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fix: ensure data type is maintained when data comes from cache.
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@@ -113,10 +113,11 @@ def populate_dataframe_with_trades(
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):
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logger.info(f"Using cached orderflow data for {candle_start}")
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# Check if the trades are already in the cache
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cache_idx = cached_grouped_trades.index[
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cached_grouped_trades["date"] == candle_start
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][0]
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for col in ADDED_COLUMNS:
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dataframe.at[index, col] = cached_grouped_trades.loc[
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(cached_grouped_trades["date"] == candle_start), col
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].values
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dataframe.at[index, col] = cached_grouped_trades.at[cache_idx, col]
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continue
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dataframe.at[index, "trades"] = trades_grouped_df.drop(
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