_abs'] < 2 * x['profit_abs'].std() + x['profit_abs'].mean()]) + results = results[results['profit_abs'] < 2 * results['profit_abs'].std() + + results['profit_abs'].mean()] ########################################################################## # Removing trades having a duration more than X minutes (set in config) From 071e82043aabb4e63aa4fdbe8426ceadb449c015 Mon Sep 17 00:00:00 2001 From: Matthias Date: Sat, 1 Aug 2020 15:59:50 +0200 Subject: [PATCH 105/244] Better handle cancelled buy orders --- freqtrade/exchange/exchange.py | 2 +- freqtrade/freqtradebot.py | 6 ++++++ tests/exchange/test_exchange.py | 2 +- tests/test_freqtradebot.py | 29 +++++++++++++++++++++++------ 4 files changed, 31 insertions(+), 8 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index 04ad10a68..c3779ff8e 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -999,7 +999,7 @@ class Exchange: if self.is_cancel_order_result_suitable(corder): return corder except InvalidOrderException: - logger.warning(f"Could not cancel order {order_id}.") + logger.warning(f"Could not cancel order {order_id} for {pair}.") try: order = self.fetch_order(order_id, pair) except InvalidOrderException: diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index a6d96ef77..b866842b7 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -976,6 +976,12 @@ class FreqtradeBot: reason = constants.CANCEL_REASON['TIMEOUT'] corder = self.exchange.cancel_order_with_result(trade.open_order_id, trade.pair, trade.amount) + # Avoid race condition where the order could not be cancelled coz its already filled. + # Simply bailing here is the only safe way - as this order will then be + # handled in the next iteration. + if corder.get('status') not in ('canceled', 'closed'): + logger.warning(f"Order {trade.open_order_id} for {trade.pair} not cancelled.") + return False else: # Order was cancelled already, so we can reuse the existing dict corder = order diff --git a/tests/exchange/test_exchange.py b/tests/exchange/test_exchange.py index 60c4847f6..4f5cfa9e1 100644 --- a/tests/exchange/test_exchange.py +++ b/tests/exchange/test_exchange.py @@ -1818,7 +1818,7 @@ def test_cancel_order_with_result_error(default_conf, mocker, exchange_name, cap res = exchange.cancel_order_with_result('1234', 'ETH/BTC', 1541) assert isinstance(res, dict) - assert log_has("Could not cancel order 1234.", caplog) + assert log_has("Could not cancel order 1234 for ETH/BTC.", caplog) assert log_has("Could not fetch cancelled order 1234.", caplog) assert res['amount'] == 1541 diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py index fd57eae6f..d93672ea7 100644 --- a/tests/test_freqtradebot.py +++ b/tests/test_freqtradebot.py @@ -2023,11 +2023,16 @@ def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_or rpc_mock = patch_RPCManager(mocker) cancel_order_mock = MagicMock(return_value=limit_buy_order_old) + cancel_buy_order = deepcopy(limit_buy_order_old) + cancel_buy_order['status'] = 'canceled' + cancel_order_wr_mock = MagicMock(return_value=cancel_buy_order) + patch_exchange(mocker) mocker.patch.multiple( 'freqtrade.exchange.Exchange', fetch_ticker=ticker, fetch_order=MagicMock(return_value=limit_buy_order_old), + cancel_order_with_result=cancel_order_wr_mock, cancel_order=cancel_order_mock, get_fee=fee ) @@ -2060,7 +2065,7 @@ def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_or freqtrade.strategy.check_buy_timeout = MagicMock(return_value=True) # Trade should be closed since the function returns true freqtrade.check_handle_timedout() - assert cancel_order_mock.call_count == 1 + assert cancel_order_wr_mock.call_count == 1 assert rpc_mock.call_count == 1 trades = Trade.query.filter(Trade.open_order_id.is_(open_trade.open_order_id)).all() nb_trades = len(trades) @@ -2071,7 +2076,9 @@ def test_check_handle_timedout_buy_usercustom(default_conf, ticker, limit_buy_or def test_check_handle_timedout_buy(default_conf, ticker, limit_buy_order_old, open_trade, fee, mocker) -> None: rpc_mock = patch_RPCManager(mocker) - cancel_order_mock = MagicMock(return_value=limit_buy_order_old) + limit_buy_cancel = deepcopy(limit_buy_order_old) + limit_buy_cancel['status'] = 'canceled' + cancel_order_mock = MagicMock(return_value=limit_buy_cancel) patch_exchange(mocker) mocker.patch.multiple( 'freqtrade.exchange.Exchange', @@ -2259,7 +2266,10 @@ def test_check_handle_cancelled_sell(default_conf, ticker, limit_sell_order_old, def test_check_handle_timedout_partial(default_conf, ticker, limit_buy_order_old_partial, open_trade, mocker) -> None: rpc_mock = patch_RPCManager(mocker) - cancel_order_mock = MagicMock(return_value=limit_buy_order_old_partial) + limit_buy_canceled = deepcopy(limit_buy_order_old_partial) + limit_buy_canceled['status'] = 'canceled' + + cancel_order_mock = MagicMock(return_value=limit_buy_canceled) patch_exchange(mocker) mocker.patch.multiple( 'freqtrade.exchange.Exchange', @@ -2392,7 +2402,11 @@ def test_check_handle_timedout_exception(default_conf, ticker, open_trade, mocke def test_handle_cancel_buy(mocker, caplog, default_conf, limit_buy_order) -> None: patch_RPCManager(mocker) patch_exchange(mocker) - cancel_order_mock = MagicMock(return_value=limit_buy_order) + cancel_buy_order = deepcopy(limit_buy_order) + cancel_buy_order['status'] = 'canceled' + del cancel_buy_order['filled'] + + cancel_order_mock = MagicMock(return_value=cancel_buy_order) mocker.patch('freqtrade.exchange.Exchange.cancel_order_with_result', cancel_order_mock) freqtrade = FreqtradeBot(default_conf) @@ -2412,9 +2426,12 @@ def test_handle_cancel_buy(mocker, caplog, default_conf, limit_buy_order) -> Non assert not freqtrade.handle_cancel_buy(trade, limit_buy_order, reason) assert cancel_order_mock.call_count == 1 - limit_buy_order['filled'] = 2 - mocker.patch('freqtrade.exchange.Exchange.cancel_order', side_effect=InvalidOrderException) + # Order remained open for some reason (cancel failed) + cancel_buy_order['status'] = 'open' + cancel_order_mock = MagicMock(return_value=cancel_buy_order) + mocker.patch('freqtrade.exchange.Exchange.cancel_order_with_result', cancel_order_mock) assert not freqtrade.handle_cancel_buy(trade, limit_buy_order, reason) + assert log_has_re(r"Order .* for .* not cancelled.", caplog) @pytest.mark.parametrize("limit_buy_order_canceled_empty", ['binance', 'ftx', 'kraken', 'bittrex'], From 99bfa839ebcc6673ec435c53250b27b0ca9d437b Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 2 Aug 2020 10:12:15 +0200 Subject: [PATCH 106/244] Improve logging for sell exception --- freqtrade/freqtradebot.py | 2 +- tests/test_freqtradebot.py | 3 ++- 2 files changed, 3 insertions(+), 2 deletions(-) diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py index b866842b7..967f68b90 100644 --- a/freqtrade/freqtradebot.py +++ b/freqtrade/freqtradebot.py @@ -660,7 +660,7 @@ class FreqtradeBot: trades_closed += 1 except DependencyException as exception: - logger.warning('Unable to sell trade: %s', exception) + logger.warning('Unable to sell trade %s: %s', trade.pair, exception) # Updating wallets if any trade occured if trades_closed: diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py index d93672ea7..15dd5d4ee 100644 --- a/tests/test_freqtradebot.py +++ b/tests/test_freqtradebot.py @@ -1660,6 +1660,7 @@ def test_exit_positions_exception(mocker, default_conf, limit_buy_order, caplog) trade = MagicMock() trade.open_order_id = None trade.open_fee = 0.001 + trade.pair = 'ETH/BTC' trades = [trade] # Test raise of DependencyException exception @@ -1669,7 +1670,7 @@ def test_exit_positions_exception(mocker, default_conf, limit_buy_order, caplog) ) n = freqtrade.exit_positions(trades) assert n == 0 - assert log_has('Unable to sell trade: ', caplog) + assert log_has('Unable to sell trade ETH/BTC: ', caplog) def test_update_trade_state(mocker, default_conf, limit_buy_order, caplog) -> None: From 6c77feee8501a5290a4e6941ae873a31da92edcf Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 2 Aug 2020 10:18:19 +0200 Subject: [PATCH 107/244] Improve some exchange logs --- freqtrade/exchange/exchange.py | 4 ++-- tests/exchange/test_exchange.py | 12 ++++++++++++ 2 files changed, 14 insertions(+), 2 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index c3779ff8e..dcdb36c84 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -1022,10 +1022,10 @@ class Exchange: return self._api.fetch_order(order_id, pair) except ccxt.OrderNotFound as e: raise RetryableOrderError( - f'Order not found (id: {order_id}). Message: {e}') from e + f'Order not found (pair: {pair} id: {order_id}). Message: {e}') from e except ccxt.InvalidOrder as e: raise InvalidOrderException( - f'Tried to get an invalid order (id: {order_id}). Message: {e}') from e + f'Tried to get an invalid order (pair: {pair} id: {order_id}). Message: {e}') from e except ccxt.DDoSProtection as e: raise DDosProtection(e) from e except (ccxt.NetworkError, ccxt.ExchangeError) as e: diff --git a/tests/exchange/test_exchange.py b/tests/exchange/test_exchange.py index 4f5cfa9e1..673399fa6 100644 --- a/tests/exchange/test_exchange.py +++ b/tests/exchange/test_exchange.py @@ -2315,6 +2315,18 @@ def test_calculate_fee_rate(mocker, default_conf, order, expected) -> None: (3, 3, 1), (0, 1, 2), (1, 1, 1), + (0, 4, 17), + (1, 4, 10), + (2, 4, 5), + (3, 4, 2), + (4, 4, 1), + (0, 5, 26), + (1, 5, 17), + (2, 5, 10), + (3, 5, 5), + (4, 5, 2), + (5, 5, 1), + ]) def test_calculate_backoff(retrycount, max_retries, expected): assert calculate_backoff(retrycount, max_retries) == expected From 3915101d2d8d0a7c4d3f0bfcc547cddbefa27205 Mon Sep 17 00:00:00 2001 From: Matthias Date: Sun, 2 Aug 2020 10:24:10 +0200 Subject: [PATCH 108/244] Add more backoff to fetch_order endpoint --- freqtrade/exchange/exchange.py | 2 +- freqtrade/exchange/ftx.py | 2 +- tests/exchange/test_exchange.py | 5 +++-- tests/exchange/test_ftx.py | 1 + 4 files changed, 6 insertions(+), 4 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index dcdb36c84..ec787ca3a 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -1008,7 +1008,7 @@ class Exchange: return order - @retrier + @retrier(retries=5) def fetch_order(self, order_id: str, pair: str) -> Dict: if self._config['dry_run']: try: diff --git a/freqtrade/exchange/ftx.py b/freqtrade/exchange/ftx.py index b75f77ca4..01e8267ad 100644 --- a/freqtrade/exchange/ftx.py +++ b/freqtrade/exchange/ftx.py @@ -78,7 +78,7 @@ class Ftx(Exchange): except ccxt.BaseError as e: raise OperationalException(e) from e - @retrier + @retrier(retries=5) def fetch_stoploss_order(self, order_id: str, pair: str) -> Dict: if self._config['dry_run']: try: diff --git a/tests/exchange/test_exchange.py b/tests/exchange/test_exchange.py index 673399fa6..350c2d3cb 100644 --- a/tests/exchange/test_exchange.py +++ b/tests/exchange/test_exchange.py @@ -1896,10 +1896,10 @@ def test_fetch_order(default_conf, mocker, exchange_name): assert tm.call_args_list[1][0][0] == 2 assert tm.call_args_list[2][0][0] == 5 assert tm.call_args_list[3][0][0] == 10 - assert api_mock.fetch_order.call_count == API_RETRY_COUNT + 1 + assert api_mock.fetch_order.call_count == 6 ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name, - 'fetch_order', 'fetch_order', + 'fetch_order', 'fetch_order', retries=6, order_id='_', pair='TKN/BTC') @@ -1932,6 +1932,7 @@ def test_fetch_stoploss_order(default_conf, mocker, exchange_name): ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name, 'fetch_stoploss_order', 'fetch_order', + retries=6, order_id='_', pair='TKN/BTC') diff --git a/tests/exchange/test_ftx.py b/tests/exchange/test_ftx.py index eb7d83be3..bed92d276 100644 --- a/tests/exchange/test_ftx.py +++ b/tests/exchange/test_ftx.py @@ -154,4 +154,5 @@ def test_fetch_stoploss_order(default_conf, mocker): ccxt_exceptionhandlers(mocker, default_conf, api_mock, 'ftx', 'fetch_stoploss_order', 'fetch_orders', + retries=6, order_id='_', pair='TKN/BTC') From 5ff09a06c7a74875184aea4cfc159d32825b4566 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 3 Aug 2020 07:17:30 +0000 Subject: [PATCH 109/244] Bump pytest from 5.4.3 to 6.0.1 Bumps [pytest](https://github.com/pytest-dev/pytest) from 5.4.3 to 6.0.1. - [Release notes](https://github.com/pytest-dev/pytest/releases) - [Changelog](https://github.com/pytest-dev/pytest/blob/master/CHANGELOG.rst) - [Commits](https://github.com/pytest-dev/pytest/compare/5.4.3...6.0.1) Signed-off-by: dependabot[bot] --- requirements-dev.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements-dev.txt b/requirements-dev.txt index 9f9be638d..c02a439d3 100644 --- a/requirements-dev.txt +++ b/requirements-dev.txt @@ -8,7 +8,7 @@ flake8==3.8.3 flake8-type-annotations==0.1.0 flake8-tidy-imports==4.1.0 mypy==0.782 -pytest==5.4.3 +pytest==6.0.1 pytest-asyncio==0.14.0 pytest-cov==2.10.0 pytest-mock==3.2.0 From 809b3ddafc5863caab228cd75c10f5ae8e496e5a Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 3 Aug 2020 07:17:31 +0000 Subject: [PATCH 110/244] Bump mkdocs-material from 5.5.0 to 5.5.1 Bumps [mkdocs-material](https://github.com/squidfunk/mkdocs-material) from 5.5.0 to 5.5.1. - [Release notes](https://github.com/squidfunk/mkdocs-material/releases) - [Changelog](https://github.com/squidfunk/mkdocs-material/blob/master/docs/changelog.md) - [Commits](https://github.com/squidfunk/mkdocs-material/compare/5.5.0...5.5.1) Signed-off-by: dependabot[bot] --- docs/requirements-docs.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/requirements-docs.txt b/docs/requirements-docs.txt index 2a2405f8e..c30661b6a 100644 --- a/docs/requirements-docs.txt +++ b/docs/requirements-docs.txt @@ -1,2 +1,2 @@ -mkdocs-material==5.5.0 +mkdocs-material==5.5.1 mdx_truly_sane_lists==1.2 From 1855a444fa29f574aa29f5f6e936c9bfd1d879e0 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 3 Aug 2020 07:17:32 +0000 Subject: [PATCH 111/244] Bump pandas from 1.0.5 to 1.1.0 Bumps [pandas](https://github.com/pandas-dev/pandas) from 1.0.5 to 1.1.0. - [Release notes](https://github.com/pandas-dev/pandas/releases) - [Changelog](https://github.com/pandas-dev/pandas/blob/master/RELEASE.md) - [Commits](https://github.com/pandas-dev/pandas/compare/v1.0.5...v1.1.0) Signed-off-by: dependabot[bot] --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 2392d4cb2..d65f90325 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,4 +2,4 @@ -r requirements-common.txt numpy==1.19.1 -pandas==1.0.5 +pandas==1.1.0 From b3f04d89d259c49f8db954aababe9e812f6f4ca6 Mon Sep 17 00:00:00 2001 From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com> Date: Mon, 3 Aug 2020 07:17:50 +0000 Subject: [PATCH 112/244] Bump ccxt from 1.32.7 to 1.32.45 Bumps [ccxt](https://github.com/ccxt/ccxt) from 1.32.7 to 1.32.45. - [Release notes](https://github.com/ccxt/ccxt/releases) - [Changelog](https://github.com/ccxt/ccxt/blob/master/doc/exchanges-by-country.rst) - [Commits](https://github.com/ccxt/ccxt/compare/1.32.7...1.32.45) Signed-off-by: dependabot[bot] --- requirements-common.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements-common.txt b/requirements-common.txt index 942fe3792..62cde9dbc 100644 --- a/requirements-common.txt +++ b/requirements-common.txt @@ -1,6 +1,6 @@ # requirements without requirements installable via conda # mainly used for Raspberry pi installs -ccxt==1.32.7 +ccxt==1.32.45 SQLAlchemy==1.3.18 python-telegram-bot==12.8 arrow==0.15.8 From a33346c6b660c518a70bdde9a56dc805046d08b8 Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 3 Aug 2020 19:21:46 +0200 Subject: [PATCH 113/244] Fix testing errors - which surfaced with pytest 6.0.1 --- freqtrade/exchange/exchange.py | 4 ++-- tests/test_freqtradebot.py | 2 ++ 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index 04ad10a68..c3fe3e601 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -258,8 +258,8 @@ class Exchange: api.urls['api'] = api.urls['test'] logger.info("Enabled Sandbox API on %s", name) else: - logger.warning(name, "No Sandbox URL in CCXT, exiting. " - "Please check your config.json") + logger.warning(f"No Sandbox URL in CCXT for {name}, exiting. " + "Please check your config.json") raise OperationalException(f'Exchange {name} does not provide a sandbox api') def _load_async_markets(self, reload: bool = False) -> None: diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py index fd57eae6f..dcddf34e3 100644 --- a/tests/test_freqtradebot.py +++ b/tests/test_freqtradebot.py @@ -1726,6 +1726,7 @@ def test_update_trade_state_withorderdict(default_conf, trades_for_order, limit_ amount=amount, exchange='binance', open_rate=0.245441, + open_date=arrow.utcnow().datetime, fee_open=fee.return_value, fee_close=fee.return_value, open_order_id="123456", @@ -1816,6 +1817,7 @@ def test_update_trade_state_sell(default_conf, trades_for_order, limit_sell_orde open_rate=0.245441, fee_open=0.0025, fee_close=0.0025, + open_date=arrow.utcnow().datetime, open_order_id="123456", is_open=True, ) From a3688b159fcf703a5cc390d0ae70d884db717762 Mon Sep 17 00:00:00 2001 From: Matthias Date: Mon, 3 Aug 2020 19:28:57 +0200 Subject: [PATCH 114/244] Improve formatting --- freqtrade/exchange/exchange.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py index c3fe3e601..c4ed75878 100644 --- a/freqtrade/exchange/exchange.py +++ b/freqtrade/exchange/exchange.py @@ -258,8 +258,8 @@ class Exchange: api.urls['api'] = api.urls['test'] logger.info("Enabled Sandbox API on %s", name) else: - logger.warning(f"No Sandbox URL in CCXT for {name}, exiting. " - "Please check your config.json") + logger.warning( + f"No Sandbox URL in CCXT for {name}, exiting. Please check your config.json") raise OperationalException(f'Exchange {name} does not provide a sandbox api') def _load_async_markets(self, reload: bool = False) -> None: From 215972c68f3efa6397a6d5a6b17fa2c4ea1a3bea Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 4 Aug 2020 14:41:22 +0200 Subject: [PATCH 115/244] Implement /delete for api-server --- freqtrade/rpc/api_server.py | 11 +++++++++++ freqtrade/rpc/rpc.py | 4 ++-- freqtrade/rpc/telegram.py | 2 +- 3 files changed, 14 insertions(+), 3 deletions(-) diff --git a/freqtrade/rpc/api_server.py b/freqtrade/rpc/api_server.py index 351842e10..f7481fee4 100644 --- a/freqtrade/rpc/api_server.py +++ b/freqtrade/rpc/api_server.py @@ -200,6 +200,8 @@ class ApiServer(RPC): view_func=self._ping, methods=['GET']) self.app.add_url_rule(f'{BASE_URI}/trades', 'trades', view_func=self._trades, methods=['GET']) + self.app.add_url_rule(f'{BASE_URI}/trades/', 'trades_delete', + view_func=self._trades_delete, methods=['DELETE']) # Combined actions and infos self.app.add_url_rule(f'{BASE_URI}/blacklist', 'blacklist', view_func=self._blacklist, methods=['GET', 'POST']) @@ -424,6 +426,15 @@ class ApiServer(RPC): results = self._rpc_trade_history(limit) return self.rest_dump(results) + @require_login + @rpc_catch_errors + def _trades_delete(self, tradeid): + """ + Handler for DELETE /trades/ endpoint. + """ + result = self._rpc_delete(tradeid) + return self.rest_dump(result) + @require_login @rpc_catch_errors def _whitelist(self): diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py index f6627ed16..b79cac243 100644 --- a/freqtrade/rpc/rpc.py +++ b/freqtrade/rpc/rpc.py @@ -537,7 +537,7 @@ class RPC: return trade else: return None - + def _rpc_delete(self, trade_id: str) -> Dict[str, str]: """ Handler for delete . @@ -558,7 +558,7 @@ class RPC: _exec_delete(trade) Trade.session.flush() self._freqtrade.wallets.update() - return {'result': f'Deleted trade {trade_id}.'} + return {'result_msg': f'Deleted trade {trade_id}.'} def _rpc_performance(self) -> List[Dict[str, Any]]: """ diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py index 20c1cc9dc..293e3a686 100644 --- a/freqtrade/rpc/telegram.py +++ b/freqtrade/rpc/telegram.py @@ -547,7 +547,7 @@ class Telegram(RPC): trade_id = context.args[0] if len(context.args) > 0 else None try: msg = self._rpc_delete(trade_id) - self._send_msg('Delete Result: `{result}`'.format(**msg)) + self._send_msg('Delete Result: `{result_msg}`'.format(**msg)) except RPCException as e: self._send_msg(str(e)) From 26c7341b7d712b4f1bb671722ee0bf0f6e55a42b Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 4 Aug 2020 14:41:38 +0200 Subject: [PATCH 116/244] Add test for api-server DELETE trade --- tests/rpc/test_rpc_apiserver.py | 38 ++++++++++++++++++++++++++++++++- 1 file changed, 37 insertions(+), 1 deletion(-) diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py index f4d7b8ca3..99f17383f 100644 --- a/tests/rpc/test_rpc_apiserver.py +++ b/tests/rpc/test_rpc_apiserver.py @@ -50,6 +50,12 @@ def client_get(client, url): 'Origin': 'http://example.com'}) +def client_delete(client, url): + # Add fake Origin to ensure CORS kicks in + return client.delete(url, headers={'Authorization': _basic_auth_str(_TEST_USER, _TEST_PASS), + 'Origin': 'http://example.com'}) + + def assert_response(response, expected_code=200, needs_cors=True): assert response.status_code == expected_code assert response.content_type == "application/json" @@ -352,7 +358,7 @@ def test_api_daily(botclient, mocker, ticker, fee, markets): assert rc.json['data'][0]['date'] == str(datetime.utcnow().date()) -def test_api_trades(botclient, mocker, ticker, fee, markets): +def test_api_trades(botclient, mocker, fee, markets): ftbot, client = botclient patch_get_signal(ftbot, (True, False)) mocker.patch.multiple( @@ -376,6 +382,36 @@ def test_api_trades(botclient, mocker, ticker, fee, markets): assert rc.json['trades_count'] == 1 +def test_api_delete_trade(botclient, mocker, fee, markets): + ftbot, client = botclient + patch_get_signal(ftbot, (True, False)) + mocker.patch.multiple( + 'freqtrade.exchange.Exchange', + markets=PropertyMock(return_value=markets) + ) + rc = client_delete(client, f"{BASE_URI}/trades/1") + # Error - trade won't exist yet. + assert_response(rc, 502) + + create_mock_trades(fee) + trades = Trade.query.all() + assert len(trades) > 2 + + rc = client_delete(client, f"{BASE_URI}/trades/1") + assert_response(rc) + assert rc.json['result_msg'] == 'Deleted trade 1.' + assert len(trades) - 1 == len(Trade.query.all()) + + rc = client_delete(client, f"{BASE_URI}/trades/1") + # Trade is gone now. + assert_response(rc, 502) + assert len(trades) - 1 == len(Trade.query.all()) + rc = client_delete(client, f"{BASE_URI}/trades/2") + assert_response(rc) + assert rc.json['result_msg'] == 'Deleted trade 2.' + assert len(trades) - 2 == len(Trade.query.all()) + + def test_api_edge_disabled(botclient, mocker, ticker, fee, markets): ftbot, client = botclient patch_get_signal(ftbot, (True, False)) From 4b0164770c50d3efdef5fb979bdcf71452f01ef6 Mon Sep 17 00:00:00 2001 From: Matthias Date: Tue, 4 Aug 2020 14:49:59 +0200 Subject: [PATCH 117/244] Add test for /delete --- freqtrade/rpc/telegram.py | 4 ++-- tests/rpc/test_rpc_telegram.py | 27 +++++++++++++++++++++++++++ 2 files changed, 29 insertions(+), 2 deletions(-) diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py index 293e3a686..19d3e1bd9 100644 --- a/freqtrade/rpc/telegram.py +++ b/freqtrade/rpc/telegram.py @@ -94,7 +94,7 @@ class Telegram(RPC): CommandHandler('forcesell', self._forcesell), CommandHandler('forcebuy', self._forcebuy), CommandHandler('trades', self._trades), - CommandHandler('delete', self._delete), + CommandHandler('delete', self._delete_trade), CommandHandler('performance', self._performance), CommandHandler('daily', self._daily), CommandHandler('count', self._count), @@ -535,7 +535,7 @@ class Telegram(RPC): self._send_msg(str(e)) @authorized_only - def _delete(self, update: Update, context: CallbackContext) -> None: + def _delete_trade(self, update: Update, context: CallbackContext) -> None: """ Handler for /delete . Delete the given trade diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py index 62a4f49a1..c8ac05d0d 100644 --- a/tests/rpc/test_rpc_telegram.py +++ b/tests/rpc/test_rpc_telegram.py @@ -1177,6 +1177,33 @@ def test_telegram_trades(mocker, update, default_conf, fee): assert "
" in msg_mock.call_args_list[0][0][0]
 
 
+def test_telegram_delete_trade(mocker, update, default_conf, fee):
+    msg_mock = MagicMock()
+    mocker.patch.multiple(
+        'freqtrade.rpc.telegram.Telegram',
+        _init=MagicMock(),
+        _send_msg=msg_mock
+    )
+
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    telegram = Telegram(freqtradebot)
+    context = MagicMock()
+    context.args = []
+
+    telegram._delete_trade(update=update, context=context)
+    assert "invalid argument" in msg_mock.call_args_list[0][0][0]
+
+    msg_mock.reset_mock()
+    create_mock_trades(fee)
+
+    context = MagicMock()
+    context.args = [1]
+    telegram._delete_trade(update=update, context=context)
+    msg_mock.call_count == 1
+    assert "Delete Result" in msg_mock.call_args_list[0][0][0]
+    assert "Deleted trade 1." in msg_mock.call_args_list[0][0][0]
+
+
 def test_help_handle(default_conf, update, mocker) -> None:
     msg_mock = MagicMock()
     mocker.patch.multiple(

From b954af33cfa06387684297c3f6cce35813603414 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 4 Aug 2020 16:01:41 +0200
Subject: [PATCH 118/244] Fix type erorr in callable

---
 freqtrade/rpc/api_server.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/freqtrade/rpc/api_server.py b/freqtrade/rpc/api_server.py
index f7481fee4..f28a35ff0 100644
--- a/freqtrade/rpc/api_server.py
+++ b/freqtrade/rpc/api_server.py
@@ -56,7 +56,7 @@ def require_login(func: Callable[[Any, Any], Any]):
 
 
 # Type should really be Callable[[ApiServer], Any], but that will create a circular dependency
-def rpc_catch_errors(func: Callable[[Any], Any]):
+def rpc_catch_errors(func: Callable[..., Any]):
 
     def func_wrapper(obj, *args, **kwargs):
 

From 9163c7f3d3bb0854bcaceea5cef2980ea8ef6a19 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 4 Aug 2020 19:43:05 +0200
Subject: [PATCH 119/244] Improve api response

---
 freqtrade/rpc/api_server.py     |  4 ++++
 tests/rpc/test_rpc_apiserver.py | 17 ++++++++++++++---
 2 files changed, 18 insertions(+), 3 deletions(-)

diff --git a/freqtrade/rpc/api_server.py b/freqtrade/rpc/api_server.py
index f28a35ff0..06926ac35 100644
--- a/freqtrade/rpc/api_server.py
+++ b/freqtrade/rpc/api_server.py
@@ -431,6 +431,10 @@ class ApiServer(RPC):
     def _trades_delete(self, tradeid):
         """
         Handler for DELETE /trades/ endpoint.
+        Removes the trade from the database (tries to cancel open orders first!)
+        get:
+          param:
+            tradeid: Numeric trade-id assigned to the trade.
         """
         result = self._rpc_delete(tradeid)
         return self.rest_dump(result)
diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py
index 99f17383f..ccdec6fdc 100644
--- a/tests/rpc/test_rpc_apiserver.py
+++ b/tests/rpc/test_rpc_apiserver.py
@@ -385,31 +385,42 @@ def test_api_trades(botclient, mocker, fee, markets):
 def test_api_delete_trade(botclient, mocker, fee, markets):
     ftbot, client = botclient
     patch_get_signal(ftbot, (True, False))
+    stoploss_mock = MagicMock()
+    cancel_mock = MagicMock()
     mocker.patch.multiple(
         'freqtrade.exchange.Exchange',
-        markets=PropertyMock(return_value=markets)
+        markets=PropertyMock(return_value=markets),
+        cancel_order=cancel_mock,
+        cancel_stoploss_order=stoploss_mock,
     )
     rc = client_delete(client, f"{BASE_URI}/trades/1")
     # Error - trade won't exist yet.
     assert_response(rc, 502)
 
     create_mock_trades(fee)
+    ftbot.strategy.order_types['stoploss_on_exchange'] = True
     trades = Trade.query.all()
+    trades[1].stoploss_order_id = '1234'
     assert len(trades) > 2
 
     rc = client_delete(client, f"{BASE_URI}/trades/1")
     assert_response(rc)
-    assert rc.json['result_msg'] == 'Deleted trade 1.'
+    assert rc.json['result_msg'] == 'Deleted trade 1. Closed 1 open orders.'
     assert len(trades) - 1 == len(Trade.query.all())
+    assert cancel_mock.call_count == 1
 
+    cancel_mock.reset_mock()
     rc = client_delete(client, f"{BASE_URI}/trades/1")
     # Trade is gone now.
     assert_response(rc, 502)
+    assert cancel_mock.call_count == 0
+
     assert len(trades) - 1 == len(Trade.query.all())
     rc = client_delete(client, f"{BASE_URI}/trades/2")
     assert_response(rc)
-    assert rc.json['result_msg'] == 'Deleted trade 2.'
+    assert rc.json['result_msg'] == 'Deleted trade 2. Closed 2 open orders.'
     assert len(trades) - 2 == len(Trade.query.all())
+    assert stoploss_mock.call_count == 1
 
 
 def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):

From 817f5289db94895a6db6e0b045fcf40aa75047b1 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 4 Aug 2020 19:43:22 +0200
Subject: [PATCH 120/244] /delete should Cancel open orders (and stoploss
 orders)

---
 freqtrade/rpc/rpc.py  | 46 +++++++++++++++++++++++-----------
 tests/rpc/test_rpc.py | 57 ++++++++++++++++++++++++++++++++++++++++++-
 2 files changed, 88 insertions(+), 15 deletions(-)

diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index b79cac243..58fdebe85 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -11,9 +11,9 @@ from typing import Any, Dict, List, Optional, Tuple
 import arrow
 from numpy import NAN, mean
 
-from freqtrade.exceptions import ExchangeError, PricingError
-
-from freqtrade.exchange import timeframe_to_msecs, timeframe_to_minutes
+from freqtrade.exceptions import (ExchangeError, InvalidOrderException,
+                                  PricingError)
+from freqtrade.exchange import timeframe_to_minutes, timeframe_to_msecs
 from freqtrade.misc import shorten_date
 from freqtrade.persistence import Trade
 from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
@@ -541,24 +541,42 @@ class RPC:
     def _rpc_delete(self, trade_id: str) -> Dict[str, str]:
         """
         Handler for delete .
-        Delete the given trade
+        Delete the given trade and close eventually existing open orders.
         """
-        def _exec_delete(trade: Trade) -> None:
-            Trade.session.delete(trade)
-            Trade.session.flush()
-
         with self._freqtrade._sell_lock:
-            trade = Trade.get_trades(
-                trade_filter=[Trade.id == trade_id, ]
-            ).first()
+            c_count = 0
+            trade = Trade.get_trades(trade_filter=[Trade.id == trade_id]).first()
             if not trade:
-                logger.warning('delete: Invalid argument received')
+                logger.warning('delete trade: Invalid argument received')
                 raise RPCException('invalid argument')
 
-            _exec_delete(trade)
+            # Try cancelling regular order if that exists
+            if trade.open_order_id:
+                try:
+                    self._freqtrade.exchange.cancel_order(trade.open_order_id, trade.pair)
+                    c_count += 1
+                except (ExchangeError, InvalidOrderException):
+                    pass
+
+            # cancel stoploss on exchange ...
+            if (self._freqtrade.strategy.order_types.get('stoploss_on_exchange')
+                    and trade.stoploss_order_id):
+                try:
+                    self._freqtrade.exchange.cancel_stoploss_order(trade.stoploss_order_id,
+                                                                   trade.pair)
+                    c_count += 1
+                except (ExchangeError, InvalidOrderException):
+                    pass
+
+            Trade.session.delete(trade)
             Trade.session.flush()
             self._freqtrade.wallets.update()
-            return {'result_msg': f'Deleted trade {trade_id}.'}
+            return {
+                'result': 'success',
+                'trade_id': trade_id,
+                'result_msg': f'Deleted trade {trade_id}. Closed {c_count} open orders.',
+                'cancel_order_count': c_count,
+            }
 
     def _rpc_performance(self) -> List[Dict[str, Any]]:
         """
diff --git a/tests/rpc/test_rpc.py b/tests/rpc/test_rpc.py
index e5859fcd9..b4a781459 100644
--- a/tests/rpc/test_rpc.py
+++ b/tests/rpc/test_rpc.py
@@ -8,7 +8,7 @@ import pytest
 from numpy import isnan
 
 from freqtrade.edge import PairInfo
-from freqtrade.exceptions import ExchangeError, TemporaryError
+from freqtrade.exceptions import ExchangeError, InvalidOrderException, TemporaryError
 from freqtrade.persistence import Trade
 from freqtrade.rpc import RPC, RPCException
 from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
@@ -291,6 +291,61 @@ def test_rpc_trade_history(mocker, default_conf, markets, fee):
     assert trades['trades'][0]['pair'] == 'XRP/BTC'
 
 
+def test_rpc_delete_trade(mocker, default_conf, fee, markets, caplog):
+    mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
+    stoploss_mock = MagicMock()
+    cancel_mock = MagicMock()
+    mocker.patch.multiple(
+        'freqtrade.exchange.Exchange',
+        markets=PropertyMock(return_value=markets),
+        cancel_order=cancel_mock,
+        cancel_stoploss_order=stoploss_mock,
+    )
+
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+    freqtradebot.strategy.order_types['stoploss_on_exchange'] = True
+    create_mock_trades(fee)
+    rpc = RPC(freqtradebot)
+    with pytest.raises(RPCException, match='invalid argument'):
+        rpc._rpc_delete('200')
+
+    create_mock_trades(fee)
+    trades = Trade.query.all()
+    trades[1].stoploss_order_id = '1234'
+    trades[2].stoploss_order_id = '1234'
+    assert len(trades) > 2
+
+    res = rpc._rpc_delete('1')
+    assert isinstance(res, dict)
+    assert res['result'] == 'success'
+    assert res['trade_id'] == '1'
+    assert res['cancel_order_count'] == 1
+    assert cancel_mock.call_count == 1
+    assert stoploss_mock.call_count == 0
+    cancel_mock.reset_mock()
+    stoploss_mock.reset_mock()
+
+    res = rpc._rpc_delete('2')
+    assert isinstance(res, dict)
+    assert cancel_mock.call_count == 1
+    assert stoploss_mock.call_count == 1
+    assert res['cancel_order_count'] == 2
+
+    stoploss_mock = mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order',
+                                 side_effect=InvalidOrderException)
+
+    res = rpc._rpc_delete('3')
+    assert stoploss_mock.call_count == 1
+    stoploss_mock.reset_mock()
+
+    cancel_mock = mocker.patch('freqtrade.exchange.Exchange.cancel_order',
+                               side_effect=InvalidOrderException)
+
+    res = rpc._rpc_delete('4')
+    assert cancel_mock.call_count == 1
+    assert stoploss_mock.call_count == 0
+
+
 def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
                               limit_buy_order, limit_sell_order, mocker) -> None:
     mocker.patch.multiple(

From 075c73b9e38e7f71ce5eb32e2bc8930b1c947fa0 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 4 Aug 2020 19:56:49 +0200
Subject: [PATCH 121/244] Improve formatting of telegram message

---
 freqtrade/rpc/rpc.py           | 4 ++--
 freqtrade/rpc/telegram.py      | 5 ++++-
 tests/rpc/test_rpc_telegram.py | 2 +-
 3 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index 58fdebe85..8a1ff7e96 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -6,7 +6,7 @@ from abc import abstractmethod
 from datetime import date, datetime, timedelta
 from enum import Enum
 from math import isnan
-from typing import Any, Dict, List, Optional, Tuple
+from typing import Any, Dict, List, Optional, Tuple, Union
 
 import arrow
 from numpy import NAN, mean
@@ -538,7 +538,7 @@ class RPC:
         else:
             return None
 
-    def _rpc_delete(self, trade_id: str) -> Dict[str, str]:
+    def _rpc_delete(self, trade_id: str) -> Dict[str, Union[str, int]]:
         """
         Handler for delete .
         Delete the given trade and close eventually existing open orders.
diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py
index 19d3e1bd9..dde19fddb 100644
--- a/freqtrade/rpc/telegram.py
+++ b/freqtrade/rpc/telegram.py
@@ -547,7 +547,10 @@ class Telegram(RPC):
         trade_id = context.args[0] if len(context.args) > 0 else None
         try:
             msg = self._rpc_delete(trade_id)
-            self._send_msg('Delete Result: `{result_msg}`'.format(**msg))
+            self._send_msg((
+                'Delete Result: `{result_msg}`'
+                'Please make sure to take care of this asset on the exchange manually.'
+            ).format(**msg))
 
         except RPCException as e:
             self._send_msg(str(e))
diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py
index c8ac05d0d..ac8dc62c6 100644
--- a/tests/rpc/test_rpc_telegram.py
+++ b/tests/rpc/test_rpc_telegram.py
@@ -1200,8 +1200,8 @@ def test_telegram_delete_trade(mocker, update, default_conf, fee):
     context.args = [1]
     telegram._delete_trade(update=update, context=context)
     msg_mock.call_count == 1
-    assert "Delete Result" in msg_mock.call_args_list[0][0][0]
     assert "Deleted trade 1." in msg_mock.call_args_list[0][0][0]
+    assert "Please make sure to take care of this asset" in msg_mock.call_args_list[0][0][0]
 
 
 def test_help_handle(default_conf, update, mocker) -> None:

From 8ed3b81c618293106ad821585ad3fbe89d8685e5 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 4 Aug 2020 19:57:28 +0200
Subject: [PATCH 122/244] Implement /delete in rest client

---
 docs/rest-api.md          | 43 +++++++++++++++++++++------------------
 docs/telegram-usage.md    |  1 +
 freqtrade/rpc/telegram.py |  2 +-
 scripts/rest_client.py    | 12 +++++++++++
 4 files changed, 37 insertions(+), 21 deletions(-)

diff --git a/docs/rest-api.md b/docs/rest-api.md
index a8d902b53..2887a9ffc 100644
--- a/docs/rest-api.md
+++ b/docs/rest-api.md
@@ -106,26 +106,29 @@ python3 scripts/rest_client.py --config rest_config.json  [optional par
 
 ## Available commands
 
-|  Command | Default | Description |
-|----------|---------|-------------|
-| `start` | | Starts the trader
-| `stop` | | Stops the trader
-| `stopbuy` | | Stops the trader from opening new trades. Gracefully closes open trades according to their rules.
-| `reload_config` | | Reloads the configuration file
-| `show_config` | | Shows part of the current configuration with relevant settings to operation
-| `status` | | Lists all open trades
-| `count` | | Displays number of trades used and available
-| `profit` | | Display a summary of your profit/loss from close trades and some stats about your performance
-| `forcesell ` | | Instantly sells the given trade  (Ignoring `minimum_roi`).
-| `forcesell all` | | Instantly sells all open trades (Ignoring `minimum_roi`).
-| `forcebuy  [rate]` | | Instantly buys the given pair. Rate is optional. (`forcebuy_enable` must be set to True)
-| `performance` | | Show performance of each finished trade grouped by pair
-| `balance` | | Show account balance per currency
-| `daily ` | 7 | Shows profit or loss per day, over the last n days
-| `whitelist` | | Show the current whitelist
-| `blacklist [pair]` | | Show the current blacklist, or adds a pair to the blacklist.
-| `edge` | | Show validated pairs by Edge if it is enabled.
-| `version` | | Show version
+|  Command | Description |
+|----------|-------------|
+| `ping` | Simple command testing the API Readiness - requires no authentication.
+| `start` | Starts the trader
+| `stop` | Stops the trader
+| `stopbuy` | Stops the trader from opening new trades. Gracefully closes open trades according to their rules.
+| `reload_config` | Reloads the configuration file
+| `trades` | List last trades.
+| `delete_trade ` | Remove trade from the database. Tries to close open orders. Requires manual handling of this trade on the exchange.
+| `show_config` | Shows part of the current configuration with relevant settings to operation
+| `status` | Lists all open trades
+| `count` | Displays number of trades used and available
+| `profit` | Display a summary of your profit/loss from close trades and some stats about your performance
+| `forcesell ` | Instantly sells the given trade  (Ignoring `minimum_roi`).
+| `forcesell all` | Instantly sells all open trades (Ignoring `minimum_roi`).
+| `forcebuy  [rate]` | Instantly buys the given pair. Rate is optional. (`forcebuy_enable` must be set to True)
+| `performance` | Show performance of each finished trade grouped by pair
+| `balance` | Show account balance per currency
+| `daily ` | Shows profit or loss per day, over the last n days (n defaults to 7)
+| `whitelist` | Show the current whitelist
+| `blacklist [pair]` | Show the current blacklist, or adds a pair to the blacklist.
+| `edge` | Show validated pairs by Edge if it is enabled.
+| `version` | Show version
 
 Possible commands can be listed from the rest-client script using the `help` command.
 
diff --git a/docs/telegram-usage.md b/docs/telegram-usage.md
index 250293d25..b81ef012b 100644
--- a/docs/telegram-usage.md
+++ b/docs/telegram-usage.md
@@ -57,6 +57,7 @@ official commands. You can ask at any moment for help with `/help`.
 | `/status` | | Lists all open trades
 | `/status table` | | List all open trades in a table format. Pending buy orders are marked with an asterisk (*) Pending sell orders are marked with a double asterisk (**)
 | `/trades [limit]` | | List all recently closed trades in a table format.
+| `/delete ` | | Delete a specific trade from the Database. Tries to close open orders. Requires manual handling of this trade on the exchange.
 | `/count` | | Displays number of trades used and available
 | `/profit` | | Display a summary of your profit/loss from close trades and some stats about your performance
 | `/forcesell ` | | Instantly sells the given trade  (Ignoring `minimum_roi`).
diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py
index dde19fddb..f1d3cde21 100644
--- a/freqtrade/rpc/telegram.py
+++ b/freqtrade/rpc/telegram.py
@@ -548,7 +548,7 @@ class Telegram(RPC):
         try:
             msg = self._rpc_delete(trade_id)
             self._send_msg((
-                'Delete Result: `{result_msg}`'
+                '`{result_msg}`\n'
                 'Please make sure to take care of this asset on the exchange manually.'
             ).format(**msg))
 
diff --git a/scripts/rest_client.py b/scripts/rest_client.py
index 1f96bcb69..51ea596f6 100755
--- a/scripts/rest_client.py
+++ b/scripts/rest_client.py
@@ -62,6 +62,9 @@ class FtRestClient():
     def _get(self, apipath, params: dict = None):
         return self._call("GET", apipath, params=params)
 
+    def _delete(self, apipath, params: dict = None):
+        return self._call("DELETE", apipath, params=params)
+
     def _post(self, apipath, params: dict = None, data: dict = None):
         return self._call("POST", apipath, params=params, data=data)
 
@@ -164,6 +167,15 @@ class FtRestClient():
         """
         return self._get("trades", params={"limit": limit} if limit else 0)
 
+    def delete_trade(self, trade_id):
+        """Delete trade from the database.
+        Tries to close open orders. Requires manual handling of this asset on the exchange.
+
+        :param trade_id: Deletes the trade with this ID from the database.
+        :return: json object
+        """
+        return self._delete("trades/{}".format(trade_id))
+
     def whitelist(self):
         """Show the current whitelist.
 

