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Split "enabled" to "load" and "optimize" parameters.

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This commit is contained in:
Rokas Kupstys
2021-03-31 12:31:28 +03:00
parent 6954a1e029
commit 5e5b11d4d6
2 changed files with 27 additions and 17 deletions
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8
freqtrade/optimize/hyperopt_auto.py
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@@ -25,7 +25,8 @@ class HyperOptAuto(IHyperOpt):
def buy_strategy_generator(self, params: Dict[str, Any]) -> Callable:
def populate_buy_trend(dataframe: DataFrame, metadata: dict):
for attr_name, attr in self.strategy.enumerate_parameters('buy'):
attr.value = params[attr_name]
if attr.optimize:
attr.value = params[attr_name]
return self.strategy.populate_buy_trend(dataframe, metadata)
return populate_buy_trend
@@ -33,7 +34,8 @@ class HyperOptAuto(IHyperOpt):
def sell_strategy_generator(self, params: Dict[str, Any]) -> Callable:
def populate_buy_trend(dataframe: DataFrame, metadata: dict):
for attr_name, attr in self.strategy.enumerate_parameters('sell'):
attr.value = params[attr_name]
if attr.optimize:
attr.value = params[attr_name]
return self.strategy.populate_sell_trend(dataframe, metadata)
return populate_buy_trend
@@ -53,7 +55,7 @@ class HyperOptAuto(IHyperOpt):
def _generate_indicator_space(self, category):
for attr_name, attr in self.strategy.enumerate_parameters(category):
if attr.enabled:
if attr.optimize:
yield attr.get_space(attr_name)
def _get_indicator_space(self, category, fallback_method_name):