Extract ft_stoploss_adjust to seperate method
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@ -1153,13 +1153,12 @@ class IStrategy(ABC, HyperStrategyMixin):
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return exits
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def stop_loss_reached(self, current_rate: float, trade: Trade,
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current_time: datetime, current_profit: float,
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force_stoploss: float, low: Optional[float] = None,
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high: Optional[float] = None) -> ExitCheckTuple:
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def ft_stoploss_adjust(self, current_rate: float, trade: Trade,
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current_time: datetime, current_profit: float,
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force_stoploss: float, low: Optional[float] = None,
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high: Optional[float] = None) -> None:
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"""
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Based on current profit of the trade and configured (trailing) stoploss,
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decides to exit or not
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Adjust stop-loss dynamically if configured to do so.
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:param current_profit: current profit as ratio
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:param low: Low value of this candle, only set in backtesting
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:param high: High value of this candle, only set in backtesting
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@ -1205,6 +1204,20 @@ class IStrategy(ABC, HyperStrategyMixin):
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trade.adjust_stop_loss(bound or current_rate, stop_loss_value)
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def stop_loss_reached(self, current_rate: float, trade: Trade,
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current_time: datetime, current_profit: float,
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force_stoploss: float, low: Optional[float] = None,
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high: Optional[float] = None) -> ExitCheckTuple:
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"""
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Based on current profit of the trade and configured (trailing) stoploss,
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decides to exit or not
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:param current_profit: current profit as ratio
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:param low: Low value of this candle, only set in backtesting
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:param high: High value of this candle, only set in backtesting
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"""
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self.ft_stoploss_adjust(current_rate, trade, current_time, current_profit,
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force_stoploss, low, high)
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sl_higher_long = (trade.stop_loss >= (low or current_rate) and not trade.is_short)
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sl_lower_short = (trade.stop_loss <= (high or current_rate) and trade.is_short)
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liq_higher_long = (trade.liquidation_price
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