From 5082acc33f1220f95490c56c4fa1d8571ae6faf4 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 6 Aug 2020 07:54:54 +0200
Subject: [PATCH 123/244] Fix typos in documentation

---
 docs/rest-api.md       | 2 +-
 docs/telegram-usage.md | 8 +++++---
 2 files changed, 6 insertions(+), 4 deletions(-)

diff --git a/docs/rest-api.md b/docs/rest-api.md
index 2887a9ffc..68754f79a 100644
--- a/docs/rest-api.md
+++ b/docs/rest-api.md
@@ -46,7 +46,7 @@ secrets.token_hex()
 
 ### Configuration with docker
 
-If you run your bot using docker, you'll need to have the bot listen to incomming connections. The security is then handled by docker.
+If you run your bot using docker, you'll need to have the bot listen to incoming connections. The security is then handled by docker.
 
 ``` json
     "api_server": {
diff --git a/docs/telegram-usage.md b/docs/telegram-usage.md
index b81ef012b..b050a7a60 100644
--- a/docs/telegram-usage.md
+++ b/docs/telegram-usage.md
@@ -9,7 +9,7 @@ Telegram user id.
 
 Start a chat with the [Telegram BotFather](https://telegram.me/BotFather)
 
-Send the message `/newbot`. 
+Send the message `/newbot`.
 
 *BotFather response:*
 
@@ -115,6 +115,7 @@ For each open trade, the bot will send you the following message.
 ### /status table
 
 Return the status of all open trades in a table format.
+
 ```
    ID  Pair      Since    Profit
 ----  --------  -------  --------
@@ -125,6 +126,7 @@ Return the status of all open trades in a table format.
 ### /count
 
 Return the number of trades used and available.
+
 ```
 current    max
 ---------  -----
@@ -210,7 +212,7 @@ Shows the current whitelist
 
 Shows the current blacklist.
 If Pair is set, then this pair will be added to the pairlist.
-Also supports multiple pairs, seperated by a space.
+Also supports multiple pairs, separated by a space.
 Use `/reload_config` to reset the blacklist.
 
 > Using blacklist `StaticPairList` with 2 pairs  
@@ -218,7 +220,7 @@ Use `/reload_config` to reset the blacklist.
 
 ### /edge
 
-Shows pairs validated by Edge along with their corresponding winrate, expectancy and stoploss values.
+Shows pairs validated by Edge along with their corresponding win-rate, expectancy and stoploss values.
 
 > **Edge only validated following pairs:**
 ```

From 8b6d10daf1cf3b384eb4732597e5835b97ced143 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 6 Aug 2020 08:50:41 +0200
Subject: [PATCH 124/244] Move DefaultHyperopt to test folder (aligned to
 strategy)

---
 .../optimize => tests/optimize/hyperopts}/default_hyperopt.py     | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename {freqtrade/optimize => tests/optimize/hyperopts}/default_hyperopt.py (100%)

diff --git a/freqtrade/optimize/default_hyperopt.py b/tests/optimize/hyperopts/default_hyperopt.py
similarity index 100%
rename from freqtrade/optimize/default_hyperopt.py
rename to tests/optimize/hyperopts/default_hyperopt.py

From 081625c5dcf14206683daa7c73f9a1848a157d9a Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 6 Aug 2020 08:51:01 +0200
Subject: [PATCH 125/244] Have hyperopt tests use new hyperopt location

---
 tests/optimize/test_hyperopt.py | 235 ++++++++++++++------------------
 1 file changed, 106 insertions(+), 129 deletions(-)

diff --git a/tests/optimize/test_hyperopt.py b/tests/optimize/test_hyperopt.py
index 564725709..2f9f9bc56 100644
--- a/tests/optimize/test_hyperopt.py
+++ b/tests/optimize/test_hyperopt.py
@@ -3,6 +3,7 @@ import locale
 import logging
 from datetime import datetime
 from pathlib import Path
+from copy import deepcopy
 from typing import Dict, List
 from unittest.mock import MagicMock, PropertyMock
 
@@ -16,7 +17,6 @@ from freqtrade.commands.optimize_commands import (setup_optimize_configuration,
                                                   start_hyperopt)
 from freqtrade.data.history import load_data
 from freqtrade.exceptions import DependencyException, OperationalException
-from freqtrade.optimize.default_hyperopt import DefaultHyperOpt
 from freqtrade.optimize.default_hyperopt_loss import DefaultHyperOptLoss
 from freqtrade.optimize.hyperopt import Hyperopt
 from freqtrade.resolvers.hyperopt_resolver import (HyperOptLossResolver,
@@ -26,15 +26,28 @@ from freqtrade.strategy.interface import SellType
 from tests.conftest import (get_args, log_has, log_has_re, patch_exchange,
                             patched_configuration_load_config_file)
 
+from .hyperopts.default_hyperopt import DefaultHyperOpt
+
 
 @pytest.fixture(scope='function')
-def hyperopt(default_conf, mocker):
-    default_conf.update({
-        'spaces': ['default'],
-        'hyperopt': 'DefaultHyperOpt',
-    })
+def hyperopt_conf(default_conf):
+    hyperconf = deepcopy(default_conf)
+    hyperconf.update({
+                         'hyperopt': 'DefaultHyperOpt',
+                         'hyperopt_path': str(Path(__file__).parent / 'hyperopts'),
+                         'epochs': 1,
+                         'timerange': None,
+                         'spaces': ['default'],
+                         'hyperopt_jobs': 1,
+                         })
+    return hyperconf
+
+
+@pytest.fixture(scope='function')
+def hyperopt(hyperopt_conf, mocker):
+
     patch_exchange(mocker)
-    return Hyperopt(default_conf)
+    return Hyperopt(hyperopt_conf)
 
 
 @pytest.fixture(scope='function')
@@ -160,7 +173,7 @@ def test_setup_hyperopt_configuration_with_arguments(mocker, default_conf, caplo
     assert log_has('Parameter --print-all detected ...', caplog)
 
 
-def test_setup_hyperopt_configuration_unlimited_stake_amount(mocker, default_conf, caplog) -> None:
+def test_setup_hyperopt_configuration_unlimited_stake_amount(mocker, default_conf) -> None:
     default_conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
 
     patched_configuration_load_config_file(mocker, default_conf)
@@ -201,7 +214,7 @@ def test_hyperoptresolver(mocker, default_conf, caplog) -> None:
     assert hasattr(x, "timeframe")
 
 
-def test_hyperoptresolver_wrongname(mocker, default_conf, caplog) -> None:
+def test_hyperoptresolver_wrongname(default_conf) -> None:
     default_conf.update({'hyperopt': "NonExistingHyperoptClass"})
 
     with pytest.raises(OperationalException, match=r'Impossible to load Hyperopt.*'):
@@ -216,7 +229,7 @@ def test_hyperoptresolver_noname(default_conf):
         HyperOptResolver.load_hyperopt(default_conf)
 
 
-def test_hyperoptlossresolver(mocker, default_conf, caplog) -> None:
+def test_hyperoptlossresolver(mocker, default_conf) -> None:
 
     hl = DefaultHyperOptLoss
     mocker.patch(
@@ -227,14 +240,14 @@ def test_hyperoptlossresolver(mocker, default_conf, caplog) -> None:
     assert hasattr(x, "hyperopt_loss_function")
 
 
-def test_hyperoptlossresolver_wrongname(mocker, default_conf, caplog) -> None:
+def test_hyperoptlossresolver_wrongname(default_conf) -> None:
     default_conf.update({'hyperopt_loss': "NonExistingLossClass"})
 
     with pytest.raises(OperationalException, match=r'Impossible to load HyperoptLoss.*'):
         HyperOptLossResolver.load_hyperoptloss(default_conf)
 
 
-def test_start_not_installed(mocker, default_conf, caplog, import_fails) -> None:
+def test_start_not_installed(mocker, default_conf) -> None:
     start_mock = MagicMock()
     patched_configuration_load_config_file(mocker, default_conf)
 
@@ -253,9 +266,9 @@ def test_start_not_installed(mocker, default_conf, caplog, import_fails) -> None
         start_hyperopt(pargs)
 
 
-def test_start(mocker, default_conf, caplog) -> None:
+def test_start(mocker, hyperopt_conf, caplog) -> None:
     start_mock = MagicMock()
-    patched_configuration_load_config_file(mocker, default_conf)
+    patched_configuration_load_config_file(mocker, hyperopt_conf)
     mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
     patch_exchange(mocker)
 
@@ -272,8 +285,8 @@ def test_start(mocker, default_conf, caplog) -> None:
     assert start_mock.call_count == 1
 
 
-def test_start_no_data(mocker, default_conf, caplog) -> None:
-    patched_configuration_load_config_file(mocker, default_conf)
+def test_start_no_data(mocker, hyperopt_conf) -> None:
+    patched_configuration_load_config_file(mocker, hyperopt_conf)
     mocker.patch('freqtrade.data.history.load_pair_history', MagicMock(return_value=pd.DataFrame))
     mocker.patch(
         'freqtrade.optimize.hyperopt.get_timerange',
@@ -293,9 +306,9 @@ def test_start_no_data(mocker, default_conf, caplog) -> None:
         start_hyperopt(pargs)
 
 
-def test_start_filelock(mocker, default_conf, caplog) -> None:
-    start_mock = MagicMock(side_effect=Timeout(Hyperopt.get_lock_filename(default_conf)))
-    patched_configuration_load_config_file(mocker, default_conf)
+def test_start_filelock(mocker, hyperopt_conf, caplog) -> None:
+    start_mock = MagicMock(side_effect=Timeout(Hyperopt.get_lock_filename(hyperopt_conf)))
+    patched_configuration_load_config_file(mocker, hyperopt_conf)
     mocker.patch('freqtrade.optimize.hyperopt.Hyperopt.start', start_mock)
     patch_exchange(mocker)
 
@@ -519,7 +532,7 @@ def test_roi_table_generation(hyperopt) -> None:
     assert hyperopt.custom_hyperopt.generate_roi_table(params) == {0: 6, 15: 3, 25: 1, 30: 0}
 
 
-def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
+def test_start_calls_optimizer(mocker, hyperopt_conf, capsys) -> None:
     dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
                  MagicMock(return_value=(MagicMock(), None)))
@@ -545,15 +558,9 @@ def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
     )
     patch_exchange(mocker)
     # Co-test loading timeframe from strategy
-    del default_conf['timeframe']
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'default',
-                         'hyperopt_jobs': 1, })
+    del hyperopt_conf['timeframe']
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
     hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
 
@@ -569,7 +576,7 @@ def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
     assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
     assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
     assert hasattr(hyperopt, "max_open_trades")
-    assert hyperopt.max_open_trades == default_conf['max_open_trades']
+    assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
     assert hasattr(hyperopt, "position_stacking")
 
 
@@ -686,13 +693,36 @@ def test_buy_strategy_generator(hyperopt, testdatadir) -> None:
     assert 1 in result['buy']
 
 
-def test_generate_optimizer(mocker, default_conf) -> None:
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'timerange': None,
-                         'spaces': 'all',
-                         'hyperopt_min_trades': 1,
-                         })
+def test_sell_strategy_generator(hyperopt, testdatadir) -> None:
+    data = load_data(testdatadir, '1m', ['UNITTEST/BTC'], fill_up_missing=True)
+    dataframes = hyperopt.backtesting.strategy.ohlcvdata_to_dataframe(data)
+    dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
+                                                             {'pair': 'UNITTEST/BTC'})
+
+    populate_sell_trend = hyperopt.custom_hyperopt.sell_strategy_generator(
+        {
+            'sell-adx-value': 20,
+            'sell-fastd-value': 75,
+            'sell-mfi-value': 80,
+            'sell-rsi-value': 20,
+            'sell-adx-enabled': True,
+            'sell-fastd-enabled': True,
+            'sell-mfi-enabled': True,
+            'sell-rsi-enabled': True,
+            'sell-trigger': 'sell-bb_upper'
+        }
+    )
+    result = populate_sell_trend(dataframe, {'pair': 'UNITTEST/BTC'})
+    # Check if some indicators are generated. We will not test all of them
+    print(result)
+    assert 'sell' in result
+    assert 1 in result['sell']
+
+
+def test_generate_optimizer(mocker, hyperopt_conf) -> None:
+    hyperopt_conf.update({'spaces': 'all',
+                          'hyperopt_min_trades': 1,
+                          })
 
     trades = [
         ('TRX/BTC', 0.023117, 0.000233, 100)
@@ -783,48 +813,35 @@ def test_generate_optimizer(mocker, default_conf) -> None:
         'total_profit': 0.00023300
     }
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.dimensions = hyperopt.hyperopt_space()
     generate_optimizer_value = hyperopt.generate_optimizer(list(optimizer_param.values()))
     assert generate_optimizer_value == response_expected
 
 
-def test_clean_hyperopt(mocker, default_conf, caplog):
+def test_clean_hyperopt(mocker, hyperopt_conf, caplog):
     patch_exchange(mocker)
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'default',
-                         'hyperopt_jobs': 1,
-                         })
+
     mocker.patch("freqtrade.optimize.hyperopt.Path.is_file", MagicMock(return_value=True))
     unlinkmock = mocker.patch("freqtrade.optimize.hyperopt.Path.unlink", MagicMock())
-    h = Hyperopt(default_conf)
+    h = Hyperopt(hyperopt_conf)
 
     assert unlinkmock.call_count == 2
     assert log_has(f"Removing `{h.data_pickle_file}`.", caplog)
 
 
-def test_continue_hyperopt(mocker, default_conf, caplog):
+def test_continue_hyperopt(mocker, hyperopt_conf, caplog):
     patch_exchange(mocker)
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'default',
-                         'hyperopt_jobs': 1,
-                         'hyperopt_continue': True
-                         })
+    hyperopt_conf.update({'hyperopt_continue': True})
     mocker.patch("freqtrade.optimize.hyperopt.Path.is_file", MagicMock(return_value=True))
     unlinkmock = mocker.patch("freqtrade.optimize.hyperopt.Path.unlink", MagicMock())
-    Hyperopt(default_conf)
+    Hyperopt(hyperopt_conf)
 
     assert unlinkmock.call_count == 0
     assert log_has("Continuing on previous hyperopt results.", caplog)
 
 
-def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
+def test_print_json_spaces_all(mocker, hyperopt_conf, capsys) -> None:
     dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
                  MagicMock(return_value=(MagicMock(), None)))
@@ -855,16 +872,12 @@ def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
     )
     patch_exchange(mocker)
 
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'all',
-                         'hyperopt_jobs': 1,
-                         'print_json': True,
-                         })
+    hyperopt_conf.update({'spaces': 'all',
+                          'hyperopt_jobs': 1,
+                          'print_json': True,
+                          })
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
     hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
 
@@ -883,7 +896,7 @@ def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
     assert dumper.call_count == 2
 
 
-def test_print_json_spaces_default(mocker, default_conf, caplog, capsys) -> None:
+def test_print_json_spaces_default(mocker, hyperopt_conf, capsys) -> None:
     dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
                  MagicMock(return_value=(MagicMock(), None)))
@@ -913,16 +926,9 @@ def test_print_json_spaces_default(mocker, default_conf, caplog, capsys) -> None
     )
     patch_exchange(mocker)
 
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'default',
-                         'hyperopt_jobs': 1,
-                         'print_json': True,
-                         })
+    hyperopt_conf.update({'print_json': True})
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
     hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
 
@@ -937,7 +943,7 @@ def test_print_json_spaces_default(mocker, default_conf, caplog, capsys) -> None
     assert dumper.call_count == 2
 
 
-def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) -> None:
+def test_print_json_spaces_roi_stoploss(mocker, hyperopt_conf, capsys) -> None:
     dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
                  MagicMock(return_value=(MagicMock(), None)))
@@ -963,16 +969,12 @@ def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) ->
     )
     patch_exchange(mocker)
 
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'roi stoploss',
-                         'hyperopt_jobs': 1,
-                         'print_json': True,
-                         })
+    hyperopt_conf.update({'spaces': 'roi stoploss',
+                          'hyperopt_jobs': 1,
+                          'print_json': True,
+                          })
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
     hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
 
@@ -987,7 +989,7 @@ def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) ->
     assert dumper.call_count == 2
 
 
-def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys) -> None:
+def test_simplified_interface_roi_stoploss(mocker, hyperopt_conf, capsys) -> None:
     dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
                  MagicMock(return_value=(MagicMock(), None)))
@@ -1012,14 +1014,9 @@ def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys)
     )
     patch_exchange(mocker)
 
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'roi stoploss',
-                         'hyperopt_jobs': 1, })
+    hyperopt_conf.update({'spaces': 'roi stoploss'})
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
     hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
 
@@ -1040,11 +1037,11 @@ def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys)
     assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
     assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
     assert hasattr(hyperopt, "max_open_trades")
-    assert hyperopt.max_open_trades == default_conf['max_open_trades']
+    assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
     assert hasattr(hyperopt, "position_stacking")
 
 
-def test_simplified_interface_all_failed(mocker, default_conf, caplog, capsys) -> None:
+def test_simplified_interface_all_failed(mocker, hyperopt_conf) -> None:
     mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
                  MagicMock(return_value=(MagicMock(), None)))
@@ -1055,14 +1052,9 @@ def test_simplified_interface_all_failed(mocker, default_conf, caplog, capsys) -
 
     patch_exchange(mocker)
 
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'all',
-                         'hyperopt_jobs': 1, })
+    hyperopt_conf.update({'spaces': 'all', })
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
     hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
 
@@ -1075,7 +1067,7 @@ def test_simplified_interface_all_failed(mocker, default_conf, caplog, capsys) -
         hyperopt.start()
 
 
-def test_simplified_interface_buy(mocker, default_conf, caplog, capsys) -> None:
+def test_simplified_interface_buy(mocker, hyperopt_conf, capsys) -> None:
     dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
                  MagicMock(return_value=(MagicMock(), None)))
@@ -1100,14 +1092,9 @@ def test_simplified_interface_buy(mocker, default_conf, caplog, capsys) -> None:
     )
     patch_exchange(mocker)
 
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'buy',
-                         'hyperopt_jobs': 1, })
+    hyperopt_conf.update({'spaces': 'buy'})
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
     hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
 
@@ -1128,11 +1115,11 @@ def test_simplified_interface_buy(mocker, default_conf, caplog, capsys) -> None:
     assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
     assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
     assert hasattr(hyperopt, "max_open_trades")
-    assert hyperopt.max_open_trades == default_conf['max_open_trades']
+    assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
     assert hasattr(hyperopt, "position_stacking")
 
 
-def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None:
+def test_simplified_interface_sell(mocker, hyperopt_conf, capsys) -> None:
     dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
                  MagicMock(return_value=(MagicMock(), None)))
@@ -1157,14 +1144,9 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None
     )
     patch_exchange(mocker)
 
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': 'sell',
-                         'hyperopt_jobs': 1, })
+    hyperopt_conf.update({'spaces': 'sell', })
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
     hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
 
@@ -1185,7 +1167,7 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None
     assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
     assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
     assert hasattr(hyperopt, "max_open_trades")
-    assert hyperopt.max_open_trades == default_conf['max_open_trades']
+    assert hyperopt.max_open_trades == hyperopt_conf['max_open_trades']
     assert hasattr(hyperopt, "position_stacking")
 
 
@@ -1195,7 +1177,7 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None
     ('sell_strategy_generator', 'sell'),
     ('sell_indicator_space', 'sell'),
 ])
-def test_simplified_interface_failed(mocker, default_conf, caplog, capsys, method, space) -> None:
+def test_simplified_interface_failed(mocker, hyperopt_conf, method, space) -> None:
     mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
     mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
                  MagicMock(return_value=(MagicMock(), None)))
@@ -1206,14 +1188,9 @@ def test_simplified_interface_failed(mocker, default_conf, caplog, capsys, metho
 
     patch_exchange(mocker)
 
-    default_conf.update({'config': 'config.json.example',
-                         'hyperopt': 'DefaultHyperOpt',
-                         'epochs': 1,
-                         'timerange': None,
-                         'spaces': space,
-                         'hyperopt_jobs': 1, })
+    hyperopt_conf.update({'spaces': space})
 
-    hyperopt = Hyperopt(default_conf)
+    hyperopt = Hyperopt(hyperopt_conf)
     hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
     hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
 

From 59370672b811aba5bcee1f3597f59375c5df2994 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 6 Aug 2020 09:00:28 +0200
Subject: [PATCH 126/244] Fix more tests

---
 tests/commands/test_commands.py | 5 ++---
 tests/optimize/test_hyperopt.py | 4 +++-
 2 files changed, 5 insertions(+), 4 deletions(-)

diff --git a/tests/commands/test_commands.py b/tests/commands/test_commands.py
index 3ec7e4798..6837ebe98 100644
--- a/tests/commands/test_commands.py
+++ b/tests/commands/test_commands.py
@@ -667,7 +667,7 @@ def test_start_list_hyperopts(mocker, caplog, capsys):
     args = [
         "list-hyperopts",
         "--hyperopt-path",
-        str(Path(__file__).parent.parent / "optimize"),
+        str(Path(__file__).parent.parent / "optimize" / "hyperopts"),
         "-1"
     ]
     pargs = get_args(args)
@@ -683,7 +683,7 @@ def test_start_list_hyperopts(mocker, caplog, capsys):
     args = [
         "list-hyperopts",
         "--hyperopt-path",
-        str(Path(__file__).parent.parent / "optimize"),
+        str(Path(__file__).parent.parent / "optimize" / "hyperopts"),
     ]
     pargs = get_args(args)
     # pargs['config'] = None
@@ -692,7 +692,6 @@ def test_start_list_hyperopts(mocker, caplog, capsys):
     assert "TestHyperoptLegacy" not in captured.out
     assert "legacy_hyperopt.py" not in captured.out
     assert "DefaultHyperOpt" in captured.out
-    assert "test_hyperopt.py" in captured.out
 
 
 def test_start_test_pairlist(mocker, caplog, tickers, default_conf, capsys):
diff --git a/tests/optimize/test_hyperopt.py b/tests/optimize/test_hyperopt.py
index 2f9f9bc56..0d2ebf213 100644
--- a/tests/optimize/test_hyperopt.py
+++ b/tests/optimize/test_hyperopt.py
@@ -247,7 +247,7 @@ def test_hyperoptlossresolver_wrongname(default_conf) -> None:
         HyperOptLossResolver.load_hyperoptloss(default_conf)
 
 
-def test_start_not_installed(mocker, default_conf) -> None:
+def test_start_not_installed(mocker, default_conf, import_fails) -> None:
     start_mock = MagicMock()
     patched_configuration_load_config_file(mocker, default_conf)
 
@@ -258,6 +258,8 @@ def test_start_not_installed(mocker, default_conf) -> None:
         'hyperopt',
         '--config', 'config.json',
         '--hyperopt', 'DefaultHyperOpt',
+        '--hyperopt-path',
+        str(Path(__file__).parent / "hyperopts"),
         '--epochs', '5'
     ]
     pargs = get_args(args)

From 995d3e1ed5ee8548e55e5f5075b4533b6ff5d907 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 6 Aug 2020 09:07:48 +0200
Subject: [PATCH 127/244] Don't search internal path for Hyperopt files

---
 freqtrade/resolvers/hyperopt_resolver.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/freqtrade/resolvers/hyperopt_resolver.py b/freqtrade/resolvers/hyperopt_resolver.py
index abbfee6ed..5dcf73d67 100644
--- a/freqtrade/resolvers/hyperopt_resolver.py
+++ b/freqtrade/resolvers/hyperopt_resolver.py
@@ -23,7 +23,7 @@ class HyperOptResolver(IResolver):
     object_type = IHyperOpt
     object_type_str = "Hyperopt"
     user_subdir = USERPATH_HYPEROPTS
-    initial_search_path = Path(__file__).parent.parent.joinpath('optimize').resolve()
+    initial_search_path = None
 
     @staticmethod
     def load_hyperopt(config: Dict) -> IHyperOpt:

From d01070dba81b19e3e3f9fc715e4d22022259e4b4 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 6 Aug 2020 09:22:41 +0200
Subject: [PATCH 128/244] Increase coverage of edge_cli

---
 tests/optimize/test_edge_cli.py | 14 ++++++++++++++
 1 file changed, 14 insertions(+)

diff --git a/tests/optimize/test_edge_cli.py b/tests/optimize/test_edge_cli.py
index acec51f66..188b4aa5f 100644
--- a/tests/optimize/test_edge_cli.py
+++ b/tests/optimize/test_edge_cli.py
@@ -105,3 +105,17 @@ def test_edge_init_fee(mocker, edge_conf) -> None:
     edge_cli = EdgeCli(edge_conf)
     assert edge_cli.edge.fee == 0.1234
     assert fee_mock.call_count == 0
+
+
+def test_edge_start(mocker, edge_conf) -> None:
+    mock_calculate = mocker.patch('freqtrade.edge.edge_positioning.Edge.calculate',
+                                  return_value=True)
+    table_mock = mocker.patch('freqtrade.optimize.edge_cli.generate_edge_table')
+
+    patch_exchange(mocker)
+    edge_conf['stake_amount'] = 20
+
+    edge_cli = EdgeCli(edge_conf)
+    edge_cli.start()
+    assert mock_calculate.call_count == 1
+    assert table_mock.call_count == 1

From eba73307e42ce6b94d5bed393c40c0bfbbafd05c Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Fri, 7 Aug 2020 01:13:36 +0200
Subject: [PATCH 129/244] Update strategy_methods_advanced.j2

Fix def confirm_trade_exit arguments
---
 freqtrade/templates/subtemplates/strategy_methods_advanced.j2 | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/freqtrade/templates/subtemplates/strategy_methods_advanced.j2 b/freqtrade/templates/subtemplates/strategy_methods_advanced.j2
index c7ce41bb7..5ca6e6971 100644
--- a/freqtrade/templates/subtemplates/strategy_methods_advanced.j2
+++ b/freqtrade/templates/subtemplates/strategy_methods_advanced.j2
@@ -34,7 +34,7 @@ def confirm_trade_entry(self, pair: str, order_type: str, amount: float, rate: f
     """
     return True
 
-def confirm_trade_exit(self, pair: str, trade: Trade, order_type: str, amount: float,
+def confirm_trade_exit(self, pair: str, trade: 'Trade', order_type: str, amount: float,
                        rate: float, time_in_force: str, sell_reason: str, **kwargs) -> bool:
     """
     Called right before placing a regular sell order.

From f3ce54150e92f66c70b82f91276f10fab7e801a4 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 8 Aug 2020 15:06:13 +0200
Subject: [PATCH 130/244] Simplify Telegram table

---
 docs/telegram-usage.md | 48 +++++++++++++++++++++---------------------
 1 file changed, 24 insertions(+), 24 deletions(-)

diff --git a/docs/telegram-usage.md b/docs/telegram-usage.md
index b050a7a60..9776b26ba 100644
--- a/docs/telegram-usage.md
+++ b/docs/telegram-usage.md
@@ -47,30 +47,30 @@ Per default, the Telegram bot shows predefined commands. Some commands
 are only available by sending them to the bot. The table below list the
 official commands. You can ask at any moment for help with `/help`.
 
-|  Command | Default | Description |
-|----------|---------|-------------|
-| `/start` | | Starts the trader
-| `/stop` | | Stops the trader
-| `/stopbuy` | | Stops the trader from opening new trades. Gracefully closes open trades according to their rules.
-| `/reload_config` | | Reloads the configuration file
-| `/show_config` | | Shows part of the current configuration with relevant settings to operation
-| `/status` | | Lists all open trades
-| `/status table` | | List all open trades in a table format. Pending buy orders are marked with an asterisk (*) Pending sell orders are marked with a double asterisk (**)
-| `/trades [limit]` | | List all recently closed trades in a table format.
-| `/delete ` | | Delete a specific trade from the Database. Tries to close open orders. Requires manual handling of this trade on the exchange.
-| `/count` | | Displays number of trades used and available
-| `/profit` | | Display a summary of your profit/loss from close trades and some stats about your performance
-| `/forcesell ` | | Instantly sells the given trade  (Ignoring `minimum_roi`).
-| `/forcesell all` | | Instantly sells all open trades (Ignoring `minimum_roi`).
-| `/forcebuy  [rate]` | | Instantly buys the given pair. Rate is optional. (`forcebuy_enable` must be set to True)
-| `/performance` | | Show performance of each finished trade grouped by pair
-| `/balance` | | Show account balance per currency
-| `/daily ` | 7 | Shows profit or loss per day, over the last n days
-| `/whitelist` | | Show the current whitelist
-| `/blacklist [pair]` | | Show the current blacklist, or adds a pair to the blacklist.
-| `/edge` | | Show validated pairs by Edge if it is enabled.
-| `/help` | | Show help message
-| `/version` | | Show version
+|  Command | Description |
+|----------|-------------|
+| `/start` | Starts the trader
+| `/stop` | Stops the trader
+| `/stopbuy` | Stops the trader from opening new trades. Gracefully closes open trades according to their rules.
+| `/reload_config` | Reloads the configuration file
+| `/show_config` | Shows part of the current configuration with relevant settings to operation
+| `/status` | Lists all open trades
+| `/status table` | List all open trades in a table format. Pending buy orders are marked with an asterisk (*) Pending sell orders are marked with a double asterisk (**)
+| `/trades [limit]` | List all recently closed trades in a table format.
+| `/delete ` | Delete a specific trade from the Database. Tries to close open orders. Requires manual handling of this trade on the exchange.
+| `/count` | Displays number of trades used and available
+| `/profit` | Display a summary of your profit/loss from close trades and some stats about your performance
+| `/forcesell ` | Instantly sells the given trade  (Ignoring `minimum_roi`).
+| `/forcesell all` | Instantly sells all open trades (Ignoring `minimum_roi`).
+| `/forcebuy  [rate]` | Instantly buys the given pair. Rate is optional. (`forcebuy_enable` must be set to True)
+| `/performance` | Show performance of each finished trade grouped by pair
+| `/balance` | Show account balance per currency
+| `/daily ` | Shows profit or loss per day, over the last n days (n defaults to 7)
+| `/whitelist` | Show the current whitelist
+| `/blacklist [pair]` | Show the current blacklist, or adds a pair to the blacklist.
+| `/edge` | Show validated pairs by Edge if it is enabled.
+| `/help` | Show help message
+| `/version` | Show version
 
 ## Telegram commands in action
 

From dd430455e411bdfae6bef3162d03e3c893b2e883 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 8 Aug 2020 17:04:32 +0200
Subject: [PATCH 131/244] Enable dataprovier for hyperopt

---
 freqtrade/optimize/backtesting.py |  5 ++---
 freqtrade/optimize/hyperopt.py    | 15 +++++++++------
 2 files changed, 11 insertions(+), 9 deletions(-)

diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index 214c92e0e..d058493cf 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -65,9 +65,8 @@ class Backtesting:
         self.strategylist: List[IStrategy] = []
         self.exchange = ExchangeResolver.load_exchange(self.config['exchange']['name'], self.config)
 
-        if self.config.get('runmode') != RunMode.HYPEROPT:
-            self.dataprovider = DataProvider(self.config, self.exchange)
-            IStrategy.dp = self.dataprovider
+        dataprovider = DataProvider(self.config, self.exchange)
+        IStrategy.dp = dataprovider
 
         if self.config.get('strategy_list', None):
             for strat in list(self.config['strategy_list']):
diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index 153ae3861..9bc0dadc0 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -4,26 +4,26 @@
 This module contains the hyperopt logic
 """
 
+import io
 import locale
 import logging
 import random
 import warnings
-from math import ceil
 from collections import OrderedDict
+from math import ceil
 from operator import itemgetter
+from os import path
 from pathlib import Path
 from pprint import pformat
 from typing import Any, Dict, List, Optional
 
+import progressbar
 import rapidjson
+import tabulate
 from colorama import Fore, Style
 from joblib import (Parallel, cpu_count, delayed, dump, load,
                     wrap_non_picklable_objects)
-from pandas import DataFrame, json_normalize, isna
-import progressbar
-import tabulate
-from os import path
-import io
+from pandas import DataFrame, isna, json_normalize
 
 from freqtrade.data.converter import trim_dataframe
 from freqtrade.data.history import get_timerange
@@ -35,6 +35,7 @@ from freqtrade.optimize.hyperopt_interface import IHyperOpt  # noqa: F401
 from freqtrade.optimize.hyperopt_loss_interface import IHyperOptLoss  # noqa: F401
 from freqtrade.resolvers.hyperopt_resolver import (HyperOptLossResolver,
                                                    HyperOptResolver)
+from freqtrade.strategy import IStrategy
 
 # Suppress scikit-learn FutureWarnings from skopt
 with warnings.catch_warnings():
@@ -634,6 +635,8 @@ class Hyperopt:
         # We don't need exchange instance anymore while running hyperopt
         self.backtesting.exchange = None  # type: ignore
         self.backtesting.pairlists = None  # type: ignore
+        self.backtesting.strategy.dp = None  # type: ignore
+        IStrategy.dp = None  # type: ignore
 
         self.epochs = self.load_previous_results(self.results_file)
 

From 5e1032c4af168aa744dccc626a17ee339219450f Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 8 Aug 2020 17:08:38 +0200
Subject: [PATCH 132/244] Simplify strategy documentation, move "substrategies"
 to advanced page

---
 docs/strategy-advanced.md      | 21 +++++++++
 docs/strategy-customization.md | 78 +++++++++-------------------------
 2 files changed, 42 insertions(+), 57 deletions(-)

diff --git a/docs/strategy-advanced.md b/docs/strategy-advanced.md
index e4bab303e..359280694 100644
--- a/docs/strategy-advanced.md
+++ b/docs/strategy-advanced.md
@@ -199,3 +199,24 @@ class Awesomestrategy(IStrategy):
         return True
 
 ```
+
+## Derived strategies
+
+The strategies can be derived from other strategies. This avoids duplication of your custom strategy code. You can use this technique to override small parts of your main strategy, leaving the rest untouched:
+
+``` python
+class MyAwesomeStrategy(IStrategy):
+    ...
+    stoploss = 0.13
+    trailing_stop = False
+    # All other attributes and methods are here as they
+    # should be in any custom strategy...
+    ...
+
+class MyAwesomeStrategy2(MyAwesomeStrategy):
+    # Override something
+    stoploss = 0.08
+    trailing_stop = True
+```
+
+Both attributes and methods may be overriden, altering behavior of the original strategy in a way you need.
diff --git a/docs/strategy-customization.md b/docs/strategy-customization.md
index 98c71b4b2..ec521470a 100644
--- a/docs/strategy-customization.md
+++ b/docs/strategy-customization.md
@@ -355,7 +355,7 @@ def informative_pairs(self):
 
 ***
 
-### Additional data (DataProvider)
+## Additional data (DataProvider)
 
 The strategy provides access to the `DataProvider`. This allows you to get additional data to use in your strategy.
 
@@ -363,7 +363,7 @@ All methods return `None` in case of failure (do not raise an exception).
 
 Please always check the mode of operation to select the correct method to get data (samples see below).
 
-#### Possible options for DataProvider
+### Possible options for DataProvider
 
 - [`available_pairs`](#available_pairs) - Property with tuples listing cached pairs with their intervals (pair, interval).
 - [`current_whitelist()`](#current_whitelist) - Returns a current list of whitelisted pairs. Useful for accessing dynamic whitelists (ie. VolumePairlist)
@@ -376,9 +376,9 @@ Please always check the mode of operation to select the correct method to get da
 - [`ticker(pair)`](#tickerpair) - Returns current ticker data for the pair. See [ccxt documentation](https://github.com/ccxt/ccxt/wiki/Manual#price-tickers) for more details on the Ticker data structure.
 - `runmode` - Property containing the current runmode.
 
-#### Example Usages:
+### Example Usages
 
-#### *available_pairs*
+### *available_pairs*
 
 ``` python
 if self.dp:
@@ -386,7 +386,7 @@ if self.dp:
         print(f"available {pair}, {timeframe}")
 ```
 
-#### *current_whitelist()*
+### *current_whitelist()*
 
 Imagine you've developed a strategy that trades the `5m` timeframe using signals generated from a `1d` timeframe on the top 10 volume pairs by volume. 
 
@@ -420,7 +420,7 @@ class SampleStrategy(IStrategy):
 
         inf_tf = '1d'
         # Get the informative pair
-        informative = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe='1d')
+        informative = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=inf_tf)
         # Get the 14 day rsi
         informative['rsi'] = ta.RSI(informative, timeperiod=14)
 
@@ -455,7 +455,7 @@ class SampleStrategy(IStrategy):
 
 ```
 
-#### *get_pair_dataframe(pair, timeframe)*
+### *get_pair_dataframe(pair, timeframe)*
 
 ``` python
 # fetch live / historical candle (OHLCV) data for the first informative pair
@@ -468,12 +468,9 @@ if self.dp:
 !!! Warning "Warning about backtesting"
     Be careful when using dataprovider in backtesting. `historic_ohlcv()` (and `get_pair_dataframe()`
     for the backtesting runmode) provides the full time-range in one go,
-    so please be aware of it and make sure to not "look into the future" to avoid surprises when running in dry/live mode).
+    so please be aware of it and make sure to not "look into the future" to avoid surprises when running in dry/live mode.
 
-!!! Warning "Warning in hyperopt"
-    This option cannot currently be used during hyperopt.
-
-#### *get_analyzed_dataframe(pair, timeframe)*
+### *get_analyzed_dataframe(pair, timeframe)*
 
 This method is used by freqtrade internally to determine the last signal.
 It can also be used in specific callbacks to get the signal that caused the action (see [Advanced Strategy Documentation](strategy-advanced.md) for more details on available callbacks).
@@ -489,10 +486,7 @@ if self.dp:
     Returns an empty dataframe if the requested pair was not cached.
     This should not happen when using whitelisted pairs.
 
-!!! Warning "Warning in hyperopt"
-    This option cannot currently be used during hyperopt.
-
-#### *orderbook(pair, maximum)*
+### *orderbook(pair, maximum)*
 
 ``` python
 if self.dp:
@@ -503,10 +497,9 @@ if self.dp:
 ```
 
 !!! Warning
-    The order book is not part of the historic data which means backtesting and hyperopt will not work if this
-    method is used.
+    The order book is not part of the historic data which means backtesting and hyperopt will not work correctly if this method is used.
 
-#### *ticker(pair)*
+### *ticker(pair)*
 
 ``` python
 if self.dp:
@@ -525,7 +518,7 @@ if self.dp:
 
 ***
 
-### Additional data (Wallets)
+## Additional data (Wallets)
 
 The strategy provides access to the `Wallets` object. This contains the current balances on the exchange.
 
@@ -541,7 +534,7 @@ if self.wallets:
     total_eth = self.wallets.get_total('ETH')
 ```
 
-#### Possible options for Wallets
+### Possible options for Wallets
 
 - `get_free(asset)` - currently available balance to trade
 - `get_used(asset)` - currently tied up balance (open orders)
@@ -549,7 +542,7 @@ if self.wallets:
 
 ***
 
-### Additional data (Trades)
+## Additional data (Trades)
 
 A history of Trades can be retrieved in the strategy by querying the database.
 
@@ -595,13 +588,13 @@ Sample return value: ETH/BTC had 5 trades, with a total profit of 1.5% (ratio of
 !!! Warning
     Trade history is not available during backtesting or hyperopt.
 
-### Prevent trades from happening for a specific pair
+## Prevent trades from happening for a specific pair
 
 Freqtrade locks pairs automatically for the current candle (until that candle is over) when a pair is sold, preventing an immediate re-buy of that pair.
 
 Locked pairs will show the message `Pair  is currently locked.`.
 
-#### Locking pairs from within the strategy
+### Locking pairs from within the strategy
 
 Sometimes it may be desired to lock a pair after certain events happen (e.g. multiple losing trades in a row).
 
@@ -618,7 +611,7 @@ To verify if a pair is currently locked, use `self.is_pair_locked(pair)`.
 !!! Warning
     Locking pairs is not functioning during backtesting.
 
-##### Pair locking example
+#### Pair locking example
 
 ``` python
 from freqtrade.persistence import Trade
@@ -640,7 +633,7 @@ if self.config['runmode'].value in ('live', 'dry_run'):
         self.lock_pair(metadata['pair'], until=datetime.now(timezone.utc) + timedelta(hours=12))
 ```
 
-### Print created dataframe
+## Print created dataframe
 
 To inspect the created dataframe, you can issue a print-statement in either `populate_buy_trend()` or `populate_sell_trend()`.
 You may also want to print the pair so it's clear what data is currently shown.
@@ -664,36 +657,7 @@ def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
 
 Printing more than a few rows is also possible (simply use  `print(dataframe)` instead of `print(dataframe.tail())`), however not recommended, as that will be very verbose (~500 lines per pair every 5 seconds).
 
-### Specify custom strategy location
-
-If you want to use a strategy from a different directory you can pass `--strategy-path`
-
-```bash
-freqtrade trade --strategy AwesomeStrategy --strategy-path /some/directory
-```
-
-### Derived strategies
-
-The strategies can be derived from other strategies. This avoids duplication of your custom strategy code. You can use this technique to override small parts of your main strategy, leaving the rest untouched:
-
-``` python
-class MyAwesomeStrategy(IStrategy):
-    ...
-    stoploss = 0.13
-    trailing_stop = False
-    # All other attributes and methods are here as they
-    # should be in any custom strategy...
-    ...
-
-class MyAwesomeStrategy2(MyAwesomeStrategy):
-    # Override something
-    stoploss = 0.08
-    trailing_stop = True
-```
-
-Both attributes and methods may be overriden, altering behavior of the original strategy in a way you need.
-
-### Common mistakes when developing strategies
+## Common mistakes when developing strategies
 
 Backtesting analyzes the whole time-range at once for performance reasons. Because of this, strategy authors need to make sure that strategies do not look-ahead into the future.
 This is a common pain-point, which can cause huge differences between backtesting and dry/live run methods, since they all use data which is not available during dry/live runs, so these strategies will perform well during backtesting, but will fail / perform badly in real conditions.
@@ -705,7 +669,7 @@ The following lists some common patterns which should be avoided to prevent frus
 - don't use `dataframe['volume'].mean()`. This uses the full DataFrame for backtesting, including data from the future. Use `dataframe['volume'].rolling().mean()` instead
 - don't use `.resample('1h')`. This uses the left border of the interval, so moves data from an hour to the start of the hour. Use `.resample('1h', label='right')` instead.
 
-### Further strategy ideas
+## Further strategy ideas
 
 To get additional Ideas for strategies, head over to our [strategy repository](https://github.com/freqtrade/freqtrade-strategies). Feel free to use them as they are - but results will depend on the current market situation, pairs used etc. - therefore please backtest the strategy for your exchange/desired pairs first, evaluate carefully, use at your own risk.
 Feel free to use any of them as inspiration for your own strategies.

From 09aa954b68f5ca64ffec9508ff94cfb0998a97df Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 8 Aug 2020 17:24:19 +0200
Subject: [PATCH 133/244] Update strategy-customization documentation

---
 docs/strategy-customization.md | 141 ++++++++++++++++++++-------------
 1 file changed, 84 insertions(+), 57 deletions(-)

diff --git a/docs/strategy-customization.md b/docs/strategy-customization.md
index ec521470a..633b82385 100644
--- a/docs/strategy-customization.md
+++ b/docs/strategy-customization.md
@@ -58,12 +58,12 @@ file as reference.**
 
 !!! Note "Strategies and Backtesting"
     To avoid problems and unexpected differences between Backtesting and dry/live modes, please be aware
-    that during backtesting the full time-interval is passed to the `populate_*()` methods at once.
+    that during backtesting the full time range is passed to the `populate_*()` methods at once.
     It is therefore best to use vectorized operations (across the whole dataframe, not loops) and
     avoid index referencing (`df.iloc[-1]`), but instead use `df.shift()` to get to the previous candle.
 
 !!! Warning "Warning: Using future data"
-    Since backtesting passes the full time interval to the `populate_*()` methods, the strategy author
+    Since backtesting passes the full time range to the `populate_*()` methods, the strategy author
     needs to take care to avoid having the strategy utilize data from the future.
     Some common patterns for this are listed in the [Common Mistakes](#common-mistakes-when-developing-strategies) section of this document.
 
@@ -251,7 +251,7 @@ minimal_roi = {
 While technically not completely disabled, this would sell once the trade reaches 10000% Profit.
 
 To use times based on candle duration (timeframe), the following snippet can be handy.
-This will allow you to change the ticket_interval for the strategy, and ROI times will still be set as candles (e.g. after 3 candles ...)
+This will allow you to change the timeframe for the strategy, and ROI times will still be set as candles (e.g. after 3 candles ...)
 
