Merge branch 'freqtrade:develop' into strategy_utils
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@@ -163,7 +163,7 @@ class HyperStrategyMixin:
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else:
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logger.info(f'Strategy Parameter(default): {attr_name} = {attr.value}')
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def get_no_optimize_params(self):
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def get_no_optimize_params(self) -> Dict[str, Dict]:
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"""
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Returns list of Parameters that are not part of the current optimize job
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"""
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@@ -173,7 +173,7 @@ class HyperStrategyMixin:
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'protection': {},
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}
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for name, p in self.enumerate_parameters():
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if not p.optimize or not p.in_space:
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if p.category and (not p.optimize or not p.in_space):
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params[p.category][name] = p.value
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return params
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@@ -1083,10 +1083,10 @@ class IStrategy(ABC, HyperStrategyMixin):
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trade.adjust_min_max_rates(high or current_rate, low or current_rate)
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stoplossflag = self.stop_loss_reached(current_rate=current_rate, trade=trade,
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current_time=current_time,
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current_profit=current_profit,
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force_stoploss=force_stoploss, low=low, high=high)
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stoplossflag = self.ft_stoploss_reached(current_rate=current_rate, trade=trade,
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current_time=current_time,
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current_profit=current_profit,
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force_stoploss=force_stoploss, low=low, high=high)
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# Set current rate to high for backtesting exits
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current_rate = (low if trade.is_short else high) or rate
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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 ft_stoploss_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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