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Merge branch 'develop' into feat/stop_loss

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5
config.json.example
View File

@ -6,7 +6,10 @@
"ticker_interval" : "5m",
"dry_run": false,
"trailing_stop": false,
"unfilledtimeout": 600,
"unfilledtimeout": {
"buy": 10,
"sell": 30
},
"bid_strategy": {
"ask_last_balance": 0.0
},

5
config_full.json.example
View File

@ -14,7 +14,10 @@
"0": 0.04
},
"stoploss": -0.10,
"unfilledtimeout": 600,
"unfilledtimeout": {
"buy": 10,
"sell": 30
},
"bid_strategy": {
"ask_last_balance": 0.0
},

28
docs/backtesting.md
View File

@ -70,6 +70,34 @@ Where `-s TestStrategy` refers to the class name within the strategy file `test_
python3 ./freqtrade/main.py backtesting --export trades
```
The exported trades can be read using the following code for manual analysis, or can be used by the plotting script `plot_dataframe.py` in the scripts folder.
``` python
import json
from pathlib import Path
import pandas as pd
filename=Path('user_data/backtest_data/backtest-result.json')
with filename.open() as file:
data = json.load(file)
columns = ["pair", "profit", "opents", "closets", "index", "duration",
"open_rate", "close_rate", "open_at_end"]
df = pd.DataFrame(data, columns=columns)
df['opents'] = pd.to_datetime(df['opents'],
unit='s',
utc=True,
infer_datetime_format=True
)
df['closets'] = pd.to_datetime(df['closets'],
unit='s',
utc=True,
infer_datetime_format=True
)
```
#### Exporting trades to file specifying a custom filename
```bash

3
docs/configuration.md
View File

@ -27,7 +27,8 @@ The table below will list all configuration parameters.
| `stoploss` | -0.10 | No | Value of the stoploss in percent used by the bot. More information below. If set, this parameter will override `stoploss` from your strategy file.
| `trailing_stoploss` | false | No | Enables trailing stop-loss (based on `stoploss` in either configuration or strategy file).
| `trailing_stoploss_positve` | 0 | No | Changes stop-loss once profit has been reached.
| `unfilledtimeout` | 0 | No | How long (in minutes) the bot will wait for an unfilled order to complete, after which the order will be cancelled.
| `unfilledtimeout.buy` | 10 | Yes | How long (in minutes) the bot will wait for an unfilled buy order to complete, after which the order will be cancelled.
| `unfilledtimeout.sell` | 10 | Yes | How long (in minutes) the bot will wait for an unfilled sell order to complete, after which the order will be cancelled.
| `bid_strategy.ask_last_balance` | 0.0 | Yes | Set the bidding price. More information below.
| `exchange.name` | bittrex | Yes | Name of the exchange class to use. [List below](#user-content-what-values-for-exchangename).
| `exchange.key` | key | No | API key to use for the exchange. Only required when you are in production mode.

8
freqtrade/constants.py
View File

@ -63,7 +63,13 @@ CONF_SCHEMA = {
'stoploss': {'type': 'number', 'maximum': 0, 'exclusiveMaximum': True},
'trailing_stop': {'type': 'boolean'},
'trailing_stop_positive': {'type': 'number', 'minimum': 0, 'maximum': 1},
'unfilledtimeout': {'type': 'integer', 'minimum': 0},
'unfilledtimeout': {
'type': 'object',
'properties': {
'buy': {'type': 'number', 'minimum': 3},
'sell': {'type': 'number', 'minimum': 10}
}
},
'bid_strategy': {
'type': 'object',
'properties': {