 ``` python
 from freqtrade.exchange import timeframe_to_minutes
@@ -285,7 +285,7 @@ If your exchange supports it, it's recommended to also set `"stoploss_on_exchang
 
 For more information on order_types please look [here](configuration.md#understand-order_types).
 
-### Timeframe (ticker interval)
+### Timeframe (formerly ticker interval)
 
 This is the set of candles the bot should download and use for the analysis.
 Common values are `"1m"`, `"5m"`, `"15m"`, `"1h"`, however all values supported by your exchange should work.
@@ -333,10 +333,10 @@ class Awesomestrategy(IStrategy):
 #### Get data for non-tradeable pairs
 
 Data for additional, informative pairs (reference pairs) can be beneficial for some strategies.
-Ohlcv data for these pairs will be downloaded as part of the regular whitelist refresh process and is available via `DataProvider` just as other pairs (see below).
+OHLCV data for these pairs will be downloaded as part of the regular whitelist refresh process and is available via `DataProvider` just as other pairs (see below).
 These parts will **not** be traded unless they are also specified in the pair whitelist, or have been selected by Dynamic Whitelisting.
 
-The pairs need to be specified as tuples in the format `("pair", "interval")`, with pair as the first and time interval as the second argument.
+The pairs need to be specified as tuples in the format `("pair", "timeframe")`, with pair as the first and timeframe as the second argument.
 
 Sample:
 
@@ -349,8 +349,8 @@ def informative_pairs(self):
 
 !!! Warning
     As these pairs will be refreshed as part of the regular whitelist refresh, it's best to keep this list short.
-    All intervals and all pairs can be specified as long as they are available (and active) on the used exchange.
-    It is however better to use resampling to longer time-intervals when possible
+    All timeframes and all pairs can be specified as long as they are available (and active) on the used exchange.
+    It is however better to use resampling to longer timeframes whenever possible
     to avoid hammering the exchange with too many requests and risk being blocked.
 
 ***
@@ -363,10 +363,14 @@ All methods return `None` in case of failure (do not raise an exception).
 
 Please always check the mode of operation to select the correct method to get data (samples see below).
 
+!!! Warning "Hyperopt"
+    Dataprovider is available during hyperopt, however it can only be used in `populate_indicators()`.
+    It is not available in `populate_buy()` and `populate_sell()` methods.
+
 ### Possible options for DataProvider
 
-- [`available_pairs`](#available_pairs) - Property with tuples listing cached pairs with their intervals (pair, interval).
-- [`current_whitelist()`](#current_whitelist) - Returns a current list of whitelisted pairs. Useful for accessing dynamic whitelists (ie. VolumePairlist)
+- [`available_pairs`](#available_pairs) - Property with tuples listing cached pairs with their timeframe (pair, timeframe).
+- [`current_whitelist()`](#current_whitelist) - Returns a current list of whitelisted pairs. Useful for accessing dynamic whitelists (i.e. VolumePairlist)
 - [`get_pair_dataframe(pair, timeframe)`](#get_pair_dataframepair-timeframe) - This is a universal method, which returns either historical data (for backtesting) or cached live data (for the Dry-Run and Live-Run modes).
 - [`get_analyzed_dataframe(pair, timeframe)`](#get_analyzed_dataframepair-timeframe) - Returns the analyzed dataframe (after calling `populate_indicators()`, `populate_buy()`, `populate_sell()`) and the time of the latest analysis.
 - `historic_ohlcv(pair, timeframe)` - Returns historical data stored on disk.
@@ -401,58 +405,13 @@ Since we can't resample our data we will have to use an informative pair; and si
 This is where calling `self.dp.current_whitelist()` comes in handy.
 
 ```python
-class SampleStrategy(IStrategy):
-    # strategy init stuff...
-
-    timeframe = '5m'
-
-    # more strategy init stuff..
-
     def informative_pairs(self):
 
         # get access to all pairs available in whitelist.
         pairs = self.dp.current_whitelist()
         # Assign tf to each pair so they can be downloaded and cached for strategy.
         informative_pairs = [(pair, '1d') for pair in pairs]
-        return informative_pairs
-
-    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
-
-        inf_tf = '1d'
-        # Get the informative pair
-        informative = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=inf_tf)
-        # Get the 14 day rsi
-        informative['rsi'] = ta.RSI(informative, timeperiod=14)
-
-        # Rename columns to be unique
-        informative.columns = [f"{col}_{inf_tf}" for col in informative.columns]
-        # Assuming inf_tf = '1d' - then the columns will now be:
-        # date_1d, open_1d, high_1d, low_1d, close_1d, rsi_1d
-
-        # Combine the 2 dataframes
-        # all indicators on the informative sample MUST be calculated before this point
-        dataframe = pd.merge(dataframe, informative, left_on='date', right_on=f'date_{inf_tf}', how='left')
-        # FFill to have the 1d value available in every row throughout the day.
-        # Without this, comparisons would only work once per day.
-        dataframe = dataframe.ffill()
-        # Calculate rsi of the original dataframe (5m timeframe)
-        dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
-
-        # Do other stuff
-        # ...
-
-        return dataframe
-
-    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
-
-        dataframe.loc[
-            (
-                (qtpylib.crossed_above(dataframe['rsi'], 30)) &  # Signal: RSI crosses above 30
-                (dataframe['rsi_1d'] < 30) &                     # Ensure daily RSI is < 30
-                (dataframe['volume'] > 0)                        # Ensure this candle had volume (important for backtesting)
-            ),
-            'buy'] = 1
-
+        return informative_pairs   
 ```
 
 ### *get_pair_dataframe(pair, timeframe)*
@@ -479,7 +438,7 @@ It can also be used in specific callbacks to get the signal that caused the acti
 # fetch current dataframe
 if self.dp:
     dataframe, last_updated = self.dp.get_analyzed_dataframe(pair=metadata['pair'],
-                                                             timeframe=self.ticker_interval)
+                                                             timeframe=self.timeframe)
 ```
 
 !!! Note "No data available"
@@ -516,6 +475,74 @@ if self.dp:
     does not always fills in the `last` field (so it can be None), etc. So you need to carefully verify the ticker
     data returned from the exchange and add appropriate error handling / defaults.
 
+!!! Warning "Warning about backtesting"
+    This method will always return up-to-date values - so usage during backtesting / hyperopt will lead to wrong results.
+
+### Complete Data-provider sample
+
+```python
+class SampleStrategy(IStrategy):
+    # strategy init stuff...
+
+    timeframe = '5m'
+
+    # more strategy init stuff..
+
+    def informative_pairs(self):
+
+        # get access to all pairs available in whitelist.
+        pairs = self.dp.current_whitelist()
+        # Assign tf to each pair so they can be downloaded and cached for strategy.
+        informative_pairs = [(pair, '1d') for pair in pairs]
+        # Optionally Add additional "static" pairs
+        informative_pairs += [("ETH/USDT", "5m"),
+                              ("BTC/TUSD", "15m"),
+                            ]
+        return informative_pairs
+
+    def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+        if not self.dp:
+            # Don't do anything if DataProvider is not available.
+            return dataframe
+
+        inf_tf = '1d'
+        # Get the informative pair
+        informative = self.dp.get_pair_dataframe(pair=metadata['pair'], timeframe=inf_tf)
+        # Get the 14 day rsi
+        informative['rsi'] = ta.RSI(informative, timeperiod=14)
+
+        # Rename columns to be unique
+        informative.columns = [f"{col}_{inf_tf}" for col in informative.columns]
+        # Assuming inf_tf = '1d' - then the columns will now be:
+        # date_1d, open_1d, high_1d, low_1d, close_1d, rsi_1d
+
+        # Combine the 2 dataframes
+        # all indicators on the informative sample MUST be calculated before this point
+        dataframe = pd.merge(dataframe, informative, left_on='date', right_on=f'date_{inf_tf}', how='left')
+        # FFill to have the 1d value available in every row throughout the day.
+        # Without this, comparisons would only work once per day.
+        dataframe = dataframe.ffill()
+
+        # Calculate rsi of the original dataframe (5m timeframe)
+        dataframe['rsi'] = ta.RSI(dataframe, timeperiod=14)
+
+        # Do other stuff
+        # ...
+
+        return dataframe
+
+    def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
+
+        dataframe.loc[
+            (
+                (qtpylib.crossed_above(dataframe['rsi'], 30)) &  # Signal: RSI crosses above 30
+                (dataframe['rsi_1d'] < 30) &                     # Ensure daily RSI is < 30
+                (dataframe['volume'] > 0)                        # Ensure this candle had volume (important for backtesting)
+            ),
+            'buy'] = 1
+
+```
+
 ***
 
 ## Additional data (Wallets)

From 2afe1d5b11b1e63ee403b147fcd0572a9723a716 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 8 Aug 2020 17:27:22 +0200
Subject: [PATCH 134/244] Add link to full sample

---
 docs/strategy-customization.md    | 6 ++++--
 freqtrade/optimize/backtesting.py | 1 -
 2 files changed, 4 insertions(+), 3 deletions(-)

diff --git a/docs/strategy-customization.md b/docs/strategy-customization.md
index 633b82385..73d085abd 100644
--- a/docs/strategy-customization.md
+++ b/docs/strategy-customization.md
@@ -328,9 +328,9 @@ class Awesomestrategy(IStrategy):
 
 ***
 
-### Additional data (informative_pairs)
+## Additional data (informative_pairs)
 
-#### Get data for non-tradeable pairs
+### Get data for non-tradeable pairs
 
 Data for additional, informative pairs (reference pairs) can be beneficial for some strategies.
 OHLCV data for these pairs will be downloaded as part of the regular whitelist refresh process and is available via `DataProvider` just as other pairs (see below).
@@ -347,6 +347,8 @@ def informative_pairs(self):
             ]
 ```
 
+A full sample can be found [in the DataProvider section](#complete-data-provider-sample).
+
 !!! Warning
     As these pairs will be refreshed as part of the regular whitelist refresh, it's best to keep this list short.
     All timeframes and all pairs can be specified as long as they are available (and active) on the used exchange.
diff --git a/freqtrade/optimize/backtesting.py b/freqtrade/optimize/backtesting.py
index d058493cf..f3070f10f 100644
--- a/freqtrade/optimize/backtesting.py
+++ b/freqtrade/optimize/backtesting.py
@@ -24,7 +24,6 @@ from freqtrade.optimize.optimize_reports import (generate_backtest_stats,
 from freqtrade.pairlist.pairlistmanager import PairListManager
 from freqtrade.persistence import Trade
 from freqtrade.resolvers import ExchangeResolver, StrategyResolver
-from freqtrade.state import RunMode
 from freqtrade.strategy.interface import IStrategy, SellCheckTuple, SellType
 
 logger = logging.getLogger(__name__)

From fca41a44bb278b7544f6024ebff9f0fb2bd8d359 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 8 Aug 2020 20:20:58 +0200
Subject: [PATCH 135/244] Also logg timeframe

---
 freqtrade/optimize/optimize_reports.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index f917e7cab..8e25d9d89 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -269,6 +269,7 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame],
             'stake_amount': config['stake_amount'],
             'stake_currency': config['stake_currency'],
             'max_open_trades': config['max_open_trades'],
+            'timeframe': config['timeframe'],
             **daily_stats,
         }
         result['strategy'][strategy] = strat_stats

From 2663aede24af7e5b3eab2608f9e5be6fef3c00d5 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sun, 9 Aug 2020 10:28:11 +0200
Subject: [PATCH 136/244] Update test to reflect new column naming

---
 tests/edge/test_edge.py | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/tests/edge/test_edge.py b/tests/edge/test_edge.py
index 969b0c44b..d35f7fcf6 100644
--- a/tests/edge/test_edge.py
+++ b/tests/edge/test_edge.py
@@ -418,8 +418,8 @@ def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,):
          'stoploss': -0.9,
          'profit_percent': '',
          'profit_abs': '',
-         'open_time': np.datetime64('2018-10-03T00:05:00.000000000'),
-         'close_time': np.datetime64('2018-10-03T00:10:00.000000000'),
+         'open_date': np.datetime64('2018-10-03T00:05:00.000000000'),
+         'close_date': np.datetime64('2018-10-03T00:10:00.000000000'),
          'open_index': 1,
          'close_index': 1,
          'trade_duration': '',
@@ -431,8 +431,8 @@ def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,):
          'stoploss': -0.9,
          'profit_percent': '',
          'profit_abs': '',
-         'open_time': np.datetime64('2018-10-03T00:20:00.000000000'),
-         'close_time': np.datetime64('2018-10-03T00:25:00.000000000'),
+         'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
+         'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
          'open_index': 4,
          'close_index': 4,
          'trade_duration': '',
@@ -443,8 +443,8 @@ def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,):
          'stoploss': -0.9,
          'profit_percent': '',
          'profit_abs': '',
-         'open_time': np.datetime64('2018-10-03T00:20:00.000000000'),
-         'close_time': np.datetime64('2018-10-03T00:25:00.000000000'),
+         'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
+         'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
          'open_index': 4,
          'close_index': 4,
          'trade_duration': '',
@@ -455,8 +455,8 @@ def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,):
          'stoploss': -0.9,
          'profit_percent': '',
          'profit_abs': '',
-         'open_time': np.datetime64('2018-10-03T00:20:00.000000000'),
-         'close_time': np.datetime64('2018-10-03T00:25:00.000000000'),
+         'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
+         'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
          'open_index': 4,
          'close_index': 4,
          'trade_duration': '',
@@ -467,8 +467,8 @@ def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,):
          'stoploss': -0.9,
          'profit_percent': '',
          'profit_abs': '',
-         'open_time': np.datetime64('2018-10-03T00:20:00.000000000'),
-         'close_time': np.datetime64('2018-10-03T00:25:00.000000000'),
+         'open_date': np.datetime64('2018-10-03T00:20:00.000000000'),
+         'close_date': np.datetime64('2018-10-03T00:25:00.000000000'),
          'open_index': 4,
          'close_index': 4,
          'trade_duration': '',
@@ -480,8 +480,8 @@ def test_process_expectancy_remove_pumps(mocker, edge_conf, fee,):
          'stoploss': -0.9,
          'profit_percent': '',
          'profit_abs': '',
-         'open_time': np.datetime64('2018-10-03T00:30:00.000000000'),
-         'close_time': np.datetime64('2018-10-03T00:40:00.000000000'),
+         'open_date': np.datetime64('2018-10-03T00:30:00.000000000'),
+         'close_date': np.datetime64('2018-10-03T00:40:00.000000000'),
          'open_index': 6,
          'close_index': 7,
          'trade_duration': '',

From 17613f203a2f898b8388a7eb85c82ac1acf5c5e8 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 10 Aug 2020 06:17:04 +0000
Subject: [PATCH 137/244] Bump mkdocs-material from 5.5.1 to 5.5.3

Bumps [mkdocs-material](https://github.com/squidfunk/mkdocs-material) from 5.5.1 to 5.5.3.
- [Release notes](https://github.com/squidfunk/mkdocs-material/releases)
- [Changelog](https://github.com/squidfunk/mkdocs-material/blob/master/docs/changelog.md)
- [Commits](https://github.com/squidfunk/mkdocs-material/compare/5.5.1...5.5.3)

Signed-off-by: dependabot[bot] 
---
 docs/requirements-docs.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/requirements-docs.txt b/docs/requirements-docs.txt
index c30661b6a..4068e364b 100644
--- a/docs/requirements-docs.txt
+++ b/docs/requirements-docs.txt
@@ -1,2 +1,2 @@
-mkdocs-material==5.5.1
+mkdocs-material==5.5.3
 mdx_truly_sane_lists==1.2

From 1afe4df7be5234630475ebdffc6d875c2467ddf1 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 10 Aug 2020 06:17:36 +0000
Subject: [PATCH 138/244] Bump ccxt from 1.32.45 to 1.32.88

Bumps [ccxt](https://github.com/ccxt/ccxt) from 1.32.45 to 1.32.88.
- [Release notes](https://github.com/ccxt/ccxt/releases)
- [Changelog](https://github.com/ccxt/ccxt/blob/master/doc/exchanges-by-country.rst)
- [Commits](https://github.com/ccxt/ccxt/compare/1.32.45...1.32.88)

Signed-off-by: dependabot[bot] 
---
 requirements-common.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements-common.txt b/requirements-common.txt
index 62cde9dbc..b7e71eada 100644
--- a/requirements-common.txt
+++ b/requirements-common.txt
@@ -1,6 +1,6 @@
 # requirements without requirements installable via conda
 # mainly used for Raspberry pi installs
-ccxt==1.32.45
+ccxt==1.32.88
 SQLAlchemy==1.3.18
 python-telegram-bot==12.8
 arrow==0.15.8

From c9c43d2f0b6adc59811a292efe95448d411f1499 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 11 Aug 2020 15:27:41 +0200
Subject: [PATCH 139/244] Move log-message of retrying before decrementing
 count

Otherwise the message is always one round "late".
---
 freqtrade/exchange/common.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/freqtrade/exchange/common.py b/freqtrade/exchange/common.py
index 0610e8447..cbab742b7 100644
--- a/freqtrade/exchange/common.py
+++ b/freqtrade/exchange/common.py
@@ -107,9 +107,9 @@ def retrier_async(f):
         except TemporaryError as ex:
             logger.warning('%s() returned exception: "%s"', f.__name__, ex)
             if count > 0:
+                logger.warning('retrying %s() still for %s times', f.__name__, count)
                 count -= 1
                 kwargs.update({'count': count})
-                logger.warning('retrying %s() still for %s times', f.__name__, count)
                 if isinstance(ex, DDosProtection):
                     backoff_delay = calculate_backoff(count + 1, API_RETRY_COUNT)
                     logger.debug(f"Applying DDosProtection backoff delay: {backoff_delay}")
@@ -131,9 +131,9 @@ def retrier(_func=None, retries=API_RETRY_COUNT):
             except (TemporaryError, RetryableOrderError) as ex:
                 logger.warning('%s() returned exception: "%s"', f.__name__, ex)
                 if count > 0:
+                    logger.warning('retrying %s() still for %s times', f.__name__, count)
                     count -= 1
                     kwargs.update({'count': count})
-                    logger.warning('retrying %s() still for %s times', f.__name__, count)
                     if isinstance(ex, DDosProtection) or isinstance(ex, RetryableOrderError):
                         # increasing backoff
                         backoff_delay = calculate_backoff(count + 1, retries)

From d77c53960dfc789a5ae013ac89a04b26f4f4456f Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 11 Aug 2020 19:27:25 +0200
Subject: [PATCH 140/244] Show API backoff in logs to better investigate
 eventual problems)

---
 freqtrade/exchange/common.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/freqtrade/exchange/common.py b/freqtrade/exchange/common.py
index cbab742b7..3bba9be72 100644
--- a/freqtrade/exchange/common.py
+++ b/freqtrade/exchange/common.py
@@ -112,7 +112,7 @@ def retrier_async(f):
                 kwargs.update({'count': count})
                 if isinstance(ex, DDosProtection):
                     backoff_delay = calculate_backoff(count + 1, API_RETRY_COUNT)
-                    logger.debug(f"Applying DDosProtection backoff delay: {backoff_delay}")
+                    logger.info(f"Applying DDosProtection backoff delay: {backoff_delay}")
                     await asyncio.sleep(backoff_delay)
                 return await wrapper(*args, **kwargs)
             else:
@@ -137,7 +137,7 @@ def retrier(_func=None, retries=API_RETRY_COUNT):
                     if isinstance(ex, DDosProtection) or isinstance(ex, RetryableOrderError):
                         # increasing backoff
                         backoff_delay = calculate_backoff(count + 1, retries)
-                        logger.debug(f"Applying DDosProtection backoff delay: {backoff_delay}")
+                        logger.info(f"Applying DDosProtection backoff delay: {backoff_delay}")
                         time.sleep(backoff_delay)
                     return wrapper(*args, **kwargs)
                 else:

From 77541935a8d686b0b1feb1ce345261a2c40436e8 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 11 Aug 2020 20:10:43 +0200
Subject: [PATCH 141/244] Fix small merge mistake

---
 freqtrade/commands/hyperopt_commands.py | 16 ++++-----
 tests/commands/test_commands.py         | 44 ++++++++++++++++---------
 2 files changed, 37 insertions(+), 23 deletions(-)

diff --git a/freqtrade/commands/hyperopt_commands.py b/freqtrade/commands/hyperopt_commands.py
index 7b079bdfe..b769100be 100755
--- a/freqtrade/commands/hyperopt_commands.py
+++ b/freqtrade/commands/hyperopt_commands.py
@@ -183,17 +183,17 @@ def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
             if x['results_metrics']['profit'] < filteroptions['filter_max_total_profit']
         ]
     if filteroptions['filter_min_objective'] is not None:
-        trials = [x for x in trials if x['results_metrics']['trade_count'] > 0]
-        # trials = [x for x in trials if x['loss'] != 20]
-        trials = [
-            x for x in trials
+        epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
+        # epochs = [x for x in epochs if x['loss'] != 20]
+        epochs = [
+            x for x in epochs
             if x['loss'] < filteroptions['filter_min_objective']
         ]
     if filteroptions['filter_max_objective'] is not None:
-        trials = [x for x in trials if x['results_metrics']['trade_count'] > 0]
-        # trials = [x for x in trials if x['loss'] != 20]
-        trials = [
-            x for x in trials
+        epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
+        # epochs = [x for x in epochs if x['loss'] != 20]
+        epochs = [
+            x for x in epochs
             if x['loss'] > filteroptions['filter_max_objective']
         ]
 
diff --git a/tests/commands/test_commands.py b/tests/commands/test_commands.py
index 4ef4ec6c5..1eb017465 100644
--- a/tests/commands/test_commands.py
+++ b/tests/commands/test_commands.py
@@ -736,7 +736,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
 
     args = [
         "hyperopt-list",
-        "--no-details"
+        "--no-details",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -749,7 +750,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--best",
-        "--no-details"
+        "--no-details",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -763,7 +765,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--profitable",
-        "--no-details"
+        "--no-details",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -776,7 +779,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
                          " 11/12", " 12/12"])
     args = [
         "hyperopt-list",
-        "--profitable"
+        "--profitable",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -792,7 +796,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--no-details",
         "--no-color",
-        "--min-trades", "20"
+        "--min-trades", "20",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -806,7 +811,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--profitable",
         "--no-details",
-        "--max-trades", "20"
+        "--max-trades", "20",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -821,7 +827,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--profitable",
         "--no-details",
-        "--min-avg-profit", "0.11"
+        "--min-avg-profit", "0.11",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -835,7 +842,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--no-details",
-        "--max-avg-profit", "0.10"
+        "--max-avg-profit", "0.10",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -849,7 +857,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--no-details",
-        "--min-total-profit", "0.4"
+        "--min-total-profit", "0.4",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -863,7 +872,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--no-details",
-        "--max-total-profit", "0.4"
+        "--max-total-profit", "0.4",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -877,7 +887,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--no-details",
-        "--min-objective", "0.1"
+        "--min-objective", "0.1",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -891,7 +902,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--no-details",
-        "--max-objective", "0.1"
+        "--max-objective", "0.1",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -906,7 +918,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--profitable",
         "--no-details",
-        "--min-avg-time", "2000"
+        "--min-avg-time", "2000",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -920,7 +933,8 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--no-details",
-        "--max-avg-time", "1500"
+        "--max-avg-time", "1500",
+        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -934,7 +948,7 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--no-details",
-        "--export-csv", "test_file.csv"
+        "--export-csv", "test_file.csv",
     ]
     pargs = get_args(args)
     pargs['config'] = None

From f51c03aa864e4489bb55886cf86b3be0bc413216 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 11 Aug 2020 20:29:47 +0200
Subject: [PATCH 142/244] Revert changes to color using --no-color

---
 tests/commands/test_commands.py | 14 --------------
 1 file changed, 14 deletions(-)

diff --git a/tests/commands/test_commands.py b/tests/commands/test_commands.py
index 1eb017465..69d80d2cd 100644
--- a/tests/commands/test_commands.py
+++ b/tests/commands/test_commands.py
@@ -737,7 +737,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--no-details",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -751,7 +750,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--best",
         "--no-details",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -766,7 +764,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--profitable",
         "--no-details",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -780,7 +777,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
     args = [
         "hyperopt-list",
         "--profitable",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -797,7 +793,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "--no-details",
         "--no-color",
         "--min-trades", "20",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -812,7 +807,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "--profitable",
         "--no-details",
         "--max-trades", "20",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -828,7 +822,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "--profitable",
         "--no-details",
         "--min-avg-profit", "0.11",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -843,7 +836,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--no-details",
         "--max-avg-profit", "0.10",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -858,7 +850,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--no-details",
         "--min-total-profit", "0.4",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -873,7 +864,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--no-details",
         "--max-total-profit", "0.4",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -888,7 +878,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--no-details",
         "--min-objective", "0.1",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -903,7 +892,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--no-details",
         "--max-objective", "0.1",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -919,7 +907,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "--profitable",
         "--no-details",
         "--min-avg-time", "2000",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None
@@ -934,7 +921,6 @@ def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
         "hyperopt-list",
         "--no-details",
         "--max-avg-time", "1500",
-        "--no-color",
     ]
     pargs = get_args(args)
     pargs['config'] = None

From 56655b97cfc52116c7f990405dee6d5ebaea2ce7 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 11 Aug 2020 20:37:01 +0200
Subject: [PATCH 143/244] Refactor hyperopt_filter method

---
 freqtrade/commands/hyperopt_commands.py | 38 ++++++++++++++++++++++---
 1 file changed, 34 insertions(+), 4 deletions(-)

diff --git a/freqtrade/commands/hyperopt_commands.py b/freqtrade/commands/hyperopt_commands.py
index b769100be..a724443cf 100755
--- a/freqtrade/commands/hyperopt_commands.py
+++ b/freqtrade/commands/hyperopt_commands.py
@@ -10,7 +10,7 @@ from freqtrade.state import RunMode
 
 logger = logging.getLogger(__name__)
 
-# flake8: noqa C901
+
 def start_hyperopt_list(args: Dict[str, Any]) -> None:
     """
     List hyperopt epochs previously evaluated
@@ -47,7 +47,7 @@ def start_hyperopt_list(args: Dict[str, Any]) -> None:
     epochs = Hyperopt.load_previous_results(results_file)
     total_epochs = len(epochs)
 
-    epochs = _hyperopt_filter_epochs(epochs, filteroptions)
+    epochs = hyperopt_filter_epochs(epochs, filteroptions)
 
     if print_colorized:
         colorama_init(autoreset=True)
@@ -108,7 +108,7 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
     epochs = Hyperopt.load_previous_results(results_file)
     total_epochs = len(epochs)
 
-    epochs = _hyperopt_filter_epochs(epochs, filteroptions)
+    epochs = hyperopt_filter_epochs(epochs, filteroptions)
     filtered_epochs = len(epochs)
 
     if n > filtered_epochs:
@@ -128,7 +128,7 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
                                      header_str="Epoch details")
 
 
-def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
+def hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
     """
     Filter our items from the list of hyperopt results
     """
@@ -136,6 +136,20 @@ def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
         epochs = [x for x in epochs if x['is_best']]
     if filteroptions['only_profitable']:
         epochs = [x for x in epochs if x['results_metrics']['profit'] > 0]
+
+    epochs = _hyperopt_filter_epochs_trade_count(epochs, filteroptions)
+
+    epochs = _hyperopt_filter_epochs_duration(epochs, filteroptions)
+
+    epochs = _hyperopt_filter_epochs_profit(epochs, filteroptions)
+
+    epochs = _hyperopt_filter_epochs_objective(epochs, filteroptions)
+
+    return epochs
+
+
+def _hyperopt_filter_epochs_trade_count(epochs: List, filteroptions: dict) -> List:
+
     if filteroptions['filter_min_trades'] > 0:
         epochs = [
             x for x in epochs
@@ -146,6 +160,11 @@ def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
             x for x in epochs
             if x['results_metrics']['trade_count'] < filteroptions['filter_max_trades']
         ]
+    return epochs
+
+
+def _hyperopt_filter_epochs_duration(epochs: List, filteroptions: dict) -> List:
+
     if filteroptions['filter_min_avg_time'] is not None:
         epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
         epochs = [
@@ -158,6 +177,12 @@ def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
             x for x in epochs
             if x['results_metrics']['duration'] < filteroptions['filter_max_avg_time']
         ]
+
+    return epochs
+
+
+def _hyperopt_filter_epochs_profit(epochs: List, filteroptions: dict) -> List:
+
     if filteroptions['filter_min_avg_profit'] is not None:
         epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
         epochs = [
@@ -182,6 +207,11 @@ def _hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
             x for x in epochs
             if x['results_metrics']['profit'] < filteroptions['filter_max_total_profit']
         ]
+    return epochs
+
+
+def _hyperopt_filter_epochs_objective(epochs: List, filteroptions: dict) -> List:
+
     if filteroptions['filter_min_objective'] is not None:
         epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
         # epochs = [x for x in epochs if x['loss'] != 20]

From 2dc36bb79eece79fd20c7ffac92fb1c12ba4177e Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 11 Aug 2020 20:52:18 +0200
Subject: [PATCH 144/244] Remove inversion of min/max objective selection

---
 freqtrade/commands/hyperopt_commands.py | 5 -----
 1 file changed, 5 deletions(-)

diff --git a/freqtrade/commands/hyperopt_commands.py b/freqtrade/commands/hyperopt_commands.py
index a724443cf..d37c1f13b 100755
--- a/freqtrade/commands/hyperopt_commands.py
+++ b/freqtrade/commands/hyperopt_commands.py
@@ -99,11 +99,6 @@ def start_hyperopt_show(args: Dict[str, Any]) -> None:
         'filter_max_objective': config.get('hyperopt_list_max_objective', None)
     }
 
-    if filteroptions['filter_min_objective'] is not None:
-        filteroptions['filter_min_objective'] = -filteroptions['filter_min_objective']
-    if filteroptions['filter_max_objective'] is not None:
-        filteroptions['filter_max_objective'] = -filteroptions['filter_max_objective']
-
     # Previous evaluations
     epochs = Hyperopt.load_previous_results(results_file)
     total_epochs = len(epochs)

From 2fed066e767bb3c3015af5d4a9f31ad588619fad Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Wed, 12 Aug 2020 10:39:53 +0200
Subject: [PATCH 145/244] Simplify objective code formatting

---
 freqtrade/commands/hyperopt_commands.py | 21 +++++++--------------
 1 file changed, 7 insertions(+), 14 deletions(-)

diff --git a/freqtrade/commands/hyperopt_commands.py b/freqtrade/commands/hyperopt_commands.py
index d37c1f13b..4fae51e28 100755
--- a/freqtrade/commands/hyperopt_commands.py
+++ b/freqtrade/commands/hyperopt_commands.py
@@ -140,6 +140,10 @@ def hyperopt_filter_epochs(epochs: List, filteroptions: dict) -> List:
 
     epochs = _hyperopt_filter_epochs_objective(epochs, filteroptions)
 
+    logger.info(f"{len(epochs)} " +
+                ("best " if filteroptions['only_best'] else "") +
+                ("profitable " if filteroptions['only_profitable'] else "") +
+                "epochs found.")
     return epochs
 
 
@@ -209,22 +213,11 @@ def _hyperopt_filter_epochs_objective(epochs: List, filteroptions: dict) -> List
 
     if filteroptions['filter_min_objective'] is not None:
         epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
-        # epochs = [x for x in epochs if x['loss'] != 20]
-        epochs = [
-            x for x in epochs
-            if x['loss'] < filteroptions['filter_min_objective']
-        ]
+
+        epochs = [x for x in epochs if x['loss'] < filteroptions['filter_min_objective']]
     if filteroptions['filter_max_objective'] is not None:
         epochs = [x for x in epochs if x['results_metrics']['trade_count'] > 0]
-        # epochs = [x for x in epochs if x['loss'] != 20]
-        epochs = [
-            x for x in epochs
-            if x['loss'] > filteroptions['filter_max_objective']
-        ]
 
-    logger.info(f"{len(epochs)} " +
-                ("best " if filteroptions['only_best'] else "") +
-                ("profitable " if filteroptions['only_profitable'] else "") +
-                "epochs found.")
+        epochs = [x for x in epochs if x['loss'] > filteroptions['filter_max_objective']]
 
     return epochs

From 1f1a819b292ecf927c2d332a1fd788ac5b7359a6 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Wed, 12 Aug 2020 11:21:00 +0200
Subject: [PATCH 146/244] Remove unused 3rd argument to create_stoploss call

---
 freqtrade/freqtradebot.py  | 10 ++++------
 tests/test_freqtradebot.py |  2 +-
 2 files changed, 5 insertions(+), 7 deletions(-)

diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py
index 967f68b90..3168976e2 100644
--- a/freqtrade/freqtradebot.py
+++ b/freqtrade/freqtradebot.py
@@ -768,7 +768,7 @@ class FreqtradeBot:
         logger.debug('Found no sell signal for %s.', trade)
         return False
 
-    def create_stoploss_order(self, trade: Trade, stop_price: float, rate: float) -> bool:
+    def create_stoploss_order(self, trade: Trade, stop_price: float) -> bool:
         """
         Abstracts creating stoploss orders from the logic.
         Handles errors and updates the trade database object.
@@ -831,14 +831,13 @@ class FreqtradeBot:
             stoploss = self.edge.stoploss(pair=trade.pair) if self.edge else self.strategy.stoploss
             stop_price = trade.open_rate * (1 + stoploss)
 
-            if self.create_stoploss_order(trade=trade, stop_price=stop_price, rate=stop_price):
+            if self.create_stoploss_order(trade=trade, stop_price=stop_price):
                 trade.stoploss_last_update = datetime.now()
                 return False
 
         # If stoploss order is canceled for some reason we add it
         if stoploss_order and stoploss_order['status'] in ('canceled', 'cancelled'):
-            if self.create_stoploss_order(trade=trade, stop_price=trade.stop_loss,
-                                          rate=trade.stop_loss):
+            if self.create_stoploss_order(trade=trade, stop_price=trade.stop_loss):
                 return False
             else:
                 trade.stoploss_order_id = None
@@ -875,8 +874,7 @@ class FreqtradeBot:
                                      f"for pair {trade.pair}")
 
                 # Create new stoploss order
-                if not self.create_stoploss_order(trade=trade, stop_price=trade.stop_loss,
-                                                  rate=trade.stop_loss):
+                if not self.create_stoploss_order(trade=trade, stop_price=trade.stop_loss):
                     logger.warning(f"Could not create trailing stoploss order "
                                    f"for pair {trade.pair}.")
 
diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py
index 5c225bbc0..87071be3e 100644
--- a/tests/test_freqtradebot.py
+++ b/tests/test_freqtradebot.py
@@ -1301,7 +1301,7 @@ def test_create_stoploss_order_invalid_order(mocker, default_conf, caplog, fee,
     freqtrade.enter_positions()
     trade = Trade.query.first()
     caplog.clear()
-    freqtrade.create_stoploss_order(trade, 200, 199)
+    freqtrade.create_stoploss_order(trade, 200)
     assert trade.stoploss_order_id is None
     assert trade.sell_reason == SellType.EMERGENCY_SELL.value
     assert log_has("Unable to place a stoploss order on exchange. ", caplog)

From 6dfa159a914968d6a8838020521bfb1da5f1a905 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Wed, 12 Aug 2020 14:11:19 +0200
Subject: [PATCH 147/244] Small comment adjustments in exchange class

---
 freqtrade/exchange/exchange.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py
index 8438941f7..f8bac3a8d 100644
--- a/freqtrade/exchange/exchange.py
+++ b/freqtrade/exchange/exchange.py
@@ -974,7 +974,7 @@ class Exchange:
         except ccxt.BaseError as e:
             raise OperationalException(e) from e
 
-    # Assign method to fetch_stoploss_order to allow easy overriding in other classes
+    # Assign method to cancel_stoploss_order to allow easy overriding in other classes
     cancel_stoploss_order = cancel_order
 
     def is_cancel_order_result_suitable(self, corder) -> bool:
@@ -1040,10 +1040,10 @@ class Exchange:
     @retrier
     def fetch_l2_order_book(self, pair: str, limit: int = 100) -> dict:
         """
-        get order book level 2 from exchange
-
-        Notes:
-        20180619: bittrex doesnt support limits -.-
+        Get L2 order book from exchange.
+        Can be limited to a certain amount (if supported).
+        Returns a dict in the format
+        {'asks': [price, volume], 'bids': [price, volume]}
         """
         try:
 

From faa2bbb5553a19b21341c031e9eef46508551254 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Wed, 12 Aug 2020 14:25:50 +0200
Subject: [PATCH 148/244] Document exception hierarchy

---
 docs/developer.md          | 29 +++++++++++++++++++++++++++++
 freqtrade/exceptions.py    | 16 ++++++++--------
 freqtrade/freqtradebot.py  |  4 ++--
 freqtrade/rpc/rpc.py       |  6 +++---
 tests/test_freqtradebot.py |  3 ++-
 5 files changed, 44 insertions(+), 14 deletions(-)

diff --git a/docs/developer.md b/docs/developer.md
index 036109d5b..ce454cec2 100644
--- a/docs/developer.md
+++ b/docs/developer.md
@@ -85,6 +85,35 @@ docker-compose exec freqtrade_develop /bin/bash
 
 ![image](https://user-images.githubusercontent.com/419355/65456522-ba671a80-de06-11e9-9598-df9ca0d8dcac.png)
 
+## ErrorHandling
+
+Freqtrade Exceptions all inherit from `FreqtradeException`.
+This general class of error should however not be used directly, instead, multiple specialized sub-Exceptions exist.
+
+Below is an outline of exception inheritance hierarchy:
+
+```
++ FreqtradeException
+|
++---+ OperationalException
+|
++---+ DependencyException
+|   |
+|   +---+ PricingError
+|   |
+|   +---+ ExchangeError
+|       |
+|       +---+ TemporaryError
+|       |
+|       +---+ DDosProtection
+|       |
+|       +---+ InvalidOrderException
+|           |
+|           +---+ RetryableOrderError
+|
++---+ StrategyError
+```
+
 ## Modules
 
 ### Dynamic Pairlist
diff --git a/freqtrade/exceptions.py b/freqtrade/exceptions.py
index c85fccc4b..e2bc969a9 100644
--- a/freqtrade/exceptions.py
+++ b/freqtrade/exceptions.py
@@ -29,7 +29,14 @@ class PricingError(DependencyException):
     """
 
 
-class InvalidOrderException(FreqtradeException):
+class ExchangeError(DependencyException):
+    """
+    Error raised out of the exchange.
+    Has multiple Errors to determine the appropriate error.
+    """
+
+
+class InvalidOrderException(ExchangeError):
     """
     This is returned when the order is not valid. Example:
     If stoploss on exchange order is hit, then trying to cancel the order
@@ -44,13 +51,6 @@ class RetryableOrderError(InvalidOrderException):
     """
 
 
-class ExchangeError(DependencyException):
-    """
-    Error raised out of the exchange.
-    Has multiple Errors to determine the appropriate error.
-    """
-
-
 class TemporaryError(ExchangeError):
     """
     Temporary network or exchange related error.
diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py
index 3168976e2..557aefe94 100644
--- a/freqtrade/freqtradebot.py
+++ b/freqtrade/freqtradebot.py
@@ -919,7 +919,7 @@ class FreqtradeBot:
                 if not trade.open_order_id:
                     continue
                 order = self.exchange.fetch_order(trade.open_order_id, trade.pair)
-            except (ExchangeError, InvalidOrderException):
+            except (ExchangeError):
                 logger.info('Cannot query order for %s due to %s', trade, traceback.format_exc())
                 continue
 
@@ -952,7 +952,7 @@ class FreqtradeBot:
         for trade in Trade.get_open_order_trades():
             try:
                 order = self.exchange.fetch_order(trade.open_order_id, trade.pair)
-            except (DependencyException, InvalidOrderException):
+            except (ExchangeError):
                 logger.info('Cannot query order for %s due to %s', trade, traceback.format_exc())
                 continue
 
diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index 8a1ff7e96..f4e20c16f 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -11,7 +11,7 @@ from typing import Any, Dict, List, Optional, Tuple, Union
 import arrow
 from numpy import NAN, mean
 
-from freqtrade.exceptions import (ExchangeError, InvalidOrderException,
+from freqtrade.exceptions import (ExchangeError,
                                   PricingError)
 from freqtrade.exchange import timeframe_to_minutes, timeframe_to_msecs
 from freqtrade.misc import shorten_date
@@ -555,7 +555,7 @@ class RPC:
                 try:
                     self._freqtrade.exchange.cancel_order(trade.open_order_id, trade.pair)
                     c_count += 1
-                except (ExchangeError, InvalidOrderException):
+                except (ExchangeError):
                     pass
 
             # cancel stoploss on exchange ...
@@ -565,7 +565,7 @@ class RPC:
                     self._freqtrade.exchange.cancel_stoploss_order(trade.stoploss_order_id,
                                                                    trade.pair)
                     c_count += 1
-                except (ExchangeError, InvalidOrderException):
+                except (ExchangeError):
                     pass
 
             Trade.session.delete(trade)
diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py
index 87071be3e..2c6d2314c 100644
--- a/tests/test_freqtradebot.py
+++ b/tests/test_freqtradebot.py
@@ -1,6 +1,7 @@
 # pragma pylint: disable=missing-docstring, C0103
 # pragma pylint: disable=protected-access, too-many-lines, invalid-name, too-many-arguments
 
+from freqtrade.exchange.exchange import Exchange
 import logging
 import time
 from copy import deepcopy
@@ -4107,7 +4108,7 @@ def test_sync_wallet_dry_run(mocker, default_conf, ticker, fee, limit_buy_order,
 def test_cancel_all_open_orders(mocker, default_conf, fee, limit_buy_order, limit_sell_order):
     default_conf['cancel_open_orders_on_exit'] = True
     mocker.patch('freqtrade.exchange.Exchange.fetch_order',
-                 side_effect=[DependencyException(), limit_sell_order, limit_buy_order])
+                 side_effect=[ExchangeError(), limit_sell_order, limit_buy_order])
     buy_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_cancel_buy')
     sell_mock = mocker.patch('freqtrade.freqtradebot.FreqtradeBot.handle_cancel_sell')
 

From 815d88fd4a4f2b133653df7fa75d6fa2c40c69ed Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Wed, 12 Aug 2020 15:32:56 +0200
Subject: [PATCH 149/244] Fix test after merge, fix forgotten 'amount'

---
 freqtrade/freqtradebot.py | 2 +-
 freqtrade/persistence.py  | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py
index b4ef2b086..816d24e18 100644
--- a/freqtrade/freqtradebot.py
+++ b/freqtrade/freqtradebot.py
@@ -553,7 +553,7 @@ class FreqtradeBot:
                                order['filled'], order['amount'], order['remaining']
                                )
                 stake_amount = order['cost']
-                amount = order['filled']
+                amount = safe_value_fallback(order, 'filled', 'amount')
                 buy_limit_filled_price = safe_value_fallback(order, 'average', 'price')
                 order_id = None
 
diff --git a/freqtrade/persistence.py b/freqtrade/persistence.py
index fdb816eab..28753ed48 100644
--- a/freqtrade/persistence.py
+++ b/freqtrade/persistence.py
@@ -259,7 +259,7 @@ class Trade(_DECL_BASE):
             'is_open': self.is_open,
             'exchange': self.exchange,
             'amount': round(self.amount, 8),
-            'amount_requested': round(self.amount_requested, 8),
+            'amount_requested': round(self.amount_requested, 8) if self.amount_requested else None,
             'stake_amount': round(self.stake_amount, 8),
             'strategy': self.strategy,
             'ticker_interval': self.timeframe,  # DEPRECATED

From 3afd5b631e39a85d3c0536979f8e529c6c82a917 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Wed, 12 Aug 2020 15:34:29 +0200
Subject: [PATCH 150/244] Remove erroneous import

---
 tests/test_freqtradebot.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py
index 2c6d2314c..ec59ca5b0 100644
--- a/tests/test_freqtradebot.py
+++ b/tests/test_freqtradebot.py
@@ -1,7 +1,6 @@
 # pragma pylint: disable=missing-docstring, C0103
 # pragma pylint: disable=protected-access, too-many-lines, invalid-name, too-many-arguments
 
-from freqtrade.exchange.exchange import Exchange
 import logging
 import time
 from copy import deepcopy

From 827c31d4bc4e7511acdf5d0f37313a1343251c8a Mon Sep 17 00:00:00 2001
From: Blackhawke 
Date: Wed, 12 Aug 2020 09:42:16 -0700
Subject: [PATCH 151/244] Re-arranged the introduction to better explain the
 theory of operation and the limitations of Edge. Added paragraphs at the
 bottom of "running edge independently" to better explain Edge's order of
 operations processing and potential differences between historical output and
 live/dry-run operation.

