with v3
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@ -288,11 +288,15 @@ class FreqaiExampleStrategy(IStrategy):
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if col in ["buy_rsi_pred", "sell_rsi_pred"]:
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dataframe[col] = dataframe[col].clip(lower=10, upper=90) # Keep RSI values within valid range
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# Ensure buy_rsi_pred exists before using it
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# Final validation of buy_rsi_pred
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if "buy_rsi_pred" not in dataframe.columns:
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logger.error("buy_rsi_pred column still missing after initialization, aborting")
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raise ValueError("Failed to initialize required buy_rsi_pred column")
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# Ensure buy_rsi_pred has valid values
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dataframe["buy_rsi_pred"] = dataframe["buy_rsi_pred"].clip(lower=10, upper=90)
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dataframe["buy_rsi_pred"] = dataframe["buy_rsi_pred"].fillna(30)
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# Initialize columns before any calculations
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for col, default_value in pred_columns.items():
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# Create column if it doesn't exist
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@ -319,6 +323,11 @@ class FreqaiExampleStrategy(IStrategy):
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logger.error("buy_rsi_pred column still missing after initialization, aborting")
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raise ValueError("Failed to initialize required buy_rsi_pred column")
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# Ensure buy_rsi_pred exists with proper initialization
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if "buy_rsi_pred" not in dataframe.columns:
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logger.warning("buy_rsi_pred column missing, initializing with default value 30")
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dataframe["buy_rsi_pred"] = 30
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# Now perform calculations that depend on these columns
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dataframe["sell_rsi_pred"] = dataframe["buy_rsi_pred"] + 20
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dataframe["sell_rsi_pred"] = dataframe["sell_rsi_pred"].fillna(dataframe["sell_rsi_pred"].median())
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