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Merge branch 'develop' into relative_stake
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commit
a75420f75f
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@ -78,13 +78,17 @@ Please also read about the [strategy startup period](strategy-customization.md#s
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#### Supplying custom fee value
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Sometimes your account has certain fee rebates (fee reductions starting with a certain account size or monthly volume), which are not visible to ccxt.
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To account for this in backtesting, you can use `--fee 0.001` to supply this value to backtesting.
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This fee must be a percentage, and will be applied twice (once for trade entry, and once for trade exit).
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To account for this in backtesting, you can use the `--fee` command line option to supply this value to backtesting.
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This fee must be a ratio, and will be applied twice (once for trade entry, and once for trade exit).
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For example, if the buying and selling commission fee is 0.1% (i.e., 0.001 written as ratio), then you would run backtesting as the following:
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```bash
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freqtrade backtesting --fee 0.001
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```
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!!! Note
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Only supply this option (or the corresponding configuration parameter) if you want to experiment with different fee values. By default, Backtesting fetches the default fee from the exchange pair/market info.
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#### Running backtest with smaller testset by using timerange
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@ -270,3 +270,18 @@ The easiest way is to download install Microsoft Visual Studio Community [here](
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Now you have an environment ready, the next step is
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[Bot Configuration](configuration.md).
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## Troubleshooting
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### MacOS installation error
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Newer versions of MacOS may have installation failed with errors like `error: command 'g++' failed with exit status 1`.
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This error will require explicit installation of the SDK Headers, which are not installed by default in this version of MacOS.
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For MacOS 10.14, this can be accomplished with the below command.
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``` bash
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open /Library/Developer/CommandLineTools/Packages/macOS_SDK_headers_for_macOS_10.14.pkg
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```
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If this file is inexistant, then you're probably on a different version of MacOS, so you may need to consult the internet for specific resolution details.
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@ -1,4 +1,5 @@
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import logging
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from copy import deepcopy
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from typing import Any, Dict
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from jsonschema import Draft4Validator, validators
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@ -42,15 +43,25 @@ def validate_config_schema(conf: Dict[str, Any]) -> Dict[str, Any]:
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:param conf: Config in JSON format
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:return: Returns the config if valid, otherwise throw an exception
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"""
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conf_schema = deepcopy(constants.CONF_SCHEMA)
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if conf.get('runmode', RunMode.OTHER) in (RunMode.DRY_RUN, RunMode.LIVE):
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conf_schema['required'] = constants.SCHEMA_TRADE_REQUIRED
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else:
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conf_schema['required'] = constants.SCHEMA_MINIMAL_REQUIRED
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# Dynamically allow empty stake-currency
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# Since the minimal config specifies this too.
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# It's not allowed for Dry-run or live modes
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conf_schema['properties']['stake_currency']['enum'] += [''] # type: ignore
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try:
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FreqtradeValidator(constants.CONF_SCHEMA).validate(conf)
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FreqtradeValidator(conf_schema).validate(conf)
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return conf
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except ValidationError as e:
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logger.critical(
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f"Invalid configuration. See config.json.example. Reason: {e}"
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)
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raise ValidationError(
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best_match(Draft4Validator(constants.CONF_SCHEMA).iter_errors(conf)).message
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best_match(Draft4Validator(conf_schema).iter_errors(conf)).message
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)
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@ -275,16 +275,22 @@ CONF_SCHEMA = {
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'required': ['process_throttle_secs', 'allowed_risk']
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}
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},
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'required': [
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'exchange',
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'max_open_trades',
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'stake_currency',
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'stake_amount',
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'dry_run',
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'dry_run_wallet',
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'bid_strategy',
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'unfilledtimeout',
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'stoploss',
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'minimal_roi',
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]
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}
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SCHEMA_TRADE_REQUIRED = [
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'exchange',
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'max_open_trades',
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'stake_currency',
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'stake_amount',
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'dry_run',
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'dry_run_wallet',
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'bid_strategy',
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'unfilledtimeout',
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'stoploss',
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'minimal_roi',
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]
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SCHEMA_MINIMAL_REQUIRED = [
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'exchange',
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'dry_run',
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]
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@ -47,7 +47,7 @@ def load_backtest_data(filename) -> pd.DataFrame:
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utc=True,
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infer_datetime_format=True
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)
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df['profitabs'] = df['close_rate'] - df['open_rate']
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df['profit'] = df['close_rate'] - df['open_rate']
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df = df.sort_values("open_time").reset_index(drop=True)
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return df
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@ -419,8 +419,6 @@ class FreqtradeBot:
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:param pair: pair for which we want to create a LIMIT_BUY
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:return: None
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"""
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stake_currency = self.config['stake_currency']
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fiat_currency = self.config.get('fiat_display_currency', None)
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time_in_force = self.strategy.order_time_in_force['buy']
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if price:
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@ -477,17 +475,6 @@ class FreqtradeBot:
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amount = order['amount']
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buy_limit_filled_price = order['price']
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self.rpc.send_msg({
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'type': RPCMessageType.BUY_NOTIFICATION,
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'exchange': self.exchange.name.capitalize(),
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'pair': pair,
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'limit': buy_limit_filled_price,
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'order_type': order_type,
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'stake_amount': stake_amount,
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'stake_currency': stake_currency,
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'fiat_currency': fiat_currency
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})
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# Fee is applied twice because we make a LIMIT_BUY and LIMIT_SELL
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fee = self.exchange.get_fee(symbol=pair, taker_or_maker='maker')
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trade = Trade(
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@ -505,6 +492,8 @@ class FreqtradeBot:
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ticker_interval=timeframe_to_minutes(self.config['ticker_interval'])
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)
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self._notify_buy(trade, order_type)
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# Update fees if order is closed
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if order_status == 'closed':
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self.update_trade_state(trade, order)
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@ -517,6 +506,24 @@ class FreqtradeBot:
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return True
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def _notify_buy(self, trade: Trade, order_type: str):
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"""
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Sends rpc notification when a buy occured.