---
 docs/edge.md | 14 ++++++++++----
 1 file changed, 10 insertions(+), 4 deletions(-)

diff --git a/docs/edge.md b/docs/edge.md
index c91e72a3a..ccbae1cb1 100644
--- a/docs/edge.md
+++ b/docs/edge.md
@@ -2,11 +2,13 @@
 
 This page explains how to use Edge Positioning module in your bot in order to enter into a trade only if the trade has a reasonable win rate and risk reward ratio, and consequently adjust your position size and stoploss.
 
-!!! Warning
+  !!! Warning
     Edge positioning is not compatible with dynamic (volume-based) whitelist.
 
-!!! Note
-    Edge does not consider anything else than buy/sell/stoploss signals. So trailing stoploss, ROI, and everything else are ignored in its calculation.
+  !!! Note
+ 1. Edge does not consider anything other than *its own* buy/sell/stoploss signals. It ignores the stoploss, trailing stoploss, and ROI settings in the strategy configuration file.
+
+ 2. Therefore, it is important to understand that Edge can improve the performance of some trading strategies but *decrease* the performance of others.
 
 ## Introduction
 
@@ -89,7 +91,7 @@ You can also use this value to evaluate the effectiveness of modifications to th
 
 ## How does it work?
 
-If enabled in config, Edge will go through historical data with a range of stoplosses in order to find buy and sell/stoploss signals. It then calculates win rate and expectancy over *N* trades for each stoploss. Here is an example:
+Edge combines dynamic stoploss, dynamic positions, and whitelist generation into one isolated module which is then applied to the trading strategy. If enabled in config, Edge will go through historical data with a range of stoplosses in order to find buy and sell/stoploss signals. It then calculates win rate and expectancy over *N* trades for each stoploss. Here is an example:
 
 | Pair   |      Stoploss      |  Win Rate | Risk Reward Ratio | Expectancy |
 |----------|:-------------:|-------------:|------------------:|-----------:|
@@ -186,6 +188,10 @@ An example of its output:
 | APPC/BTC  |      -0.02 |       0.44 |                2.28 |                   1.27 |         0.44 |                       25 |                       43 |
 | NEBL/BTC  |      -0.03 |       0.63 |                1.29 |                   0.58 |         0.44 |                       19 |                       59 |
 
+Edge produced the above table by comparing ``calculate_since_number_of_days`` to ``minimum_expectancy`` to find ``min_trade_number``. Historical information based on the config file. The time frame Edge uses for its comparisons can be further limited by using the ``--timeframe`` switch.
+
+In live and dry-run modes, after the ``process_throttle_secs`` has passed, Edge will again process ``calculate_since_number_of_days`` against ``minimum_expectancy`` to find ``min_trade_number``. If no ``min_trade_number`` is found, the bot will return "whitelist empty". Depending on the trade strategy being deployed, "whitelist empty" may be return much of the time---or *all* of the time. The use of Edge may also cause trading to occur in bursts, though this is rare.
+
 ### Update cached pairs with the latest data
 
 Edge requires historic data the same way as backtesting does.

From 1dabade883f13dcdff990b6069fe9d8a1aab498c Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 13 Aug 2020 08:02:36 +0200
Subject: [PATCH 152/244] small rewording of FAQ documentation

---
 docs/faq.md | 24 +++++++++++++++---------
 1 file changed, 15 insertions(+), 9 deletions(-)

diff --git a/docs/faq.md b/docs/faq.md
index cc43e326d..514b01085 100644
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -19,11 +19,11 @@ This could have the following reasons:
 
 ### I have waited 5 minutes, why hasn't the bot made any trades yet?!
 
-#1 Depending on the buy strategy, the amount of whitelisted coins, the
+* Depending on the buy strategy, the amount of whitelisted coins, the
 situation of the market etc, it can take up to hours to find good entry
 position for a trade. Be patient!
 
-#2 Or it may because you made an human error? Like writing --dry-run when you wanted to trade live?. Maybe an error with the exchange API? Or something else. You will have to do the hard work of finding out the root cause of the problem :) 
+* Or it may because of a configuration error? Best check the logs, it's usually telling you if the bot is simply not getting buy signals (only heartbeat messages), or if there is something wrong (errors / exceptions in the log).
 
 ### I have made 12 trades already, why is my total profit negative?!
 
@@ -135,7 +135,9 @@ to find a great result (unless if you are very lucky), so you probably
 have to run it for 10.000 or more. But it will take an eternity to
 compute.
 
-We recommend you to run between 500-1000 epochs over and over untill you hit at least 10.000 epocs in total. You can best judge by looking at the results - if the bot keep discovering more profitable strategies or not. 
+Since hyperopt uses Bayesian search, running for too many epochs may not produce greater results.
+
+It's therefore recommended to run between 500-1000 epochs over and over until you hit at least 10.000 epocs in total (or are satisfied with the result). You can best judge by looking at the results - if the bot keeps discovering better strategies, it's best to keep on going. 
 
 ```bash
 freqtrade hyperopt -e 1000
@@ -147,11 +149,11 @@ or if you want intermediate result to see
 for i in {1..100}; do freqtrade hyperopt -e 1000; done
 ```
 
-### Why does it take so long time to run hyperopt?
+### Why does it take a long time to run hyperopt?
 
-#1 Discovering a great strategy with Hyperopt takes time. Study www.freqtrade.io, the Freqtrade Github page, join the Freqtrade Discord - or something totally else. While you patiently wait for the most advanced, public known, crypto bot, in the world, to hand you a possible golden strategy specially designed just for you =) 
+* Discovering a great strategy with Hyperopt takes time. Study www.freqtrade.io, the Freqtrade Documentation page, join the Freqtrade [Slack community](https://join.slack.com/t/highfrequencybot/shared_invite/enQtNjU5ODcwNjI1MDU3LTU1MTgxMjkzNmYxNWE1MDEzYzQ3YmU4N2MwZjUyNjJjODRkMDVkNjg4YTAyZGYzYzlhOTZiMTE4ZjQ4YzM0OGE) - or the Freqtrade [discord community](https://discord.gg/X89cVG). While you patiently wait for the most advanced, free crypto bot in the world, to hand you a possible golden strategy specially designed just for you.
 
-#2 If you wonder why it can take from 20 minutes to days to do 1000 epocs here are some answers:
+* If you wonder why it can take from 20 minutes to days to do 1000 epocs here are some answers:
 
 This answer was written during the release 0.15.1, when we had:
 
@@ -163,10 +165,14 @@ The following calculation is still very rough and not very precise
 but it will give the idea. With only these triggers and guards there is
 already 8\*10^9\*10 evaluations. A roughly total of 80 billion evals.
 Did you run 100 000 evals? Congrats, you've done roughly 1 / 100 000 th
-of the search space. If we assume that the bot never test the same strategy more than once.
+of the search space, assuming that the bot never tests the same parameters more than once.
 
-#3 The time it takes to run 1000 hyperopt epocs depends on things like: The cpu, harddisk, ram, motherboard, indicator settings, indicator count, amount of coins that hyperopt test strategies on, trade count - can be 650 trades in a year or 10.0000 trades depending on if the strategy aims for a high profit rarely or a low profit many many many times. Example: 4% profit 650 times vs 0,3% profit a trade 10.000 times in a year. If we assume you set the --timerange to 365 days. 
-Example: freqtrade --config config_mcd_1.json --strategy mcd_1 --hyperopt mcd_hyperopt_1 -e 1000 --timerange 20190601-20200601 
+* The time it takes to run 1000 hyperopt epocs depends on things like: The available cpu, harddisk, ram, timeframe, timerange, indicator settings, indicator count, amount of coins that hyperopt test strategies on and the resulting trade count - which can be 650 trades in a year or 10.0000 trades depending if the strategy aims for big profits by trading rarely or for many low profit trades. 
+
+Example: 4% profit 650 times vs 0,3% profit a trade 10.000 times in a year. If we assume you set the --timerange to 365 days. 
+
+Example: 
+`freqtrade --config config.json --strategy SampleStrategy --hyperopt SampleHyperopt -e 1000 --timerange 20190601-20200601`
 
 ## Edge module
 

From e45e41adb457d90db1b4c281275779f44f9d6157 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 13 Aug 2020 08:05:05 +0200
Subject: [PATCH 153/244] Improve docs test to catch !!! errors

---
 tests/test_docs.sh | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/tests/test_docs.sh b/tests/test_docs.sh
index 09e142b99..8a354daad 100755
--- a/tests/test_docs.sh
+++ b/tests/test_docs.sh
@@ -2,7 +2,8 @@
 # Test Documentation boxes -
 # !!! : is not allowed!
 # !!!  "title" - Title needs to be quoted!
-grep -Er '^!{3}\s\S+:|^!{3}\s\S+\s[^"]' docs/*
+# !!!  Spaces at the beginning are not allowed
+grep -Er '^!{3}\s\S+:|^!{3}\s\S+\s[^"]|^\s+!{3}\s\S+' docs/*
 
 if  [ $? -ne 0 ]; then
     echo "Docs test success."

From 6b85b1a34d65a42a6e24347d9137a6b4f604aef9 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 13 Aug 2020 08:06:57 +0200
Subject: [PATCH 154/244] Don't only recommend pycharm, but keep it open to
 other editors too.

---
 docs/faq.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/faq.md b/docs/faq.md
index 514b01085..48f52a566 100644
--- a/docs/faq.md
+++ b/docs/faq.md
@@ -2,7 +2,7 @@
 
 ## Beginner Tips & Tricks
 
-#1 When you work with your strategy & hyperopt file you should use a real programmer software like Pycharm. If you by accident moved some code and freqtrade says error and you cant find the place where you moved something, or you cant find line 180 where you messed something up. Then a program like Pycharm shows you where line 180 is in your strategy file so you can fix the problem, or Pycharm shows you with some color marking that "here is a line of code that does not belong here" and you found your error in no time! This will save you many hours of problemsolving when working with the bot. Pycharm also got a usefull "Debug" feature that can tell you exactly what command on that line is making the error :) 
+* When you work with your strategy & hyperopt file you should use a proper code editor like vscode or Pycharm. A good code editor will provide syntax highlighting as well as line numbers, making it easy to find syntax errors (most likely, pointed out by Freqtrade during startup).
 
 ## Freqtrade common issues
 

From 4109b31dac08b607603590c798b41fad745f6bdf Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 06:46:34 +0200
Subject: [PATCH 155/244] Update wording in documentation

---
 docs/developer.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/developer.md b/docs/developer.md
index ce454cec2..f09ae2c76 100644
--- a/docs/developer.md
+++ b/docs/developer.md
@@ -88,7 +88,7 @@ docker-compose exec freqtrade_develop /bin/bash
 ## ErrorHandling
 
 Freqtrade Exceptions all inherit from `FreqtradeException`.
-This general class of error should however not be used directly, instead, multiple specialized sub-Exceptions exist.
+This general class of error should however not be used directly. Instead, multiple specialized sub-Exceptions exist.
 
 Below is an outline of exception inheritance hierarchy:
 

From d76ee432461a438126439b01e69d00eea3a045fc Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 07:12:57 +0200
Subject: [PATCH 156/244] Show wins / draws / losses in hyperopt table

---
 freqtrade/optimize/hyperopt.py  | 17 +++++++++++++----
 tests/optimize/test_hyperopt.py |  1 +
 2 files changed, 14 insertions(+), 4 deletions(-)

diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index 522b217f7..fbd523904 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -312,11 +312,16 @@ class Hyperopt:
 
         trials = json_normalize(results, max_level=1)
         trials['Best'] = ''
+        if 'results_metrics.winsdrawslosses' not in trials.columns:
+            # Ensure compatibility with older versions of hyperopt results
+            trials['results_metrics.winsdrawslosses'] = 'N/A'
+
         trials = trials[['Best', 'current_epoch', 'results_metrics.trade_count',
+                         'results_metrics.winsdrawslosses',
                          'results_metrics.avg_profit', 'results_metrics.total_profit',
                          'results_metrics.profit', 'results_metrics.duration',
                          'loss', 'is_initial_point', 'is_best']]
-        trials.columns = ['Best', 'Epoch', 'Trades', 'Avg profit', 'Total profit',
+        trials.columns = ['Best', 'Epoch', 'Trades', 'W/D/L', 'Avg profit', 'Total profit',
                           'Profit', 'Avg duration', 'Objective', 'is_initial_point', 'is_best']
         trials['is_profit'] = False
         trials.loc[trials['is_initial_point'], 'Best'] = '*     '
@@ -558,11 +563,15 @@ class Hyperopt:
         }
 
     def _calculate_results_metrics(self, backtesting_results: DataFrame) -> Dict:
+        wins = len(backtesting_results[backtesting_results.profit_percent > 0])
+        draws = len(backtesting_results[backtesting_results.profit_percent == 0])
+        losses = len(backtesting_results[backtesting_results.profit_percent < 0])
         return {
             'trade_count': len(backtesting_results.index),
-            'wins': len(backtesting_results[backtesting_results.profit_percent > 0]),
-            'draws': len(backtesting_results[backtesting_results.profit_percent == 0]),
-            'losses': len(backtesting_results[backtesting_results.profit_percent < 0]),
+            'wins': wins,
+            'draws': draws,
+            'losses': losses,
+            'winsdrawslosses': f"{wins}/{draws}/{losses}",
             'avg_profit': backtesting_results.profit_percent.mean() * 100.0,
             'median_profit': backtesting_results.profit_percent.median() * 100.0,
             'total_profit': backtesting_results.profit_abs.sum(),
diff --git a/tests/optimize/test_hyperopt.py b/tests/optimize/test_hyperopt.py
index 4b178ca11..bd86e315f 100644
--- a/tests/optimize/test_hyperopt.py
+++ b/tests/optimize/test_hyperopt.py
@@ -781,6 +781,7 @@ def test_generate_optimizer(mocker, default_conf) -> None:
                             'draws': 0,
                             'duration': 100.0,
                             'losses': 0,
+                            'winsdrawslosses': '1/0/0',
                             'median_profit': 2.3117,
                             'profit': 2.3117,
                             'total_profit': 0.000233,

From b98107375edc44ff6d90bfb67c038d839a5f0d47 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 07:31:14 +0200
Subject: [PATCH 157/244] Improve formatting of result string to be a bit
 conciser

---
 freqtrade/optimize/hyperopt.py  | 5 ++---
 tests/optimize/test_hyperopt.py | 2 +-
 2 files changed, 3 insertions(+), 4 deletions(-)

diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index fbd523904..6d11e543b 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -585,9 +585,8 @@ class Hyperopt:
         """
         stake_cur = self.config['stake_currency']
         return (f"{results_metrics['trade_count']:6d} trades. "
-                f"{results_metrics['wins']:6d} wins. "
-                f"{results_metrics['draws']:6d} draws. "
-                f"{results_metrics['losses']:6d} losses. "
+                f"{results_metrics['wins']}/{results_metrics['draws']}"
+                f"/{results_metrics['losses']} Wins/Draws/Losses. "
                 f"Avg profit {results_metrics['avg_profit']: 6.2f}%. "
                 f"Median profit {results_metrics['median_profit']: 6.2f}%. "
                 f"Total profit {results_metrics['total_profit']: 11.8f} {stake_cur} "
diff --git a/tests/optimize/test_hyperopt.py b/tests/optimize/test_hyperopt.py
index bd86e315f..a6541f55b 100644
--- a/tests/optimize/test_hyperopt.py
+++ b/tests/optimize/test_hyperopt.py
@@ -744,7 +744,7 @@ def test_generate_optimizer(mocker, default_conf) -> None:
     }
     response_expected = {
         'loss': 1.9840569076926293,
-        'results_explanation': ('     1 trades.      1 wins.      0 draws.      0 losses. '
+        'results_explanation': ('     1 trades. 1/0/0 Wins/Draws/Losses. '
                                 'Avg profit   2.31%. Median profit   2.31%. Total profit  '
                                 '0.00023300 BTC (   2.31\N{GREEK CAPITAL LETTER SIGMA}%). '
                                 'Avg duration 100.0 min.'

From 48944fd4cb441604703a338336a2786bcbca7a04 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 14:41:46 +0200
Subject: [PATCH 158/244] Logging with queueHandler

---
 freqtrade/loggers.py | 38 +++++++++++++++++++++++++++++---------
 freqtrade/main.py    | 13 +++++++------
 2 files changed, 36 insertions(+), 15 deletions(-)

diff --git a/freqtrade/loggers.py b/freqtrade/loggers.py
index aa08ee8a7..eed480164 100644
--- a/freqtrade/loggers.py
+++ b/freqtrade/loggers.py
@@ -1,14 +1,15 @@
 import logging
+import queue
 import sys
-
 from logging import Formatter
-from logging.handlers import RotatingFileHandler, SysLogHandler
+from logging.handlers import RotatingFileHandler, SysLogHandler, QueueHandler, QueueListener
 from typing import Any, Dict, List
 
 from freqtrade.exceptions import OperationalException
 
-
 logger = logging.getLogger(__name__)
+log_queue = queue.Queue(-1)
+LOGFORMAT = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
 
 
 def _set_loggers(verbosity: int = 0, api_verbosity: str = 'info') -> None:
@@ -33,6 +34,25 @@ def _set_loggers(verbosity: int = 0, api_verbosity: str = 'info') -> None:
     )
 
 
+def setup_logging_pre() -> None:
+    """
+    Setup early logging.
+    This uses a queuehandler, which delays logging.
+    # TODO: How does QueueHandler work if no listenerhandler is attached??
+    """
+    logging.root.setLevel(logging.INFO)
+    fmt = logging.Formatter(LOGFORMAT)
+
+    queue_handler = QueueHandler(log_queue)
+    queue_handler.setFormatter(fmt)
+    logger.root.addHandler(queue_handler)
+
+    # Add streamhandler here to capture Errors before QueueListener is started
+    sth = logging.StreamHandler(sys.stderr)
+    sth.setFormatter(fmt)
+    logger.root.addHandler(sth)
+
+
 def setup_logging(config: Dict[str, Any]) -> None:
     """
     Process -v/--verbose, --logfile options
@@ -41,7 +61,7 @@ def setup_logging(config: Dict[str, Any]) -> None:
     verbosity = config['verbosity']
 
     # Log to stderr
-    log_handlers: List[logging.Handler] = [logging.StreamHandler(sys.stderr)]
+    log_handlers: List[logging.Handler] = []
 
     logfile = config.get('logfile')
     if logfile:
@@ -76,10 +96,10 @@ def setup_logging(config: Dict[str, Any]) -> None:
                                                     maxBytes=1024 * 1024,  # 1Mb
                                                     backupCount=10))
 
-    logging.basicConfig(
-        level=logging.INFO if verbosity < 1 else logging.DEBUG,
-        format='%(asctime)s - %(name)s - %(levelname)s - %(message)s',
-        handlers=log_handlers
-    )
+    listener = QueueListener(log_queue, *log_handlers)
+
+    # logging.root.setFormatter(logging.Formatter(LOGFORMAT))
+    logging.root.setLevel(logging.INFO if verbosity < 1 else logging.DEBUG)
+    listener.start()
     _set_loggers(verbosity, config.get('api_server', {}).get('verbosity', 'info'))
     logger.info('Verbosity set to %s', verbosity)
diff --git a/freqtrade/main.py b/freqtrade/main.py
index 08bdc5e32..eeb975953 100755
--- a/freqtrade/main.py
+++ b/freqtrade/main.py
@@ -3,18 +3,18 @@
 Main Freqtrade bot script.
 Read the documentation to know what cli arguments you need.
 """
-
-from freqtrade.exceptions import FreqtradeException, OperationalException
+# flake8: noqa E402
+import logging
 import sys
+from typing import Any, List
+
 # check min. python version
 if sys.version_info < (3, 6):
     sys.exit("Freqtrade requires Python version >= 3.6")
 
-# flake8: noqa E402
-import logging
-from typing import Any, List
-
 from freqtrade.commands import Arguments
+from freqtrade.exceptions import FreqtradeException, OperationalException
+from freqtrade.loggers import setup_logging_pre
 
 
 logger = logging.getLogger('freqtrade')
@@ -28,6 +28,7 @@ def main(sysargv: List[str] = None) -> None:
 
     return_code: Any = 1
     try:
+        setup_logging_pre()
         arguments = Arguments(sysargv)
         args = arguments.get_parsed_arg()
 

From b989ba0f82c610b06ca8dbb2db4033a8e9b567a6 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 14:53:21 +0200
Subject: [PATCH 159/244] Simplify setup of handlers

---
 freqtrade/loggers.py | 40 ++++++++++++++--------------------------
 1 file changed, 14 insertions(+), 26 deletions(-)

diff --git a/freqtrade/loggers.py b/freqtrade/loggers.py
index eed480164..f5f383da7 100644
--- a/freqtrade/loggers.py
+++ b/freqtrade/loggers.py
@@ -1,9 +1,8 @@
 import logging
 import queue
-import sys
 from logging import Formatter
-from logging.handlers import RotatingFileHandler, SysLogHandler, QueueHandler, QueueListener
-from typing import Any, Dict, List
+from logging.handlers import RotatingFileHandler, SysLogHandler
+from typing import Any, Dict
 
 from freqtrade.exceptions import OperationalException
 
@@ -40,17 +39,10 @@ def setup_logging_pre() -> None:
     This uses a queuehandler, which delays logging.
     # TODO: How does QueueHandler work if no listenerhandler is attached??
     """
-    logging.root.setLevel(logging.INFO)
-    fmt = logging.Formatter(LOGFORMAT)
-
-    queue_handler = QueueHandler(log_queue)
-    queue_handler.setFormatter(fmt)
-    logger.root.addHandler(queue_handler)
-
-    # Add streamhandler here to capture Errors before QueueListener is started
-    sth = logging.StreamHandler(sys.stderr)
-    sth.setFormatter(fmt)
-    logger.root.addHandler(sth)
+    logging.basicConfig(
+        level=logging.INFO,
+        format=LOGFORMAT,
+    )
 
 
 def setup_logging(config: Dict[str, Any]) -> None:
@@ -60,9 +52,6 @@ def setup_logging(config: Dict[str, Any]) -> None:
     # Log level
     verbosity = config['verbosity']
 
-    # Log to stderr
-    log_handlers: List[logging.Handler] = []
-
     logfile = config.get('logfile')
     if logfile:
         s = logfile.split(':')
@@ -78,7 +67,7 @@ def setup_logging(config: Dict[str, Any]) -> None:
             # to perform reduction of repeating messages if this is set in the
             # syslog config. The messages should be equal for this.
             handler.setFormatter(Formatter('%(name)s - %(levelname)s - %(message)s'))
-            log_handlers.append(handler)
+            logging.root.addHandler(handler)
         elif s[0] == 'journald':
             try:
                 from systemd.journal import JournaldLogHandler
@@ -90,16 +79,15 @@ def setup_logging(config: Dict[str, Any]) -> None:
             # to perform reduction of repeating messages if this is set in the
             # syslog config. The messages should be equal for this.
             handler.setFormatter(Formatter('%(name)s - %(levelname)s - %(message)s'))
-            log_handlers.append(handler)
+            logging.root.addHandler(handler)
         else:
-            log_handlers.append(RotatingFileHandler(logfile,
-                                                    maxBytes=1024 * 1024,  # 1Mb
-                                                    backupCount=10))
+            handler = RotatingFileHandler(logfile,
+                                          maxBytes=1024 * 1024,  # 1Mb
+                                          backupCount=10)
+            handler.setFormatter(Formatter(LOGFORMAT))
+            logging.root.addHandler(handler)
 
-    listener = QueueListener(log_queue, *log_handlers)
-
-    # logging.root.setFormatter(logging.Formatter(LOGFORMAT))
     logging.root.setLevel(logging.INFO if verbosity < 1 else logging.DEBUG)
-    listener.start()
     _set_loggers(verbosity, config.get('api_server', {}).get('verbosity', 'info'))
+
     logger.info('Verbosity set to %s', verbosity)

From 5f79caa307bcb24e88bd14bba7c691b1ddc238b4 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 15:44:36 +0200
Subject: [PATCH 160/244] Implement /logs endpoints in telegram and restAPI

---
 freqtrade/loggers.py           |  7 ++++++-
 freqtrade/rpc/api_server.py    | 13 +++++++++++++
 freqtrade/rpc/rpc.py           | 22 ++++++++++++++++++++--
 freqtrade/rpc/telegram.py      | 30 ++++++++++++++++++++++++++++++
 tests/rpc/test_rpc_telegram.py |  2 +-
 5 files changed, 70 insertions(+), 4 deletions(-)

diff --git a/freqtrade/loggers.py b/freqtrade/loggers.py
index f5f383da7..0b1337b2c 100644
--- a/freqtrade/loggers.py
+++ b/freqtrade/loggers.py
@@ -1,7 +1,7 @@
 import logging
 import queue
 from logging import Formatter
-from logging.handlers import RotatingFileHandler, SysLogHandler
+from logging.handlers import RotatingFileHandler, SysLogHandler, BufferingHandler
 from typing import Any, Dict
 
 from freqtrade.exceptions import OperationalException
@@ -10,6 +10,10 @@ logger = logging.getLogger(__name__)
 log_queue = queue.Queue(-1)
 LOGFORMAT = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
 
+# Initialize bufferhandler - will be used for /log endpoints
+bufferHandler = BufferingHandler(1000)
+bufferHandler.setFormatter(Formatter(LOGFORMAT))
+
 
 def _set_loggers(verbosity: int = 0, api_verbosity: str = 'info') -> None:
     """
@@ -51,6 +55,7 @@ def setup_logging(config: Dict[str, Any]) -> None:
     """
     # Log level
     verbosity = config['verbosity']
+    logging.root.addHandler(bufferHandler)
 
     logfile = config.get('logfile')
     if logfile:
diff --git a/freqtrade/rpc/api_server.py b/freqtrade/rpc/api_server.py
index 06926ac35..cb2236878 100644
--- a/freqtrade/rpc/api_server.py
+++ b/freqtrade/rpc/api_server.py
@@ -186,6 +186,7 @@ class ApiServer(RPC):
         self.app.add_url_rule(f'{BASE_URI}/count', 'count', view_func=self._count, methods=['GET'])
         self.app.add_url_rule(f'{BASE_URI}/daily', 'daily', view_func=self._daily, methods=['GET'])
         self.app.add_url_rule(f'{BASE_URI}/edge', 'edge', view_func=self._edge, methods=['GET'])
+        self.app.add_url_rule(f'{BASE_URI}/logs', 'log', view_func=self._get_logs, methods=['GET'])
         self.app.add_url_rule(f'{BASE_URI}/profit', 'profit',
                               view_func=self._profit, methods=['GET'])
         self.app.add_url_rule(f'{BASE_URI}/performance', 'performance',
@@ -348,6 +349,18 @@ class ApiServer(RPC):
 
         return self.rest_dump(stats)
 
+    @require_login
+    @rpc_catch_errors
+    def _get_logs(self):
+        """
+        Returns latest logs
+         get:
+          param:
+            limit: Only get a certain number of records
+        """
+        limit = int(request.args.get('limit', 0)) or None
+        return self.rest_dump(self._rpc_get_logs(limit))
+
     @require_login
     @rpc_catch_errors
     def _edge(self):
diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index f4e20c16f..5da428a9c 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -11,9 +11,9 @@ from typing import Any, Dict, List, Optional, Tuple, Union
 import arrow
 from numpy import NAN, mean
 
-from freqtrade.exceptions import (ExchangeError,
-                                  PricingError)
+from freqtrade.exceptions import ExchangeError, PricingError
 from freqtrade.exchange import timeframe_to_minutes, timeframe_to_msecs
+from freqtrade.loggers import bufferHandler
 from freqtrade.misc import shorten_date
 from freqtrade.persistence import Trade
 from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
@@ -633,6 +633,24 @@ class RPC:
                }
         return res
 
+    def _rpc_get_logs(self, limit: Optional[int]) -> Dict[str, List]:
+        """Returns the last X logs"""
+        if limit:
+            buffer = bufferHandler.buffer[-limit:]
+        else:
+            buffer = bufferHandler.buffer
+        records = [[r.asctime, r.created, r.name, r.levelname, r.message] for r in buffer]
+
+        return {'log_count': len(records), 'logs': records}
+
+    def _rpc_get_logs_as_string(self, limit: Optional[int]) -> Dict[str, List]:
+        """Returns the last X logs"""
+        if limit:
+            buffer = bufferHandler.buffer[-limit:]
+        else:
+            buffer = bufferHandler.buffer
+        return [bufferHandler.format(r) for r in buffer]
+
     def _rpc_edge(self) -> List[Dict[str, Any]]:
         """ Returns information related to Edge """
         if not self._freqtrade.edge:
diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py
index f1d3cde21..da93604d1 100644
--- a/freqtrade/rpc/telegram.py
+++ b/freqtrade/rpc/telegram.py
@@ -103,6 +103,7 @@ class Telegram(RPC):
             CommandHandler('stopbuy', self._stopbuy),
             CommandHandler('whitelist', self._whitelist),
             CommandHandler('blacklist', self._blacklist),
+            CommandHandler('logs', self._logs),
             CommandHandler('edge', self._edge),
             CommandHandler('help', self._help),
             CommandHandler('version', self._version),
@@ -637,6 +638,34 @@ class Telegram(RPC):
         except RPCException as e:
             self._send_msg(str(e))
 
+    @authorized_only
+    def _logs(self, update: Update, context: CallbackContext) -> None:
+        """
+        Handler for /logs
+        Shows the latest logs
+        """
+        try:
+            try:
+                limit = int(context.args[0])
+            except (TypeError, ValueError, IndexError):
+                limit = 10
+            logs = self._rpc_get_logs_as_string(limit)
+            msg = ''
+            message_container = "
{}
"
+            for logrec in logs:
+                if len(msg + logrec) + 10 >= MAX_TELEGRAM_MESSAGE_LENGTH:
+                    # Send message immediately if it would become too long
+                    self._send_msg(message_container.format(msg), parse_mode=ParseMode.HTML)
+                    msg = logrec + '\n'
+                else:
+                    # Append message to messages to send
+                    msg += logrec + '\n'
+
+            if msg:
+                self._send_msg(message_container.format(msg), parse_mode=ParseMode.HTML)
+        except RPCException as e:
+            self._send_msg(str(e))
+
     @authorized_only
     def _edge(self, update: Update, context: CallbackContext) -> None:
         """
@@ -682,6 +711,7 @@ class Telegram(RPC):
                    "*/stopbuy:* `Stops buying, but handles open trades gracefully` \n"
                    "*/reload_config:* `Reload configuration file` \n"
                    "*/show_config:* `Show running configuration` \n"
+                   "*/logs [limit]:* `Show latest logs - defaults to 10` \n"
                    "*/whitelist:* `Show current whitelist` \n"
                    "*/blacklist [pair]:* `Show current blacklist, or adds one or more pairs "
                    "to the blacklist.` \n"
diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py
index bfa774856..8651b0613 100644
--- a/tests/rpc/test_rpc_telegram.py
+++ b/tests/rpc/test_rpc_telegram.py
@@ -76,7 +76,7 @@ def test_telegram_init(default_conf, mocker, caplog) -> None:
                    "['balance'], ['start'], ['stop'], ['forcesell'], ['forcebuy'], ['trades'], "
                    "['delete'], ['performance'], ['daily'], ['count'], ['reload_config', "
                    "'reload_conf'], ['show_config', 'show_conf'], ['stopbuy'], "
-                   "['whitelist'], ['blacklist'], ['edge'], ['help'], ['version']]")
+                   "['whitelist'], ['blacklist'], ['logs'], ['edge'], ['help'], ['version']]")
 
     assert log_has(message_str, caplog)
 

From 904c4ecc23f14dd3f549ae9d98e773616206ed61 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 15:44:52 +0200
Subject: [PATCH 161/244] Document /logs endpoints

---
 docs/rest-api.md       | 74 +++++++++++++++++++++++-------------------
 docs/telegram-usage.md |  1 +
 scripts/rest_client.py |  8 +++++
 3 files changed, 49 insertions(+), 34 deletions(-)

diff --git a/docs/rest-api.md b/docs/rest-api.md
index 68754f79a..075bd7e64 100644
--- a/docs/rest-api.md
+++ b/docs/rest-api.md
@@ -116,6 +116,7 @@ python3 scripts/rest_client.py --config rest_config.json  [optional par
 | `trades` | List last trades.
 | `delete_trade ` | Remove trade from the database. Tries to close open orders. Requires manual handling of this trade on the exchange.
 | `show_config` | Shows part of the current configuration with relevant settings to operation
+| `logs` | Shows last log messages
 | `status` | Lists all open trades
 | `count` | Displays number of trades used and available
 | `profit` | Display a summary of your profit/loss from close trades and some stats about your performance
@@ -138,78 +139,83 @@ python3 scripts/rest_client.py help
 
 ``` output
 Possible commands:
+
 balance
-        Get the account balance
-        :returns: json object
+	Get the account balance.
 
 blacklist
-        Show the current blacklist
+	Show the current blacklist.
+
         :param add: List of coins to add (example: "BNB/BTC")
-        :returns: json object
 
 count
-        Returns the amount of open trades
-        :returns: json object
+	Return the amount of open trades.
 
 daily
-        Returns the amount of open trades
-        :returns: json object
+	Return the amount of open trades.
+
+delete_trade
+	Delete trade from the database.
+        Tries to close open orders. Requires manual handling of this asset on the exchange.
+
+        :param trade_id: Deletes the trade with this ID from the database.
 
 edge
-        Returns information about edge
-        :returns: json object
+	Return information about edge.
 
 forcebuy
-        Buy an asset
+	Buy an asset.
+
         :param pair: Pair to buy (ETH/BTC)
         :param price: Optional - price to buy
-        :returns: json object of the trade
 
 forcesell
-        Force-sell a trade
+	Force-sell a trade.
+
         :param tradeid: Id of the trade (can be received via status command)
-        :returns: json object
+
+logs
+	Show latest logs.
+
+        :param limit: Limits log messages to the last  logs. No limit to get all the trades.
 
 performance
-        Returns the performance of the different coins
-        :returns: json object
+	Return the performance of the different coins.
 
 profit
-        Returns the profit summary
-        :returns: json object
+	Return the profit summary.
 
 reload_config
-        Reload configuration
-        :returns: json object
+	Reload configuration.
 
 show_config
+	
         Returns part of the configuration, relevant for trading operations.
-        :return: json object containing the version
 
 start
-        Start the bot if it's in stopped state.
-        :returns: json object
+	Start the bot if it's in the stopped state.
 
 status
-        Get the status of open trades
-        :returns: json object
+	Get the status of open trades.
 
 stop
-        Stop the bot. Use start to restart
-        :returns: json object
+	Stop the bot. Use `start` to restart.
 
 stopbuy
-        Stop buying (but handle sells gracefully).
-        use reload_config to reset
-        :returns: json object
+	Stop buying (but handle sells gracefully). Use `reload_config` to reset.
+
+trades
+	Return trades history.
+
+        :param limit: Limits trades to the X last trades. No limit to get all the trades.
 
 version
-        Returns the version of the bot
-        :returns: json object containing the version
+	Return the version of the bot.
 
 whitelist
-        Show the current whitelist
-        :returns: json object
+	Show the current whitelist.
+
+
 ```
 
 ## Advanced API usage using JWT tokens
diff --git a/docs/telegram-usage.md b/docs/telegram-usage.md
index 9776b26ba..5f804386d 100644
--- a/docs/telegram-usage.md
+++ b/docs/telegram-usage.md
@@ -54,6 +54,7 @@ official commands. You can ask at any moment for help with `/help`.
 | `/stopbuy` | Stops the trader from opening new trades. Gracefully closes open trades according to their rules.
 | `/reload_config` | Reloads the configuration file
 | `/show_config` | Shows part of the current configuration with relevant settings to operation
+| `/logs [limit]` | Show last log messages.
 | `/status` | Lists all open trades
 | `/status table` | List all open trades in a table format. Pending buy orders are marked with an asterisk (*) Pending sell orders are marked with a double asterisk (**)
 | `/trades [limit]` | List all recently closed trades in a table format.
diff --git a/scripts/rest_client.py b/scripts/rest_client.py
index 51ea596f6..b100999a3 100755
--- a/scripts/rest_client.py
+++ b/scripts/rest_client.py
@@ -159,6 +159,14 @@ class FtRestClient():
         """
         return self._get("show_config")
 
+    def logs(self, limit=None):
+        """Show latest logs.
+
+        :param limit: Limits log messages to the last  logs. No limit to get all the trades.
+        :return: json object
+        """
+        return self._get("logs", params={"limit": limit} if limit else 0)
+
     def trades(self, limit=None):
         """Return trades history.
 

From 47b215fe0aa23f6222b0b1e107e017d3009cf4e8 Mon Sep 17 00:00:00 2001
From: Blackhawke 
Date: Fri, 14 Aug 2020 09:25:53 -0700
Subject: [PATCH 162/244] Update docs/edge.md

Co-authored-by: Matthias 
---
 docs/edge.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/docs/edge.md b/docs/edge.md
index ccbae1cb1..1695732af 100644
--- a/docs/edge.md
+++ b/docs/edge.md
@@ -190,7 +190,9 @@ An example of its output:
 
 Edge produced the above table by comparing ``calculate_since_number_of_days`` to ``minimum_expectancy`` to find ``min_trade_number``. Historical information based on the config file. The time frame Edge uses for its comparisons can be further limited by using the ``--timeframe`` switch.
 
-In live and dry-run modes, after the ``process_throttle_secs`` has passed, Edge will again process ``calculate_since_number_of_days`` against ``minimum_expectancy`` to find ``min_trade_number``. If no ``min_trade_number`` is found, the bot will return "whitelist empty". Depending on the trade strategy being deployed, "whitelist empty" may be return much of the time---or *all* of the time. The use of Edge may also cause trading to occur in bursts, though this is rare.
+In live and dry-run modes, after the `process_throttle_secs` has passed, Edge will again process `calculate_since_number_of_days` against `minimum_expectancy` to find `min_trade_number`. If no `min_trade_number` is found, the bot will return "whitelist empty". Depending on the trade strategy being deployed, "whitelist empty" may be return much of the time - or *all* of the time. The use of Edge may also cause trading to occur in bursts, though this is rare.
+
+If you encounter "whitelist empty" a lot, condsider tuning `calculate_since_number_of_days`, `minimum_expectancy`  and `min_trade_number` to align to the trading frequency of your strategy.
 
 ### Update cached pairs with the latest data
 

From a14ce9d7d9df45bf5ba9ce8e02c559ae8477c064 Mon Sep 17 00:00:00 2001
From: Blackhawke 
Date: Fri, 14 Aug 2020 09:26:28 -0700
Subject: [PATCH 163/244] Update docs/edge.md

Co-authored-by: Matthias 
---
 docs/edge.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/edge.md b/docs/edge.md
index 1695732af..dad23bfd6 100644
--- a/docs/edge.md
+++ b/docs/edge.md
@@ -188,7 +188,7 @@ An example of its output:
 | APPC/BTC  |      -0.02 |       0.44 |                2.28 |                   1.27 |         0.44 |                       25 |                       43 |
 | NEBL/BTC  |      -0.03 |       0.63 |                1.29 |                   0.58 |         0.44 |                       19 |                       59 |
 
-Edge produced the above table by comparing ``calculate_since_number_of_days`` to ``minimum_expectancy`` to find ``min_trade_number``. Historical information based on the config file. The time frame Edge uses for its comparisons can be further limited by using the ``--timeframe`` switch.
+Edge produced the above table by comparing `calculate_since_number_of_days` to `minimum_expectancy` to find `min_trade_number` historical information based on the config file. The timerange Edge uses for its comparisons can be further limited by using the `--timerange` switch.
 
 In live and dry-run modes, after the `process_throttle_secs` has passed, Edge will again process `calculate_since_number_of_days` against `minimum_expectancy` to find `min_trade_number`. If no `min_trade_number` is found, the bot will return "whitelist empty". Depending on the trade strategy being deployed, "whitelist empty" may be return much of the time - or *all* of the time. The use of Edge may also cause trading to occur in bursts, though this is rare.
 

From f3cedc849aa223407890d4c216cfec17cdfda02d Mon Sep 17 00:00:00 2001
From: Blackhawke 
Date: Fri, 14 Aug 2020 09:27:04 -0700
Subject: [PATCH 164/244] Update docs/edge.md

Co-authored-by: Matthias 
---
 docs/edge.md | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/docs/edge.md b/docs/edge.md
index dad23bfd6..2bc43a4e8 100644
--- a/docs/edge.md
+++ b/docs/edge.md
@@ -5,10 +5,9 @@ This page explains how to use Edge Positioning module in your bot in order to en
   !!! Warning
     Edge positioning is not compatible with dynamic (volume-based) whitelist.
 
-  !!! Note
- 1. Edge does not consider anything other than *its own* buy/sell/stoploss signals. It ignores the stoploss, trailing stoploss, and ROI settings in the strategy configuration file.
-
- 2. Therefore, it is important to understand that Edge can improve the performance of some trading strategies but *decrease* the performance of others.
+!!! Note
+    Edge does not consider anything other than *its own* buy/sell/stoploss signals. It ignores the stoploss, trailing stoploss, and ROI settings in the strategy configuration file.
+    Therefore, it is important to understand that Edge can improve the performance of some trading strategies but *decrease* the performance of others.
 
 ## Introduction
 

From 5d691b5ee3872129c3cd6a7bdfd70836e79e72fd Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 19:34:22 +0200
Subject: [PATCH 165/244] Fix warning box typo

---
 docs/edge.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/edge.md b/docs/edge.md
index 2bc43a4e8..dcb559f96 100644
--- a/docs/edge.md
+++ b/docs/edge.md
@@ -2,7 +2,7 @@
 
 This page explains how to use Edge Positioning module in your bot in order to enter into a trade only if the trade has a reasonable win rate and risk reward ratio, and consequently adjust your position size and stoploss.
 
-  !!! Warning
+!!! Warning
     Edge positioning is not compatible with dynamic (volume-based) whitelist.
 
 !!! Note

From 9ad8e74247ed1fb1bb50b39309e22528567e372f Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 19:36:12 +0200
Subject: [PATCH 166/244] Add tests for log-endpoints

---
 freqtrade/main.py               |  1 -
 freqtrade/rpc/rpc.py            |  5 +++--
 tests/rpc/test_rpc_apiserver.py | 27 ++++++++++++++++++++++++++-
 tests/rpc/test_rpc_telegram.py  | 21 +++++++++++++++++++++
 4 files changed, 50 insertions(+), 4 deletions(-)

diff --git a/freqtrade/main.py b/freqtrade/main.py
index eeb975953..dc26c2a46 100755
--- a/freqtrade/main.py
+++ b/freqtrade/main.py
@@ -3,7 +3,6 @@
 Main Freqtrade bot script.
 Read the documentation to know what cli arguments you need.
 """
-# flake8: noqa E402
 import logging
 import sys
 from typing import Any, List
diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index 5da428a9c..dd35b9613 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -639,12 +639,13 @@ class RPC:
             buffer = bufferHandler.buffer[-limit:]
         else:
             buffer = bufferHandler.buffer
-        records = [[r.asctime, r.created, r.name, r.levelname, r.message] for r in buffer]
+        records = [[datetime.fromtimestamp(r.created), r.created, r.name, r.levelname, r.message]
+                   for r in buffer]
 
         return {'log_count': len(records), 'logs': records}
 
     def _rpc_get_logs_as_string(self, limit: Optional[int]) -> Dict[str, List]:
-        """Returns the last X logs"""
+        """Returns the last X logs as formatted string (Using the default log format)"""
         if limit:
             buffer = bufferHandler.buffer[-limit:]
         else:
diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py
index 408f7e537..2fb1e3ec1 100644
--- a/tests/rpc/test_rpc_apiserver.py
+++ b/tests/rpc/test_rpc_apiserver.py
@@ -10,10 +10,12 @@ from flask import Flask
 from requests.auth import _basic_auth_str
 
 from freqtrade.__init__ import __version__
+from freqtrade.loggers import setup_logging, setup_logging_pre
 from freqtrade.persistence import Trade
 from freqtrade.rpc.api_server import BASE_URI, ApiServer
 from freqtrade.state import State
-from tests.conftest import get_patched_freqtradebot, log_has, patch_get_signal, create_mock_trades
+from tests.conftest import (create_mock_trades, get_patched_freqtradebot,
+                            log_has, patch_get_signal)
 
 _TEST_USER = "FreqTrader"
 _TEST_PASS = "SuperSecurePassword1!"
@@ -21,6 +23,9 @@ _TEST_PASS = "SuperSecurePassword1!"
 
