diff --git a/freqtrade/templates/OKXRegressionStrategy.py b/freqtrade/templates/OKXRegressionStrategy.py
index 39b0357f..d64d6300 100644
--- a/freqtrade/templates/OKXRegressionStrategy.py
+++ b/freqtrade/templates/OKXRegressionStrategy.py
@@ -318,28 +318,80 @@ class OKXRegressionStrategy(IStrategy):
         :param multiplier: ATR乘数
         :return: 更新后的DataFrame
         """
+        # 获取交易对信息
+        pair = metadata.get('pair', 'unknown')
+        
+        # 设置默认的止损倍数
+        stop_loss_multiplier = 2.0
+        
+        # 根据交易对调整止损倍数（示例：BTC/USDT 更稳定，止损倍数较低）
+        if pair == "BTC/USDT":
+            stop_loss_multiplier = 1.5
+        elif pair == "DOGE/USDT":
+            stop_loss_multiplier = 2.5
+        elif pair == "SOL/USDT":
+            stop_loss_multiplier = 2.0
+        elif pair == "XRP/USDT":
+            stop_loss_multiplier = 2.0
+        
+        # 计算止损线
         dataframe['entry_price'] = dataframe['open'].where(dataframe['enter_long'] == 1).ffill()
-        dataframe['stop_loss_line'] = dataframe['entry_price'] - dataframe[atr_col] * multiplier
+        dataframe['stop_loss_line'] = dataframe['entry_price'] - dataframe[atr_col] * stop_loss_multiplier
 
+        # 应用止损逻辑
         dataframe.loc[
             (dataframe['close'] < dataframe['stop_loss_line']),
             'exit_long'
         ] = 1
 
+        return dataframe
+
+    def _dynamic_take_profit(self, dataframe: DataFrame, metadata: dict, atr_col: str = 'ATR_14', multiplier: float = 2.0) -> DataFrame:
+        """
+        封装动态止盈逻辑，基于入场价和ATR计算止盈线
+        :param dataframe: 原始DataFrame
+        :param metadata: 策略元数据
+        :param atr_col: 使用的ATR列名
+        :param multiplier: ATR乘数
+        :return: 更新后的DataFrame
+        """
+        # 获取交易对信息
+        pair = metadata.get('pair', 'unknown')
+        
+        # 设置默认的止盈倍数
+        take_profit_multiplier = 2.0
+        
+        # 根据交易对调整止盈倍数（示例：BTC/USDT 更稳定，止盈倍数较高）
+        if pair == "BTC/USDT":
+            take_profit_multiplier = 3.0
+        elif pair == "DOGE/USDT":
+            take_profit_multiplier = 1.5
+        elif pair == "SOL/USDT":
+            take_profit_multiplier = 2.0
+        elif pair == "XRP/USDT":
+            take_profit_multiplier = 2.0
+        
+        # 计算止盈线
+        dataframe['entry_price'] = dataframe['open'].where(dataframe['enter_long'] == 1).ffill()
+        dataframe['take_profit_line'] = dataframe['entry_price'] + dataframe[atr_col] * take_profit_multiplier
+
+        # 应用止盈逻辑
+        dataframe.loc[
+            (dataframe['close'] > dataframe['take_profit_line']),
+            'exit_long'
+        ] = 1
+
         return dataframe
     def populate_exit_trend(self, dataframe: DataFrame, metadata: Dict) -> DataFrame:
         # 确保 ATR 列存在
         if 'ATR_14' not in dataframe.columns:
             dataframe['ATR_14'] = 0.0
 
-        # 计算动态止损线
-        dataframe['stop_loss_line'] = dataframe['entry_price'] - (dataframe['ATR_14'] * 2)
+        # 应用动态止损和止盈逻辑
+        dataframe = self._dynamic_stop_loss(dataframe, metadata)
+        dataframe = self._dynamic_take_profit(dataframe, metadata)
 
-        # 发送止损信息
-        self.dp.send_msg(f"ATR: {dataframe['ATR_14'].iloc[-1]:.5f}, Stop Loss Line: {dataframe['stop_loss_line'].iloc[-1]:.5f}")
-
-        # 应用动态止损逻辑
-        return self._dynamic_stop_loss(dataframe, metadata)
+        return dataframe
 
     def custom_stake_amount(self, pair: str, current_time: 'datetime', current_rate: float,
                            proposed_stake: float, min_stake: float, max_stake: float,