make sure backtesting gets the populated indicators with slimmed down user strat
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@ -106,6 +106,10 @@ class IFreqaiModel(ABC):
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elif not self.follow_mode:
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self.dk = FreqaiDataKitchen(self.config, self.dd, self.live, metadata["pair"])
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logger.info(f"Training {len(self.dk.training_timeranges)} timeranges")
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dataframe = self.dk.use_strategy_to_populate_indicators(
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strategy, prediction_dataframe=dataframe, pair=metadata["pair"]
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)
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dk = self.start_backtesting(dataframe, metadata, self.dk)
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dataframe = self.remove_features_from_df(dk.return_dataframe)
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