 @pytest.fixture
 def botclient(default_conf, mocker):
+    setup_logging_pre()
+    setup_logging(default_conf)
+
     default_conf.update({"api_server": {"enabled": True,
                                         "listen_ip_address": "127.0.0.1",
                                         "listen_port": 8080,
@@ -423,6 +428,26 @@ def test_api_delete_trade(botclient, mocker, fee, markets):
     assert stoploss_mock.call_count == 1
 
 
+def test_api_logs(botclient):
+    ftbot, client = botclient
+    rc = client_get(client, f"{BASE_URI}/logs")
+    assert_response(rc)
+    assert len(rc.json) == 2
+    assert 'logs' in rc.json
+    # Using a fixed comparison here would make this test fail!
+    assert rc.json['log_count'] > 10
+    assert len(rc.json['logs']) == rc.json['log_count']
+
+    assert isinstance(rc.json['logs'][0], list)
+    # date
+    assert isinstance(rc.json['logs'][0][0], str)
+    # created_timestamp
+    assert isinstance(rc.json['logs'][0][1], float)
+    assert isinstance(rc.json['logs'][0][2], str)
+    assert isinstance(rc.json['logs'][0][3], str)
+    assert isinstance(rc.json['logs'][0][4], str)
+
+
 def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
     ftbot, client = botclient
     patch_get_signal(ftbot, (True, False))
diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py
index 8651b0613..1144d8279 100644
--- a/tests/rpc/test_rpc_telegram.py
+++ b/tests/rpc/test_rpc_telegram.py
@@ -16,6 +16,7 @@ from telegram.error import NetworkError
 from freqtrade import __version__
 from freqtrade.edge import PairInfo
 from freqtrade.freqtradebot import FreqtradeBot
+from freqtrade.loggers import setup_logging
 from freqtrade.persistence import Trade
 from freqtrade.rpc import RPCMessageType
 from freqtrade.rpc.telegram import Telegram, authorized_only
@@ -1107,6 +1108,26 @@ def test_blacklist_static(default_conf, update, mocker) -> None:
     assert freqtradebot.pairlists.blacklist == ["DOGE/BTC", "HOT/BTC", "ETH/BTC"]
 
 
+def test_telegram_logs(default_conf, update, mocker) -> None:
+    msg_mock = MagicMock()
+    mocker.patch.multiple(
+        'freqtrade.rpc.telegram.Telegram',
+        _init=MagicMock(),
+        _send_msg=msg_mock
+    )
+    setup_logging(default_conf)
+
+    freqtradebot = get_patched_freqtradebot(mocker, default_conf)
+
+    telegram = Telegram(freqtradebot)
+    context = MagicMock()
+    context.args = []
+    telegram._logs(update=update, context=context)
+    assert msg_mock.call_count == 1
+    assert "freqtrade.rpc.telegram" in msg_mock.call_args_list[0][0][0]
+    assert "freqtrade.resolvers.iresolver" in msg_mock.call_args_list[0][0][0]
+
+
 def test_edge_disabled(default_conf, update, mocker) -> None:
     msg_mock = MagicMock()
     mocker.patch.multiple(

From 122c0e8ddc1771c977b4e42e0785621ea73080d4 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 19:50:56 +0200
Subject: [PATCH 167/244] Readd accidentally dropped StreamHandler

---
 freqtrade/loggers.py        | 7 ++++++-
 tests/test_configuration.py | 2 +-
 2 files changed, 7 insertions(+), 2 deletions(-)

diff --git a/freqtrade/loggers.py b/freqtrade/loggers.py
index 0b1337b2c..cb83f9144 100644
--- a/freqtrade/loggers.py
+++ b/freqtrade/loggers.py
@@ -1,7 +1,9 @@
 import logging
 import queue
+import sys
 from logging import Formatter
-from logging.handlers import RotatingFileHandler, SysLogHandler, BufferingHandler
+from logging.handlers import (BufferingHandler, RotatingFileHandler,
+                              SysLogHandler)
 from typing import Any, Dict
 
 from freqtrade.exceptions import OperationalException
@@ -58,6 +60,9 @@ def setup_logging(config: Dict[str, Any]) -> None:
     logging.root.addHandler(bufferHandler)
 
     logfile = config.get('logfile')
+
+    logging.root.addHandler(logging.StreamHandler(sys.stderr))
+
     if logfile:
         s = logfile.split(':')
         if s[0] == 'syslog':
diff --git a/tests/test_configuration.py b/tests/test_configuration.py
index ca5d6eadc..dd96f9d73 100644
--- a/tests/test_configuration.py
+++ b/tests/test_configuration.py
@@ -675,7 +675,7 @@ def test_set_loggers_syslog(mocker):
               }
 
     setup_logging(config)
-    assert len(logger.handlers) == 2
+    assert len(logger.handlers) == 3
     assert [x for x in logger.handlers if type(x) == logging.handlers.SysLogHandler]
     assert [x for x in logger.handlers if type(x) == logging.StreamHandler]
     # reset handlers to not break pytest

From 251eb5aa96cbfc385d3eb18347742fd1a10e5db9 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 19:51:50 +0200
Subject: [PATCH 168/244] Test for bufferingHandler too

---
 tests/test_configuration.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/tests/test_configuration.py b/tests/test_configuration.py
index dd96f9d73..8c3a47f87 100644
--- a/tests/test_configuration.py
+++ b/tests/test_configuration.py
@@ -678,6 +678,7 @@ def test_set_loggers_syslog(mocker):
     assert len(logger.handlers) == 3
     assert [x for x in logger.handlers if type(x) == logging.handlers.SysLogHandler]
     assert [x for x in logger.handlers if type(x) == logging.StreamHandler]
+    assert [x for x in logger.handlers if type(x) == logging.handlers.BufferingHandler]
     # reset handlers to not break pytest
     logger.handlers = orig_handlers
 

From cdfcdb86c96fcb0f9b53236aafe1140964206350 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 20:00:09 +0200
Subject: [PATCH 169/244] Increase logfile size

---
 freqtrade/loggers.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/freqtrade/loggers.py b/freqtrade/loggers.py
index cb83f9144..80759e202 100644
--- a/freqtrade/loggers.py
+++ b/freqtrade/loggers.py
@@ -92,7 +92,7 @@ def setup_logging(config: Dict[str, Any]) -> None:
             logging.root.addHandler(handler)
         else:
             handler = RotatingFileHandler(logfile,
-                                          maxBytes=1024 * 1024,  # 1Mb
+                                          maxBytes=1024 * 1024 * 10,  # 10Mb
                                           backupCount=10)
             handler.setFormatter(Formatter(LOGFORMAT))
             logging.root.addHandler(handler)

From c4f78203ab7875c3b23fb0a39787a2e96a469dc4 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 20:08:55 +0200
Subject: [PATCH 170/244] Initialize streamhandler early to have it apply to
 all logs

---
 freqtrade/loggers.py        | 3 +--
 tests/test_configuration.py | 3 ++-
 2 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/freqtrade/loggers.py b/freqtrade/loggers.py
index 80759e202..c4a1af4f3 100644
--- a/freqtrade/loggers.py
+++ b/freqtrade/loggers.py
@@ -48,6 +48,7 @@ def setup_logging_pre() -> None:
     logging.basicConfig(
         level=logging.INFO,
         format=LOGFORMAT,
+        handlers=[logging.StreamHandler(sys.stderr)]
     )
 
 
@@ -61,8 +62,6 @@ def setup_logging(config: Dict[str, Any]) -> None:
 
     logfile = config.get('logfile')
 
-    logging.root.addHandler(logging.StreamHandler(sys.stderr))
-
     if logfile:
         s = logfile.split(':')
         if s[0] == 'syslog':
diff --git a/tests/test_configuration.py b/tests/test_configuration.py
index 8c3a47f87..30e0718f7 100644
--- a/tests/test_configuration.py
+++ b/tests/test_configuration.py
@@ -21,7 +21,7 @@ from freqtrade.configuration.deprecated_settings import (
 from freqtrade.configuration.load_config import load_config_file, log_config_error_range
 from freqtrade.constants import DEFAULT_DB_DRYRUN_URL, DEFAULT_DB_PROD_URL
 from freqtrade.exceptions import OperationalException
-from freqtrade.loggers import _set_loggers, setup_logging
+from freqtrade.loggers import _set_loggers, setup_logging, setup_logging_pre
 from freqtrade.state import RunMode
 from tests.conftest import (log_has, log_has_re,
                             patched_configuration_load_config_file)
@@ -674,6 +674,7 @@ def test_set_loggers_syslog(mocker):
               'logfile': 'syslog:/dev/log',
               }
 
+    setup_logging_pre()
     setup_logging(config)
     assert len(logger.handlers) == 3
     assert [x for x in logger.handlers if type(x) == logging.handlers.SysLogHandler]

From 9659e516c8c8298a376b131e24f281cfea537c0e Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 14 Aug 2020 20:12:59 +0200
Subject: [PATCH 171/244] Remove queue import

Improve tests
---
 freqtrade/loggers.py            |  9 ++++-----
 tests/rpc/test_rpc_apiserver.py |  8 ++++++++
 tests/rpc/test_rpc_telegram.py  | 15 +++++++++++++++
 3 files changed, 27 insertions(+), 5 deletions(-)

diff --git a/freqtrade/loggers.py b/freqtrade/loggers.py
index c4a1af4f3..6e66abeeb 100644
--- a/freqtrade/loggers.py
+++ b/freqtrade/loggers.py
@@ -1,5 +1,4 @@
 import logging
-import queue
 import sys
 from logging import Formatter
 from logging.handlers import (BufferingHandler, RotatingFileHandler,
@@ -9,7 +8,6 @@ from typing import Any, Dict
 from freqtrade.exceptions import OperationalException
 
 logger = logging.getLogger(__name__)
-log_queue = queue.Queue(-1)
 LOGFORMAT = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
 
 # Initialize bufferhandler - will be used for /log endpoints
@@ -41,9 +39,10 @@ def _set_loggers(verbosity: int = 0, api_verbosity: str = 'info') -> None:
 
 def setup_logging_pre() -> None:
     """
-    Setup early logging.
-    This uses a queuehandler, which delays logging.
-    # TODO: How does QueueHandler work if no listenerhandler is attached??
+    Early setup for logging.
+    Uses INFO loglevel and only the Streamhandler.
+    Early messages (before proper logging setup) will therefore only be available
+    after the proper logging setup.
     """
     logging.basicConfig(
         level=logging.INFO,
diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py
index 2fb1e3ec1..1dd0ecff8 100644
--- a/tests/rpc/test_rpc_apiserver.py
+++ b/tests/rpc/test_rpc_apiserver.py
@@ -447,6 +447,14 @@ def test_api_logs(botclient):
     assert isinstance(rc.json['logs'][0][3], str)
     assert isinstance(rc.json['logs'][0][4], str)
 
+    rc = client_get(client, f"{BASE_URI}/logs?limit=5")
+    assert_response(rc)
+    assert len(rc.json) == 2
+    assert 'logs' in rc.json
+    # Using a fixed comparison here would make this test fail!
+    assert rc.json['log_count'] == 5
+    assert len(rc.json['logs']) == rc.json['log_count']
+
 
 def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
     ftbot, client = botclient
diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py
index 1144d8279..e0df31437 100644
--- a/tests/rpc/test_rpc_telegram.py
+++ b/tests/rpc/test_rpc_telegram.py
@@ -1127,6 +1127,21 @@ def test_telegram_logs(default_conf, update, mocker) -> None:
     assert "freqtrade.rpc.telegram" in msg_mock.call_args_list[0][0][0]
     assert "freqtrade.resolvers.iresolver" in msg_mock.call_args_list[0][0][0]
 
+    msg_mock.reset_mock()
+    context.args = ["1"]
+    telegram._logs(update=update, context=context)
+    assert msg_mock.call_count == 1
+
+    msg_mock.reset_mock()
+    # Test with changed MaxMessageLength
+    mocker.patch('freqtrade.rpc.telegram.MAX_TELEGRAM_MESSAGE_LENGTH', 200)
+    context = MagicMock()
+    context.args = []
+    telegram._logs(update=update, context=context)
+    # Called at least 3 times. Exact times will change with unrelated changes to setup messages
+    # Therefore we don't test for this explicitly.
+    assert msg_mock.call_count > 3
+
 
 def test_edge_disabled(default_conf, update, mocker) -> None:
     msg_mock = MagicMock()

From f5863a1c6fd3d8b29cde23561fb8b4dbfc86bf3d Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 15 Aug 2020 08:15:18 +0200
Subject: [PATCH 172/244] Fix mypy errors

---
 freqtrade/loggers.py | 16 ++++++++--------
 freqtrade/rpc/rpc.py |  4 ++--
 2 files changed, 10 insertions(+), 10 deletions(-)

diff --git a/freqtrade/loggers.py b/freqtrade/loggers.py
index 6e66abeeb..263f97ce1 100644
--- a/freqtrade/loggers.py
+++ b/freqtrade/loggers.py
@@ -82,18 +82,18 @@ def setup_logging(config: Dict[str, Any]) -> None:
             except ImportError:
                 raise OperationalException("You need the systemd python package be installed in "
                                            "order to use logging to journald.")
-            handler = JournaldLogHandler()
+            handler_jd = JournaldLogHandler()
             # No datetime field for logging into journald, to allow syslog
             # to perform reduction of repeating messages if this is set in the
             # syslog config. The messages should be equal for this.
-            handler.setFormatter(Formatter('%(name)s - %(levelname)s - %(message)s'))
-            logging.root.addHandler(handler)
+            handler_jd.setFormatter(Formatter('%(name)s - %(levelname)s - %(message)s'))
+            logging.root.addHandler(handler_jd)
         else:
-            handler = RotatingFileHandler(logfile,
-                                          maxBytes=1024 * 1024 * 10,  # 10Mb
-                                          backupCount=10)
-            handler.setFormatter(Formatter(LOGFORMAT))
-            logging.root.addHandler(handler)
+            handler_rf = RotatingFileHandler(logfile,
+                                             maxBytes=1024 * 1024 * 10,  # 10Mb
+                                             backupCount=10)
+            handler_rf.setFormatter(Formatter(LOGFORMAT))
+            logging.root.addHandler(handler_rf)
 
     logging.root.setLevel(logging.INFO if verbosity < 1 else logging.DEBUG)
     _set_loggers(verbosity, config.get('api_server', {}).get('verbosity', 'info'))
diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index dd35b9613..37538499d 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -633,7 +633,7 @@ class RPC:
                }
         return res
 
-    def _rpc_get_logs(self, limit: Optional[int]) -> Dict[str, List]:
+    def _rpc_get_logs(self, limit: Optional[int]) -> Dict[str, Any]:
         """Returns the last X logs"""
         if limit:
             buffer = bufferHandler.buffer[-limit:]
@@ -644,7 +644,7 @@ class RPC:
 
         return {'log_count': len(records), 'logs': records}
 
-    def _rpc_get_logs_as_string(self, limit: Optional[int]) -> Dict[str, List]:
+    def _rpc_get_logs_as_string(self, limit: Optional[int]) -> List[str]:
         """Returns the last X logs as formatted string (Using the default log format)"""
         if limit:
             buffer = bufferHandler.buffer[-limit:]

From 1ffa3d1ae0e4b12f082bc7628500d2940ae99291 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 15 Aug 2020 08:31:36 +0200
Subject: [PATCH 173/244] Improve telegram message formatting

---
 freqtrade/rpc/rpc.py      | 11 ++---------
 freqtrade/rpc/telegram.py | 20 +++++++++++---------
 2 files changed, 13 insertions(+), 18 deletions(-)

diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index 37538499d..59c6acafa 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -639,19 +639,12 @@ class RPC:
             buffer = bufferHandler.buffer[-limit:]
         else:
             buffer = bufferHandler.buffer
-        records = [[datetime.fromtimestamp(r.created), r.created, r.name, r.levelname, r.message]
+        records = [[datetime.fromtimestamp(r.created).strftime("%Y-%m-%d %H:%M:%S"),
+                   r.created, r.name, r.levelname, r.message]
                    for r in buffer]
 
         return {'log_count': len(records), 'logs': records}
 
-    def _rpc_get_logs_as_string(self, limit: Optional[int]) -> List[str]:
-        """Returns the last X logs as formatted string (Using the default log format)"""
-        if limit:
-            buffer = bufferHandler.buffer[-limit:]
-        else:
-            buffer = bufferHandler.buffer
-        return [bufferHandler.format(r) for r in buffer]
-
     def _rpc_edge(self) -> List[Dict[str, Any]]:
         """ Returns information related to Edge """
         if not self._freqtrade.edge:
diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py
index da93604d1..23c3e3689 100644
--- a/freqtrade/rpc/telegram.py
+++ b/freqtrade/rpc/telegram.py
@@ -649,20 +649,22 @@ class Telegram(RPC):
                 limit = int(context.args[0])
             except (TypeError, ValueError, IndexError):
                 limit = 10
-            logs = self._rpc_get_logs_as_string(limit)
-            msg = ''
-            message_container = "
{}
"
+            logs = self._rpc_get_logs(limit)['logs']
+            msgs = ''
+            msg_template = "*{}* {}: {} - `{}`"
             for logrec in logs:
-                if len(msg + logrec) + 10 >= MAX_TELEGRAM_MESSAGE_LENGTH:
+                msg = msg_template.format(logrec[0], logrec[2], logrec[3], logrec[4])
+
+                if len(msgs + msg) + 10 >= MAX_TELEGRAM_MESSAGE_LENGTH:
                     # Send message immediately if it would become too long
-                    self._send_msg(message_container.format(msg), parse_mode=ParseMode.HTML)
-                    msg = logrec + '\n'
+                    self._send_msg(msgs, parse_mode=ParseMode.MARKDOWN)
+                    msgs = msg + '\n'
                 else:
                     # Append message to messages to send
-                    msg += logrec + '\n'
+                    msgs += msg + '\n'
 
-            if msg:
-                self._send_msg(message_container.format(msg), parse_mode=ParseMode.HTML)
+            if msgs:
+                self._send_msg(msgs, parse_mode=ParseMode.MARKDOWN)
         except RPCException as e:
             self._send_msg(str(e))
 

From f3d4b114bbcb335b7225c0a984c0bdd8018814cd Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 15 Aug 2020 08:47:09 +0200
Subject: [PATCH 174/244] Skip windows test failure

---
 tests/test_configuration.py | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/tests/test_configuration.py b/tests/test_configuration.py
index 30e0718f7..686f06057 100644
--- a/tests/test_configuration.py
+++ b/tests/test_configuration.py
@@ -729,7 +729,10 @@ def test_set_logfile(default_conf, mocker):
     assert validated_conf['logfile'] == "test_file.log"
     f = Path("test_file.log")
     assert f.is_file()
-    f.unlink()
+    try:
+        f.unlink()
+    except Exception:
+        pass
 
 
 def test_load_config_warn_forcebuy(default_conf, mocker, caplog) -> None:

From 9dd2800b980d044a07febcc00e471b4691db6a6f Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 15 Aug 2020 09:08:50 +0200
Subject: [PATCH 175/244] Apply some review changes

---
 docs/configuration.md             | 6 +++---
 freqtrade/pairlist/AgeFilter.py   | 4 ++--
 freqtrade/pairlist/PriceFilter.py | 6 +++---
 3 files changed, 8 insertions(+), 8 deletions(-)

diff --git a/docs/configuration.md b/docs/configuration.md
index f39a3c62d..5fc28f3bf 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -669,13 +669,13 @@ The `PriceFilter` allows filtering of pairs by price. Currently the following pr
 * `low_price_ratio`
 
 The `min_price` setting removes pairs where the price is below the specified price. This is useful if you wish to avoid trading very low-priced pairs.
-This option is disabled by default (or set to 0), and will only apply if set to > 0.
+This option is disabled by default, and will only apply if set to > 0.
 
 The `max_price` setting removes pairs where the price is above the specified price. This is useful if you wish to trade only low-priced pairs.
-This option is disabled by default (or set to 0), and will only apply if set to > 0.
+This option is disabled by default, and will only apply if set to > 0.
 
 The `low_price_ratio` setting removes pairs where a raise of 1 price unit (pip) is above the `low_price_ratio` ratio.
-This option is disabled by default (or set to 0), and will only apply if set to > 0.
+This option is disabled by default, and will only apply if set to > 0.
 
 For `PriceFiler` at least one of its `min_price`, `max_price` or `low_price_ratio` settings must be applied.
 
diff --git a/freqtrade/pairlist/AgeFilter.py b/freqtrade/pairlist/AgeFilter.py
index 56e56ceeb..64f01cb61 100644
--- a/freqtrade/pairlist/AgeFilter.py
+++ b/freqtrade/pairlist/AgeFilter.py
@@ -26,9 +26,9 @@ class AgeFilter(IPairList):
         self._min_days_listed = pairlistconfig.get('min_days_listed', 10)
 
         if self._min_days_listed < 1:
-            raise OperationalException("AgeFilter requires min_days_listed be >= 1")
+            raise OperationalException("AgeFilter requires min_days_listed to be >= 1")
         if self._min_days_listed > exchange.ohlcv_candle_limit:
-            raise OperationalException("AgeFilter requires min_days_listed be not exceeding "
+            raise OperationalException("AgeFilter requires min_days_listed to not exceed "
                                        "exchange max request size "
                                        f"({exchange.ohlcv_candle_limit})")
 
diff --git a/freqtrade/pairlist/PriceFilter.py b/freqtrade/pairlist/PriceFilter.py
index ae3ab9230..8cd57ee1d 100644
--- a/freqtrade/pairlist/PriceFilter.py
+++ b/freqtrade/pairlist/PriceFilter.py
@@ -20,13 +20,13 @@ class PriceFilter(IPairList):
 
         self._low_price_ratio = pairlistconfig.get('low_price_ratio', 0)
         if self._low_price_ratio < 0:
-            raise OperationalException("PriceFilter requires low_price_ratio be >= 0")
+            raise OperationalException("PriceFilter requires low_price_ratio to be >= 0")
         self._min_price = pairlistconfig.get('min_price', 0)
         if self._min_price < 0:
-            raise OperationalException("PriceFilter requires min_price be >= 0")
+            raise OperationalException("PriceFilter requires min_price to be >= 0")
         self._max_price = pairlistconfig.get('max_price', 0)
         if self._max_price < 0:
-            raise OperationalException("PriceFilter requires max_price be >= 0")
+            raise OperationalException("PriceFilter requires max_price to be >= 0")
         self._enabled = ((self._low_price_ratio > 0) or
                          (self._min_price > 0) or
                          (self._max_price > 0))

From 142f87b68ce4bbe61d8f52581a3a44aa67ebdfae Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 15 Aug 2020 09:11:46 +0200
Subject: [PATCH 176/244] Adjust tests to new wordings

---
 tests/pairlist/test_pairlist.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/tests/pairlist/test_pairlist.py b/tests/pairlist/test_pairlist.py
index ad664abd2..9217abc46 100644
--- a/tests/pairlist/test_pairlist.py
+++ b/tests/pairlist/test_pairlist.py
@@ -549,7 +549,7 @@ def test_agefilter_min_days_listed_too_small(mocker, default_conf, markets, tick
                           )
 
     with pytest.raises(OperationalException,
-                       match=r'AgeFilter requires min_days_listed be >= 1'):
+                       match=r'AgeFilter requires min_days_listed to be >= 1'):
         get_patched_freqtradebot(mocker, default_conf)
 
 
@@ -564,7 +564,7 @@ def test_agefilter_min_days_listed_too_large(mocker, default_conf, markets, tick
                           )
 
     with pytest.raises(OperationalException,
-                       match=r'AgeFilter requires min_days_listed be not exceeding '
+                       match=r'AgeFilter requires min_days_listed to not exceed '
                              r'exchange max request size \([0-9]+\)'):
         get_patched_freqtradebot(mocker, default_conf)
 
@@ -617,15 +617,15 @@ def test_agefilter_caching(mocker, markets, whitelist_conf_3, tickers, ohlcv_his
      ),
     ({"method": "PriceFilter", "low_price_ratio": -0.001},
      None,
-     "PriceFilter requires low_price_ratio be >= 0"
+     "PriceFilter requires low_price_ratio to be >= 0"
      ),  # OperationalException expected
     ({"method": "PriceFilter", "min_price": -0.00000010},
      None,
-     "PriceFilter requires min_price be >= 0"
+     "PriceFilter requires min_price to be >= 0"
      ),  # OperationalException expected
     ({"method": "PriceFilter", "max_price": -1.00010000},
      None,
-     "PriceFilter requires max_price be >= 0"
+     "PriceFilter requires max_price to be >= 0"
      ),  # OperationalException expected
 ])
 def test_pricefilter_desc(mocker, whitelist_conf, markets, pairlistconfig,

From cc91d5138910ce1d355a7eedb801274f05d0f7a0 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 15 Aug 2020 09:18:00 +0200
Subject: [PATCH 177/244] Fix wording in configuration.md

---
 docs/configuration.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/docs/configuration.md b/docs/configuration.md
index 5fc28f3bf..a366cde12 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -683,7 +683,8 @@ Calculation example:
 
 Min price precision for SHITCOIN/BTC is 8 decimals. If its price is 0.00000011 - one price step above would be 0.00000012, which is ~9% higher than the previous price value. You may filter out this pair by using PriceFilter with `low_price_ratio` set to 0.09 (9%) or with `min_price` set to 0.00000011, correspondingly.
 
-Low priced pairs are dangerous since they are often illiquid and it may also be impossible to place the desired stoploss, which can often result in high losses. Consider using PriceFilter with `low_price_ratio` set to a value which is less than the absolute value of your stoploss (for example, if your stoploss is -5% (-0.05), then the value for `low_price_ratio` can be 0.04 or even 0.02).
+!!! Warning "Low priced pairs"
+    Low priced pairs with high "1 pip movements" are dangerous since they are often illiquid and it may also be impossible to place the desired stoploss, which can often result in high losses since price needs to be rounded to the next tradable price - so instead of having a stoploss of -5%, you could end up with a stoploss of -9% simply due to price rounding.
 
 #### ShuffleFilter
 

From c2573c998b98fb295c2c29f6bc092a89c829b7c2 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 15 Aug 2020 16:26:47 +0200
Subject: [PATCH 178/244] Remove Hyperopt note about windows

---
 docs/hyperopt.md | 3 ---
 1 file changed, 3 deletions(-)

diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index 6330a1a5e..9acb606c3 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -370,9 +370,6 @@ By default, hyperopt prints colorized results -- epochs with positive profit are
 
 You can use the `--print-all` command line option if you would like to see all results in the hyperopt output, not only the best ones. When `--print-all` is used, current best results are also colorized by default -- they are printed in bold (bright) style. This can also be switched off with the `--no-color` command line option.
 
-!!! Note "Windows and color output"
-    Windows does not support color-output nativly, therefore it is automatically disabled. To have color-output for hyperopt running under windows, please consider using WSL.
-
 ### Understand Hyperopt ROI results
 
 If you are optimizing ROI (i.e. if optimization search-space contains 'all', 'default' or 'roi'), your result will look as follows and include a ROI table:

From 56ca37fd8bb95e27baca7f396a4ea385e67d3638 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 15 Aug 2020 20:15:02 +0200
Subject: [PATCH 179/244] Also provide stacktrace via log endpoints

---
 freqtrade/rpc/rpc.py           |  3 ++-
 freqtrade/rpc/telegram.py      | 13 ++++++++-----
 tests/rpc/test_rpc_telegram.py |  4 ++--
 3 files changed, 12 insertions(+), 8 deletions(-)

diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index 59c6acafa..b7a4f4f8c 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -640,7 +640,8 @@ class RPC:
         else:
             buffer = bufferHandler.buffer
         records = [[datetime.fromtimestamp(r.created).strftime("%Y-%m-%d %H:%M:%S"),
-                   r.created, r.name, r.levelname, r.message]
+                   r.created, r.name, r.levelname,
+                   r.message + ('\n' + r.exc_text if r.exc_text else '')]
                    for r in buffer]
 
         return {'log_count': len(records), 'logs': records}
diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py
index 23c3e3689..a095714a7 100644
--- a/freqtrade/rpc/telegram.py
+++ b/freqtrade/rpc/telegram.py
@@ -12,6 +12,7 @@ from tabulate import tabulate
 from telegram import ParseMode, ReplyKeyboardMarkup, Update
 from telegram.error import NetworkError, TelegramError
 from telegram.ext import CallbackContext, CommandHandler, Updater
+from telegram.utils.helpers import escape_markdown
 
 from freqtrade.__init__ import __version__
 from freqtrade.rpc import RPC, RPCException, RPCMessageType
@@ -651,20 +652,22 @@ class Telegram(RPC):
                 limit = 10
             logs = self._rpc_get_logs(limit)['logs']
             msgs = ''
-            msg_template = "*{}* {}: {} - `{}`"
+            msg_template = "*{}* {}: {} \\- `{}`"
             for logrec in logs:
-                msg = msg_template.format(logrec[0], logrec[2], logrec[3], logrec[4])
-
+                msg = msg_template.format(escape_markdown(logrec[0], version=2),
+                                          escape_markdown(logrec[2], version=2),
+                                          escape_markdown(logrec[3], version=2),
+                                          escape_markdown(logrec[4], version=2))
                 if len(msgs + msg) + 10 >= MAX_TELEGRAM_MESSAGE_LENGTH:
                     # Send message immediately if it would become too long
-                    self._send_msg(msgs, parse_mode=ParseMode.MARKDOWN)
+                    self._send_msg(msgs, parse_mode=ParseMode.MARKDOWN_V2)
                     msgs = msg + '\n'
                 else:
                     # Append message to messages to send
                     msgs += msg + '\n'
 
             if msgs:
-                self._send_msg(msgs, parse_mode=ParseMode.MARKDOWN)
+                self._send_msg(msgs, parse_mode=ParseMode.MARKDOWN_V2)
         except RPCException as e:
             self._send_msg(str(e))
 
diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py
index e0df31437..026a81ff8 100644
--- a/tests/rpc/test_rpc_telegram.py
+++ b/tests/rpc/test_rpc_telegram.py
@@ -1124,8 +1124,8 @@ def test_telegram_logs(default_conf, update, mocker) -> None:
     context.args = []
     telegram._logs(update=update, context=context)
     assert msg_mock.call_count == 1
-    assert "freqtrade.rpc.telegram" in msg_mock.call_args_list[0][0][0]
-    assert "freqtrade.resolvers.iresolver" in msg_mock.call_args_list[0][0][0]
+    assert "freqtrade\\.rpc\\.telegram" in msg_mock.call_args_list[0][0][0]
+    assert "freqtrade\\.resolvers\\.iresolver" in msg_mock.call_args_list[0][0][0]
 
     msg_mock.reset_mock()
     context.args = ["1"]

From b9e46a3c5a0d2f2ad4f8b18af9d31385fa73e325 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 03:02:10 +0200
Subject: [PATCH 180/244] Update stoploss.md

Updated documentation to simplify examples
---
 docs/stoploss.md | 117 +++++++++++++++++++++++++++++++++--------------
 1 file changed, 83 insertions(+), 34 deletions(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index bf7270dff..2945c18db 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -6,16 +6,10 @@ For example, value `-0.10` will cause immediate sell if the profit dips below -1
 Most of the strategy files already include the optimal `stoploss` value.
 
 !!! Info
-    All stoploss properties mentioned in this file can be set in the Strategy, or in the configuration. Configuration values will override the strategy values.
+    All stoploss properties mentioned in this file can be set in the Strategy, or in the configuration.  
+    Configuration values will override the strategy values.
 
-## Stop Loss Types
-
-At this stage the bot contains the following stoploss support modes:
-
-1. Static stop loss.
-2. Trailing stop loss.
-3. Trailing stop loss, custom positive loss.
-4. Trailing stop loss only once the trade has reached a certain offset.
+## Stop Loss On-Exchange/Freqtrade
 
 Those stoploss modes can be *on exchange* or *off exchange*. If the stoploss is *on exchange* it means a stoploss limit order is placed on the exchange immediately after buy order happens successfully. This will protect you against sudden crashes in market as the order will be in the queue immediately and if market goes down then the order has more chance of being fulfilled.
 
@@ -27,19 +21,58 @@ So this parameter will tell the bot how often it should update the stoploss orde
 This same logic will reapply a stoploss order on the exchange should you cancel it accidentally.
 
 !!! Note
-    Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.
+    Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.  
+    Do not set too low stoploss value if using stop loss on exhange!
 
-## Static Stop Loss
+Stop loss on exchange is controlled with this value (default False):
+
+``` python
+    'stoploss_on_exchange': False
+```
+
+Example from strategy file:
+
+``` python
+order_types = {
+    'buy': 'limit',
+    'sell': 'limit',
+    'stoploss': 'market',
+    'stoploss_on_exchange': True
+}
+```
+
+## Stop Loss Types
+
+At this stage the bot contains the following stoploss support modes:
+
+1. Static stop loss.
+2. Trailing stop loss.
+3. Trailing stop loss, custom positive loss.
+4. Trailing stop loss only once the trade has reached a certain offset.
+
+### Static Stop Loss
 
 This is very simple, you define a stop loss of x (as a ratio of price, i.e. x * 100% of price). This will try to sell the asset once the loss exceeds the defined loss.
 
-## Trailing Stop Loss
+Example of stop loss:
+
+``` python
+    stoploss = -0.10
+```
+
+For example, simplified math:
+* the bot buys an asset at a price of 100$
+* the stop loss is defined at -10%
+* the stop loss would get triggered once the asset dropps below 90$
+
+### Trailing Stop Loss
 
 The initial value for this is `stoploss`, just as you would define your static Stop loss.
 To enable trailing stoploss:
 
 ``` python
-trailing_stop = True
+    stoploss = -0.10
+    trailing_stop = True
 ```
 
 This will now activate an algorithm, which automatically moves the stop loss up every time the price of your asset increases.
@@ -47,35 +80,40 @@ This will now activate an algorithm, which automatically moves the stop loss up
 For example, simplified math:
 
 * the bot buys an asset at a price of 100$
-* the stop loss is defined at 2%
-* the stop loss would get triggered once the asset dropps below 98$
+* the stop loss is defined at -10%
+* the stop loss would get triggered once the asset dropps below 90$
 * assuming the asset now increases to 102$
-* the stop loss will now be 2% of 102$ or 99.96$
-* now the asset drops in value to 101$, the stop loss will still be 99.96$ and would trigger at 99.96$.
+* the stop loss will now be -10% of 102$ = 91,8$
+* now the asset drops in value to 101$, the stop loss will still be 91,8$ and would trigger at 91,8$.
 
 In summary: The stoploss will be adjusted to be always be 2% of the highest observed price.
 
-### Custom positive stoploss
+### Trailing stop loss, custom positive loss
 
-It is also possible to have a default stop loss, when you are in the red with your buy, but once your profit surpasses a certain percentage, the system will utilize a new stop loss, which can have a different value.
-For example your default stop loss is 5%, but once you have 1.1% profit, it will be changed to be only a 1% stop loss, which trails the green candles until it goes below them.
+It is also possible to have a default stop loss, when you are in the red with your buy (buy - fee), but once you hit possitive result the system will utilize a new stop loss, which can have a different value.
+For example your default stop loss is -10%, but once you have more than 0% profit (example 0.1%) a different trailing stoploss will be used.
 
-Both values require `trailing_stop` to be set to true.
+Both values require `trailing_stop` to be set to true and trailing_stop_positive with a value.
 
 ``` python
-    trailing_stop_positive = 0.01
-    trailing_stop_positive_offset = 0.011
+    stoploss = -0.10
+    trailing_stop = True
+    trailing_stop_positive = 0.02
 ```
 
-The 0.01 would translate to a 1% stop loss, once you hit 1.1% profit.
+For example, simplified math:
+
+* the bot buys an asset at a price of 100$
+* the stop loss is defined at -10%
+* the stop loss would get triggered once the asset dropps below 90$
+* assuming the asset now increases to 102$
+* the stop loss will now be -2% of 102$ = 99,96$
+* now the asset drops in value to 101$, the stop loss will still be 99,96$ and would trigger at 99,96$
+
+The 0.02 would translate to a -2% stop loss.
 Before this, `stoploss` is used for the trailing stoploss.
 
-Read the [next section](#trailing-only-once-offset-is-reached) to keep stoploss at 5% of the entry point.
-
-!!! Tip
-    Make sure to have this value (`trailing_stop_positive_offset`) lower than minimal ROI, otherwise minimal ROI will apply first and sell the trade.
-
-### Trailing only once offset is reached
+### Trailing stop loss only once the trade has reached a certain offset.
 
 It is also possible to use a static stoploss until the offset is reached, and then trail the trade to take profits once the market turns.
 
@@ -87,17 +125,28 @@ This option can be used with or without `trailing_stop_positive`, but uses `trai
     trailing_only_offset_is_reached = True
 ```
 
-Simplified example:
+Configuration (offset is buyprice + 3%):
 
 ``` python
-    stoploss = 0.05
+    stoploss = -0.10
+    trailing_stop = True
+    trailing_stop_positive = 0.02
     trailing_stop_positive_offset = 0.03
     trailing_only_offset_is_reached = True
 ```
 
+For example, simplified math:
+
 * the bot buys an asset at a price of 100$
-* the stop loss is defined at 5%
-* the stop loss will remain at 95% until profit reaches +3%
+* the stop loss is defined at -10%
+* the stop loss would get triggered once the asset dropps below 90$
+* stoploss will remain at 90$ unless asset increases to or above our configured offset
+* assuming the asset now increases to 103$ (where we have the offset configured)
+* the stop loss will now be -2% of 103$ = 100,94$
+* now the asset drops in value to 101$, the stop loss will still be 100,94$ and would trigger at 100,94$
+
+!!! Tip
+    Make sure to have this value (`trailing_stop_positive_offset`) lower than minimal ROI, otherwise minimal ROI will apply first and sell the trade.
 
 ## Changing stoploss on open trades
 

From bae8e5ed1a535435a580a2f39776929adc0046cd Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:03:56 +0200
Subject: [PATCH 181/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 2945c18db..32c304e60 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -63,7 +63,7 @@ Example of stop loss:
 For example, simplified math:
 * the bot buys an asset at a price of 100$
 * the stop loss is defined at -10%
-* the stop loss would get triggered once the asset dropps below 90$
+* the stop loss would get triggered once the asset drops below 90$
 
 ### Trailing Stop Loss
 

From c60192e4bdd5440c9f1c5ff2d039c269935a71f4 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:05:07 +0200
Subject: [PATCH 182/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 32c304e60..8bb68eb1d 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -81,7 +81,7 @@ For example, simplified math:
 
 * the bot buys an asset at a price of 100$
 * the stop loss is defined at -10%
-* the stop loss would get triggered once the asset dropps below 90$
+* the stop loss would get triggered once the asset drops below 90$
 * assuming the asset now increases to 102$
 * the stop loss will now be -10% of 102$ = 91,8$
 * now the asset drops in value to 101$, the stop loss will still be 91,8$ and would trigger at 91,8$.

From 1ce392f65208b9a1426d414eae4712ac72ed6ce1 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:05:38 +0200
Subject: [PATCH 183/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 8bb68eb1d..dbe839cab 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -37,7 +37,9 @@ order_types = {
     'buy': 'limit',
     'sell': 'limit',
     'stoploss': 'market',
-    'stoploss_on_exchange': True
+    'stoploss_on_exchange': True,
+    'stoploss_on_exchange_interval': 60,
+    'stoploss_on_exchange_limit_ratio': 0.99
 }
 ```
 

From 4ade3daa1ef1fd25e523314acd6b209a494e2c8f Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:09:19 +0200
Subject: [PATCH 184/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index dbe839cab..57d6c160e 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -85,8 +85,8 @@ For example, simplified math:
 * the stop loss is defined at -10%
 * the stop loss would get triggered once the asset drops below 90$
 * assuming the asset now increases to 102$
-* the stop loss will now be -10% of 102$ = 91,8$
-* now the asset drops in value to 101$, the stop loss will still be 91,8$ and would trigger at 91,8$.
+* the stop loss will now be -10% of 102$ = 91.8$
+* now the asset drops in value to 101$, the stop loss will still be 91.8$ and would trigger at 91,8$.
 
 In summary: The stoploss will be adjusted to be always be 2% of the highest observed price.
 

From 902d40a32a7a9ed9992a4743e9a16cc7226cf28d Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:13:27 +0200
Subject: [PATCH 185/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 57d6c160e..7942b4c68 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -95,7 +95,7 @@ In summary: The stoploss will be adjusted to be always be 2% of the highest obse
 It is also possible to have a default stop loss, when you are in the red with your buy (buy - fee), but once you hit possitive result the system will utilize a new stop loss, which can have a different value.
 For example your default stop loss is -10%, but once you have more than 0% profit (example 0.1%) a different trailing stoploss will be used.
 
