add explicit metadata argument to example strat, include it with backtesting
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@@ -46,7 +46,7 @@ class FreqaiExampleStrategy(IStrategy):
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std_dev_multiplier_sell = CategoricalParameter(
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[0.75, 1, 1.25, 1.5, 1.75], space="sell", default=1.25, optimize=True)
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def feature_engineering_expand_all(self, dataframe, period, **kwargs):
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def feature_engineering_expand_all(self, dataframe, period, metadata, **kwargs):
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"""
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*Only functional with FreqAI enabled strategies*
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This function will automatically expand the defined features on the config defined
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@@ -58,9 +58,9 @@ class FreqaiExampleStrategy(IStrategy):
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All features must be prepended with `%` to be recognized by FreqAI internals.
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Access metadata such as the current pair/timeframe/period with:
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Access metadata such as the current pair/timeframe with:
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`metadata["pair"]` `metadata["tf"]` `metadata["period"]`
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`metadata["pair"]` `metadata["tf"]`
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More details on how these config defined parameters accelerate feature engineering
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in the documentation at:
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@@ -103,7 +103,7 @@ class FreqaiExampleStrategy(IStrategy):
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return dataframe
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def feature_engineering_expand_basic(self, dataframe, **kwargs):
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def feature_engineering_expand_basic(self, dataframe, metadata, **kwargs):
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"""
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*Only functional with FreqAI enabled strategies*
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This function will automatically expand the defined features on the config defined
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@@ -138,7 +138,7 @@ class FreqaiExampleStrategy(IStrategy):
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dataframe["%-raw_price"] = dataframe["close"]
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return dataframe
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def feature_engineering_standard(self, dataframe, **kwargs):
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def feature_engineering_standard(self, dataframe, metadata, **kwargs):
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"""
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*Only functional with FreqAI enabled strategies*
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This optional function will be called once with the dataframe of the base timeframe.
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@@ -167,7 +167,7 @@ class FreqaiExampleStrategy(IStrategy):
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dataframe["%-hour_of_day"] = dataframe["date"].dt.hour
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return dataframe
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def set_freqai_targets(self, dataframe, **kwargs):
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def set_freqai_targets(self, dataframe, metadata, **kwargs):
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"""
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*Only functional with FreqAI enabled strategies*
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Required function to set the targets for the model.
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