26
freqtrade/freqtradebot.py
View File

@ -160,7 +160,7 @@ class FreqtradeBot(object):
if 'unfilledtimeout' in self.config:
# Check and handle any timed out open orders
self.check_handle_timedout(self.config['unfilledtimeout'])
self.check_handle_timedout()
Trade.session.flush()
except TemporaryError as error:
@ -277,11 +277,14 @@ class FreqtradeBot(object):
return None
min_stake_amounts = []
if 'cost' in market['limits'] and 'min' in market['limits']['cost']:
min_stake_amounts.append(market['limits']['cost']['min'])
limits = market['limits']
if ('cost' in limits and 'min' in limits['cost']
and limits['cost']['min'] is not None):
min_stake_amounts.append(limits['cost']['min'])
if 'amount' in market['limits'] and 'min' in market['limits']['amount']:
min_stake_amounts.append(market['limits']['amount']['min'] * price)
if ('amount' in limits and 'min' in limits['amount']
and limits['amount']['min'] is not None):
min_stake_amounts.append(limits['amount']['min'] * price)
if not min_stake_amounts:
return None
@ -492,13 +495,16 @@ with limit `{buy_limit:.8f} ({stake_amount:.6f} \
logger.info('Found no sell signals for whitelisted currencies. Trying again..')
return False
def check_handle_timedout(self, timeoutvalue: int) -> None:
def check_handle_timedout(self) -> None:
"""
Check if any orders are timed out and cancel if neccessary
:param timeoutvalue: Number of minutes until order is considered timed out
:return: None
"""
timeoutthreashold = arrow.utcnow().shift(minutes=-timeoutvalue).datetime
buy_timeout = self.config['unfilledtimeout']['buy']
sell_timeout = self.config['unfilledtimeout']['sell']
buy_timeoutthreashold = arrow.utcnow().shift(minutes=-buy_timeout).datetime
sell_timeoutthreashold = arrow.utcnow().shift(minutes=-sell_timeout).datetime
for trade in Trade.query.filter(Trade.open_order_id.isnot(None)).all():
try:
@ -521,9 +527,11 @@ with limit `{buy_limit:.8f} ({stake_amount:.6f} \
if int(order['remaining']) == 0:
continue
if order['side'] == 'buy' and ordertime < timeoutthreashold:
# Check if trade is still actually open
if order['status'] == 'open':
if order['side'] == 'buy' and ordertime < buy_timeoutthreashold:
self.handle_timedout_limit_buy(trade, order)
elif order['side'] == 'sell' and ordertime < timeoutthreashold:
elif order['side'] == 'sell' and ordertime < sell_timeoutthreashold:
self.handle_timedout_limit_sell(trade, order)
# FIX: 20180110, why is cancel.order unconditionally here, whereas

19
freqtrade/optimize/backtesting.py
View File

@ -38,6 +38,8 @@ class BacktestResult(NamedTuple):
close_index: int
trade_duration: float
open_at_end: bool
open_rate: float
close_rate: float
class Backtesting(object):
@ -116,11 +118,10 @@ class Backtesting(object):
def _store_backtest_result(self, recordfilename: Optional[str], results: DataFrame) -> None:
records = [(trade_entry.pair, trade_entry.profit_percent,
trade_entry.open_time.timestamp(),
trade_entry.close_time.timestamp(),
trade_entry.open_index - 1, trade_entry.trade_duration)
for index, trade_entry in results.iterrows()]
records = [(t.pair, t.profit_percent, t.open_time.timestamp(),
t.close_time.timestamp(), t.open_index - 1, t.trade_duration,
t.open_rate, t.close_rate, t.open_at_end)
for index, t in results.iterrows()]
if records:
logger.info('Dumping backtest results to %s', recordfilename)
@ -159,7 +160,9 @@ class Backtesting(object):
trade_duration=(sell_row.date - buy_row.date).seconds // 60,
open_index=buy_row.Index,
close_index=sell_row.Index,
open_at_end=False
open_at_end=False,
open_rate=buy_row.close,
close_rate=sell_row.close
)
if partial_ticker:
# no sell condition found - trade stil open at end of backtest period
@ -172,7 +175,9 @@ class Backtesting(object):
trade_duration=(sell_row.date - buy_row.date).seconds // 60,
open_index=buy_row.Index,
close_index=sell_row.Index,
open_at_end=True
open_at_end=True,
open_rate=buy_row.close,
close_rate=sell_row.close
)
logger.debug('Force_selling still open trade %s with %s perc - %s', btr.pair,
btr.profit_percent, btr.profit_abs)