-Both values require `trailing_stop` to be set to true and trailing_stop_positive with a value.
+Both values require `trailing_stop` to be set to true and `trailing_stop_positive` with a value.
 
 ``` python
     stoploss = -0.10

From e30a38932f47406dde2cef8ec956358ff95bbf48 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:13:40 +0200
Subject: [PATCH 186/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 7942b4c68..e6cc59c83 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -107,7 +107,7 @@ For example, simplified math:
 
 * the bot buys an asset at a price of 100$
 * the stop loss is defined at -10%
-* the stop loss would get triggered once the asset dropps below 90$
+* the stop loss would get triggered once the asset drops below 90$
 * assuming the asset now increases to 102$
 * the stop loss will now be -2% of 102$ = 99,96$
 * now the asset drops in value to 101$, the stop loss will still be 99,96$ and would trigger at 99,96$

From 4a0c988b678509cfe3fc61d87a015197b3d063a2 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:13:54 +0200
Subject: [PATCH 187/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index e6cc59c83..142dfd2c9 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -109,8 +109,8 @@ For example, simplified math:
 * the stop loss is defined at -10%
 * the stop loss would get triggered once the asset drops below 90$
 * assuming the asset now increases to 102$
-* the stop loss will now be -2% of 102$ = 99,96$
-* now the asset drops in value to 101$, the stop loss will still be 99,96$ and would trigger at 99,96$
+* the stop loss will now be -2% of 102$ = 99.96$
+* now the asset drops in value to 101$, the stop loss will still be 99.96$ and would trigger at 99.96$
 
 The 0.02 would translate to a -2% stop loss.
 Before this, `stoploss` is used for the trailing stoploss.

From 67e9721274aa2bd1e23654b0befadce93ade8ce0 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:14:50 +0200
Subject: [PATCH 188/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 142dfd2c9..b866a3efa 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -115,7 +115,7 @@ For example, simplified math:
 The 0.02 would translate to a -2% stop loss.
 Before this, `stoploss` is used for the trailing stoploss.
 
-### Trailing stop loss only once the trade has reached a certain offset.
+### Trailing stop loss only once the trade has reached a certain offset
 
 It is also possible to use a static stoploss until the offset is reached, and then trail the trade to take profits once the market turns.
 

From 8b348fc247416b04149d62a378c43bb6aa4dea89 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:16:35 +0200
Subject: [PATCH 189/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index b866a3efa..30d866fff 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -92,7 +92,7 @@ In summary: The stoploss will be adjusted to be always be 2% of the highest obse
 
 ### Trailing stop loss, custom positive loss
 
-It is also possible to have a default stop loss, when you are in the red with your buy (buy - fee), but once you hit possitive result the system will utilize a new stop loss, which can have a different value.
+It is also possible to have a default stop loss, when you are in the red with your buy (buy - fee), but once you hit positive result the system will utilize a new stop loss, which can have a different value.
 For example your default stop loss is -10%, but once you have more than 0% profit (example 0.1%) a different trailing stoploss will be used.
 
 Both values require `trailing_stop` to be set to true and `trailing_stop_positive` with a value.

From 5091767276073528930d58b1f9d96b4d31da8133 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:17:01 +0200
Subject: [PATCH 190/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 30d866fff..ab3297ae9 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -141,7 +141,7 @@ For example, simplified math:
 
 * the bot buys an asset at a price of 100$
 * the stop loss is defined at -10%
-* the stop loss would get triggered once the asset dropps below 90$
+* the stop loss would get triggered once the asset drops below 90$
 * stoploss will remain at 90$ unless asset increases to or above our configured offset
 * assuming the asset now increases to 103$ (where we have the offset configured)
 * the stop loss will now be -2% of 103$ = 100,94$

From 81a75c97cf6a17e7ff2683d9003696059993ba97 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:17:11 +0200
Subject: [PATCH 191/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index ab3297ae9..2cee88748 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -144,8 +144,8 @@ For example, simplified math:
 * the stop loss would get triggered once the asset drops below 90$
 * stoploss will remain at 90$ unless asset increases to or above our configured offset
 * assuming the asset now increases to 103$ (where we have the offset configured)
-* the stop loss will now be -2% of 103$ = 100,94$
-* now the asset drops in value to 101$, the stop loss will still be 100,94$ and would trigger at 100,94$
+* the stop loss will now be -2% of 103$ = 100.94$
+* now the asset drops in value to 101$, the stop loss will still be 100.94$ and would trigger at 100.94$
 
 !!! Tip
     Make sure to have this value (`trailing_stop_positive_offset`) lower than minimal ROI, otherwise minimal ROI will apply first and sell the trade.

From ddba999fe2a25befa5ad6705956a6c9bc1776eb8 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 13:44:32 +0200
Subject: [PATCH 192/244] Update stoploss.md

---
 docs/stoploss.md | 14 +++++++++-----
 1 file changed, 9 insertions(+), 5 deletions(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 2cee88748..283826708 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -16,13 +16,14 @@ Those stoploss modes can be *on exchange* or *off exchange*. If the stoploss is
 In case of stoploss on exchange there is another parameter called `stoploss_on_exchange_interval`. This configures the interval in seconds at which the bot will check the stoploss and update it if necessary.
 
 For example, assuming the stoploss is on exchange, and trailing stoploss is enabled, and the market is going up, then the bot automatically cancels the previous stoploss order and puts a new one with a stop value higher than the previous stoploss order.
-The bot cannot do this every 5 seconds (at each iteration), otherwise it would get banned by the exchange.
+The bot cannot do these every 5 seconds (at each iteration), otherwise it would get banned by the exchange.
 So this parameter will tell the bot how often it should update the stoploss order. The default value is 60 (1 minute).
 This same logic will reapply a stoploss order on the exchange should you cancel it accidentally.
 
 !!! Note
     Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.  
-    Do not set too low stoploss value if using stop loss on exhange!
+    Do not set too low stoploss value if using stop loss on exhange!  
+*   If set to low/tight then you have greater risk of missing fill on the order and stoploss will not work
 
 Stop loss on exchange is controlled with this value (default False):
 
@@ -88,12 +89,15 @@ For example, simplified math:
 * the stop loss will now be -10% of 102$ = 91.8$
 * now the asset drops in value to 101$, the stop loss will still be 91.8$ and would trigger at 91,8$.
 
-In summary: The stoploss will be adjusted to be always be 2% of the highest observed price.
+In summary: The stoploss will be adjusted to be always be -10% of the highest observed price.
 
 ### Trailing stop loss, custom positive loss
 
 It is also possible to have a default stop loss, when you are in the red with your buy (buy - fee), but once you hit positive result the system will utilize a new stop loss, which can have a different value.
-For example your default stop loss is -10%, but once you have more than 0% profit (example 0.1%) a different trailing stoploss will be used.
+For example, your default stop loss is -10%, but once you have more than 0% profit (example 0.1%) a different trailing stoploss will be used.
+
+!!! Note
+    If you want the stoploss to only be changed when you break even of making a profit (what most users want) please refere to next section with [offset enabled](#Trailing-stop-loss-only-once-the-trade-has-reached-a-certain-offset).
 
 Both values require `trailing_stop` to be set to true and `trailing_stop_positive` with a value.
 
@@ -109,7 +113,7 @@ For example, simplified math:
 * the stop loss is defined at -10%
 * the stop loss would get triggered once the asset drops below 90$
 * assuming the asset now increases to 102$
-* the stop loss will now be -2% of 102$ = 99.96$
+* the stop loss will now be -2% of 102$ = 99.96$ (99.96$ stop loss will be locked in and will follow asset price increasements with -2%)
 * now the asset drops in value to 101$, the stop loss will still be 99.96$ and would trigger at 99.96$
 
 The 0.02 would translate to a -2% stop loss.

From f8efb87a676d872e950a496e52ef0de88d32216c Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 14:57:53 +0200
Subject: [PATCH 193/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 283826708..5a8a553e7 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -87,7 +87,7 @@ For example, simplified math:
 * the stop loss would get triggered once the asset drops below 90$
 * assuming the asset now increases to 102$
 * the stop loss will now be -10% of 102$ = 91.8$
-* now the asset drops in value to 101$, the stop loss will still be 91.8$ and would trigger at 91,8$.
+* now the asset drops in value to 101$, the stop loss will still be 91.8$ and would trigger at 91.8$.
 
 In summary: The stoploss will be adjusted to be always be -10% of the highest observed price.
 

From bd308889fcb49ba4decb7dc969d6b3886e3e49fc Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Sun, 16 Aug 2020 14:58:06 +0200
Subject: [PATCH 194/244] Update docs/stoploss.md

Co-authored-by: Matthias 
---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 5a8a553e7..d0b7f654d 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -97,7 +97,7 @@ It is also possible to have a default stop loss, when you are in the red with yo
 For example, your default stop loss is -10%, but once you have more than 0% profit (example 0.1%) a different trailing stoploss will be used.
 
 !!! Note
-    If you want the stoploss to only be changed when you break even of making a profit (what most users want) please refere to next section with [offset enabled](#Trailing-stop-loss-only-once-the-trade-has-reached-a-certain-offset).
+    If you want the stoploss to only be changed when you break even of making a profit (what most users want) please refer to next section with [offset enabled](#Trailing-stop-loss-only-once-the-trade-has-reached-a-certain-offset).
 
 Both values require `trailing_stop` to be set to true and `trailing_stop_positive` with a value.
 

From 4619a50097074ff5686ecbff47594092fb169b5a Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Mon, 17 Aug 2020 02:07:25 +0200
Subject: [PATCH 195/244] Update configuration.md

---
 docs/configuration.md | 21 +++++----------------
 1 file changed, 5 insertions(+), 16 deletions(-)

diff --git a/docs/configuration.md b/docs/configuration.md
index a200d6411..ad18ac713 100644
--- a/docs/configuration.md
+++ b/docs/configuration.md
@@ -55,9 +55,9 @@ Mandatory parameters are marked as **Required**, which means that they are requi
 | `process_only_new_candles` | Enable processing of indicators only when new candles arrive. If false each loop populates the indicators, this will mean the same candle is processed many times creating system load but can be useful of your strategy depends on tick data not only candle. [Strategy Override](#parameters-in-the-strategy). 
*Defaults to `false`.*  
 **Datatype:** Boolean
 | `minimal_roi` | **Required.** Set the threshold as ratio the bot will use to sell a trade. [More information below](#understand-minimal_roi). [Strategy Override](#parameters-in-the-strategy). 
 **Datatype:** Dict
 | `stoploss` |  **Required.** Value as ratio of the stoploss used by the bot. More details in the [stoploss documentation](stoploss.md). [Strategy Override](#parameters-in-the-strategy).  
 **Datatype:** Float (as ratio)
-| `trailing_stop` | Enables trailing stoploss (based on `stoploss` in either configuration or strategy file). More details in the [stoploss documentation](stoploss.md). [Strategy Override](#parameters-in-the-strategy). 
 **Datatype:** Boolean
-| `trailing_stop_positive` | Changes stoploss once profit has been reached. More details in the [stoploss documentation](stoploss.md). [Strategy Override](#parameters-in-the-strategy). 
 **Datatype:** Float
-| `trailing_stop_positive_offset` | Offset on when to apply `trailing_stop_positive`. Percentage value which should be positive. More details in the [stoploss documentation](stoploss.md). [Strategy Override](#parameters-in-the-strategy). 
*Defaults to `0.0` (no offset).* 
 **Datatype:** Float
+| `trailing_stop` | Enables trailing stoploss (based on `stoploss` in either configuration or strategy file). More details in the [stoploss documentation](stoploss.md#trailing-stop-loss). [Strategy Override](#parameters-in-the-strategy). 
 **Datatype:** Boolean
+| `trailing_stop_positive` | Changes stoploss once profit has been reached. More details in the [stoploss documentation](stoploss.md#trailing-stop-loss-custom-positive-loss). [Strategy Override](#parameters-in-the-strategy). 
 **Datatype:** Float
+| `trailing_stop_positive_offset` | Offset on when to apply `trailing_stop_positive`. Percentage value which should be positive. More details in the [stoploss documentation](stoploss.md#trailing-stop-loss-only-once-the-trade-has-reached-a-certain-offset). [Strategy Override](#parameters-in-the-strategy). 
*Defaults to `0.0` (no offset).* 
 **Datatype:** Float
 | `trailing_only_offset_is_reached` | Only apply trailing stoploss when the offset is reached. [stoploss documentation](stoploss.md). [Strategy Override](#parameters-in-the-strategy). 
*Defaults to `false`.*  
 **Datatype:** Boolean
 | `unfilledtimeout.buy` | **Required.** How long (in minutes) the bot will wait for an unfilled buy order to complete, after which the order will be cancelled. [Strategy Override](#parameters-in-the-strategy).
 **Datatype:** Integer
 | `unfilledtimeout.sell` | **Required.** How long (in minutes) the bot will wait for an unfilled sell order to complete, after which the order will be cancelled. [Strategy Override](#parameters-in-the-strategy).
 **Datatype:** Integer
@@ -278,24 +278,13 @@ This allows to buy using limit orders, sell using
 limit-orders, and create stoplosses using market orders. It also allows to set the
 stoploss "on exchange" which means stoploss order would be placed immediately once
 the buy order is fulfilled.
-If `stoploss_on_exchange` and `trailing_stop` are both set, then the bot will use `stoploss_on_exchange_interval` to check and update the stoploss on exchange periodically.
-`order_types` can be set in the configuration file or in the strategy.
+    
 `order_types` set in the configuration file overwrites values set in the strategy as a whole, so you need to configure the whole `order_types` dictionary in one place.
 
 If this is configured, the following 4 values (`buy`, `sell`, `stoploss` and
 `stoploss_on_exchange`) need to be present, otherwise the bot will fail to start.
 
-`emergencysell` is an optional value, which defaults to `market` and is used when creating stoploss on exchange orders fails.
-The below is the default which is used if this is not configured in either strategy or configuration file.
-
-Not all Exchanges support `stoploss_on_exchange`. If an exchange supports both limit and market stoploss orders, then the value of `stoploss` will be used to determine the stoploss type.
-
-If `stoploss_on_exchange` uses limit orders, the exchange needs 2 prices, the stoploss_price and the Limit price.
-`stoploss` defines the stop-price - and limit should be slightly below this.
-
-This defaults to 0.99 / 1% (configurable via `stoploss_on_exchange_limit_ratio`).
-Calculation example: we bought the asset at 100$.
-Stop-price is 95$, then limit would be `95 * 0.99 = 94.05$` - so the stoploss will happen between 95$ and 94.05$.
+For information on (`emergencysell`,`stoploss_on_exchange`,`stoploss_on_exchange_interval`,`stoploss_on_exchange_limit_ratio`) please see stop loss documentation [stop loss on exchange](stoploss.md)
 
 Syntax for Strategy:
 

From 2a6faaae64f6e5e3a5d85a7cf60d4574031e7189 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Mon, 17 Aug 2020 02:07:32 +0200
Subject: [PATCH 196/244] Update stoploss.md

---
 docs/stoploss.md | 37 ++++++++++++++++++++++++++++++-------
 1 file changed, 30 insertions(+), 7 deletions(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index d0b7f654d..ffa125fa5 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -11,25 +11,47 @@ Most of the strategy files already include the optimal `stoploss` value.
 
 ## Stop Loss On-Exchange/Freqtrade
 
-Those stoploss modes can be *on exchange* or *off exchange*. If the stoploss is *on exchange* it means a stoploss limit order is placed on the exchange immediately after buy order happens successfully. This will protect you against sudden crashes in market as the order will be in the queue immediately and if market goes down then the order has more chance of being fulfilled.
+Those stoploss modes can be *on exchange* or *off exchange*.
 
-In case of stoploss on exchange there is another parameter called `stoploss_on_exchange_interval`. This configures the interval in seconds at which the bot will check the stoploss and update it if necessary.
+These modes can be configured with these values:
+
+``` python
+    'emergencysell': 'market',
+    'stoploss_on_exchange': False
+    'stoploss_on_exchange_interval': 60,
+    'stoploss_on_exchange_limit_ratio': 0.99
+```
+
+### stoploss_on_exchange
+Enable or Disable stop loss on exchange.
+If the stoploss is *on exchange* it means a stoploss limit order is placed on the exchange immediately after buy order happens successfully. This will protect you against sudden crashes in market as the order will be in the queue immediately and if market goes down then the order has more chance of being fulfilled.
+
+If `stoploss_on_exchange` uses limit orders, the exchange needs 2 prices, the stoploss_price and the Limit price.
+`stoploss` defines the stop-price - and limit should be slightly below this.  
+If an exchange supports both limit and market stoploss orders, then the value of `stoploss` will be used to determine the stoploss type.
 
 For example, assuming the stoploss is on exchange, and trailing stoploss is enabled, and the market is going up, then the bot automatically cancels the previous stoploss order and puts a new one with a stop value higher than the previous stoploss order.
+
+### stoploss_on_exchange_interval
+In case of stoploss on exchange there is another parameter called `stoploss_on_exchange_interval`. This configures the interval in seconds at which the bot will check the stoploss and update it if necessary.
 The bot cannot do these every 5 seconds (at each iteration), otherwise it would get banned by the exchange.
 So this parameter will tell the bot how often it should update the stoploss order. The default value is 60 (1 minute).
 This same logic will reapply a stoploss order on the exchange should you cancel it accidentally.
 
+### emergencysell and stoploss_on_exchange_limit_ratio
+`emergencysell` is an optional value, which defaults to `market` and is used when creating stop loss on exchange orders fails.
+The below is the default which is used if this is not configured in either strategy or configuration file.
+
+This defaults to 0.99 / 1% (configurable via `stoploss_on_exchange_limit_ratio`).
+Calculation example: we bought the asset at 100$.
+Stop-price is 95$, then limit would be `95 * 0.99 = 94.05$` - so the stoploss will happen between 95$ and 94.05$.
+
+
 !!! Note
     Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.  
     Do not set too low stoploss value if using stop loss on exhange!  
 *   If set to low/tight then you have greater risk of missing fill on the order and stoploss will not work
 
-Stop loss on exchange is controlled with this value (default False):
-
-``` python
-    'stoploss_on_exchange': False
-```
 
 Example from strategy file:
 
@@ -37,6 +59,7 @@ Example from strategy file:
 order_types = {
     'buy': 'limit',
     'sell': 'limit',
+    'emergencysell': 'market',
     'stoploss': 'market',
     'stoploss_on_exchange': True,
     'stoploss_on_exchange_interval': 60,

From d6ea442588a92493acaf9c9720e2f910028cc957 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Mon, 17 Aug 2020 02:10:56 +0200
Subject: [PATCH 197/244] Update stoploss.md

---
 docs/stoploss.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index ffa125fa5..bbb0be566 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -49,7 +49,7 @@ Stop-price is 95$, then limit would be `95 * 0.99 = 94.05$` - so the stoploss wi
 
 !!! Note
     Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.  
-    Do not set too low stoploss value if using stop loss on exhange!  
+    Do not set too low stoploss value if using stop loss on exchange!  
 *   If set to low/tight then you have greater risk of missing fill on the order and stoploss will not work
 
 

From da6672841a1a5e5c118718e1165c9ed7e9ac1765 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 17 Aug 2020 06:24:49 +0000
Subject: [PATCH 198/244] Bump mkdocs-material from 5.5.3 to 5.5.7

Bumps [mkdocs-material](https://github.com/squidfunk/mkdocs-material) from 5.5.3 to 5.5.7.
- [Release notes](https://github.com/squidfunk/mkdocs-material/releases)
- [Changelog](https://github.com/squidfunk/mkdocs-material/blob/master/docs/changelog.md)
- [Commits](https://github.com/squidfunk/mkdocs-material/compare/5.5.3...5.5.7)

Signed-off-by: dependabot[bot] 
---
 docs/requirements-docs.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/requirements-docs.txt b/docs/requirements-docs.txt
index 4068e364b..ab5aebb79 100644
--- a/docs/requirements-docs.txt
+++ b/docs/requirements-docs.txt
@@ -1,2 +1,2 @@
-mkdocs-material==5.5.3
+mkdocs-material==5.5.7
 mdx_truly_sane_lists==1.2

From 7af7fb261b015522ac92b51f2eea5eb468e15675 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 17 Aug 2020 06:24:50 +0000
Subject: [PATCH 199/244] Bump pytest-cov from 2.10.0 to 2.10.1

Bumps [pytest-cov](https://github.com/pytest-dev/pytest-cov) from 2.10.0 to 2.10.1.
- [Release notes](https://github.com/pytest-dev/pytest-cov/releases)
- [Changelog](https://github.com/pytest-dev/pytest-cov/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest-cov/compare/v2.10.0...v2.10.1)

Signed-off-by: dependabot[bot] 
---
 requirements-dev.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements-dev.txt b/requirements-dev.txt
index c02a439d3..e51713ceb 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -10,7 +10,7 @@ flake8-tidy-imports==4.1.0
 mypy==0.782
 pytest==6.0.1
 pytest-asyncio==0.14.0
-pytest-cov==2.10.0
+pytest-cov==2.10.1
 pytest-mock==3.2.0
 pytest-random-order==1.0.4
 

From 988bff9eaec92c3553d4997be3e8b79a02471164 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 17 Aug 2020 06:24:54 +0000
Subject: [PATCH 200/244] Bump ccxt from 1.32.88 to 1.33.18

Bumps [ccxt](https://github.com/ccxt/ccxt) from 1.32.88 to 1.33.18.
- [Release notes](https://github.com/ccxt/ccxt/releases)
- [Changelog](https://github.com/ccxt/ccxt/blob/master/doc/exchanges-by-country.rst)
- [Commits](https://github.com/ccxt/ccxt/compare/1.32.88...1.33.18)

Signed-off-by: dependabot[bot] 
---
 requirements-common.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements-common.txt b/requirements-common.txt
index b7e71eada..df11ea3de 100644
--- a/requirements-common.txt
+++ b/requirements-common.txt
@@ -1,6 +1,6 @@
 # requirements without requirements installable via conda
 # mainly used for Raspberry pi installs
-ccxt==1.32.88
+ccxt==1.33.18
 SQLAlchemy==1.3.18
 python-telegram-bot==12.8
 arrow==0.15.8

From c8ddd5654adee8d69ee9243855c3cf483e0f6039 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 17 Aug 2020 06:25:04 +0000
Subject: [PATCH 201/244] Bump prompt-toolkit from 3.0.5 to 3.0.6

Bumps [prompt-toolkit](https://github.com/prompt-toolkit/python-prompt-toolkit) from 3.0.5 to 3.0.6.
- [Release notes](https://github.com/prompt-toolkit/python-prompt-toolkit/releases)
- [Changelog](https://github.com/prompt-toolkit/python-prompt-toolkit/blob/master/CHANGELOG)
- [Commits](https://github.com/prompt-toolkit/python-prompt-toolkit/compare/3.0.5...3.0.6)

Signed-off-by: dependabot[bot] 
---
 requirements-common.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements-common.txt b/requirements-common.txt
index b7e71eada..2d7e9be3e 100644
--- a/requirements-common.txt
+++ b/requirements-common.txt
@@ -32,4 +32,4 @@ flask-cors==3.0.8
 colorama==0.4.3
 # Building config files interactively
 questionary==1.5.2
-prompt-toolkit==3.0.5
+prompt-toolkit==3.0.6

From 30a2df14cbb09e30fb12059467e951b73ce888e8 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 17 Aug 2020 06:25:10 +0000
Subject: [PATCH 202/244] Bump coveralls from 2.1.1 to 2.1.2

Bumps [coveralls](https://github.com/coveralls-clients/coveralls-python) from 2.1.1 to 2.1.2.
- [Release notes](https://github.com/coveralls-clients/coveralls-python/releases)
- [Changelog](https://github.com/coveralls-clients/coveralls-python/blob/master/CHANGELOG.md)
- [Commits](https://github.com/coveralls-clients/coveralls-python/compare/2.1.1...2.1.2)

Signed-off-by: dependabot[bot] 
---
 requirements-dev.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements-dev.txt b/requirements-dev.txt
index c02a439d3..41500764c 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -3,7 +3,7 @@
 -r requirements-plot.txt
 -r requirements-hyperopt.txt
 
-coveralls==2.1.1
+coveralls==2.1.2
 flake8==3.8.3
 flake8-type-annotations==0.1.0
 flake8-tidy-imports==4.1.0

From ce15c55185f4c1e78ab084f26a3991c286062cd8 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Mon, 17 Aug 2020 20:24:30 +0200
Subject: [PATCH 203/244] Add libffi-dev to rpi image

---
 Dockerfile.armhf | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/Dockerfile.armhf b/Dockerfile.armhf
index 45ed2dac9..5c5e4a885 100644
--- a/Dockerfile.armhf
+++ b/Dockerfile.armhf
@@ -1,7 +1,7 @@
 FROM --platform=linux/arm/v7 python:3.7.7-slim-buster
 
 RUN apt-get update \
-  && apt-get -y install curl build-essential libssl-dev libatlas3-base libgfortran5 sqlite3 \
+  && apt-get -y install curl build-essential libssl-dev libffi-dev libatlas3-base libgfortran5 sqlite3 \
   && apt-get clean \
   && pip install --upgrade pip \
   && echo "[global]\nextra-index-url=https://www.piwheels.org/simple" > /etc/pip.conf

From aa866294cd7fb93ff25c89007b288a9c4d5e767b Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 18 Aug 2020 14:02:22 +0200
Subject: [PATCH 204/244] Reformulate documentation

---
 docs/backtesting.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/backtesting.md b/docs/backtesting.md
index b1dcd5dba..149d1c104 100644
--- a/docs/backtesting.md
+++ b/docs/backtesting.md
@@ -213,7 +213,7 @@ Hence, keep in mind that your performance is an integral mix of all different el
 ### Sell reasons table
 
 The 2nd table contains a recap of sell reasons.
-This table can tell you which area needs some additional work (e,g. all or many of the `sell_signal` trades are losses, so we should disable the sell-signal or work on improving that).
+This table can tell you which area needs some additional work (e.g. all or many of the `sell_signal` trades are losses, so you should work on improving the sell signal, or consider disabling it).
 
 ### Left open trades table
 

From 4eb17b4daf692041b7504a980edf84e0fd5b769a Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 18 Aug 2020 15:20:37 +0200
Subject: [PATCH 205/244] Remove unneeded function

---
 freqtrade/data/btanalysis.py            |  2 +-
 freqtrade/optimize/optimize_reports.py  | 14 --------------
 tests/optimize/test_optimize_reports.py | 19 +++++++++++++++++++
 3 files changed, 20 insertions(+), 15 deletions(-)

diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py
index cf6e18e64..972961b36 100644
--- a/freqtrade/data/btanalysis.py
+++ b/freqtrade/data/btanalysis.py
@@ -179,7 +179,7 @@ def load_trades_from_db(db_url: str, strategy: Optional[str] = None) -> pd.DataF
 
     filters = []
     if strategy:
-        filters = Trade.strategy == strategy
+        filters.append(Trade.strategy == strategy)
 
     trades = pd.DataFrame([(t.pair,
                             t.open_date.replace(tzinfo=timezone.utc),
diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index 8e25d9d89..c69442d46 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -31,20 +31,6 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N
     file_dump_json(latest_filename, {'latest_backtest': str(filename.name)})
 
 
-def backtest_result_to_list(results: DataFrame) -> List[List]:
-    """
-    Converts a list of Backtest-results to list
-    :param results: Dataframe containing results for one strategy
-    :return: List of Lists containing the trades
-    """
-    # Return 0 as "index" for compatibility reasons (for now)
-    # TODO: Evaluate if we can remove this
-    return [[t.pair, t.profit_percent, t.open_date.timestamp(),
-             t.close_date.timestamp(), 0, t.trade_duration,
-             t.open_rate, t.close_rate, t.open_at_end, t.sell_reason.value]
-            for index, t in results.iterrows()]
-
-
 def _get_line_floatfmt() -> List[str]:
     """
     Generate floatformat (goes in line with _generate_result_line())
diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py
index 2fab4578c..e5d98ca43 100644
--- a/tests/optimize/test_optimize_reports.py
+++ b/tests/optimize/test_optimize_reports.py
@@ -146,6 +146,25 @@ def test_generate_backtest_stats(default_conf, testdatadir):
     filename1.unlink()
 
 
+def test_store_backtest_stats(testdatadir, mocker):
+
+    dump_mock = mocker.patch('freqtrade.optimize.optimize_reports.file_dump_json')
+
+    store_backtest_stats(testdatadir, {})
+
+    assert dump_mock.call_count == 2
+    assert isinstance(dump_mock.call_args_list[0][0][0], Path)
+    assert str(dump_mock.call_args_list[0][0][0]).startswith(str(testdatadir/'backtest-result'))
+
+    dump_mock.reset_mock()
+    filename = testdatadir / 'testresult.json'
+    store_backtest_stats(filename, {})
+    assert dump_mock.call_count == 2
+    assert isinstance(dump_mock.call_args_list[0][0][0], Path)
+    # result will be testdatadir / testresult-.json
+    assert str(dump_mock.call_args_list[0][0][0]).startswith(str(testdatadir / 'testresult'))
+
+
 def test_generate_pair_metrics(default_conf, mocker):
 
     results = pd.DataFrame(

From 668d167adcb103309c44e8d87be97133fc7fbe87 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 18 Aug 2020 16:15:24 +0200
Subject: [PATCH 206/244] Add docstring to store_backtest_stats

---
 freqtrade/optimize/optimize_reports.py | 8 +++++++-
 1 file changed, 7 insertions(+), 1 deletion(-)

diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index c69442d46..bf4e518ba 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -16,7 +16,13 @@ logger = logging.getLogger(__name__)
 
 
 def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> None:
-
+    """
+    Stores backtest results
+    :param recordfilename: Path object, which can either be a filename or a directory.
+        Filenames will be appended with a timestamp right before the suffix
+        while for diectories, /backtest-result-.json will be used as filename
+    :param stats: Dataframe containing the backtesting statistics
+    """
     if recordfilename.is_dir():
         filename = (recordfilename /
                     f'backtest-result-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}.json')

From 9982ad2f365b715f8bf2dd225bdcff509c6d8030 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 18 Aug 2020 16:59:24 +0200
Subject: [PATCH 207/244] Add profit to backtest summary output

---
 docs/backtesting.md                    | 1 +
 freqtrade/optimize/optimize_reports.py | 4 ++++
 2 files changed, 5 insertions(+)

diff --git a/docs/backtesting.md b/docs/backtesting.md
index 149d1c104..20e69f52f 100644
--- a/docs/backtesting.md
+++ b/docs/backtesting.md
@@ -165,6 +165,7 @@ A backtesting result will look like that:
 | Total trades          | 429                 |
 | First trade           | 2019-01-01 18:30:00 |
 | First trade Pair      | EOS/USDT            |
+| Total Profit %        | 152.41%             |
 | Trades per day        | 3.575               |
 | Best day              | 25.27%              |
 | Worst day             | -30.67%             |
diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index bf4e518ba..0799ebb23 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -249,6 +249,9 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame],
             'sell_reason_summary': sell_reason_stats,
             'left_open_trades': left_open_results,
             'total_trades': len(results),
+            'profit_mean': results['profit_percent'].mean(),
+            'profit_total': results['profit_percent'].sum(),
+            'profit_total_abs': results['profit_abs'].sum(),
             'backtest_start': min_date.datetime,
             'backtest_start_ts': min_date.timestamp * 1000,
             'backtest_end': max_date.datetime,
@@ -372,6 +375,7 @@ def text_table_add_metrics(strat_results: Dict) -> str:
             ('Total trades', strat_results['total_trades']),
             ('First trade', min_trade['open_date'].strftime(DATETIME_PRINT_FORMAT)),
             ('First trade Pair', min_trade['pair']),
+            ('Total Profit %', f"{round(strat_results['profit_total'] * 100, 2)}%"),
             ('Trades per day', strat_results['trades_per_day']),
             ('Best day', f"{round(strat_results['backtest_best_day'] * 100, 2)}%"),
             ('Worst day', f"{round(strat_results['backtest_worst_day'] * 100, 2)}%"),

From d8e1f97465922f71128a4cffe37c582ea7721c00 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 18 Aug 2020 19:44:44 +0200
Subject: [PATCH 208/244] Fix documentation typo

---
 docs/backtesting.md | 6 ++++--
 1 file changed, 4 insertions(+), 2 deletions(-)

diff --git a/docs/backtesting.md b/docs/backtesting.md
index 20e69f52f..84911568b 100644
--- a/docs/backtesting.md
+++ b/docs/backtesting.md
@@ -219,7 +219,7 @@ This table can tell you which area needs some additional work (e.g. all or many
 ### Left open trades table
 
 The 3rd table contains all trades the bot had to `forcesell` at the end of the backtesting period to present you the full picture.
-This is necessary to simulate realistic behaviour, since the backtest period has to end at some point, while realistically, you could leave the bot running forever.
+This is necessary to simulate realistic behavior, since the backtest period has to end at some point, while realistically, you could leave the bot running forever.
 These trades are also included in the first table, but are also shown separately in this table for clarity.
 
 ### Summary metrics
@@ -236,6 +236,7 @@ It contains some useful key metrics about performance of your strategy on backte
 | Total trades          | 429                 |
 | First trade           | 2019-01-01 18:30:00 |
 | First trade Pair      | EOS/USDT            |
+| Total Profit %        | 152.41%             |
 | Trades per day        | 3.575               |
 | Best day              | 25.27%              |
 | Worst day             | -30.67%             |
@@ -254,11 +255,12 @@ It contains some useful key metrics about performance of your strategy on backte
 - `First trade`: First trade entered.
 - `First trade pair`: Which pair was part of the first trade.
 - `Backtesting from` / `Backtesting to`: Backtesting range (usually defined with the `--timerange` option).
+- `Total Profit %`: Total profit per stake amount. Aligned to the TOTAL column of the first table.
 - `Trades per day`: Total trades divided by the backtesting duration in days (this will give you information about how many trades to expect from the strategy).
 - `Best day` / `Worst day`: Best and worst day based on daily profit.
 - `Avg. Duration Winners` / `Avg. Duration Loser`: Average durations for winning and losing trades.
 - `Max Drawdown`: Maximum drawdown experienced. For example, the value of 50% means that from highest to subsequent lowest point, a 50% drop was experienced).
-- `Drawdown Start` / `Drawdown End`: Start and end datetimes for this largest drawdown (can also be visualized via the `plot-dataframe` subcommand).
+- `Drawdown Start` / `Drawdown End`: Start and end datetimes for this largest drawdown (can also be visualized via the `plot-dataframe` sub-command).
 - `Market change`: Change of the market during the backtest period. Calculated as average of all pairs changes from the first to the last candle using the "close" column.
 
 ### Assumptions made by backtesting

From 375e671aafc508e91c0ab4fd9b33f74d2eba7400 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 18 Aug 2020 20:12:14 +0200
Subject: [PATCH 209/244] Move formatting of /daily to telegram

so /daily can return numbers in the API
---
 freqtrade/rpc/rpc.py      | 10 ++++------
 freqtrade/rpc/telegram.py |  4 ++--
 2 files changed, 6 insertions(+), 8 deletions(-)

diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index f4e20c16f..7be49b948 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -224,22 +224,20 @@ class RPC:
             ]).order_by(Trade.close_date).all()
             curdayprofit = sum(trade.close_profit_abs for trade in trades)
             profit_days[profitday] = {
-                'amount': f'{curdayprofit:.8f}',
+                'amount': curdayprofit,
                 'trades': len(trades)
             }
 
         data = [
             {
                 'date': key,
-                'abs_profit': f'{float(value["amount"]):.8f}',
-                'fiat_value': '{value:.3f}'.format(
-                    value=self._fiat_converter.convert_amount(
+                'abs_profit': value["amount"],
+                'fiat_value': self._fiat_converter.convert_amount(
                         value['amount'],
                         stake_currency,
                         fiat_display_currency
                     ) if self._fiat_converter else 0,
-                ),
-                'trade_count': f'{value["trades"]}',
+                'trade_count': value["trades"],
             }
             for key, value in profit_days.items()
         ]
diff --git a/freqtrade/rpc/telegram.py b/freqtrade/rpc/telegram.py
index f1d3cde21..809deb765 100644
--- a/freqtrade/rpc/telegram.py
+++ b/freqtrade/rpc/telegram.py
@@ -305,8 +305,8 @@ class Telegram(RPC):
             )
             stats_tab = tabulate(
                 [[day['date'],
-                  f"{day['abs_profit']} {stats['stake_currency']}",
-                  f"{day['fiat_value']} {stats['fiat_display_currency']}",
+                  f"{day['abs_profit']:.8f} {stats['stake_currency']}",
+                  f"{day['fiat_value']:.3f} {stats['fiat_display_currency']}",
                   f"{day['trade_count']} trades"] for day in stats['data']],
                 headers=[
                     'Day',

From e206cc9c216bbf7f140797c001692f41c0d7fd48 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Tue, 18 Aug 2020 20:15:41 +0200
Subject: [PATCH 210/244] Adjust tests

---
 tests/rpc/test_rpc.py | 8 ++++----
 1 file changed, 4 insertions(+), 4 deletions(-)

diff --git a/tests/rpc/test_rpc.py b/tests/rpc/test_rpc.py
index 9bbd34672..164c825ba 100644
--- a/tests/rpc/test_rpc.py
+++ b/tests/rpc/test_rpc.py
@@ -255,11 +255,11 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
     assert days['fiat_display_currency'] == default_conf['fiat_display_currency']
     for day in days['data']:
         # [datetime.date(2018, 1, 11), '0.00000000 BTC', '0.000 USD']
-        assert (day['abs_profit'] == '0.00000000' or
-                day['abs_profit'] == '0.00006217')
+        assert (day['abs_profit'] == 0.0 or
+                day['abs_profit'] == 0.00006217)
 
-        assert (day['fiat_value'] == '0.000' or
-                day['fiat_value'] == '0.767')
+        assert (day['fiat_value'] == 0.0 or
+                day['fiat_value'] == 0.76748865)
     # ensure first day is current date
     assert str(days['data'][0]['date']) == str(datetime.utcnow().date())
 

From 55c6e56762dc3d2523415641d1d25d903919de0c Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Wed, 19 Aug 2020 23:07:03 +0200
Subject: [PATCH 211/244] Update stoploss.md

---
 docs/stoploss.md | 13 ++++++-------
 1 file changed, 6 insertions(+), 7 deletions(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index bbb0be566..2595a3f55 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -22,7 +22,7 @@ These modes can be configured with these values:
     'stoploss_on_exchange_limit_ratio': 0.99
 ```
 
-### stoploss_on_exchange
+### stoploss_on_exchange and stoploss_on_exchange_limit_ratio
 Enable or Disable stop loss on exchange.
 If the stoploss is *on exchange* it means a stoploss limit order is placed on the exchange immediately after buy order happens successfully. This will protect you against sudden crashes in market as the order will be in the queue immediately and if market goes down then the order has more chance of being fulfilled.
 
@@ -30,6 +30,10 @@ If `stoploss_on_exchange` uses limit orders, the exchange needs 2 prices, the st
 `stoploss` defines the stop-price - and limit should be slightly below this.  
 If an exchange supports both limit and market stoploss orders, then the value of `stoploss` will be used to determine the stoploss type.
 
+If `stoploss_on_exchange` fails to fill we can use `stoploss_on_exchange_limit_ratio` that defaults to 0.99 / 1% to perform an [emergency sell](#emergencysell).
+Calculation example: we bought the asset at 100$.
+Stop-price is 95$, then limit would be `95 * 0.99 = 94.05$` - so the stoploss(emergency sell) will happen between 95$ and 94.05$.
+
 For example, assuming the stoploss is on exchange, and trailing stoploss is enabled, and the market is going up, then the bot automatically cancels the previous stoploss order and puts a new one with a stop value higher than the previous stoploss order.
 
 ### stoploss_on_exchange_interval
@@ -38,15 +42,10 @@ The bot cannot do these every 5 seconds (at each iteration), otherwise it would
 So this parameter will tell the bot how often it should update the stoploss order. The default value is 60 (1 minute).
 This same logic will reapply a stoploss order on the exchange should you cancel it accidentally.
 
-### emergencysell and stoploss_on_exchange_limit_ratio
+### emergencysell
 `emergencysell` is an optional value, which defaults to `market` and is used when creating stop loss on exchange orders fails.
 The below is the default which is used if this is not configured in either strategy or configuration file.
 
-This defaults to 0.99 / 1% (configurable via `stoploss_on_exchange_limit_ratio`).
-Calculation example: we bought the asset at 100$.
-Stop-price is 95$, then limit would be `95 * 0.99 = 94.05$` - so the stoploss will happen between 95$ and 94.05$.
-
-
 !!! Note
     Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.  
     Do not set too low stoploss value if using stop loss on exchange!  

From bca24c8b6b584e012e573b8aeb393a1e8e54ab93 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 20 Aug 2020 19:35:40 +0200
Subject: [PATCH 212/244] Clarify hyperopt dataprovider usage

---
 docs/strategy-customization.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/strategy-customization.md b/docs/strategy-customization.md
index 73d085abd..be08faa2d 100644
--- a/docs/strategy-customization.md
+++ b/docs/strategy-customization.md
@@ -366,8 +366,8 @@ All methods return `None` in case of failure (do not raise an exception).
 Please always check the mode of operation to select the correct method to get data (samples see below).
 
 !!! Warning "Hyperopt"
-    Dataprovider is available during hyperopt, however it can only be used in `populate_indicators()`.
-    It is not available in `populate_buy()` and `populate_sell()` methods.
+    Dataprovider is available during hyperopt, however it can only be used in `populate_indicators()` within a strategy.
+    It is not available in `populate_buy()` and `populate_sell()` methods, nor in `populate_indicators()`, if this method located in the hyperopt file.
 
 ### Possible options for DataProvider
 

From f5a9001dc05effd378f07de663a30a88fa6201ec Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 20 Aug 2020 19:51:36 +0200
Subject: [PATCH 213/244] Handle backtest results without any trades

---
 freqtrade/optimize/optimize_reports.py | 15 +++++++++++++--
 1 file changed, 13 insertions(+), 2 deletions(-)

diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index 0799ebb23..0681eed7b 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -31,6 +31,7 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N
             recordfilename.parent,
             f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
             ).with_suffix(recordfilename.suffix)
+    print(stats)
     file_dump_json(filename, stats)
 
     latest_filename = Path.joinpath(filename.parent, LAST_BT_RESULT_FN)
@@ -185,6 +186,16 @@ def generate_edge_table(results: dict) -> str:
 
 
 def generate_daily_stats(results: DataFrame) -> Dict[str, Any]:
+    if len(results) == 0:
+        return {
+            'backtest_best_day': 0,
+            'backtest_worst_day': 0,
+            'winning_days': 0,
+            'draw_days': 0,
+            'losing_days': 0,
+            'winner_holding_avg': timedelta(),
+            'loser_holding_avg': timedelta(),
+        }
     daily_profit = results.resample('1d', on='close_date')['profit_percent'].sum()
     worst = min(daily_profit)
     best = max(daily_profit)
@@ -249,7 +260,7 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame],
             'sell_reason_summary': sell_reason_stats,
             'left_open_trades': left_open_results,
             'total_trades': len(results),
-            'profit_mean': results['profit_percent'].mean(),
+            'profit_mean': results['profit_percent'].mean() if len(results) > 0 else 0,
             'profit_total': results['profit_percent'].sum(),
             'profit_total_abs': results['profit_abs'].sum(),
             'backtest_start': min_date.datetime,
@@ -258,7 +269,7 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame],
             'backtest_end_ts': max_date.timestamp * 1000,
             'backtest_days': backtest_days,
 
-            'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else None,
+            'trades_per_day': round(len(results) / backtest_days, 2) if backtest_days > 0 else 0,
             'market_change': market_change,
             'pairlist': list(btdata.keys()),
             'stake_amount': config['stake_amount'],

From 4f1179d85c3d3aa11a76768c8aaa6af922157e96 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 20 Aug 2020 19:56:41 +0200
Subject: [PATCH 214/244] Test for empty case

---
 freqtrade/optimize/optimize_reports.py  | 1 -
 tests/optimize/test_optimize_reports.py | 8 ++++++++
 2 files changed, 8 insertions(+), 1 deletion(-)

diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index 0681eed7b..94729b6a5 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -31,7 +31,6 @@ def store_backtest_stats(recordfilename: Path, stats: Dict[str, DataFrame]) -> N
             recordfilename.parent,
             f'{recordfilename.stem}-{datetime.now().strftime("%Y-%m-%d_%H-%M-%S")}'
             ).with_suffix(recordfilename.suffix)
-    print(stats)
     file_dump_json(filename, stats)
 
     latest_filename = Path.joinpath(filename.parent, LAST_BT_RESULT_FN)
diff --git a/tests/optimize/test_optimize_reports.py b/tests/optimize/test_optimize_reports.py
index e5d98ca43..4f62e2e23 100644
--- a/tests/optimize/test_optimize_reports.py
+++ b/tests/optimize/test_optimize_reports.py
@@ -204,6 +204,14 @@ def test_generate_daily_stats(testdatadir):
     assert res['winner_holding_avg'] == timedelta(seconds=1440)
     assert res['loser_holding_avg'] == timedelta(days=1, seconds=21420)
 
+    # Select empty dataframe!
+    res = generate_daily_stats(bt_data.loc[bt_data['open_date'] == '2000-01-01', :])
+    assert isinstance(res, dict)
+    assert round(res['backtest_best_day'], 4) == 0.0
+    assert res['winning_days'] == 0
+    assert res['draw_days'] == 0
+    assert res['losing_days'] == 0
+
 
 def test_text_table_sell_reason(default_conf):
 

From fa0c8fa0b332e144556851cde5de218bca77f56d Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 21 Aug 2020 14:26:23 +0200
Subject: [PATCH 215/244] Readd note about windows hyperopt color output

---
 docs/hyperopt.md | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/docs/hyperopt.md b/docs/hyperopt.md
index 9acb606c3..6330a1a5e 100644
--- a/docs/hyperopt.md
+++ b/docs/hyperopt.md
@@ -370,6 +370,9 @@ By default, hyperopt prints colorized results -- epochs with positive profit are
 
 You can use the `--print-all` command line option if you would like to see all results in the hyperopt output, not only the best ones. When `--print-all` is used, current best results are also colorized by default -- they are printed in bold (bright) style. This can also be switched off with the `--no-color` command line option.
 
+!!! Note "Windows and color output"
+    Windows does not support color-output nativly, therefore it is automatically disabled. To have color-output for hyperopt running under windows, please consider using WSL.
+
 ### Understand Hyperopt ROI results
 
 If you are optimizing ROI (i.e. if optimization search-space contains 'all', 'default' or 'roi'), your result will look as follows and include a ROI table:

From 3d93236709f93e0380659e074e2b44c518a1cc11 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Fri, 21 Aug 2020 14:55:47 +0200
Subject: [PATCH 216/244] Remove unused import

---
 freqtrade/optimize/hyperopt.py | 1 -
 1 file changed, 1 deletion(-)

diff --git a/freqtrade/optimize/hyperopt.py b/freqtrade/optimize/hyperopt.py
index 3e7e2ca57..b9db3c09a 100644
--- a/freqtrade/optimize/hyperopt.py
+++ b/freqtrade/optimize/hyperopt.py
@@ -12,7 +12,6 @@ import warnings
 from collections import OrderedDict
 from math import ceil
 from operator import itemgetter
-from os import path
 from pathlib import Path
 from pprint import pformat
 from typing import Any, Dict, List, Optional

From 0e368b16aba83de72328b52f1e867d6ee5c9bcd1 Mon Sep 17 00:00:00 2001
From: Fredrik81 
Date: Fri, 21 Aug 2020 18:25:45 +0200
Subject: [PATCH 217/244] Update stoploss.md

---
 docs/stoploss.md | 34 ++++++++++++++++------------------
 1 file changed, 16 insertions(+), 18 deletions(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 2595a3f55..2518df846 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -6,8 +6,8 @@ For example, value `-0.10` will cause immediate sell if the profit dips below -1
 Most of the strategy files already include the optimal `stoploss` value.
 
