diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index 870525d..3831441 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -393,37 +393,26 @@ class FreqaiPrimer(IStrategy):
         if 'prev_market_state' not in dataframe.columns:
             dataframe['prev_market_state'] = 'neutral'
 
-        # ======================== 极致激进版入场逻辑 ========================
-        # 只需满足以下3个核心条件中的至少2个
+        # ======================== 简化版入场逻辑 - 只需1个条件满足 ========================
         
-        # 条件1: RSI 超卖（市场自适应）
-        rsi_oversold = dataframe.apply(lambda row:
-            row['rsi_1h'] < 55 if row['prev_market_state'] in ['strong_bull', 'weak_bull']  # 牛市放宽到55
-            else row['rsi_1h'] < self.rsi_oversold.value,  # 熊市使用优化值
-            axis=1)
+        # 条件1: RSI超卖（核心条件）
+        rsi_oversold = dataframe['rsi_1h'] < self.rsi_oversold.value
         
-        # 条件2: 价格低于1小时前的价格（简单下跌判断）
-        price_lower = dataframe['close'] < dataframe['close'].shift(5).mean()  # 比5根K线前更低
+        # 条件2: 价格接近BB下轨
+        price_near_bb_lower = dataframe['close'] <= dataframe['bb_lower_1h'] * self.bb_lower_deviation.value
         
-        # 条件3: MACD 看涨（最宽松的MACD判断）
-        macd_bullish = (
-            (dataframe['macd_1h'] > dataframe['macd_signal_1h']) |  # MACD已上穿
-            (dataframe['macd_1h'] > 0)  # 或MACD本身为正
-        )
+        # 条件3: MACD看涨
+        macd_bullish = dataframe['macd_1h'] > dataframe['macd_signal_1h']
         
-        # 条件4: 避免极度高位（可选保护）
-        not_extreme_high = dataframe['close'] < dataframe['bb_upper_1h'] * 1.10  # 放宽到BB上轨上方10%
+        # 条件4: 避免极高位
+        not_too_high = dataframe['close'] < dataframe['bb_upper_1h']
         
-        # 计算有多少个条件满足
-        condition_count = (
-            rsi_oversold.astype(int) +
-            price_lower.astype(int) +
-            macd_bullish.astype(int) +
-            not_extreme_high.astype(int)
-        )
-        
-        # 只需满足至少2个条件即可入场（极其宽松）
-        final_condition = condition_count >= 2
+        # 只需满足任意1个条件就入场（极其宽松）
+        final_condition = (
+            rsi_oversold |
+            price_near_bb_lower |
+            macd_bullish
+        ) & not_too_high  # 但必须不在极高位
         
         # 设置入场信号
         dataframe.loc[final_condition, 'enter_long'] = 1