5
freqtrade/tests/conftest.py
View File

@ -100,7 +100,10 @@ def default_conf():
"0": 0.04
},
"stoploss": -0.10,
"unfilledtimeout": 600,
"unfilledtimeout": {
"buy": 10,
"sell": 30
},
"bid_strategy": {
"ask_last_balance": 0.0
},

171
freqtrade/tests/exchange/test_exchange.py
View File

@ -14,13 +14,29 @@ from freqtrade.exchange import Exchange, API_RETRY_COUNT
from freqtrade.tests.conftest import log_has, get_patched_exchange
def ccxt_exceptionhandlers(mocker, default_conf, api_mock, fun, mock_ccxt_fun, **kwargs):
"""Function to test ccxt exception handling """
with pytest.raises(TemporaryError):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == API_RETRY_COUNT + 1
with pytest.raises(OperationalException):
api_mock.__dict__[mock_ccxt_fun] = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
getattr(exchange, fun)(**kwargs)
assert api_mock.__dict__[mock_ccxt_fun].call_count == 1
def test_init(default_conf, mocker, caplog):
caplog.set_level(logging.INFO)
get_patched_exchange(mocker, default_conf)
assert log_has('Instance is running with dry_run enabled', caplog.record_tuples)
def test_init_exception(default_conf):
def test_init_exception(default_conf, mocker):
default_conf['exchange']['name'] = 'wrong_exchange_name'
with pytest.raises(
@ -28,6 +44,13 @@ def test_init_exception(default_conf):
match='Exchange {} is not supported'.format(default_conf['exchange']['name'])):
Exchange(default_conf)
default_conf['exchange']['name'] = 'binance'
with pytest.raises(
OperationalException,
match='Exchange {} is not supported'.format(default_conf['exchange']['name'])):
mocker.patch("ccxt.binance", MagicMock(side_effect=AttributeError))
Exchange(default_conf)
def test_validate_pairs(default_conf, mocker):
api_mock = MagicMock()
@ -97,6 +120,20 @@ def test_validate_pairs_stake_exception(default_conf, mocker, caplog):
Exchange(conf)
def test_exchangehas(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf)
assert not exchange.exchange_has('ASDFASDF')
api_mock = MagicMock()
type(api_mock).has = PropertyMock(return_value={'deadbeef': True})
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert exchange.exchange_has("deadbeef")
type(api_mock).has = PropertyMock(return_value={'deadbeef': False})
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert not exchange.exchange_has("deadbeef")
def test_buy_dry_run(default_conf, mocker):
default_conf['dry_run'] = True
exchange = get_patched_exchange(mocker, default_conf)
@ -216,6 +253,11 @@ def test_get_balance_prod(default_conf, mocker):
exchange.get_balance(currency='BTC')
with pytest.raises(TemporaryError, match=r'.*balance due to malformed exchange response:.*'):
exchange = get_patched_exchange(mocker, default_conf, api_mock)
mocker.patch('freqtrade.exchange.Exchange.get_balances', MagicMock(return_value={}))
exchange.get_balance(currency='BTC')
def test_get_balances_dry_run(default_conf, mocker):
default_conf['dry_run'] = True
@ -243,17 +285,8 @@ def test_get_balances_prod(default_conf, mocker):
assert exchange.get_balances()['1ST']['total'] == 10.0
assert exchange.get_balances()['1ST']['used'] == 0.0
with pytest.raises(TemporaryError):
api_mock.fetch_balance = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_balances()
assert api_mock.fetch_balance.call_count == API_RETRY_COUNT + 1
with pytest.raises(OperationalException):
