diff --git a/freqtrade/templates/FreqaiExampleStrategy.py b/freqtrade/templates/FreqaiExampleStrategy.py
index e320c94..bc7b997 100644
--- a/freqtrade/templates/FreqaiExampleStrategy.py
+++ b/freqtrade/templates/FreqaiExampleStrategy.py
@@ -71,30 +71,7 @@ class FreqaiExampleStrategy(IStrategy):
         },
     }
 
-def feature_engineering_expand_all(self, dataframe: DataFrame, period: int, metadata: dict, **kwargs) -> DataFrame:
-    # 保留关键的技术指标
-    dataframe["rsi"] = ta.RSI(dataframe, timeperiod=14)
-    macd = ta.MACD(dataframe, fastperiod=12, slowperiod=26, signalperiod=9)
-    dataframe["macd"] = macd["macd"]
-    dataframe["macdsignal"] = macd["macdsignal"]
-
-    # 保留布林带相关特征
-    bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
-    dataframe["bb_lowerband"] = bollinger["lower"]
-    dataframe["bb_middleband"] = bollinger["mid"]
-    dataframe["bb_upperband"] = bollinger["upper"]
-
-    # 保留成交量相关特征
-    dataframe["volume_ma"] = dataframe["volume"].rolling(window=20).mean()
-
-    # 数据清理
-    for col in dataframe.columns:
-        if dataframe[col].dtype in ["float64", "int64"]:
-            dataframe[col] = dataframe[col].replace([np.inf, -np.inf], np.nan)
-            dataframe[col] = dataframe[col].ffill().fillna(0)
-    
-    logger.info(f"特征工程完成，特征数量：{len(dataframe.columns)}")
-    return dataframe
+    def featcaure_engineering_expand_all(self, dataframe: DataFrame, period: int, metadata: dict, **kwargs) -> DataFrame:
         # 保留关键的技术指标
         dataframe["rsi"] = ta.RSI(dataframe, timeperiod=14)
         macd = ta.MACD(dataframe, fastperiod=12, slowperiod=26, signalperiod=9)