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Support multis-strategy backtests with protections
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a3f9cd2c26
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@ -120,8 +120,10 @@ class Backtesting:
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self.fee = self.exchange.get_fee(symbol=self.pairlists.whitelist[0])
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Trade.use_db = False
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Trade.reset_trades()
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PairLocks.timeframe = self.config['timeframe']
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PairLocks.use_db = False
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PairLocks.reset_locks()
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if self.config.get('enable_protections', False):
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self.protections = ProtectionManager(self.config)
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@ -130,6 +132,11 @@ class Backtesting:
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# Load one (first) strategy
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self._set_strategy(self.strategylist[0])
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def __del__(self):
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LoggingMixin.show_output = True
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PairLocks.use_db = True
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Trade.use_db = True
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def _set_strategy(self, strategy):
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"""
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Load strategy into backtesting
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@ -321,6 +328,13 @@ class Backtesting:
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f"max_open_trades: {max_open_trades}, position_stacking: {position_stacking}"
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)
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trades = []
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PairLocks.use_db = False
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Trade.use_db = False
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if enable_protections:
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# Reset persisted data - used for protections only
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PairLocks.reset_locks()
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Trade.reset_trades()
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# Use dict of lists with data for performance
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# (looping lists is a lot faster than pandas DataFrames)
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@ -327,6 +327,14 @@ class Trade(_DECL_BASE):
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'open_order_id': self.open_order_id,
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}
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@staticmethod
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def reset_trades() -> None:
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"""
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Resets all trades. Only active for backtesting mode.
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"""
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if not Trade.use_db:
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Trade.trades = []
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def adjust_min_max_rates(self, current_price: float) -> None:
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"""
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Adjust the max_rate and min_rate.
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@ -21,6 +21,14 @@ class PairLocks():
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timeframe: str = ''
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@staticmethod
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def reset_locks() -> None:
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"""
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Resets all locks. Only active for backtesting mode.
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"""
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if not PairLocks.use_db:
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PairLocks.locks = []
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@staticmethod
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def lock_pair(pair: str, until: datetime, reason: str = None, *, now: datetime = None) -> None:
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"""
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@ -55,8 +55,8 @@ class StoplossGuard(IProtection):
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# trades = Trade.get_trades(filters).all()
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trades1 = Trade.get_trades_proxy(pair=pair, is_open=False, close_date=look_back_until)
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trades = [trade for trade in trades1 if trade.sell_reason == SellType.STOP_LOSS
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or (trade.sell_reason == SellType.TRAILING_STOP_LOSS
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trades = [trade for trade in trades1 if str(trade.sell_reason) == SellType.STOP_LOSS.value
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or (str(trade.sell_reason) == SellType.TRAILING_STOP_LOSS.value
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and trade.close_profit < 0)]
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if len(trades) > self._trade_limit:
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@ -95,6 +95,7 @@ def simple_backtest(config, contour, num_results, mocker, testdatadir) -> None:
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end_date=max_date,
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max_open_trades=1,
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position_stacking=False,
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enable_protections=config.get('enable_protections', False),
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)
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# results :: <class 'pandas.core.frame.DataFrame'>
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assert len(results) == num_results
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@ -532,10 +533,39 @@ def test_processed(default_conf, mocker, testdatadir) -> None:
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def test_backtest_pricecontours(default_conf, fee, mocker, testdatadir) -> None:
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# TODO: Evaluate usefullness of this, the patterns and buy-signls are unrealistic
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mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
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tests = [['raise', 19], ['lower', 0], ['sine', 35]]
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tests = [
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['sine', 35],
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['raise', 19],
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['lower', 0],
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['sine', 35],
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['raise', 19]
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]
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# While buy-signals are unrealistic, running backtesting
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# over and over again should not cause different results
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for [contour, numres] in tests:
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simple_backtest(default_conf, contour, numres, mocker, testdatadir)
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def test_backtest_pricecontours_protections(default_conf, fee, mocker, testdatadir) -> None:
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# TODO: Evaluate usefullness of this, the patterns and buy-signls are unrealistic
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default_conf['protections'] = [
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{
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"method": "CooldownPeriod",
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"stop_duration": 3,
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}]
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default_conf['enable_protections'] = True
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mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
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tests = [
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['sine', 9],
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['raise', 10],
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['lower', 0],
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['sine', 9],
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['raise', 10],
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]
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# While buy-signals are unrealistic, running backtesting
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# over and over again should not cause different results
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for [contour, numres] in tests:
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simple_backtest(default_conf, contour, numres, mocker, testdatadir)
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