api_mock.fetch_balance = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_balances()
assert api_mock.fetch_balance.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock,
"get_balances", "fetch_balance")
def test_get_tickers(default_conf, mocker):
@ -282,15 +315,8 @@ def test_get_tickers(default_conf, mocker):
assert tickers['BCH/BTC']['bid'] == 0.6
assert tickers['BCH/BTC']['ask'] == 0.5
with pytest.raises(TemporaryError): # test retrier
api_mock.fetch_tickers = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_tickers()
with pytest.raises(OperationalException):
api_mock.fetch_tickers = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_tickers()
ccxt_exceptionhandlers(mocker, default_conf, api_mock,
"get_tickers", "fetch_tickers")
with pytest.raises(OperationalException):
api_mock.fetch_tickers = MagicMock(side_effect=ccxt.NotSupported)
@ -345,15 +371,9 @@ def test_get_ticker(default_conf, mocker):
exchange.get_ticker(pair='ETH/BTC', refresh=False)
assert api_mock.fetch_ticker.call_count == 0
with pytest.raises(TemporaryError): # test retrier
api_mock.fetch_ticker = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_ticker(pair='ETH/BTC', refresh=True)
with pytest.raises(OperationalException):
api_mock.fetch_ticker = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_ticker(pair='ETH/BTC', refresh=True)
ccxt_exceptionhandlers(mocker, default_conf, api_mock,
"get_ticker", "fetch_ticker",
pair='ETH/BTC', refresh=True)
api_mock.fetch_ticker = MagicMock(return_value={})
exchange = get_patched_exchange(mocker, default_conf, api_mock)
@ -416,17 +436,14 @@ def test_get_ticker_history(default_conf, mocker):
assert ticks[0][4] == 9
assert ticks[0][5] == 10
with pytest.raises(TemporaryError): # test retrier
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# new symbol to get around cache
exchange.get_ticker_history('ABCD/BTC', default_conf['ticker_interval'])
ccxt_exceptionhandlers(mocker, default_conf, api_mock,
"get_ticker_history", "fetch_ohlcv",
pair='ABCD/BTC', tick_interval=default_conf['ticker_interval'])
with pytest.raises(OperationalException):
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.BaseError)
with pytest.raises(OperationalException, match=r'Exchange .* does not support.*'):
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.NotSupported)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
# new symbol to get around cache
exchange.get_ticker_history('EFGH/BTC', default_conf['ticker_interval'])
exchange.get_ticker_history(pair='ABCD/BTC', tick_interval=default_conf['ticker_interval'])
def test_get_ticker_history_sort(default_conf, mocker):
@ -515,24 +532,15 @@ def test_cancel_order(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert exchange.cancel_order(order_id='_', pair='TKN/BTC') == 123
with pytest.raises(TemporaryError):
api_mock.cancel_order = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.cancel_order(order_id='_', pair='TKN/BTC')
assert api_mock.cancel_order.call_count == API_RETRY_COUNT + 1
with pytest.raises(DependencyException):
api_mock.cancel_order = MagicMock(side_effect=ccxt.InvalidOrder)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.cancel_order(order_id='_', pair='TKN/BTC')
assert api_mock.cancel_order.call_count == API_RETRY_COUNT + 1
with pytest.raises(OperationalException):
