diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index d55352d0..ea2192a1 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -682,32 +682,23 @@ class FreqaiPrimer(IStrategy):
         # 这样既能捕捉趋势启动，又能在趋势延续时继续入场
         
         # ========== KDJ 过滤逻辑（1h + 3m 组合）==========
-        # 1h KDJ：大级别底部确认/方向过滤
-        kdj_1h_filter = True
-        if 'kdj_k_1h' in dataframe.columns and 'kdj_j_1h' in dataframe.columns:
-            # 1h 允许做多条件（宽松版）：
-            # - K < 40 且 J 上拐（J[t] > J[t-1]）
-            # - 或 K 从 <20 上穿 20（从超卖区抬头）
-            kdj_1h_low_upturn = (dataframe['kdj_k_1h'] < 40) & (dataframe['kdj_j_1h'] > dataframe['kdj_j_1h'].shift(1))
-            kdj_1h_from_oversold = (dataframe['kdj_k_1h'] >= 20) & (dataframe['kdj_k_1h'].shift(1) < 20)
-            kdj_1h_allow = kdj_1h_low_upturn | kdj_1h_from_oversold
-            
-            # 1h 禁止做多条件：K > 80 且 J 下拐
-            kdj_1h_block = (dataframe['kdj_k_1h'] > 80) & (dataframe['kdj_j_1h'] < dataframe['kdj_j_1h'].shift(1))
-            
-            # 最终过滤：允许且不被禁止
-            kdj_1h_filter = kdj_1h_allow & ~kdj_1h_block
+        # KDJ 作为辅助信号，不作为强制条件
         
-        # 3m KDJ：具体入场触发
-        kdj_3m_trigger = True
+        # 1h KDJ：大级别底部确认/方向过滤（只禁止极端高位）
+        kdj_1h_block = False
+        if 'kdj_k_1h' in dataframe.columns and 'kdj_j_1h' in dataframe.columns:
+            # 只禁止极端高位：K > 85 且 J 下拐
+            kdj_1h_block = (dataframe['kdj_k_1h'] > 85) & (dataframe['kdj_j_1h'] < dataframe['kdj_j_1h'].shift(1))
+        
+        # 3m KDJ：作为额外加分条件（满足则增加信号质量）
+        kdj_3m_bonus = 0
         if 'kdj_k_3m' in dataframe.columns and 'kdj_d_3m' in dataframe.columns:
-            # 3m 低位金叉：K < 30 且 K 上穿 D
-            kdj_3m_golden_cross = (dataframe['kdj_k_3m'] < 30) & (dataframe['kdj_k_3m'] > dataframe['kdj_d_3m']) & (dataframe['kdj_k_3m'].shift(1) <= dataframe['kdj_d_3m'].shift(1))
-            
-            # 可选：J 从 <0 回到 0 以上（防抖）
+            # 3m 低位金叉：K < 40 且 K 上穿 D（放宽到 40）
+            kdj_3m_golden_cross = (dataframe['kdj_k_3m'] < 40) & (dataframe['kdj_k_3m'] > dataframe['kdj_d_3m']) & (dataframe['kdj_k_3m'].shift(1) <= dataframe['kdj_d_3m'].shift(1))
+            # 或 J 从负值区回正
             kdj_3m_j_recovery = (dataframe['kdj_j_3m'] > 0) & (dataframe['kdj_j_3m'].shift(1) <= 0)
-            
-            kdj_3m_trigger = kdj_3m_golden_cross | kdj_3m_j_recovery
+            # 作为加分项（+1 分）
+            kdj_3m_bonus = (kdj_3m_golden_cross | kdj_3m_j_recovery).astype(int)
         
         # 合并 KDJ 过滤到最终条件
         # ========== 原有 EMA 趋势过滤 ==========
@@ -737,11 +728,13 @@ class FreqaiPrimer(IStrategy):
             stochrsi_condition_1h.astype(int) +
             macd_condition_1h.astype(int) +
             (volume_spike | bb_width_condition).astype(int) +  # 成交量或布林带宽度满足其一即可
-            trend_confirmation.astype(int)
+            trend_confirmation.astype(int) +
+            kdj_3m_bonus  # KDJ 3m 作为加分项
         )
-        # 最终条件：基本条件 + EMA趋势过滤（方案2：宽松版）+ KDJ过滤
+        # 最终条件：基本条件 + EMA趋势过滤 - KDJ高位禁止
+        # KDJ 不再是必需条件，只在极端高位时禁止入场
         basic_condition = condition_count >= self.min_condition_count.value
-        final_condition = basic_condition & ema_trend_filter & kdj_1h_filter & kdj_3m_trigger
+        final_condition = basic_condition & ema_trend_filter & ~kdj_1h_block
         
         # 设置入场信号
         dataframe.loc[final_condition, 'enter_long'] = 1