 !!! Info
-    All stoploss properties mentioned in this file can be set in the Strategy, or in the configuration.  
-    Configuration values will override the strategy values.
+*   All stoploss properties mentioned in this file can be set in the Strategy, or in the configuration.  
+*   Configuration values will override the strategy values.
 
 ## Stop Loss On-Exchange/Freqtrade
 
@@ -22,35 +22,33 @@ These modes can be configured with these values:
     'stoploss_on_exchange_limit_ratio': 0.99
 ```
 
+!!! Note
+*   Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.  
+*   Do not set too low stoploss value if using stop loss on exchange!  
+*   If set to low/tight then you have greater risk of missing fill on the order and stoploss will not work
+
 ### stoploss_on_exchange and stoploss_on_exchange_limit_ratio
 Enable or Disable stop loss on exchange.
 If the stoploss is *on exchange* it means a stoploss limit order is placed on the exchange immediately after buy order happens successfully. This will protect you against sudden crashes in market as the order will be in the queue immediately and if market goes down then the order has more chance of being fulfilled.
 
-If `stoploss_on_exchange` uses limit orders, the exchange needs 2 prices, the stoploss_price and the Limit price.
-`stoploss` defines the stop-price - and limit should be slightly below this.  
-If an exchange supports both limit and market stoploss orders, then the value of `stoploss` will be used to determine the stoploss type.
+If `stoploss_on_exchange` uses limit orders, the exchange needs 2 prices, the stoploss_price and the Limit price.  
+`stoploss` defines the stop-price where the limit order is placed - and limit should be slightly below this.  
+If an exchange supports both limit and market stoploss orders, then the value of `stoploss` will be used to determine the stoploss type.  
 
-If `stoploss_on_exchange` fails to fill we can use `stoploss_on_exchange_limit_ratio` that defaults to 0.99 / 1% to perform an [emergency sell](#emergencysell).
-Calculation example: we bought the asset at 100$.
-Stop-price is 95$, then limit would be `95 * 0.99 = 94.05$` - so the stoploss(emergency sell) will happen between 95$ and 94.05$.
+Calculation example: we bought the asset at 100$.  
+Stop-price is 95$, then limit would be `95 * 0.99 = 94.05$` - so the limit order fill can happen between 95$ and 94.05$.  
 
 For example, assuming the stoploss is on exchange, and trailing stoploss is enabled, and the market is going up, then the bot automatically cancels the previous stoploss order and puts a new one with a stop value higher than the previous stoploss order.
 
 ### stoploss_on_exchange_interval
-In case of stoploss on exchange there is another parameter called `stoploss_on_exchange_interval`. This configures the interval in seconds at which the bot will check the stoploss and update it if necessary.
+In case of stoploss on exchange there is another parameter called `stoploss_on_exchange_interval`. This configures the interval in seconds at which the bot will check the stoploss and update it if necessary.  
 The bot cannot do these every 5 seconds (at each iteration), otherwise it would get banned by the exchange.
 So this parameter will tell the bot how often it should update the stoploss order. The default value is 60 (1 minute).
 This same logic will reapply a stoploss order on the exchange should you cancel it accidentally.
 
 ### emergencysell
 `emergencysell` is an optional value, which defaults to `market` and is used when creating stop loss on exchange orders fails.
-The below is the default which is used if this is not configured in either strategy or configuration file.
-
-!!! Note
-    Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.  
-    Do not set too low stoploss value if using stop loss on exchange!  
-*   If set to low/tight then you have greater risk of missing fill on the order and stoploss will not work
-
+The below is the default which is used if not changed in strategy or configuration file.
 
 Example from strategy file:
 
@@ -119,7 +117,7 @@ It is also possible to have a default stop loss, when you are in the red with yo
 For example, your default stop loss is -10%, but once you have more than 0% profit (example 0.1%) a different trailing stoploss will be used.
 
 !!! Note
-    If you want the stoploss to only be changed when you break even of making a profit (what most users want) please refer to next section with [offset enabled](#Trailing-stop-loss-only-once-the-trade-has-reached-a-certain-offset).
+*   If you want the stoploss to only be changed when you break even of making a profit (what most users want) please refer to next section with [offset enabled](#Trailing-stop-loss-only-once-the-trade-has-reached-a-certain-offset).
 
 Both values require `trailing_stop` to be set to true and `trailing_stop_positive` with a value.
 
@@ -174,7 +172,7 @@ For example, simplified math:
 * now the asset drops in value to 101$, the stop loss will still be 100.94$ and would trigger at 100.94$
 
 !!! Tip
-    Make sure to have this value (`trailing_stop_positive_offset`) lower than minimal ROI, otherwise minimal ROI will apply first and sell the trade.
+*   Make sure to have this value (`trailing_stop_positive_offset`) lower than minimal ROI, otherwise minimal ROI will apply first and sell the trade.
 
 ## Changing stoploss on open trades
 

From 637147f89c59a5fe431cd6d0f91f54345922c875 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 22 Aug 2020 09:33:35 +0200
Subject: [PATCH 218/244] Update sql cheatsheet parentheses

---
 docs/sql_cheatsheet.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/sql_cheatsheet.md b/docs/sql_cheatsheet.md
index 748b16928..cf785ced6 100644
--- a/docs/sql_cheatsheet.md
+++ b/docs/sql_cheatsheet.md
@@ -110,7 +110,7 @@ SET is_open=0,
   close_date=,
   close_rate=,
   close_profit = close_rate / open_rate - 1,
-  close_profit_abs = (amount *  * (1 - fee_close) - (amount * (open_rate * 1 - fee_open))),
+  close_profit_abs = (amount *  * (1 - fee_close) - (amount * (open_rate * (1 - fee_open)))),
   sell_reason=
 WHERE id=;
 ```
@@ -123,7 +123,7 @@ SET is_open=0,
   close_date='2020-06-20 03:08:45.103418',
   close_rate=0.19638016,
   close_profit=0.0496,
-  close_profit_abs = (amount * 0.19638016 * (1 - fee_close) - (amount * open_rate * (1 - fee_open))),
+  close_profit_abs = (amount * 0.19638016 * (1 - fee_close) - (amount * (open_rate * (1 - fee_open)))),
   sell_reason='force_sell'  
 WHERE id=31;
 ```

From d8a6410fd145d38a01f40b5cbc3757f76db2ea2c Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sun, 23 Aug 2020 09:00:57 +0200
Subject: [PATCH 219/244] Fix small bug when using max-open-trades -1 in
 backtesting

---
 freqtrade/optimize/optimize_reports.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/freqtrade/optimize/optimize_reports.py b/freqtrade/optimize/optimize_reports.py
index 94729b6a5..b5e5da4af 100644
--- a/freqtrade/optimize/optimize_reports.py
+++ b/freqtrade/optimize/optimize_reports.py
@@ -273,7 +273,8 @@ def generate_backtest_stats(config: Dict, btdata: Dict[str, DataFrame],
             'pairlist': list(btdata.keys()),
             'stake_amount': config['stake_amount'],
             'stake_currency': config['stake_currency'],
-            'max_open_trades': config['max_open_trades'],
+            'max_open_trades': (config['max_open_trades']
+                                if config['max_open_trades'] != float('inf') else -1),
             'timeframe': config['timeframe'],
             **daily_stats,
         }

From 2701a7cb12ce57769ad79cd0b52a38cb27ad87df Mon Sep 17 00:00:00 2001
From: Martin Schultheiss 
Date: Sun, 23 Aug 2020 09:11:34 +0200
Subject: [PATCH 220/244] update bad exchanges

---
 freqtrade/exchange/common.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/freqtrade/exchange/common.py b/freqtrade/exchange/common.py
index 3bba9be72..7f6dfe0eb 100644
--- a/freqtrade/exchange/common.py
+++ b/freqtrade/exchange/common.py
@@ -16,6 +16,7 @@ BAD_EXCHANGES = {
                 "Details in https://github.com/freqtrade/freqtrade/issues/1983",
     "hitbtc": "This API cannot be used with Freqtrade. "
               "Use `hitbtc2` exchange id to access this exchange.",
+    "phemex": "Does not provide history. ",
     **dict.fromkeys([
         'adara',
         'anxpro',

From 73417f11f1db843244ac321d91beaaf88ae30c83 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sun, 23 Aug 2020 09:11:52 +0200
Subject: [PATCH 221/244] Fix rendering issue on readthedocs

---
 docs/stoploss.md | 14 +++++++-------
 1 file changed, 7 insertions(+), 7 deletions(-)

diff --git a/docs/stoploss.md b/docs/stoploss.md
index 2518df846..fa888cd47 100644
--- a/docs/stoploss.md
+++ b/docs/stoploss.md
@@ -6,8 +6,8 @@ For example, value `-0.10` will cause immediate sell if the profit dips below -1
 Most of the strategy files already include the optimal `stoploss` value.
 
 !!! Info
-*   All stoploss properties mentioned in this file can be set in the Strategy, or in the configuration.  
-*   Configuration values will override the strategy values.
+    All stoploss properties mentioned in this file can be set in the Strategy, or in the configuration.  
+    Configuration values will override the strategy values.
 
 ## Stop Loss On-Exchange/Freqtrade
 
@@ -23,9 +23,9 @@ These modes can be configured with these values:
 ```
 
 !!! Note
-*   Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.  
-*   Do not set too low stoploss value if using stop loss on exchange!  
-*   If set to low/tight then you have greater risk of missing fill on the order and stoploss will not work
+    Stoploss on exchange is only supported for Binance (stop-loss-limit), Kraken (stop-loss-market) and FTX (stop limit and stop-market) as of now.  
+    Do not set too low stoploss value if using stop loss on exchange!  
+    If set to low/tight then you have greater risk of missing fill on the order and stoploss will not work
 
 ### stoploss_on_exchange and stoploss_on_exchange_limit_ratio
 Enable or Disable stop loss on exchange.
@@ -117,7 +117,7 @@ It is also possible to have a default stop loss, when you are in the red with yo
 For example, your default stop loss is -10%, but once you have more than 0% profit (example 0.1%) a different trailing stoploss will be used.
 
 !!! Note
-*   If you want the stoploss to only be changed when you break even of making a profit (what most users want) please refer to next section with [offset enabled](#Trailing-stop-loss-only-once-the-trade-has-reached-a-certain-offset).
+    If you want the stoploss to only be changed when you break even of making a profit (what most users want) please refer to next section with [offset enabled](#Trailing-stop-loss-only-once-the-trade-has-reached-a-certain-offset).
 
 Both values require `trailing_stop` to be set to true and `trailing_stop_positive` with a value.
 
@@ -172,7 +172,7 @@ For example, simplified math:
 * now the asset drops in value to 101$, the stop loss will still be 100.94$ and would trigger at 100.94$
 
 !!! Tip
-*   Make sure to have this value (`trailing_stop_positive_offset`) lower than minimal ROI, otherwise minimal ROI will apply first and sell the trade.
+    Make sure to have this value (`trailing_stop_positive_offset`) lower than minimal ROI, otherwise minimal ROI will apply first and sell the trade.
 
 ## Changing stoploss on open trades
 

From 05ec56d906b025f15032f513a1b68b4c2fec44fb Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sun, 23 Aug 2020 10:16:28 +0200
Subject: [PATCH 222/244] Dates should be changed to UTC to provide the correct
 timestamp

---
 freqtrade/persistence.py | 11 ++++++-----
 1 file changed, 6 insertions(+), 5 deletions(-)

diff --git a/freqtrade/persistence.py b/freqtrade/persistence.py
index 28753ed48..9eebadd8d 100644
--- a/freqtrade/persistence.py
+++ b/freqtrade/persistence.py
@@ -2,7 +2,7 @@
 This module contains the class to persist trades into SQLite
 """
 import logging
-from datetime import datetime
+from datetime import datetime, timezone
 from decimal import Decimal
 from typing import Any, Dict, List, Optional
 
@@ -274,7 +274,7 @@ class Trade(_DECL_BASE):
 
             'open_date_hum': arrow.get(self.open_date).humanize(),
             'open_date': self.open_date.strftime("%Y-%m-%d %H:%M:%S"),
-            'open_timestamp': int(self.open_date.timestamp() * 1000),
+            'open_timestamp': int(self.open_date.replace(tzinfo=timezone.utc).timestamp() * 1000),
             'open_rate': self.open_rate,
             'open_rate_requested': self.open_rate_requested,
             'open_trade_price': round(self.open_trade_price, 8),
@@ -283,7 +283,8 @@ class Trade(_DECL_BASE):
                                if self.close_date else None),
             'close_date': (self.close_date.strftime("%Y-%m-%d %H:%M:%S")
                            if self.close_date else None),
-            'close_timestamp': int(self.close_date.timestamp() * 1000) if self.close_date else None,
+            'close_timestamp': int(self.close_date.replace(
+                tzinfo=timezone.utc).timestamp() * 1000) if self.close_date else None,
             'close_rate': self.close_rate,
             'close_rate_requested': self.close_rate_requested,
             'close_profit': self.close_profit,
@@ -298,8 +299,8 @@ class Trade(_DECL_BASE):
             'stoploss_order_id': self.stoploss_order_id,
             'stoploss_last_update': (self.stoploss_last_update.strftime("%Y-%m-%d %H:%M:%S")
                                      if self.stoploss_last_update else None),
-            'stoploss_last_update_timestamp': (int(self.stoploss_last_update.timestamp() * 1000)
-                                               if self.stoploss_last_update else None),
+            'stoploss_last_update_timestamp': int(self.stoploss_last_update.replace(
+                tzinfo=timezone.utc).timestamp() * 1000) if self.stoploss_last_update else None,
             'initial_stop_loss': self.initial_stop_loss,  # Deprecated - should not be used
             'initial_stop_loss_abs': self.initial_stop_loss,
             'initial_stop_loss_ratio': (self.initial_stop_loss_pct

From ec949614374925d076febb3c140fc22aa4cedea9 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sun, 23 Aug 2020 19:14:28 +0200
Subject: [PATCH 223/244] Reduce loglevel of "using cached rate"

---
 freqtrade/freqtradebot.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py
index 2a95f58fc..2fcb9f3f9 100644
--- a/freqtrade/freqtradebot.py
+++ b/freqtrade/freqtradebot.py
@@ -275,7 +275,7 @@ class FreqtradeBot:
             rate = self._buy_rate_cache.get(pair)
             # Check if cache has been invalidated
             if rate:
-                logger.info(f"Using cached buy rate for {pair}.")
+                logger.debug(f"Using cached buy rate for {pair}.")
                 return rate
 
         bid_strategy = self.config.get('bid_strategy', {})
@@ -693,7 +693,7 @@ class FreqtradeBot:
             rate = self._sell_rate_cache.get(pair)
             # Check if cache has been invalidated
             if rate:
-                logger.info(f"Using cached sell rate for {pair}.")
+                logger.debug(f"Using cached sell rate for {pair}.")
                 return rate
 
         ask_strategy = self.config.get('ask_strategy', {})

From a55dd8444df6c07fae14d467efc8006ae869b341 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sun, 23 Aug 2020 19:31:35 +0200
Subject: [PATCH 224/244] Fix loglevel of using_cached-rate

---
 tests/test_freqtradebot.py | 4 ++++
 1 file changed, 4 insertions(+)

diff --git a/tests/test_freqtradebot.py b/tests/test_freqtradebot.py
index c6413cb5d..0d7968e26 100644
--- a/tests/test_freqtradebot.py
+++ b/tests/test_freqtradebot.py
@@ -953,6 +953,7 @@ def test_process_informative_pairs_added(default_conf, ticker, mocker) -> None:
 ])
 def test_get_buy_rate(mocker, default_conf, caplog, side, ask, bid,
                       last, last_ab, expected) -> None:
+    caplog.set_level(logging.DEBUG)
     default_conf['bid_strategy']['ask_last_balance'] = last_ab
     default_conf['bid_strategy']['price_side'] = side
     freqtrade = get_patched_freqtradebot(mocker, default_conf)
@@ -3969,6 +3970,8 @@ def test_order_book_ask_strategy(default_conf, limit_buy_order, limit_sell_order
     ('ask', 0.006, 1.0, 0.006),
 ])
 def test_get_sell_rate(default_conf, mocker, caplog, side, bid, ask, expected) -> None:
+    caplog.set_level(logging.DEBUG)
+
     default_conf['ask_strategy']['price_side'] = side
     mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', return_value={'ask': ask, 'bid': bid})
     pair = "ETH/BTC"
@@ -3990,6 +3993,7 @@ def test_get_sell_rate(default_conf, mocker, caplog, side, bid, ask, expected) -
     ('ask', 0.043949),  # Value from order_book_l2 fiture - asks side
 ])
 def test_get_sell_rate_orderbook(default_conf, mocker, caplog, side, expected, order_book_l2):
+    caplog.set_level(logging.DEBUG)
     # Test orderbook mode
     default_conf['ask_strategy']['price_side'] = side
     default_conf['ask_strategy']['use_order_book'] = True

From 8940ba828f621963528578defe7c34f7cf48eb3c Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sun, 23 Aug 2020 21:12:08 +0200
Subject: [PATCH 225/244] Update sandbox documentation

---
 docs/sandbox-testing.md | 150 ++++++++++++++--------------------------
 1 file changed, 51 insertions(+), 99 deletions(-)

diff --git a/docs/sandbox-testing.md b/docs/sandbox-testing.md
index 7f3457d15..bb075217f 100644
--- a/docs/sandbox-testing.md
+++ b/docs/sandbox-testing.md
@@ -1,104 +1,59 @@
 # Sandbox API testing
 
-Where an exchange provides a sandbox for risk-free integration, or end-to-end, testing CCXT provides access to these.
+Some exchanges provide sandboxes or testbeds for risk-free testing, while running the bot against a real exchange.
+With some configuration, freqtrade (in combination with ccxt) provides access to these.
 
-This document is a *light overview of configuring Freqtrade and GDAX sandbox.
-This can be useful to developers and trader alike as Freqtrade is quite customisable.
+This document is a light overview of configuring Freqtrade to be used with sandboxes.
+This can be useful to developers and trader alike.
+
+## Exchanges known to have a sandbox / testnet
+
+* [binance](https://testnet.binance.vision/)
+* [coinbasepro](https://public.sandbox.pro.coinbase.com)
+* [gemini](https://exchange.sandbox.gemini.com/)
+* [huobipro](https://www.testnet.huobi.pro/)
+* [kucoin](https://sandbox.kucoin.com/)
+* [phemex](https://testnet.phemex.com/) 
+
+!!! Note
+    We did not test correct functioning of all of the above testnets. Please report your experiences with each sandbox.
+
+---
+
+## Configure a Sandbox account
 
 When testing your API connectivity, make sure to use the following URLs.
-***Website**
-https://public.sandbox.gdax.com
-***REST API**
-https://api-public.sandbox.gdax.com
 
----
+In general, you should follow these steps to enable an exchange's sandbox:
 
-# Configure a Sandbox account on Gdax
+- Figure out if an exchange has a sandbox (most likely by using google or the exchange's support documents)
+- Create a sandbox account (often the sandbox-account requires separate registration)
+- [Add some test assets to account](#add-test-funds)
+- Create API keys
 
-Aim of this document section
+### Add test funds
 
-- An sanbox account
-- create 2FA (needed to create an API)
-- Add test 50BTC to account 
-- Create :
-- - API-KEY
-- - API-Secret
-- - API Password
+Usually, sandbox exchanges allow depositing funds directly via web-interface.
+You should make sure to have a realistic amount of funds available to your test-account, so results are representable of your real account funds.
 
-## Acccount
+!!! Warning
+    Test exchanges will NEVER require your real credit card or banking details!
 
-This link will redirect to the sandbox main page to login / create account dialogues:
-https://public.sandbox.pro.coinbase.com/orders/
+## Configure freqtrade to use a exchange's sandbox
 
-After registration and Email confimation you wil be redirected into your sanbox account.  It is easy to verify you're in sandbox by checking the URL bar.
-> https://public.sandbox.pro.coinbase.com/
-
-## Enable 2Fa (a prerequisite to creating sandbox API Keys)
-
-From within sand box site select your profile, top right.
->Or as a direct link: https://public.sandbox.pro.coinbase.com/profile
-
-From the menu panel to the left of the screen select
-
-> Security: "*View or Update*"
-
-In the new site select "enable authenticator" as typical google Authenticator.
-
-- open Google Authenticator on your phone
-- scan barcode
-- enter your generated 2fa
-
-## Enable API Access
-
-From within sandbox select profile>api>create api-keys
->or as a direct link: https://public.sandbox.pro.coinbase.com/profile/api
-
-Click on "create one" and ensure  **view** and **trade**  are "checked" and sumbit your 2FA
-
-- **Copy and paste the Passphase** into a notepade this will be needed later
-- **Copy and paste the API Secret** popup into a notepad this will needed later
-- **Copy and paste the API Key** into a notepad this will needed later
-
-## Add 50 BTC test funds
-
-To add funds, use the web interface deposit and withdraw buttons.
-
-To begin select 'Wallets' from the top menu.
-> Or as a direct link: https://public.sandbox.pro.coinbase.com/wallets
-
-- Deposits (bottom left of screen)
-- - Deposit Funds Bitcoin
-- - - Coinbase BTC Wallet
-- - - - Max (50 BTC)
-- - - - - Deposit
-
-*This process may be repeated for other currencies, ETH as example*
-
----
-
-# Configure Freqtrade to use Gax Sandbox 
-
-The aim of this document section
-
-- Enable sandbox URLs in Freqtrade
-- Configure API
-- - secret
-- - key
-- - passphrase
- 
-## Sandbox URLs
+### Sandbox URLs
 
 Freqtrade makes use of CCXT which in turn provides a list of URLs to Freqtrade.
 These include `['test']` and `['api']`.
 
-- `[Test]` if available will point to an Exchanges sandbox. 
-- `[Api]` normally used, and resolves to live API target on the exchange 
+- `[Test]` if available will point to an Exchanges sandbox.
+- `[Api]` normally used, and resolves to live API target on the exchange.
 
 To make use of sandbox / test add "sandbox": true, to your config.json
 
 ```json
   "exchange": {
-        "name": "gdax",
+        "name": "coinbasepro",
         "sandbox": true,
         "key": "5wowfxemogxeowo;heiohgmd",
         "secret": "/ZMH1P62rCVmwefewrgcewX8nh4gob+lywxfwfxwwfxwfNsH1ySgvWCUR/w==",
@@ -106,36 +61,33 @@ To make use of sandbox / test add "sandbox": true, to your config.json
         "outdated_offset": 5
         "pair_whitelist": [
             "BTC/USD"
+        ]
+  },
+  "datadir": "user_data/data/coinbasepro_sandbox"
 ```
 
-Also insert your 
+Also the following information:
 
-- api-key  (noted earlier)
+- api-key (created for the sandbox webpage)
 - api-secret (noted earlier)
 - password (the passphrase - noted earlier)
 
+!!! Tip "Different data directory"
+    We also recommend to set `datadir` to something identifying downloaded data as sandbox data, to avoid having sandbox data mixed with data from the real exchange.
+    This can be done by adding the `"datadir"` key to the configuration.
+    Now, whenever you use this configuration, your data directory will be set to this directory.
+
 ---
 
 ## You should now be ready to test your sandbox
 
-Ensure Freqtrade logs show the sandbox URL, and trades made are shown in sandbox.
-** Typically the  BTC/USD has the most activity in sandbox to test against.
+Ensure Freqtrade logs show the sandbox URL, and trades made are shown in sandbox. Also make sure to select a pair which shows at least some decent value (which very often is BTC/).
 
-## GDAX - Old Candles problem
+## Common problems with sandbox exchanges
 
-It is my experience that GDAX sandbox candles may be 20+- minutes out of date. This can cause trades to fail as one of Freqtrades safety checks.
+Sandbox exchange instances often have very low volume, which can cause some problems which usually are not seen on a real exchange instance.
 
-To disable this check, add / change the `"outdated_offset"` parameter in the exchange section of your configuration to adjust for this delay.
-Example based on the above configuration:
+### Old Candles problem
 
-```json
-  "exchange": {
-        "name": "gdax",
-        "sandbox": true,
-        "key": "5wowfxemogxeowo;heiohgmd",
-        "secret": "/ZMH1P62rCVmwefewrgcewX8nh4gob+lywxfwfxwwfxwfNsH1ySgvWCUR/w==",
-        "password": "1bkjfkhfhfu6sr",
-        "outdated_offset": 30
-        "pair_whitelist": [
-            "BTC/USD"
-```
+Since Sandboxes often have low volume, candles can be quite old and show no volume.
+To disable the error "Outdated history for pair ...", best increase the parameter `"outdated_offset"` to a number that seems realistic for the sandbox you're using.

From 8478e083dc6e3e0ec40721c71c580500ef2484fb Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sun, 23 Aug 2020 21:16:44 +0200
Subject: [PATCH 226/244] Improve wording of sandbox documentation

---
 docs/sandbox-testing.md | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/docs/sandbox-testing.md b/docs/sandbox-testing.md
index bb075217f..9556dd014 100644
--- a/docs/sandbox-testing.md
+++ b/docs/sandbox-testing.md
@@ -3,7 +3,7 @@
 Some exchanges provide sandboxes or testbeds for risk-free testing, while running the bot against a real exchange.
 With some configuration, freqtrade (in combination with ccxt) provides access to these.
 
-This document is a light overview of configuring Freqtrade to be used with sandboxes.
+This document is an overview to configure Freqtrade to be used with sandboxes.
 This can be useful to developers and trader alike.
 
 ## Exchanges known to have a sandbox / testnet
@@ -22,14 +22,14 @@ This can be useful to developers and trader alike.
 
 ## Configure a Sandbox account
 
-When testing your API connectivity, make sure to use the following URLs.
+When testing your API connectivity, make sure to use the appropriate sandbox / testnet URL.
 
 In general, you should follow these steps to enable an exchange's sandbox:
 
-- Figure out if an exchange has a sandbox (most likely by using google or the exchange's support documents)
-- Create a sandbox account (often the sandbox-account requires separate registration)
-- [Add some test assets to account](#add-test-funds)
-- Create API keys
+* Figure out if an exchange has a sandbox (most likely by using google or the exchange's support documents)
+* Create a sandbox account (often the sandbox-account requires separate registration)
+* [Add some test assets to account](#add-test-funds)
+* Create API keys
 
 ### Add test funds
 
@@ -37,7 +37,7 @@ Usually, sandbox exchanges allow depositing funds directly via web-interface.
 You should make sure to have a realistic amount of funds available to your test-account, so results are representable of your real account funds.
 
 !!! Warning
-    Test exchanges will NEVER require your real credit card or banking details!
+    Test exchanges will **NEVER** require your real credit card or banking details!
 
 ## Configure freqtrade to use a exchange's sandbox
 
@@ -46,8 +46,8 @@ You should make sure to have a realistic amount of funds available to your test-
 Freqtrade makes use of CCXT which in turn provides a list of URLs to Freqtrade.
 These include `['test']` and `['api']`.
 
-- `[Test]` if available will point to an Exchanges sandbox.
-- `[Api]` normally used, and resolves to live API target on the exchange.
+* `[Test]` if available will point to an Exchanges sandbox.
+* `[Api]` normally used, and resolves to live API target on the exchange.
 
 To make use of sandbox / test add "sandbox": true, to your config.json
 
@@ -68,9 +68,9 @@ To make use of sandbox / test add "sandbox": true, to your config.json
 
 Also the following information:
 
-- api-key (created for the sandbox webpage)
-- api-secret (noted earlier)
-- password (the passphrase - noted earlier)
+* api-key (created for the sandbox webpage)
+* api-secret (noted earlier)
+* password (the passphrase - noted earlier)
 
 !!! Tip "Different data directory"
     We also recommend to set `datadir` to something identifying downloaded data as sandbox data, to avoid having sandbox data mixed with data from the real exchange.

From 5799cc51f28bf06f9b7f208250b9169d454d3162 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 24 Aug 2020 06:44:50 +0000
Subject: [PATCH 227/244] Bump mkdocs-material from 5.5.7 to 5.5.8

Bumps [mkdocs-material](https://github.com/squidfunk/mkdocs-material) from 5.5.7 to 5.5.8.
- [Release notes](https://github.com/squidfunk/mkdocs-material/releases)
- [Changelog](https://github.com/squidfunk/mkdocs-material/blob/master/docs/changelog.md)
- [Commits](https://github.com/squidfunk/mkdocs-material/compare/5.5.7...5.5.8)

Signed-off-by: dependabot[bot] 
---
 docs/requirements-docs.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/requirements-docs.txt b/docs/requirements-docs.txt
index ab5aebb79..5226db750 100644
--- a/docs/requirements-docs.txt
+++ b/docs/requirements-docs.txt
@@ -1,2 +1,2 @@
-mkdocs-material==5.5.7
+mkdocs-material==5.5.8
 mdx_truly_sane_lists==1.2

From 4c48fe96edbc1e2528f980e1a0cc8c3e73b0c24d Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 24 Aug 2020 06:44:52 +0000
Subject: [PATCH 228/244] Bump pytest-mock from 3.2.0 to 3.3.0

Bumps [pytest-mock](https://github.com/pytest-dev/pytest-mock) from 3.2.0 to 3.3.0.
- [Release notes](https://github.com/pytest-dev/pytest-mock/releases)
- [Changelog](https://github.com/pytest-dev/pytest-mock/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/pytest-dev/pytest-mock/compare/v3.2.0...v3.3.0)

Signed-off-by: dependabot[bot] 
---
 requirements-dev.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements-dev.txt b/requirements-dev.txt
index 3c10fe445..1f5b68a73 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -11,7 +11,7 @@ mypy==0.782
 pytest==6.0.1
 pytest-asyncio==0.14.0
 pytest-cov==2.10.1
-pytest-mock==3.2.0
+pytest-mock==3.3.0
 pytest-random-order==1.0.4
 
 # Convert jupyter notebooks to markdown documents

From 74c97369d9f6a57e577672ab6a6ba6803432b6f2 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 24 Aug 2020 06:44:54 +0000
Subject: [PATCH 229/244] Bump arrow from 0.15.8 to 0.16.0

Bumps [arrow](https://github.com/arrow-py/arrow) from 0.15.8 to 0.16.0.
- [Release notes](https://github.com/arrow-py/arrow/releases)
- [Changelog](https://github.com/arrow-py/arrow/blob/master/CHANGELOG.rst)
- [Commits](https://github.com/arrow-py/arrow/compare/0.15.8...0.16.0)

Signed-off-by: dependabot[bot] 
---
 requirements-common.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements-common.txt b/requirements-common.txt
index 712cf820d..7f81d6265 100644
--- a/requirements-common.txt
+++ b/requirements-common.txt
@@ -3,7 +3,7 @@
 ccxt==1.33.18
 SQLAlchemy==1.3.18
 python-telegram-bot==12.8
-arrow==0.15.8
+arrow==0.16.0
 cachetools==4.1.1
 requests==2.24.0
 urllib3==1.25.10

From 0e20b8f530f3b93cfb2eb0e70a969aaf52b5dbec Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 24 Aug 2020 06:45:12 +0000
Subject: [PATCH 230/244] Bump ccxt from 1.33.18 to 1.33.52

Bumps [ccxt](https://github.com/ccxt/ccxt) from 1.33.18 to 1.33.52.
- [Release notes](https://github.com/ccxt/ccxt/releases)
- [Changelog](https://github.com/ccxt/ccxt/blob/master/doc/exchanges-by-country.rst)
- [Commits](https://github.com/ccxt/ccxt/compare/1.33.18...1.33.52)

Signed-off-by: dependabot[bot] 
---
 requirements-common.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements-common.txt b/requirements-common.txt
index 712cf820d..3cd764693 100644
--- a/requirements-common.txt
+++ b/requirements-common.txt
@@ -1,6 +1,6 @@
 # requirements without requirements installable via conda
 # mainly used for Raspberry pi installs
-ccxt==1.33.18
+ccxt==1.33.52
 SQLAlchemy==1.3.18
 python-telegram-bot==12.8
 arrow==0.15.8

From f22fc8ef3ee05e39c00aec8d84914fa2f487aa5d Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 24 Aug 2020 06:45:20 +0000
Subject: [PATCH 231/244] Bump pandas from 1.1.0 to 1.1.1

Bumps [pandas](https://github.com/pandas-dev/pandas) from 1.1.0 to 1.1.1.
- [Release notes](https://github.com/pandas-dev/pandas/releases)
- [Changelog](https://github.com/pandas-dev/pandas/blob/master/RELEASE.md)
- [Commits](https://github.com/pandas-dev/pandas/compare/v1.1.0...v1.1.1)

Signed-off-by: dependabot[bot] 
---
 requirements.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index d65f90325..66f4cbc5f 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,4 +2,4 @@
 -r requirements-common.txt
 
 numpy==1.19.1
-pandas==1.1.0
+pandas==1.1.1

From 7ece7294b2a0d7431cea91a674b785bc3bd0e7c7 Mon Sep 17 00:00:00 2001
From: "dependabot[bot]" <49699333+dependabot[bot]@users.noreply.github.com>
Date: Mon, 24 Aug 2020 07:18:00 +0000
Subject: [PATCH 232/244] Bump sqlalchemy from 1.3.18 to 1.3.19

Bumps [sqlalchemy](https://github.com/sqlalchemy/sqlalchemy) from 1.3.18 to 1.3.19.
- [Release notes](https://github.com/sqlalchemy/sqlalchemy/releases)
- [Changelog](https://github.com/sqlalchemy/sqlalchemy/blob/master/CHANGES)
- [Commits](https://github.com/sqlalchemy/sqlalchemy/commits)

Signed-off-by: dependabot[bot] 
---
 requirements-common.txt | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/requirements-common.txt b/requirements-common.txt
index 27a233604..b6e2d329f 100644
--- a/requirements-common.txt
+++ b/requirements-common.txt
@@ -1,7 +1,7 @@
 # requirements without requirements installable via conda
 # mainly used for Raspberry pi installs
 ccxt==1.33.52
-SQLAlchemy==1.3.18
+SQLAlchemy==1.3.19
 python-telegram-bot==12.8
 arrow==0.16.0
 cachetools==4.1.1

From c272944834b73f6705ab92d6eef1e956e3666cb0 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Mon, 24 Aug 2020 11:09:09 +0200
Subject: [PATCH 233/244] Lock pair until a new candle arrives

---
 freqtrade/freqtradebot.py        |  5 ++--
 freqtrade/strategy/interface.py  | 20 +++++++++------
 tests/strategy/test_interface.py | 43 ++++++++++++++++++++------------
 3 files changed, 42 insertions(+), 26 deletions(-)

diff --git a/freqtrade/freqtradebot.py b/freqtrade/freqtradebot.py
index 2fcb9f3f9..eee60cc22 100644
--- a/freqtrade/freqtradebot.py
+++ b/freqtrade/freqtradebot.py
@@ -433,7 +433,9 @@ class FreqtradeBot:
         """
         logger.debug(f"create_trade for pair {pair}")
 
-        if self.strategy.is_pair_locked(pair):
+        analyzed_df, _ = self.dataprovider.get_analyzed_dataframe(pair, self.strategy.timeframe)
+        if self.strategy.is_pair_locked(
+                pair, analyzed_df.iloc[-1]['date'] if len(analyzed_df) > 0 else None):
             logger.info(f"Pair {pair} is currently locked.")
             return False
 
@@ -444,7 +446,6 @@ class FreqtradeBot:
             return False
 
         # running get_signal on historical data fetched
-        analyzed_df, _ = self.dataprovider.get_analyzed_dataframe(pair, self.strategy.timeframe)
         (buy, sell) = self.strategy.get_signal(pair, self.strategy.timeframe, analyzed_df)
 
         if buy and not sell:
diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py
index efc4b8430..4a3a78c8f 100644
--- a/freqtrade/strategy/interface.py
+++ b/freqtrade/strategy/interface.py
@@ -2,6 +2,7 @@
 IStrategy interface
 This module defines the interface to apply for strategies
 """
+from freqtrade.exchange.exchange import timeframe_to_next_date
 import logging
 import warnings
 from abc import ABC, abstractmethod
@@ -297,13 +298,22 @@ class IStrategy(ABC):
         if pair in self._pair_locked_until:
             del self._pair_locked_until[pair]
 
-    def is_pair_locked(self, pair: str) -> bool:
+    def is_pair_locked(self, pair: str, candle_date: datetime = None) -> bool:
         """
         Checks if a pair is currently locked
         """
         if pair not in self._pair_locked_until:
             return False
-        return self._pair_locked_until[pair] >= datetime.now(timezone.utc)
+        if not candle_date:
+            return self._pair_locked_until[pair] >= datetime.now(timezone.utc)
+        else:
+            # Locking should happen until a new candle arrives
+            lock_time = timeframe_to_next_date(self.timeframe, candle_date)
+            # lock_time = candle_date + timedelta(minutes=timeframe_to_minutes(self.timeframe))
+            res = self._pair_locked_until[pair] > lock_time
+            logger.debug(f"pair time = {lock_time} - pair_lock = {self._pair_locked_until[pair]} "
+                         f"- res: {res}")
+            return res
 
     def analyze_ticker(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         """
@@ -438,12 +448,6 @@ class IStrategy(ABC):
             )
             return False, False
 
-        # Check if dataframe has new candle
-        if (arrow.utcnow() - latest_date).total_seconds() // 60 >= timeframe_minutes:
-            logger.warning('Old candle for pair %s. Last candle is %s minutes old',
-                           pair, int((arrow.utcnow() - latest_date).total_seconds() // 60))
-            return False, False
-
         (buy, sell) = latest[SignalType.BUY.value] == 1, latest[SignalType.SELL.value] == 1
         logger.debug('trigger: %s (pair=%s) buy=%s sell=%s',
                      latest['date'], pair, str(buy), str(sell))
diff --git a/tests/strategy/test_interface.py b/tests/strategy/test_interface.py
index bca7cc0d9..f1b5d0244 100644
--- a/tests/strategy/test_interface.py
+++ b/tests/strategy/test_interface.py
@@ -1,6 +1,7 @@
 # pragma pylint: disable=missing-docstring, C0103
 
 import logging
+from datetime import datetime, timedelta, timezone
 from unittest.mock import MagicMock
 
 import arrow
@@ -8,12 +9,12 @@ import pytest
 from pandas import DataFrame
 
 from freqtrade.configuration import TimeRange
+from freqtrade.data.dataprovider import DataProvider
 from freqtrade.data.history import load_data
 from freqtrade.exceptions import StrategyError
 from freqtrade.persistence import Trade
 from freqtrade.resolvers import StrategyResolver
 from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
-from freqtrade.data.dataprovider import DataProvider
 from tests.conftest import log_has, log_has_re
 
 from .strats.default_strategy import DefaultStrategy
@@ -87,21 +88,6 @@ def test_get_signal_exception_valueerror(default_conf, mocker, caplog, ohlcv_his
     assert log_has_re(r'Strategy caused the following exception: xyz.*', caplog)
 
 
-def test_get_signal_old_candle(default_conf, mocker, caplog, ohlcv_history):
-    caplog.set_level(logging.INFO)
-    # default_conf defines a 5m interval. we check interval of previous candle
-    # this is necessary as the last candle is removed (partial candles) by default
-    oldtime = arrow.utcnow().shift(minutes=-10)
-    ticks = DataFrame([{'buy': 1, 'date': oldtime}])
-    mocker.patch.object(
-        _STRATEGY, '_analyze_ticker_internal',
-        return_value=DataFrame(ticks)
-    )
-    assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['timeframe'],
-                                                  ohlcv_history)
-    assert log_has('Old candle for pair xyz. Last candle is 10 minutes old', caplog)
-
-
 def test_get_signal_old_dataframe(default_conf, mocker, caplog, ohlcv_history):
     # default_conf defines a 5m interval. we check interval * 2 + 5m
     # this is necessary as the last candle is removed (partial candles) by default
@@ -402,6 +388,31 @@ def test_is_pair_locked(default_conf):
     strategy.unlock_pair(pair)
     assert not strategy.is_pair_locked(pair)
 
+    pair = 'BTC/USDT'
+    # Lock until 14:30
+    lock_time = datetime(2020, 5, 1, 14, 30, 0, tzinfo=timezone.utc)
+    strategy.lock_pair(pair, lock_time)
+    # Lock is in the past ...
+    assert not strategy.is_pair_locked(pair)
+    # latest candle is from 14:20, lock goes to 14:30
+    assert strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-10))
+    assert strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-50))
+
+    # latest candle is from 14:25 (lock should be lifted)
+    # Since this is the "new candle" available at 14:30
+    assert not strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-4))
+
+    # Should not be locked after time expired
+    assert not strategy.is_pair_locked(pair, lock_time + timedelta(minutes=10))
+
+    # Change timeframe to 15m
+    strategy.timeframe = '15m'
+    # Candle from 14:14 - lock goes until 14:30
+    assert strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-16))
+    assert strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-15, seconds=-2))
+    # Candle from 14:15 - lock goes until 14:30
+    assert not strategy.is_pair_locked(pair, lock_time + timedelta(minutes=-15))
+
 
 def test_is_informative_pairs_callback(default_conf):
     default_conf.update({'strategy': 'TestStrategyLegacy'})

From 502e21b2cb6da649c97a00b0a484a2ab1b1ba408 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Mon, 24 Aug 2020 11:17:27 +0200
Subject: [PATCH 234/244] Add unfilled explanation for sandboxes

---
 docs/sandbox-testing.md | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)

diff --git a/docs/sandbox-testing.md b/docs/sandbox-testing.md
index 9556dd014..9c14412de 100644
--- a/docs/sandbox-testing.md
+++ b/docs/sandbox-testing.md
@@ -91,3 +91,27 @@ Sandbox exchange instances often have very low volume, which can cause some prob
 