api_mock.cancel_order = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.cancel_order(order_id='_', pair='TKN/BTC')
assert api_mock.cancel_order.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock,
"cancel_order", "cancel_order",
order_id='_', pair='TKN/BTC')
def test_get_order(default_conf, mocker):
@ -550,23 +558,15 @@ def test_get_order(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf, api_mock)
assert exchange.get_order('X', 'TKN/BTC') == 456
with pytest.raises(TemporaryError):
api_mock.fetch_order = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == API_RETRY_COUNT + 1
with pytest.raises(DependencyException):
api_mock.fetch_order = MagicMock(side_effect=ccxt.InvalidOrder)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == API_RETRY_COUNT + 1
with pytest.raises(OperationalException):
api_mock.fetch_order = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_order(order_id='_', pair='TKN/BTC')
assert api_mock.fetch_order.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock,
'get_order', 'fetch_order',
order_id='_', pair='TKN/BTC')
def test_name(default_conf, mocker):
@ -651,19 +651,12 @@ def test_get_trades_for_order(default_conf, mocker):
assert len(orders) == 1
assert orders[0]['price'] == 165
# test Exceptions
with pytest.raises(OperationalException):
api_mock = MagicMock()
api_mock.fetch_my_trades = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_trades_for_order(order_id, 'LTC/BTC', since)
ccxt_exceptionhandlers(mocker, default_conf, api_mock,
'get_trades_for_order', 'fetch_my_trades',
order_id=order_id, pair='LTC/BTC', since=since)
with pytest.raises(TemporaryError):
api_mock = MagicMock()
api_mock.fetch_my_trades = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_trades_for_order(order_id, 'LTC/BTC', since)
assert api_mock.fetch_my_trades.call_count == API_RETRY_COUNT + 1
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=False))
assert exchange.get_trades_for_order(order_id, 'LTC/BTC', since) == []
def test_get_markets(default_conf, mocker, markets):
@ -677,19 +670,8 @@ def test_get_markets(default_conf, mocker, markets):
assert ret[0]["id"] == "ethbtc"
assert ret[0]["symbol"] == "ETH/BTC"
# test Exceptions
with pytest.raises(OperationalException):
api_mock = MagicMock()
api_mock.fetch_markets = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_markets()
with pytest.raises(TemporaryError):
api_mock = MagicMock()
api_mock.fetch_markets = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_markets()
assert api_mock.fetch_markets.call_count == API_RETRY_COUNT + 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock,
'get_markets', 'fetch_markets')
def test_get_fee(default_conf, mocker):
@ -704,19 +686,8 @@ def test_get_fee(default_conf, mocker):
assert exchange.get_fee() == 0.025
# test Exceptions
with pytest.raises(OperationalException):
api_mock = MagicMock()
api_mock.calculate_fee = MagicMock(side_effect=ccxt.BaseError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_fee()
with pytest.raises(TemporaryError):
api_mock = MagicMock()
api_mock.calculate_fee = MagicMock(side_effect=ccxt.NetworkError)
exchange = get_patched_exchange(mocker, default_conf, api_mock)
exchange.get_fee()
assert api_mock.calculate_fee.call_count == API_RETRY_COUNT + 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock,
'get_fee', 'calculate_fee')
def test_get_amount_lots(default_conf, mocker):

