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Extract _if_enabled_populate_trades

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This commit is contained in:
Joe Schr 2024-02-12 10:17:48 +01:00
parent 71e36be34b
commit c85ded14d1
1 changed files with 17 additions and 16 deletions
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33
freqtrade/strategy/interface.py
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@ -1394,22 +1394,7 @@ class IStrategy(ABC, HyperStrategyMixin):
dataframe = self.advise_exit(dataframe, metadata)
return dataframe
def advise_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Populate indicators that will be used in the Buy, Sell, short, exit_short strategy
This method should not be overridden.
:param dataframe: Dataframe with data from the exchange
:param metadata: Additional information, like the currently traded pair
:return: a Dataframe with all mandatory indicators for the strategies
"""
logger.debug(f"Populating indicators for pair {metadata.get('pair')}.")
# call populate_indicators_Nm() which were tagged with @informative decorator.
for inf_data, populate_fn in self._ft_informative:
dataframe = _create_and_merge_informative_pair(
self, dataframe, metadata, inf_data, populate_fn)
# TODO: extract this into a separate method e.g. if_enabled_populate_trades()
def _if_enabled_populate_trades(self, dataframe: DataFrame, metadata: dict):
use_public_trades = self.config.get('exchange', {}).get('use_public_trades', False)
if use_public_trades:
trades = self.dp.trades(pair=metadata['pair'], copy=False)
@ -1425,6 +1410,22 @@ class IStrategy(ABC, HyperStrategyMixin):
logger.debug("Populated dataframe with trades.")
def advise_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Populate indicators that will be used in the Buy, Sell, short, exit_short strategy
This method should not be overridden.
:param dataframe: Dataframe with data from the exchange
:param metadata: Additional information, like the currently traded pair
:return: a Dataframe with all mandatory indicators for the strategies
"""
logger.debug(f"Populating indicators for pair {metadata.get('pair')}.")
# call populate_indicators_Nm() which were tagged with @informative decorator.
for inf_data, populate_fn in self._ft_informative:
dataframe = _create_and_merge_informative_pair(
self, dataframe, metadata, inf_data, populate_fn)
self._if_enabled_populate_trades(dataframe, metadata)
return self.populate_indicators(dataframe, metadata)
def advise_entry(self, dataframe: DataFrame, metadata: dict) -> DataFrame: