*breaking change* simplify user strat by consolidating feature loops into backend
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@@ -281,6 +281,10 @@ class IFreqaiModel(ABC):
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# load the model and associated data into the data kitchen
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self.model = dk.load_data(coin=metadata["pair"])
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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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if not self.model:
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logger.warning(
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f"No model ready for {metadata['pair']}, returning null values to strategy."
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