18
freqtrade/tests/optimize/test_backtesting.py
View File

@ -627,9 +627,13 @@ def test_backtest_record(default_conf, fee, mocker):
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],
"open_index": [1, 119, 153, 185],
"close_index": [118, 151, 184, 199],
"trade_duration": [123, 34, 31, 14]})
"trade_duration": [123, 34, 31, 14],
"open_at_end": [False, False, False, True]
})
backtesting._store_backtest_result("backtest-result.json", results)
assert len(results) == 4
# Assert file_dump_json was only called once
@ -640,12 +644,16 @@ def test_backtest_record(default_conf, fee, mocker):
# ('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) in records:
for (pair, profit, date_buy, date_sell, buy_index, dur,
openr, closer, open_at_end) in records:
assert pair == 'UNITTEST/BTC'
isinstance(profit, float)
assert isinstance(profit, float)
# FIX: buy/sell should be converted to ints
isinstance(date_buy, str)
isinstance(date_sell, str)
assert isinstance(date_buy, float)
assert isinstance(date_sell, float)
assert isinstance(openr, float)
assert isinstance(closer, float)
assert isinstance(open_at_end, bool)
isinstance(buy_index, pd._libs.tslib.Timestamp)
if oix:
assert buy_index > oix

40
freqtrade/tests/test_freqtradebot.py
View File

@ -348,6 +348,34 @@ def test_get_min_pair_stake_amount(mocker, default_conf) -> None:
result = freqtrade._get_min_pair_stake_amount('ETH/BTC', 1)
assert result is None
# no cost Min
mocker.patch(
'freqtrade.exchange.Exchange.get_markets',
MagicMock(return_value=[{
'symbol': 'ETH/BTC',
'limits': {
'cost': {"min": None},
'amount': {}
}
}])
)
result = freqtrade._get_min_pair_stake_amount('ETH/BTC', 1)
assert result is None
# no amount Min
mocker.patch(
'freqtrade.exchange.Exchange.get_markets',
MagicMock(return_value=[{
'symbol': 'ETH/BTC',
'limits': {
'cost': {},
'amount': {"min": None}
}
}])
)
result = freqtrade._get_min_pair_stake_amount('ETH/BTC', 1)
assert result is None
# empty 'cost'/'amount' section
mocker.patch(
'freqtrade.exchange.Exchange.get_markets',
@ -1124,7 +1152,7 @@ def test_check_handle_timedout_buy(default_conf, ticker, limit_buy_order_old, fe
Trade.session.add(trade_buy)
# check it does cancel buy orders over the time limit
freqtrade.check_handle_timedout(600)
freqtrade.check_handle_timedout()
assert cancel_order_mock.call_count == 1
assert rpc_mock.call_count == 1
trades = Trade.query.filter(Trade.open_order_id.is_(trade_buy.open_order_id)).all()
@ -1165,7 +1193,7 @@ def test_check_handle_timedout_sell(default_conf, ticker, limit_sell_order_old,
Trade.session.add(trade_sell)
# check it does cancel sell orders over the time limit
freqtrade.check_handle_timedout(600)
freqtrade.check_handle_timedout()
assert cancel_order_mock.call_count == 1
assert rpc_mock.call_count == 1
assert trade_sell.is_open is True
@ -1205,7 +1233,7 @@ def test_check_handle_timedout_partial(default_conf, ticker, limit_buy_order_old
# check it does cancel buy orders over the time limit
# note this is for a partially-complete buy order
freqtrade.check_handle_timedout(600)
freqtrade.check_handle_timedout()
assert cancel_order_mock.call_count == 1
assert rpc_mock.call_count == 1
trades = Trade.query.filter(Trade.open_order_id.is_(trade_buy.open_order_id)).all()
@ -1256,7 +1284,7 @@ def test_check_handle_timedout_exception(default_conf, ticker, mocker, caplog) -
'recent call last):\n.*'
)
freqtrade.check_handle_timedout(600)
freqtrade.check_handle_timedout()
assert filter(regexp.match, caplog.record_tuples)
@ -1599,6 +1627,7 @@ def test_sell_profit_only_disable_loss(default_conf, limit_buy_order, fee, marke
}),
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_fee=fee,
get_markets=markets
)
conf = deepcopy(default_conf)
@ -1616,7 +1645,7 @@ def test_sell_profit_only_disable_loss(default_conf, limit_buy_order, fee, marke
assert freqtrade.handle_trade(trade) is True
def test_ignore_roi_if_buy_signal(default_conf, limit_buy_order, fee, mocker) -> None:
def test_ignore_roi_if_buy_signal(default_conf, limit_buy_order, fee, markets, mocker) -> None:
"""
Test sell_profit_only feature when enabled and we have a loss
"""
@ -1634,6 +1663,7 @@ def test_ignore_roi_if_buy_signal(default_conf, limit_buy_order, fee, mocker) ->
}),
buy=MagicMock(return_value={'id': limit_buy_order['id']}),
get_fee=fee,
get_markets=markets
)
conf = deepcopy(default_conf)

4
requirements.txt
View File

@ -1,5 +1,5 @@
ccxt==1.14.272
SQLAlchemy==1.2.8
ccxt==1.14.301
SQLAlchemy==1.2.9
python-telegram-bot==10.1.0
arrow==0.12.1
cachetools==2.1.0

