diff --git a/strategies/CryptoFutures1m5mStrategy.py b/strategies/CryptoFutures1m5mStrategy.py
index ab811d7..d5f0e04 100644
--- a/strategies/CryptoFutures1m5mStrategy.py
+++ b/strategies/CryptoFutures1m5mStrategy.py
@@ -1,11 +1,19 @@
 # pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
 from freqtrade.strategy import IStrategy, merge_informative_pair
 from pandas import DataFrame
+import pandas as pd
 import talib.abstract as ta
 import numpy as np
 from datetime import datetime
 from typing import Optional
 from freqtrade.persistence import Trade
+import warnings
+
+# 抑制 pandas FutureWarning 关于 fillna 的隐式降级警告
+# 这个警告来自 freqtrade 库的 strategy_helper.py
+warnings.filterwarnings('ignore', category=FutureWarning, message='.*Downcasting object dtype arrays.*')
+# 或者启用未来行为（推荐）
+pd.set_option('future.no_silent_downcasting', True)
 
 # freqtrade trade -c ./user_data/Chan/config/Local_Test.json --strategy CryptoFutures1m5mStrategy --strategy-path ./user_data/Chan/strategies
 # freqtrade backtesting -c ./user_data/Chan/config/Local_Test.json --strategy CryptoFutures1m5mStrategy --strategy-path ./user_data/Chan/strategies --timerange=20260304-
@@ -188,13 +196,13 @@ class CryptoFutures1m5mStrategy(IStrategy):
         ]
         for col in bool_cols:
             if col in dataframe.columns:
-                dataframe[col] = dataframe[col].fillna(False).astype(bool)
+                dataframe[col] = dataframe[col].astype(bool).fillna(False)
         
         num_cols = ['atr_pct_5m_5m', 'rsi_5m_5m', 'macd_hist_5m_5m', 'atr_pct_ma_5m_5m',
                     'ema200_dist_pct_5m', 'ema200_slope_5m']
         for col in num_cols:
             if col in dataframe.columns:
-                dataframe[col] = dataframe[col].fillna(0)
+                dataframe[col] = dataframe[col].astype(float).fillna(0.0)
         
         return dataframe