 Since Sandboxes often have low volume, candles can be quite old and show no volume.
 To disable the error "Outdated history for pair ...", best increase the parameter `"outdated_offset"` to a number that seems realistic for the sandbox you're using.
+
+### Unfilled orders
+
+Sandboxes often have very low volumes - which means that many trades can go unfilled, or can go unfilled for a very long time.
+
+To mitigate this, you can try to match the first order on the opposite orderbook side using the following configuration:
+
+``` jsonc
+  "order_types": {
+    "buy": "limit",
+    "sell": "limit"
+    // ...
+  },
+  "bid_strategy": {
+    "price_side": "ask",
+    // ...
+  },
+  "ask_strategy":{
+    "price_side": "bid",
+    // ...
+  },
+  ```
+
+  The configuration is similar to the suggested configuration for market orders - however by using limit-orders you can avoid moving the price too much, and you can set the worst price you might get.

From 354a40624866645b191dde458c857588c17a211b Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Mon, 24 Aug 2020 11:44:32 +0200
Subject: [PATCH 235/244] Sort imports in interface.py

---
 freqtrade/strategy/interface.py | 9 +++------
 1 file changed, 3 insertions(+), 6 deletions(-)

diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py
index 4a3a78c8f..9673b0c68 100644
--- a/freqtrade/strategy/interface.py
+++ b/freqtrade/strategy/interface.py
@@ -2,7 +2,6 @@
 IStrategy interface
 This module defines the interface to apply for strategies
 """
-from freqtrade.exchange.exchange import timeframe_to_next_date
 import logging
 import warnings
 from abc import ABC, abstractmethod
@@ -15,8 +14,9 @@ from pandas import DataFrame
 
 from freqtrade.constants import ListPairsWithTimeframes
 from freqtrade.data.dataprovider import DataProvider
-from freqtrade.exceptions import StrategyError, OperationalException
+from freqtrade.exceptions import OperationalException, StrategyError
 from freqtrade.exchange import timeframe_to_minutes
+from freqtrade.exchange.exchange import timeframe_to_next_date
 from freqtrade.persistence import Trade
 from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
 from freqtrade.wallets import Wallets
@@ -310,10 +310,7 @@ class IStrategy(ABC):
             # Locking should happen until a new candle arrives
             lock_time = timeframe_to_next_date(self.timeframe, candle_date)
             # lock_time = candle_date + timedelta(minutes=timeframe_to_minutes(self.timeframe))
-            res = self._pair_locked_until[pair] > lock_time
-            logger.debug(f"pair time = {lock_time} - pair_lock = {self._pair_locked_until[pair]} "
-                         f"- res: {res}")
-            return res
+            return self._pair_locked_until[pair] > lock_time
 
     def analyze_ticker(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
         """

From fca11160e443470aea767bb4e7d43c021fd5d149 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Mon, 24 Aug 2020 17:18:57 +0200
Subject: [PATCH 236/244] Improve docstring of is_pair_locked

---
 freqtrade/strategy/interface.py | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py
index 9673b0c68..69d9333e2 100644
--- a/freqtrade/strategy/interface.py
+++ b/freqtrade/strategy/interface.py
@@ -301,6 +301,11 @@ class IStrategy(ABC):
     def is_pair_locked(self, pair: str, candle_date: datetime = None) -> bool:
         """
         Checks if a pair is currently locked
+        The 2nd, optional parameter ensures that locks are applied until the new candle arrives,
+        and not stop at 14:00:00 - while the next candle arrives at 14:00:02 leaving a gap
+        of 2 seconds for a buy to happen on an old signal.
+        :param: pair: "Pair to check"
+        :param candle_date: Date of the last candle. Optional, defaults to current date
         """
         if pair not in self._pair_locked_until:
             return False

From 3bb69bc1bd5b78498a9c2d236a7f32a9779dc322 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Mon, 24 Aug 2020 17:31:00 +0200
Subject: [PATCH 237/244] Add returns statement to docstring

---
 freqtrade/strategy/interface.py | 1 +
 1 file changed, 1 insertion(+)

diff --git a/freqtrade/strategy/interface.py b/freqtrade/strategy/interface.py
index 69d9333e2..92d9f6c48 100644
--- a/freqtrade/strategy/interface.py
+++ b/freqtrade/strategy/interface.py
@@ -306,6 +306,7 @@ class IStrategy(ABC):
         of 2 seconds for a buy to happen on an old signal.
         :param: pair: "Pair to check"
         :param candle_date: Date of the last candle. Optional, defaults to current date
+        :returns: locking state of the pair in question.
         """
         if pair not in self._pair_locked_until:
             return False

From 9d4ecb625a004a45dc58c0f942394f0f4b80d277 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Wed, 26 Aug 2020 07:16:29 +0200
Subject: [PATCH 238/244] Allow numpy numbers as comparisons, too

---
 freqtrade/vendor/qtpylib/indicators.py |  2 +-
 tests/test_indicators.py               | 18 ++++++++++++++++++
 tests/test_talib.py                    |  2 --
 3 files changed, 19 insertions(+), 3 deletions(-)
 create mode 100644 tests/test_indicators.py

diff --git a/freqtrade/vendor/qtpylib/indicators.py b/freqtrade/vendor/qtpylib/indicators.py
index bef140396..e5a404862 100644
--- a/freqtrade/vendor/qtpylib/indicators.py
+++ b/freqtrade/vendor/qtpylib/indicators.py
@@ -222,7 +222,7 @@ def crossed(series1, series2, direction=None):
     if isinstance(series1, np.ndarray):
         series1 = pd.Series(series1)
 
-    if isinstance(series2, (float, int, np.ndarray)):
+    if isinstance(series2, (float, int, np.ndarray, np.integer, np.floating)):
         series2 = pd.Series(index=series1.index, data=series2)
 
     if direction is None or direction == "above":
diff --git a/tests/test_indicators.py b/tests/test_indicators.py
new file mode 100644
index 000000000..2f9bdc0f9
--- /dev/null
+++ b/tests/test_indicators.py
@@ -0,0 +1,18 @@
+import freqtrade.vendor.qtpylib.indicators as qtpylib
+import numpy as np
+import pandas as pd
+
+
+def test_crossed_numpy_types():
+    """
+    This test is only present since this method currently diverges from the qtpylib implementation.
+    And we must ensure to not break this again once we update from the original source.
+    """
+    series = pd.Series([56, 97, 19, 76, 65, 25, 87, 91, 79, 79])
+    expected_result = pd.Series([False, True, False, True, False, False, True, False, False, False])
+
+    assert qtpylib.crossed_above(series, 60).equals(expected_result)
+    assert qtpylib.crossed_above(series, 60.0).equals(expected_result)
+    assert qtpylib.crossed_above(series, np.int32(60)).equals(expected_result)
+    assert qtpylib.crossed_above(series, np.int64(60)).equals(expected_result)
+    assert qtpylib.crossed_above(series, np.float64(60.0)).equals(expected_result)
diff --git a/tests/test_talib.py b/tests/test_talib.py
index 2c7f73eb1..4effc129b 100644
--- a/tests/test_talib.py
+++ b/tests/test_talib.py
@@ -1,5 +1,3 @@
-
-
 import talib.abstract as ta
 import pandas as pd
 

From 309ea1246aab34310aa9cf8aef32170bb5b3ccac Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Wed, 26 Aug 2020 20:52:09 +0200
Subject: [PATCH 239/244] Update config to use single quotes

---
 freqtrade/commands/data_commands.py      |  16 +--
 freqtrade/commands/deploy_commands.py    |   8 +-
 freqtrade/configuration/configuration.py |  40 +++----
 freqtrade/data/btanalysis.py             |   2 +-
 freqtrade/exchange/exchange.py           |   4 +-
 freqtrade/plot/plotting.py               |  22 ++--
 scripts/rest_client.py                   |  10 +-
 tests/conftest.py                        |   2 +-
 tests/rpc/test_rpc_apiserver.py          |  10 +-
 tests/test_arguments.py                  | 132 +++++++++++------------
 tests/test_configuration.py              |   2 +-
 tests/test_main.py                       |  14 +--
 tests/test_plotting.py                   |  12 +--
 13 files changed, 137 insertions(+), 137 deletions(-)

diff --git a/freqtrade/commands/data_commands.py b/freqtrade/commands/data_commands.py
index aa0b826b5..da1eb0cf5 100644
--- a/freqtrade/commands/data_commands.py
+++ b/freqtrade/commands/data_commands.py
@@ -35,8 +35,8 @@ def start_download_data(args: Dict[str, Any]) -> None:
             "Downloading data requires a list of pairs. "
             "Please check the documentation on how to configure this.")
 
-    logger.info(f'About to download pairs: {config["pairs"]}, '
-                f'intervals: {config["timeframes"]} to {config["datadir"]}')
+    logger.info(f"About to download pairs: {config['pairs']}, "
+                f"intervals: {config['timeframes']} to {config['datadir']}")
 
     pairs_not_available: List[str] = []
 
@@ -51,21 +51,21 @@ def start_download_data(args: Dict[str, Any]) -> None:
 
         if config.get('download_trades'):
             pairs_not_available = refresh_backtest_trades_data(
-                exchange, pairs=config["pairs"], datadir=config['datadir'],
-                timerange=timerange, erase=bool(config.get("erase")),
+                exchange, pairs=config['pairs'], datadir=config['datadir'],
+                timerange=timerange, erase=bool(config.get('erase')),
                 data_format=config['dataformat_trades'])
 
             # Convert downloaded trade data to different timeframes
             convert_trades_to_ohlcv(
-                pairs=config["pairs"], timeframes=config["timeframes"],
-                datadir=config['datadir'], timerange=timerange, erase=bool(config.get("erase")),
+                pairs=config['pairs'], timeframes=config['timeframes'],
+                datadir=config['datadir'], timerange=timerange, erase=bool(config.get('erase')),
                 data_format_ohlcv=config['dataformat_ohlcv'],
                 data_format_trades=config['dataformat_trades'],
                 )
         else:
             pairs_not_available = refresh_backtest_ohlcv_data(
-                exchange, pairs=config["pairs"], timeframes=config["timeframes"],
-                datadir=config['datadir'], timerange=timerange, erase=bool(config.get("erase")),
+                exchange, pairs=config['pairs'], timeframes=config['timeframes'],
+                datadir=config['datadir'], timerange=timerange, erase=bool(config.get('erase')),
                 data_format=config['dataformat_ohlcv'])
 
     except KeyboardInterrupt:
diff --git a/freqtrade/commands/deploy_commands.py b/freqtrade/commands/deploy_commands.py
index 86562fa7c..bfd68cb9b 100644
--- a/freqtrade/commands/deploy_commands.py
+++ b/freqtrade/commands/deploy_commands.py
@@ -75,7 +75,7 @@ def start_new_strategy(args: Dict[str, Any]) -> None:
         if args["strategy"] == "DefaultStrategy":
             raise OperationalException("DefaultStrategy is not allowed as name.")
 
-        new_path = config['user_data_dir'] / USERPATH_STRATEGIES / (args["strategy"] + ".py")
+        new_path = config['user_data_dir'] / USERPATH_STRATEGIES / (args['strategy'] + '.py')
 
         if new_path.exists():
             raise OperationalException(f"`{new_path}` already exists. "
@@ -125,11 +125,11 @@ def start_new_hyperopt(args: Dict[str, Any]) -> None:
 
     config = setup_utils_configuration(args, RunMode.UTIL_NO_EXCHANGE)
 
-    if "hyperopt" in args and args["hyperopt"]:
-        if args["hyperopt"] == "DefaultHyperopt":
+    if 'hyperopt' in args and args['hyperopt']:
+        if args['hyperopt'] == 'DefaultHyperopt':
             raise OperationalException("DefaultHyperopt is not allowed as name.")
 
-        new_path = config['user_data_dir'] / USERPATH_HYPEROPTS / (args["hyperopt"] + ".py")
+        new_path = config['user_data_dir'] / USERPATH_HYPEROPTS / (args['hyperopt'] + '.py')
 
         if new_path.exists():
             raise OperationalException(f"`{new_path}` already exists. "
diff --git a/freqtrade/configuration/configuration.py b/freqtrade/configuration/configuration.py
index 01e42144a..930917fae 100644
--- a/freqtrade/configuration/configuration.py
+++ b/freqtrade/configuration/configuration.py
@@ -54,7 +54,7 @@ class Configuration:
         :param files: List of file paths
         :return: configuration dictionary
         """
-        c = Configuration({"config": files}, RunMode.OTHER)
+        c = Configuration({'config': files}, RunMode.OTHER)
         return c.get_config()
 
     def load_from_files(self, files: List[str]) -> Dict[str, Any]:
@@ -123,10 +123,10 @@ class Configuration:
         the -v/--verbose, --logfile options
         """
         # Log level
-        config.update({'verbosity': self.args.get("verbosity", 0)})
+        config.update({'verbosity': self.args.get('verbosity', 0)})
 
-        if 'logfile' in self.args and self.args["logfile"]:
-            config.update({'logfile': self.args["logfile"]})
+        if 'logfile' in self.args and self.args['logfile']:
+            config.update({'logfile': self.args['logfile']})
 
         setup_logging(config)
 
@@ -149,22 +149,22 @@ class Configuration:
     def _process_common_options(self, config: Dict[str, Any]) -> None:
 
         # Set strategy if not specified in config and or if it's non default
-        if self.args.get("strategy") or not config.get('strategy'):
-            config.update({'strategy': self.args.get("strategy")})
+        if self.args.get('strategy') or not config.get('strategy'):
+            config.update({'strategy': self.args.get('strategy')})
 
         self._args_to_config(config, argname='strategy_path',
                              logstring='Using additional Strategy lookup path: {}')
 
-        if ('db_url' in self.args and self.args["db_url"] and
-                self.args["db_url"] != constants.DEFAULT_DB_PROD_URL):
-            config.update({'db_url': self.args["db_url"]})
+        if ('db_url' in self.args and self.args['db_url'] and
+                self.args['db_url'] != constants.DEFAULT_DB_PROD_URL):
+            config.update({'db_url': self.args['db_url']})
             logger.info('Parameter --db-url detected ...')
 
         if config.get('forcebuy_enable', False):
             logger.warning('`forcebuy` RPC message enabled.')
 
         # Support for sd_notify
-        if 'sd_notify' in self.args and self.args["sd_notify"]:
+        if 'sd_notify' in self.args and self.args['sd_notify']:
             config['internals'].update({'sd_notify': True})
 
     def _process_datadir_options(self, config: Dict[str, Any]) -> None:
@@ -173,24 +173,24 @@ class Configuration:
         --user-data, --datadir
         """
         # Check exchange parameter here - otherwise `datadir` might be wrong.
-        if "exchange" in self.args and self.args["exchange"]:
-            config['exchange']['name'] = self.args["exchange"]
+        if 'exchange' in self.args and self.args['exchange']:
+            config['exchange']['name'] = self.args['exchange']
             logger.info(f"Using exchange {config['exchange']['name']}")
 
         if 'pair_whitelist' not in config['exchange']:
             config['exchange']['pair_whitelist'] = []
 
-        if 'user_data_dir' in self.args and self.args["user_data_dir"]:
-            config.update({'user_data_dir': self.args["user_data_dir"]})
+        if 'user_data_dir' in self.args and self.args['user_data_dir']:
+            config.update({'user_data_dir': self.args['user_data_dir']})
         elif 'user_data_dir' not in config:
             # Default to cwd/user_data (legacy option ...)
-            config.update({'user_data_dir': str(Path.cwd() / "user_data")})
+            config.update({'user_data_dir': str(Path.cwd() / 'user_data')})
 
         # reset to user_data_dir so this contains the absolute path.
         config['user_data_dir'] = create_userdata_dir(config['user_data_dir'], create_dir=False)
         logger.info('Using user-data directory: %s ...', config['user_data_dir'])
 
-        config.update({'datadir': create_datadir(config, self.args.get("datadir", None))})
+        config.update({'datadir': create_datadir(config, self.args.get('datadir', None))})
         logger.info('Using data directory: %s ...', config.get('datadir'))
 
         if self.args.get('exportfilename'):
@@ -219,8 +219,8 @@ class Configuration:
             config.update({'use_max_market_positions': False})
             logger.info('Parameter --disable-max-market-positions detected ...')
             logger.info('max_open_trades set to unlimited ...')
-        elif 'max_open_trades' in self.args and self.args["max_open_trades"]:
-            config.update({'max_open_trades': self.args["max_open_trades"]})
+        elif 'max_open_trades' in self.args and self.args['max_open_trades']:
+            config.update({'max_open_trades': self.args['max_open_trades']})
             logger.info('Parameter --max-open-trades detected, '
                         'overriding max_open_trades to: %s ...', config.get('max_open_trades'))
         elif config['runmode'] in NON_UTIL_MODES:
@@ -447,12 +447,12 @@ class Configuration:
                 config['pairs'].sort()
             return
 
-        if "config" in self.args and self.args["config"]:
+        if 'config' in self.args and self.args['config']:
             logger.info("Using pairlist from configuration.")
             config['pairs'] = config.get('exchange', {}).get('pair_whitelist')
         else:
             # Fall back to /dl_path/pairs.json
-            pairs_file = config['datadir'] / "pairs.json"
+            pairs_file = config['datadir'] / 'pairs.json'
             if pairs_file.exists():
                 with pairs_file.open('r') as f:
                     config['pairs'] = json_load(f)
diff --git a/freqtrade/data/btanalysis.py b/freqtrade/data/btanalysis.py
index 972961b36..2d45a7222 100644
--- a/freqtrade/data/btanalysis.py
+++ b/freqtrade/data/btanalysis.py
@@ -208,7 +208,7 @@ def load_trades_from_db(db_url: str, strategy: Optional[str] = None) -> pd.DataF
 def load_trades(source: str, db_url: str, exportfilename: Path,
                 no_trades: bool = False, strategy: Optional[str] = None) -> pd.DataFrame:
     """
-    Based on configuration option "trade_source":
+    Based on configuration option 'trade_source':
     * loads data from DB (using `db_url`)
     * loads data from backtestfile (using `exportfilename`)
     :param source: "DB" or "file" - specify source to load from
diff --git a/freqtrade/exchange/exchange.py b/freqtrade/exchange/exchange.py
index c9c5a0027..d84fe7b82 100644
--- a/freqtrade/exchange/exchange.py
+++ b/freqtrade/exchange/exchange.py
@@ -85,8 +85,8 @@ class Exchange:
 
         # Deep merge ft_has with default ft_has options
         self._ft_has = deep_merge_dicts(self._ft_has, deepcopy(self._ft_has_default))
-        if exchange_config.get("_ft_has_params"):
-            self._ft_has = deep_merge_dicts(exchange_config.get("_ft_has_params"),
+        if exchange_config.get('_ft_has_params'):
+            self._ft_has = deep_merge_dicts(exchange_config.get('_ft_has_params'),
                                             self._ft_has)
             logger.info("Overriding exchange._ft_has with config params, result: %s", self._ft_has)
 
diff --git a/freqtrade/plot/plotting.py b/freqtrade/plot/plotting.py
index b420db770..270fe615b 100644
--- a/freqtrade/plot/plotting.py
+++ b/freqtrade/plot/plotting.py
@@ -38,15 +38,15 @@ def init_plotscript(config):
     """
 
     if "pairs" in config:
-        pairs = config["pairs"]
+        pairs = config['pairs']
     else:
-        pairs = config["exchange"]["pair_whitelist"]
+        pairs = config['exchange']['pair_whitelist']
 
     # Set timerange to use
-    timerange = TimeRange.parse_timerange(config.get("timerange"))
+    timerange = TimeRange.parse_timerange(config.get('timerange'))
 
     data = load_data(
-        datadir=config.get("datadir"),
+        datadir=config.get('datadir'),
         pairs=pairs,
         timeframe=config.get('timeframe', '5m'),
         timerange=timerange,
@@ -67,7 +67,7 @@ def init_plotscript(config):
         db_url=config.get('db_url'),
         exportfilename=filename,
         no_trades=no_trades,
-        strategy=config.get("strategy"),
+        strategy=config.get('strategy'),
     )
     trades = trim_dataframe(trades, timerange, 'open_date')
 
@@ -491,13 +491,13 @@ def load_and_plot_trades(config: Dict[str, Any]):
             pair=pair,
             data=df_analyzed,
             trades=trades_pair,
-            indicators1=config.get("indicators1", []),
-            indicators2=config.get("indicators2", []),
+            indicators1=config.get('indicators1', []),
+            indicators2=config.get('indicators2', []),
             plot_config=strategy.plot_config if hasattr(strategy, 'plot_config') else {}
         )
 
         store_plot_file(fig, filename=generate_plot_filename(pair, config['timeframe']),
-                        directory=config['user_data_dir'] / "plot")
+                        directory=config['user_data_dir'] / 'plot')
 
     logger.info('End of plotting process. %s plots generated', pair_counter)
 
@@ -514,7 +514,7 @@ def plot_profit(config: Dict[str, Any]) -> None:
     # Filter trades to relevant pairs
     # Remove open pairs - we don't know the profit yet so can't calculate profit for these.
     # Also, If only one open pair is left, then the profit-generation would fail.
-    trades = trades[(trades['pair'].isin(plot_elements["pairs"]))
+    trades = trades[(trades['pair'].isin(plot_elements['pairs']))
                     & (~trades['close_date'].isnull())
                     ]
     if len(trades) == 0:
@@ -523,7 +523,7 @@ def plot_profit(config: Dict[str, Any]) -> None:
 
     # Create an average close price of all the pairs that were involved.
     # this could be useful to gauge the overall market trend
-    fig = generate_profit_graph(plot_elements["pairs"], plot_elements["ohlcv"],
+    fig = generate_profit_graph(plot_elements['pairs'], plot_elements['ohlcv'],
                                 trades, config.get('timeframe', '5m'))
     store_plot_file(fig, filename='freqtrade-profit-plot.html',
-                    directory=config['user_data_dir'] / "plot", auto_open=True)
+                    directory=config['user_data_dir'] / 'plot', auto_open=True)
diff --git a/scripts/rest_client.py b/scripts/rest_client.py
index 51ea596f6..598a82040 100755
--- a/scripts/rest_client.py
+++ b/scripts/rest_client.py
@@ -276,11 +276,11 @@ def main(args):
         print_commands()
         sys.exit()
 
-    config = load_config(args["config"])
-    url = config.get("api_server", {}).get("server_url", "127.0.0.1")
-    port = config.get("api_server", {}).get("listen_port", "8080")
-    username = config.get("api_server", {}).get("username")
-    password = config.get("api_server", {}).get("password")
+    config = load_config(args['config'])
+    url = config.get('api_server', {}).get('server_url', '127.0.0.1')
+    port = config.get('api_server', {}).get('listen_port', '8080')
+    username = config.get('api_server', {}).get('username')
+    password = config.get('api_server', {}).get('password')
 
     server_url = f"http://{url}:{port}"
     client = FtRestClient(server_url, username, password)
diff --git a/tests/conftest.py b/tests/conftest.py
index a40bfbc6c..dbed08ec5 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -78,7 +78,7 @@ def patch_exchange(mocker, api_mock=None, id='bittrex', mock_markets=True) -> No
 def get_patched_exchange(mocker, config, api_mock=None, id='bittrex',
                          mock_markets=True) -> Exchange:
     patch_exchange(mocker, api_mock, id, mock_markets)
-    config["exchange"]["name"] = id
+    config['exchange']['name'] = id
     try:
         exchange = ExchangeResolver.load_exchange(id, config)
     except ImportError:
diff --git a/tests/rpc/test_rpc_apiserver.py b/tests/rpc/test_rpc_apiserver.py
index a3a2c9a1f..2513f751b 100644
--- a/tests/rpc/test_rpc_apiserver.py
+++ b/tests/rpc/test_rpc_apiserver.py
@@ -87,20 +87,20 @@ def test_api_unauthorized(botclient):
     assert rc.json == {'error': 'Unauthorized'}
 
     # Change only username
-    ftbot.config['api_server']['username'] = "Ftrader"
+    ftbot.config['api_server']['username'] = 'Ftrader'
     rc = client_get(client, f"{BASE_URI}/version")
     assert_response(rc, 401)
     assert rc.json == {'error': 'Unauthorized'}
 
     # Change only password
     ftbot.config['api_server']['username'] = _TEST_USER
-    ftbot.config['api_server']['password'] = "WrongPassword"
+    ftbot.config['api_server']['password'] = 'WrongPassword'
     rc = client_get(client, f"{BASE_URI}/version")
     assert_response(rc, 401)
     assert rc.json == {'error': 'Unauthorized'}
 
-    ftbot.config['api_server']['username'] = "Ftrader"
-    ftbot.config['api_server']['password'] = "WrongPassword"
+    ftbot.config['api_server']['username'] = 'Ftrader'
+    ftbot.config['api_server']['password'] = 'WrongPassword'
 
     rc = client_get(client, f"{BASE_URI}/version")
     assert_response(rc, 401)
@@ -677,7 +677,7 @@ def test_api_forcebuy(botclient, mocker, fee):
     assert rc.json == {"error": "Error querying _forcebuy: Forcebuy not enabled."}
 
     # enable forcebuy
-    ftbot.config["forcebuy_enable"] = True
+    ftbot.config['forcebuy_enable'] = True
 
     fbuy_mock = MagicMock(return_value=None)
     mocker.patch("freqtrade.rpc.RPC._rpc_forcebuy", fbuy_mock)
diff --git a/tests/test_arguments.py b/tests/test_arguments.py
index 457683598..2af36277b 100644
--- a/tests/test_arguments.py
+++ b/tests/test_arguments.py
@@ -19,64 +19,64 @@ def test_parse_args_none() -> None:
 
 
 def test_parse_args_defaults(mocker) -> None:
-    mocker.patch.object(Path, "is_file", MagicMock(side_effect=[False, True]))
+    mocker.patch.object(Path, 'is_file', MagicMock(side_effect=[False, True]))
     args = Arguments(['trade']).get_parsed_arg()
-    assert args["config"] == ['config.json']
-    assert args["strategy_path"] is None
-    assert args["datadir"] is None
-    assert args["verbosity"] == 0
+    assert args['config'] == ['config.json']
+    assert args['strategy_path'] is None
+    assert args['datadir'] is None
+    assert args['verbosity'] == 0
 
 
 def test_parse_args_default_userdatadir(mocker) -> None:
-    mocker.patch.object(Path, "is_file", MagicMock(return_value=True))
+    mocker.patch.object(Path, 'is_file', MagicMock(return_value=True))
     args = Arguments(['trade']).get_parsed_arg()
     # configuration defaults to user_data if that is available.
-    assert args["config"] == [str(Path('user_data/config.json'))]
-    assert args["strategy_path"] is None
-    assert args["datadir"] is None
-    assert args["verbosity"] == 0
+    assert args['config'] == [str(Path('user_data/config.json'))]
+    assert args['strategy_path'] is None
+    assert args['datadir'] is None
+    assert args['verbosity'] == 0
 
 
 def test_parse_args_userdatadir(mocker) -> None:
-    mocker.patch.object(Path, "is_file", MagicMock(return_value=True))
+    mocker.patch.object(Path, 'is_file', MagicMock(return_value=True))
     args = Arguments(['trade', '--user-data-dir', 'user_data']).get_parsed_arg()
     # configuration defaults to user_data if that is available.
-    assert args["config"] == [str(Path('user_data/config.json'))]
-    assert args["strategy_path"] is None
-    assert args["datadir"] is None
-    assert args["verbosity"] == 0
+    assert args['config'] == [str(Path('user_data/config.json'))]
+    assert args['strategy_path'] is None
+    assert args['datadir'] is None
+    assert args['verbosity'] == 0
 
 
 def test_parse_args_config() -> None:
     args = Arguments(['trade', '-c', '/dev/null']).get_parsed_arg()
-    assert args["config"] == ['/dev/null']
+    assert args['config'] == ['/dev/null']
 
     args = Arguments(['trade', '--config', '/dev/null']).get_parsed_arg()
-    assert args["config"] == ['/dev/null']
+    assert args['config'] == ['/dev/null']
 
     args = Arguments(['trade', '--config', '/dev/null',
                       '--config', '/dev/zero'],).get_parsed_arg()
-    assert args["config"] == ['/dev/null', '/dev/zero']
+    assert args['config'] == ['/dev/null', '/dev/zero']
 
 
 def test_parse_args_db_url() -> None:
     args = Arguments(['trade', '--db-url', 'sqlite:///test.sqlite']).get_parsed_arg()
-    assert args["db_url"] == 'sqlite:///test.sqlite'
+    assert args['db_url'] == 'sqlite:///test.sqlite'
 
 
 def test_parse_args_verbose() -> None:
     args = Arguments(['trade', '-v']).get_parsed_arg()
-    assert args["verbosity"] == 1
+    assert args['verbosity'] == 1
 
     args = Arguments(['trade', '--verbose']).get_parsed_arg()
-    assert args["verbosity"] == 1
+    assert args['verbosity'] == 1
 
 
 def test_common_scripts_options() -> None:
     args = Arguments(['download-data', '-p', 'ETH/BTC', 'XRP/BTC']).get_parsed_arg()
 
-    assert args["pairs"] == ['ETH/BTC', 'XRP/BTC']
-    assert "func" in args
+    assert args['pairs'] == ['ETH/BTC', 'XRP/BTC']
+    assert 'func' in args
 
 
 def test_parse_args_version() -> None:
@@ -91,7 +91,7 @@ def test_parse_args_invalid() -> None:
 
 def test_parse_args_strategy() -> None:
     args = Arguments(['trade', '--strategy', 'SomeStrategy']).get_parsed_arg()
-    assert args["strategy"] == 'SomeStrategy'
+    assert args['strategy'] == 'SomeStrategy'
 
 
 def test_parse_args_strategy_invalid() -> None:
@@ -101,7 +101,7 @@ def test_parse_args_strategy_invalid() -> None:
 
 def test_parse_args_strategy_path() -> None:
     args = Arguments(['trade', '--strategy-path', '/some/path']).get_parsed_arg()
-    assert args["strategy_path"] == '/some/path'
+    assert args['strategy_path'] == '/some/path'
 
 
 def test_parse_args_strategy_path_invalid() -> None:
@@ -127,13 +127,13 @@ def test_parse_args_backtesting_custom() -> None:
         'SampleStrategy'
         ]
     call_args = Arguments(args).get_parsed_arg()
-    assert call_args["config"] == ['test_conf.json']
-    assert call_args["verbosity"] == 0
-    assert call_args["command"] == 'backtesting'
-    assert call_args["func"] is not None
-    assert call_args["timeframe"] == '1m'
-    assert type(call_args["strategy_list"]) is list
-    assert len(call_args["strategy_list"]) == 2
+    assert call_args['config'] == ['test_conf.json']
+    assert call_args['verbosity'] == 0
+    assert call_args['command'] == 'backtesting'
+    assert call_args['func'] is not None
+    assert call_args['timeframe'] == '1m'
+    assert type(call_args['strategy_list']) is list
+    assert len(call_args['strategy_list']) == 2
 
 
 def test_parse_args_hyperopt_custom() -> None:
@@ -144,13 +144,13 @@ def test_parse_args_hyperopt_custom() -> None:
         '--spaces', 'buy'
     ]
     call_args = Arguments(args).get_parsed_arg()
-    assert call_args["config"] == ['test_conf.json']
-    assert call_args["epochs"] == 20
-    assert call_args["verbosity"] == 0
-    assert call_args["command"] == 'hyperopt'
-    assert call_args["spaces"] == ['buy']
-    assert call_args["func"] is not None
-    assert callable(call_args["func"])
+    assert call_args['config'] == ['test_conf.json']
+    assert call_args['epochs'] == 20
+    assert call_args['verbosity'] == 0
+    assert call_args['command'] == 'hyperopt'
+    assert call_args['spaces'] == ['buy']
+    assert call_args['func'] is not None
+    assert callable(call_args['func'])
 
 
 def test_download_data_options() -> None:
@@ -163,10 +163,10 @@ def test_download_data_options() -> None:
     ]
     pargs = Arguments(args).get_parsed_arg()
 
-    assert pargs["pairs_file"] == 'file_with_pairs'
-    assert pargs["datadir"] == 'datadir/directory'
-    assert pargs["days"] == 30
-    assert pargs["exchange"] == 'binance'
+    assert pargs['pairs_file'] == 'file_with_pairs'
+    assert pargs['datadir'] == 'datadir/directory'
+    assert pargs['days'] == 30
+    assert pargs['exchange'] == 'binance'
 
 
 def test_plot_dataframe_options() -> None:
@@ -180,10 +180,10 @@ def test_plot_dataframe_options() -> None:
     ]
     pargs = Arguments(args).get_parsed_arg()
 
-    assert pargs["indicators1"] == ["sma10", "sma100"]
-    assert pargs["indicators2"] == ["macd", "fastd", "fastk"]
-    assert pargs["plot_limit"] == 30
-    assert pargs["pairs"] == ["UNITTEST/BTC"]
+    assert pargs['indicators1'] == ['sma10', 'sma100']
+    assert pargs['indicators2'] == ['macd', 'fastd', 'fastk']
+    assert pargs['plot_limit'] == 30
+    assert pargs['pairs'] == ['UNITTEST/BTC']
 
 
 def test_plot_profit_options() -> None:
@@ -191,66 +191,66 @@ def test_plot_profit_options() -> None:
         'plot-profit',
         '-p', 'UNITTEST/BTC',
         '--trade-source', 'DB',
-        "--db-url", "sqlite:///whatever.sqlite",
+        '--db-url', 'sqlite:///whatever.sqlite',
     ]
     pargs = Arguments(args).get_parsed_arg()
 
-    assert pargs["trade_source"] == "DB"
-    assert pargs["pairs"] == ["UNITTEST/BTC"]
-    assert pargs["db_url"] == "sqlite:///whatever.sqlite"
+    assert pargs['trade_source'] == 'DB'
+    assert pargs['pairs'] == ['UNITTEST/BTC']
+    assert pargs['db_url'] == 'sqlite:///whatever.sqlite'
 
 
 def test_config_notallowed(mocker) -> None:
-    mocker.patch.object(Path, "is_file", MagicMock(return_value=False))
+    mocker.patch.object(Path, 'is_file', MagicMock(return_value=False))
     args = [
         'create-userdir',
     ]
     pargs = Arguments(args).get_parsed_arg()
 
-    assert "config" not in pargs
+    assert 'config' not in pargs
 
     # When file exists:
-    mocker.patch.object(Path, "is_file", MagicMock(return_value=True))
+    mocker.patch.object(Path, 'is_file', MagicMock(return_value=True))
     args = [
         'create-userdir',
     ]
     pargs = Arguments(args).get_parsed_arg()
     # config is not added even if it exists, since create-userdir is in the notallowed list
-    assert "config" not in pargs
+    assert 'config' not in pargs
 
 
 def test_config_notrequired(mocker) -> None:
-    mocker.patch.object(Path, "is_file", MagicMock(return_value=False))
+    mocker.patch.object(Path, 'is_file', MagicMock(return_value=False))
     args = [
         'download-data',
     ]
     pargs = Arguments(args).get_parsed_arg()
 
-    assert pargs["config"] is None
+    assert pargs['config'] is None
 
     # When file exists:
-    mocker.patch.object(Path, "is_file", MagicMock(side_effect=[False, True]))
+    mocker.patch.object(Path, 'is_file', MagicMock(side_effect=[False, True]))
     args = [
         'download-data',
     ]
     pargs = Arguments(args).get_parsed_arg()
     # config is added if it exists
-    assert pargs["config"] == ['config.json']
+    assert pargs['config'] == ['config.json']
 
 
 def test_check_int_positive() -> None:
-    assert check_int_positive("3") == 3
-    assert check_int_positive("1") == 1
-    assert check_int_positive("100") == 100
+    assert check_int_positive('3') == 3
+    assert check_int_positive('1') == 1
+    assert check_int_positive('100') == 100
 
     with pytest.raises(argparse.ArgumentTypeError):
-        check_int_positive("-2")
+        check_int_positive('-2')
 
     with pytest.raises(argparse.ArgumentTypeError):
-        check_int_positive("0")
+        check_int_positive('0')
 
     with pytest.raises(argparse.ArgumentTypeError):
-        check_int_positive("3.5")
+        check_int_positive('3.5')
 
     with pytest.raises(argparse.ArgumentTypeError):
-        check_int_positive("DeadBeef")
+        check_int_positive('DeadBeef')
diff --git a/tests/test_configuration.py b/tests/test_configuration.py
index ca5d6eadc..8549f00c9 100644
--- a/tests/test_configuration.py
+++ b/tests/test_configuration.py
@@ -1005,7 +1005,7 @@ def test_pairlist_resolving_fallback(mocker):
 
     args = Arguments(arglist).get_parsed_arg()
     # Fix flaky tests if config.json exists
-    args["config"] = None
+    args['config'] = None
 
     configuration = Configuration(args, RunMode.OTHER)
     config = configuration.get_config()
diff --git a/tests/test_main.py b/tests/test_main.py
index d5309ae3f..dd0c877e8 100644
--- a/tests/test_main.py
+++ b/tests/test_main.py
@@ -44,19 +44,19 @@ def test_parse_args_backtesting(mocker) -> None:
 
 
 def test_main_start_hyperopt(mocker) -> None:
-    mocker.patch.object(Path, "is_file", MagicMock(side_effect=[False, True]))
+    mocker.patch.object(Path, 'is_file', MagicMock(side_effect=[False, True]))
     hyperopt_mock = mocker.patch('freqtrade.commands.start_hyperopt', MagicMock())
-    hyperopt_mock.__name__ = PropertyMock("start_hyperopt")
+    hyperopt_mock.__name__ = PropertyMock('start_hyperopt')
     # it's sys.exit(0) at the end of hyperopt
     with pytest.raises(SystemExit):
         main(['hyperopt'])
     assert hyperopt_mock.call_count == 1
     call_args = hyperopt_mock.call_args[0][0]
-    assert call_args["config"] == ['config.json']
-    assert call_args["verbosity"] == 0
-    assert call_args["command"] == 'hyperopt'
-    assert call_args["func"] is not None
-    assert callable(call_args["func"])
+    assert call_args['config'] == ['config.json']
+    assert call_args['verbosity'] == 0
+    assert call_args['command'] == 'hyperopt'
+    assert call_args['func'] is not None
+    assert callable(call_args['func'])
 
 
 def test_main_fatal_exception(mocker, default_conf, caplog) -> None:
diff --git a/tests/test_plotting.py b/tests/test_plotting.py
index 28c486877..bcababbf1 100644
--- a/tests/test_plotting.py
+++ b/tests/test_plotting.py
@@ -362,22 +362,22 @@ def test_start_plot_profit(mocker):
 def test_start_plot_profit_error(mocker):
 
     args = [
-        "plot-profit",
-        "--pairs", "ETH/BTC"
+        'plot-profit',
+        '--pairs', 'ETH/BTC'
     ]
     argsp = get_args(args)
     # Make sure we use no config. Details: #2241
     # not resetting config causes random failures if config.json exists
-    argsp["config"] = []
+    argsp['config'] = []
     with pytest.raises(OperationalException):
         start_plot_profit(argsp)
 
 
 def test_plot_profit(default_conf, mocker, testdatadir, caplog):
     default_conf['trade_source'] = 'file'
-    default_conf["datadir"] = testdatadir
-    default_conf['exportfilename'] = testdatadir / "backtest-result_test_nofile.json"
-    default_conf['pairs'] = ["ETH/BTC", "LTC/BTC"]
+    default_conf['datadir'] = testdatadir
+    default_conf['exportfilename'] = testdatadir / 'backtest-result_test_nofile.json'
+    default_conf['pairs'] = ['ETH/BTC', 'LTC/BTC']
 
     profit_mock = MagicMock()
     store_mock = MagicMock()

From bf5a082358f93adfd2bbe771b76d7ab7928fc3cf Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 27 Aug 2020 11:37:20 +0200
Subject: [PATCH 240/244] bufferhandler should log right from the beginning

---
 freqtrade/loggers.py | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/freqtrade/loggers.py b/freqtrade/loggers.py
index 263f97ce1..8f5da9bee 100644
--- a/freqtrade/loggers.py
+++ b/freqtrade/loggers.py
@@ -41,13 +41,14 @@ def setup_logging_pre() -> None:
     """
     Early setup for logging.
     Uses INFO loglevel and only the Streamhandler.
-    Early messages (before proper logging setup) will therefore only be available
-    after the proper logging setup.
+    Early messages (before proper logging setup) will therefore only be sent to additional
+    logging handlers after the real initialization, because we don't know which
+    ones the user desires beforehand.
     """
     logging.basicConfig(
         level=logging.INFO,
         format=LOGFORMAT,
-        handlers=[logging.StreamHandler(sys.stderr)]
+        handlers=[logging.StreamHandler(sys.stderr), bufferHandler]
     )
 
 

From cf719bc5d32a53aea394e8a2473812dff1412340 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 27 Aug 2020 12:04:55 +0200
Subject: [PATCH 241/244] Fix logformat to use epoch timestamp in ms

---
 freqtrade/rpc/rpc.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index b7a4f4f8c..fed170001 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -640,10 +640,15 @@ class RPC:
         else:
             buffer = bufferHandler.buffer
         records = [[datetime.fromtimestamp(r.created).strftime("%Y-%m-%d %H:%M:%S"),
-                   r.created, r.name, r.levelname,
+                   r.created * 1000, r.name, r.levelname,
                    r.message + ('\n' + r.exc_text if r.exc_text else '')]
                    for r in buffer]
 
+        # Logs format:
+        # [logtime-formatted, logepoch, logger-name, loglevel, message \n + exception]
+        # e.g. ["2020-08-27 11:35:01", 1598520901097.9397,
+        # "freqtrade.worker", "INFO", "Starting worker develop"]
+
         return {'log_count': len(records), 'logs': records}
 
     def _rpc_edge(self) -> List[Dict[str, Any]]:

From dc6d71f651cc087ba943efe2e9e73d399f75bce5 Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Thu, 27 Aug 2020 14:41:31 +0200
Subject: [PATCH 242/244] Improve comment formatting

---
 freqtrade/rpc/rpc.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index fed170001..13a799ef2 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -644,10 +644,10 @@ class RPC:
                    r.message + ('\n' + r.exc_text if r.exc_text else '')]
                    for r in buffer]
 
-        # Logs format:
+        # Log format:
         # [logtime-formatted, logepoch, logger-name, loglevel, message \n + exception]
         # e.g. ["2020-08-27 11:35:01", 1598520901097.9397,
-        # "freqtrade.worker", "INFO", "Starting worker develop"]
+        #       "freqtrade.worker", "INFO", "Starting worker develop"]
 
         return {'log_count': len(records), 'logs': records}
 

From 2ae04af6946097b555d28addecd771bb44ca707d Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sat, 29 Aug 2020 10:26:26 +0200
Subject: [PATCH 243/244] Improve some doc wording

---
 README.md                      |  1 -
 docs/deprecated.md             | 11 +++++------
 tests/rpc/test_rpc_telegram.py |  1 -
 3 files changed, 5 insertions(+), 8 deletions(-)

diff --git a/README.md b/README.md
index 7e0acde46..90f303c6d 100644
--- a/README.md
+++ b/README.md
@@ -123,7 +123,6 @@ Telegram is not mandatory. However, this is a great way to control your bot. Mor
 - `/help`: Show help message
 - `/version`: Show version
 
-
 ## Development branches
 
 The project is currently setup in two main branches:
diff --git a/docs/deprecated.md b/docs/deprecated.md
index a7b57b10e..44f0b686a 100644
--- a/docs/deprecated.md
+++ b/docs/deprecated.md
@@ -9,21 +9,20 @@ and are no longer supported. Please avoid their usage in your configuration.
 ### the `--refresh-pairs-cached` command line option
 
 `--refresh-pairs-cached` in the context of backtesting, hyperopt and edge allows to refresh candle data for backtesting.
-Since this leads to much confusion, and slows down backtesting (while not being part of backtesting) this has been singled out 
-as a seperate freqtrade subcommand `freqtrade download-data`.
+Since this leads to much confusion, and slows down backtesting (while not being part of backtesting) this has been singled out as a separate freqtrade sub-command `freqtrade download-data`.
 
-This command line option was deprecated in 2019.7-dev (develop branch) and removed in 2019.9 (master branch).
+This command line option was deprecated in 2019.7-dev (develop branch) and removed in 2019.9.
 
 ### The **--dynamic-whitelist** command line option
 
 This command line option was deprecated in 2018 and removed freqtrade 2019.6-dev (develop branch)
-and in freqtrade 2019.7 (master branch).
+and in freqtrade 2019.7.
 
 ### the `--live` command line option
 
 `--live` in the context of backtesting allowed to download the latest tick data for backtesting.
 Did only download the latest 500 candles, so was ineffective in getting good backtest data.
-Removed in 2019-7-dev (develop branch) and in freqtrade 2019-8 (master branch)
+Removed in 2019-7-dev (develop branch) and in freqtrade 2019.8.
 
 ### Allow running multiple pairlists in sequence
 
@@ -31,6 +30,6 @@ The former `"pairlist"` section in the configuration has been removed, and is re
 
 The old section of configuration parameters (`"pairlist"`) has been deprecated in 2019.11 and has been removed in 2020.4.
 
-### deprecation of bidVolume and askVolume from volumepairlist
+### deprecation of bidVolume and askVolume from volume-pairlist
 
 Since only quoteVolume can be compared between assets, the other options (bidVolume, askVolume) have been deprecated in 2020.4.
diff --git a/tests/rpc/test_rpc_telegram.py b/tests/rpc/test_rpc_telegram.py
index bb63f283a..c962f68db 100644
--- a/tests/rpc/test_rpc_telegram.py
+++ b/tests/rpc/test_rpc_telegram.py
@@ -1127,7 +1127,6 @@ def test_telegram_logs(default_conf, update, mocker) -> None:
     telegram._logs(update=update, context=context)
     assert msg_mock.call_count == 1
     assert "freqtrade\\.rpc\\.telegram" in msg_mock.call_args_list[0][0][0]
-    assert "freqtrade\\.resolvers\\.iresolver" in msg_mock.call_args_list[0][0][0]
 
     msg_mock.reset_mock()
     context.args = ["1"]

From 77f2d46e296aee8c3a6954dc48a74471401f032d Mon Sep 17 00:00:00 2001
From: Matthias 
Date: Sun, 30 Aug 2020 10:11:57 +0200
Subject: [PATCH 244/244] Version bump to 2020.8

---
 freqtrade/__init__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/freqtrade/__init__.py b/freqtrade/__init__.py
index 7d1ef43ad..dd7009cb2 100644
--- a/freqtrade/__init__.py
+++ b/freqtrade/__init__.py
@@ -1,5 +1,5 @@
 """ Freqtrade bot """
-__version__ = '2020.7'
+__version__ = '2020.8'
 
 if __version__ == 'develop':