84
scripts/plot_dataframe.py
View File

@ -25,11 +25,13 @@ Example of usage:
--indicators2 fastk,fastd
"""
import logging
import os
import sys
import json
from pathlib import Path
from argparse import Namespace
from typing import Dict, List, Any
import pandas as pd
import plotly.graph_objs as go
from plotly import tools
from plotly.offline import plot
@ -37,7 +39,7 @@ from plotly.offline import plot
import freqtrade.optimize as optimize
from freqtrade import persistence
from freqtrade.analyze import Analyze
from freqtrade.arguments import Arguments
from freqtrade.arguments import Arguments, TimeRange
from freqtrade.exchange import Exchange
from freqtrade.optimize.backtesting import setup_configuration
from freqtrade.persistence import Trade
@ -46,6 +48,45 @@ logger = logging.getLogger(__name__)
_CONF: Dict[str, Any] = {}
def load_trades(args: Namespace, pair: str, timerange: TimeRange) -> pd.DataFrame:
trades: pd.DataFrame = pd.DataFrame()
if args.db_url:
persistence.init(_CONF)
columns = ["pair", "profit", "opents", "closets", "open_rate", "close_rate", "duration"]
trades = pd.DataFrame([(t.pair, t.calc_profit(),
t.open_date, t.close_date,
t.open_rate, t.close_rate,
t.close_date.timestamp() - t.open_date.timestamp())
for t in Trade.query.filter(Trade.pair.is_(pair)).all()],
columns=columns)
if args.exportfilename:
file = Path(args.exportfilename)
# must align with columns in backtest.py
columns = ["pair", "profit", "opents", "closets", "index", "duration",
"open_rate", "close_rate", "open_at_end"]
with file.open() as f:
data = json.load(f)
trades = pd.DataFrame(data, columns=columns)
trades = trades.loc[trades["pair"] == pair]
if timerange:
if timerange.starttype == 'date':
trades = trades.loc[trades["opents"] >= timerange.startts]
if timerange.stoptype == 'date':
trades = trades.loc[trades["opents"] <= timerange.stopts]
trades['opents'] = pd.to_datetime(trades['opents'],
unit='s',
utc=True,
infer_datetime_format=True)
trades['closets'] = pd.to_datetime(trades['closets'],
unit='s',
utc=True,
infer_datetime_format=True)
return trades
def plot_analyzed_dataframe(args: Namespace) -> None:
"""
Calls analyze() and plots the returned dataframe
@ -102,31 +143,32 @@ def plot_analyzed_dataframe(args: Namespace) -> None:
if tickers == {}:
exit()
if args.db_url and args.exportfilename:
logger.critical("Can only specify --db-url or --export-filename")
# Get trades already made from the DB
trades: List[Trade] = []
if args.db_url:
persistence.init(_CONF)
trades = Trade.query.filter(Trade.pair.is_(pair)).all()
trades = load_trades(args, pair, timerange)
dataframes = analyze.tickerdata_to_dataframe(tickers)
dataframe = dataframes[pair]
dataframe = analyze.populate_buy_trend(dataframe)
dataframe = analyze.populate_sell_trend(dataframe)
if len(dataframe.index) > 750:
logger.warning('Ticker contained more than 750 candles, clipping.')
if len(dataframe.index) > args.plot_limit:
logger.warning('Ticker contained more than %s candles as defined '
'with --plot-limit, clipping.', args.plot_limit)
dataframe = dataframe.tail(args.plot_limit)
trades = trades.loc[trades['opents'] >= dataframe.iloc[0]['date']]
fig = generate_graph(
pair=pair,
trades=trades,
data=dataframe.tail(750),
data=dataframe,
args=args
)
plot(fig, filename=os.path.join('user_data', 'freqtrade-plot.html'))
plot(fig, filename=str(Path('user_data').joinpath('freqtrade-plot.html')))
def generate_graph(pair, trades, data, args) -> tools.make_subplots:
def generate_graph(pair, trades: pd.DataFrame, data: pd.DataFrame, args) -> tools.make_subplots:
"""
Generate the graph from the data generated by Backtesting or from DB
:param pair: Pair to Display on the graph
@ -187,8 +229,8 @@ def generate_graph(pair, trades, data, args) -> tools.make_subplots:
)
trade_buys = go.Scattergl(
x=[t.open_date.isoformat() for t in trades],
y=[t.open_rate for t in trades],
x=trades["opents"],
y=trades["open_rate"],
mode='markers',
name='trade_buy',
marker=dict(
@ -199,8 +241,8 @@ def generate_graph(pair, trades, data, args) -> tools.make_subplots:
)
)
trade_sells = go.Scattergl(
x=[t.close_date.isoformat() for t in trades],
y=[t.close_rate for t in trades],
x=trades["closets"],
y=trades["close_rate"],
mode='markers',
name='trade_sell',
marker=dict(
@ -299,11 +341,17 @@ def plot_parse_args(args: List[str]) -> Namespace:
default='macd',
dest='indicators2',
)
arguments.parser.add_argument(
'--plot-limit',
help='Specify tick limit for plotting - too high values cause huge files - '
'Default: %(default)s',
dest='plot_limit',
default=750,
type=int,
)
arguments.common_args_parser()
arguments.optimizer_shared_options(arguments.parser)
arguments.backtesting_options(arguments.parser)
return arguments.parse_args()