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"""
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msg = {
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'type': RPCMessageType.BUY_NOTIFICATION,
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'exchange': self.exchange.name.capitalize(),
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'pair': trade.pair,
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'limit': trade.open_rate,
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'order_type': order_type,
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'stake_amount': trade.stake_amount,
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'stake_currency': self.config['stake_currency'],
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'fiat_currency': self.config.get('fiat_display_currency', None),
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}
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# Send the message
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self.rpc.send_msg(msg)
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#
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# SELL / exit positions / close trades logic and methods
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#
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except InvalidOrderException:
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logger.exception(f"Could not cancel stoploss order {trade.stoploss_order_id}")
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ordertype = self.strategy.order_types[sell_type]
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order_type = self.strategy.order_types[sell_type]
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if sell_reason == SellType.EMERGENCY_SELL:
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# Emergencysells (default to market!)
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ordertype = self.strategy.order_types.get("emergencysell", "market")
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order_type = self.strategy.order_types.get("emergencysell", "market")
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amount = self._safe_sell_amount(trade.pair, trade.amount)
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# Execute sell and update trade record
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order = self.exchange.sell(pair=str(trade.pair),
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ordertype=ordertype,
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ordertype=order_type,
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amount=amount, rate=limit,
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time_in_force=self.strategy.order_time_in_force['sell']
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)
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@ -944,7 +951,7 @@ class FreqtradeBot:
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# Lock pair for one candle to prevent immediate rebuys
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self.strategy.lock_pair(trade.pair, timeframe_to_next_date(self.config['ticker_interval']))
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self._notify_sell(trade, ordertype)
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self._notify_sell(trade, order_type)
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def _notify_sell(self, trade: Trade, order_type: str):
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"""
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@ -971,16 +978,13 @@ class FreqtradeBot:
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'profit_percent': profit_percent,
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'sell_reason': trade.sell_reason,
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'open_date': trade.open_date,
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'close_date': trade.close_date or datetime.utcnow()
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'close_date': trade.close_date or datetime.utcnow(),
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'stake_currency': self.config['stake_currency'],
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}
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# For regular case, when the configuration exists
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if 'stake_currency' in self.config and 'fiat_display_currency' in self.config:
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stake_currency = self.config['stake_currency']
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fiat_currency = self.config['fiat_display_currency']
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if 'fiat_display_currency' in self.config:
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msg.update({
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'stake_currency': stake_currency,
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'fiat_currency': fiat_currency,
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'fiat_currency': self.config['fiat_display_currency'],
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})
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# Send the message
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@ -120,8 +120,8 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
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)
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)
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# Create description for sell summarizing the trade
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desc = trades.apply(lambda row: f"{round(row['profitperc'], 3)}%, {row['sell_reason']}, "
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f"{row['duration']} min",
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desc = trades.apply(lambda row: f"{round(row['profitperc'] * 100, 1)}%, "
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f"{row['sell_reason']}, {row['duration']} min",
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axis=1)
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trade_sells = go.Scatter(
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x=trades["close_time"],
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@ -12,7 +12,8 @@ from colorama import init as colorama_init
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from tabulate import tabulate
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from freqtrade.configuration import (Configuration, TimeRange,
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remove_credentials)
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remove_credentials,
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validate_config_consistency)
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from freqtrade.configuration.directory_operations import (copy_sample_files,
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create_userdata_dir)
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from freqtrade.constants import USERPATH_HYPEROPTS, USERPATH_STRATEGY
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@ -40,6 +41,7 @@ def setup_utils_configuration(args: Dict[str, Any], method: RunMode) -> Dict[str
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# Ensure we do not use Exchange credentials
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remove_credentials(config)
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validate_config_consistency(config)
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return config
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@ -20,7 +20,7 @@ def test_load_backtest_data(testdatadir):
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filename = testdatadir / "backtest-result_test.json"
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bt_data = load_backtest_data(filename)
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assert isinstance(bt_data, DataFrame)
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assert list(bt_data.columns) == BT_DATA_COLUMNS + ["profitabs"]
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assert list(bt_data.columns) == BT_DATA_COLUMNS + ["profit"]
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assert len(bt_data) == 179
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# Test loading from string (must yield same result)
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@ -49,6 +49,7 @@ def test_load_config_missing_attributes(default_conf) -> None:
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conf = deepcopy(default_conf)
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conf.pop('stake_currency')
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conf['runmode'] = RunMode.DRY_RUN
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with pytest.raises(ValidationError, match=r".*'stake_currency' is a required property.*"):
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validate_config_schema(conf)
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@ -119,6 +119,7 @@ def test_plot_trades(testdatadir, caplog):
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assert trade_sell.yaxis == 'y'
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assert len(trades) == len(trade_sell.x)
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assert trade_sell.marker.color == 'red'
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assert trade_sell.text[0] == "4.0%, roi, 15 min"
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def test_generate_candlestick_graph_no_signals_no_trades(default_conf, mocker, testdatadir, caplog):
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