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zhangkun9038@dingtalk.com 2025-04-29 13:57:33 +08:00
parent 02a5cc410f
commit 9490a8e12e
1 changed files with 12 additions and 1 deletions
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freqtrade/templates/FreqaiExampleStrategy.py
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@ -263,19 +263,30 @@ class FreqaiExampleStrategy(IStrategy):
"buy_rsi_pred": 30, # Default RSI buy threshold
"sell_rsi_pred": 70, # Default RSI sell threshold
"stoploss_pred": -0.1, # Default stoploss
"roi_0_pred": 0.038 # Default ROI
"roi_0_pred": 0.038, # Default ROI
"do_predict": 0 # Default prediction flag
}
# Initialize columns before any calculations
for col, default_value in pred_columns.items():
if col not in dataframe.columns:
logger.warning(f"Column {col} missing, initializing with default value {default_value}")
dataframe[col] = default_value
else:
# Ensure column exists and has proper type
if dataframe[col].dtype not in [np.float64, np.int64]:
logger.warning(f"Column {col} has incorrect dtype {dataframe[col].dtype}, converting to float")
dataframe[col] = dataframe[col].astype(float)
# Ensure no NaN values
if dataframe[col].isna().any():
logger.warning(f"Column {col} contains NaN values, filling with default value {default_value}")
dataframe[col] = dataframe[col].fillna(default_value)
# Now perform calculations that depend on these columns
dataframe["sell_rsi_pred"] = dataframe["buy_rsi_pred"] + 20
dataframe["sell_rsi_pred"] = dataframe["sell_rsi_pred"].fillna(dataframe["sell_rsi_pred"].median())
# 检查并处理 NaN 值
for col in pred_columns + ["&-sell_rsi", "&-stoploss", "&-roi_0"]:
if col in dataframe.columns: