diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index 6b003427..bda9eef0 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -460,15 +460,9 @@ class FreqaiPrimer(IStrategy):
                 (df_1h['ema_5_1h'] > df_1h['ema_20_1h']) & 
                 (df_1h['ema_5_1h'].shift(1) <= df_1h['ema_20_1h'].shift(1))
             )
-            # 检测 EMA5 向下穿越 EMA20（用于防止趋势反转时入场）
-            df_1h['ema5_cross_below_ema20'] = (
-                (df_1h['ema_5_1h'] < df_1h['ema_20_1h']) & 
-                (df_1h['ema_5_1h'].shift(1) >= df_1h['ema_20_1h'].shift(1))
-            )
         else:
             # 数据不足时，默认为False
             df_1h['ema5_cross_above_ema20'] = False
-            df_1h['ema5_cross_below_ema20'] = False
         
         # 使用 rolling 计算 RSI（减少看前偏差）
         delta_1h = df_1h['close'].diff()
@@ -725,18 +719,14 @@ class FreqaiPrimer(IStrategy):
             # 条件3：EMA20斜率必须满足阈值（避免过于平缓的趋势）
             if 'ema_20_1h' in dataframe.columns:
                 ema20_slope = (dataframe['ema_20_1h'] - dataframe['ema_20_1h'].shift(5)) / dataframe['ema_20_1h'].shift(5)
-                # 设置最小斜率阈值（例如0.002，即0.2%）
-                min_ema20_slope = 0.002
+                # 设置最小斜率阈值（降低到0.0001，即0.01%）- 更宽松的条件
+                min_ema20_slope = 0.0001
                 ema20_slope_condition = ema20_slope > min_ema20_slope
                 # 所有条件必须同时满足
                 ema_trend_filter = ema_trend_filter & ema20_slope_condition
-            
-            # 条件4：防止趋势反转时入场（EMA5向下穿越EMA20时不允许入场）
-            if 'ema5_cross_below_ema20' in dataframe.columns:
-                # 检查当前是否发生了EMA5向下穿越EMA20的情况
-                ema5_downward_cross = dataframe['ema5_cross_below_ema20']
-                # 如果发生了向下穿越，则不允许入场
-                ema_trend_filter = ema_trend_filter & ~ema5_downward_cross
+                
+                # 调试信息：输出EMA20斜率信息
+                # self.strategy_log(f"[调试] EMA20斜率检查: 当前斜率={ema20_slope.iloc[-1]:.6f}, 阈值={min_ema20_slope:.6f}, 条件={ema20_slope_condition.iloc[-1]}")
         else:
             # 如果列不存在，创建一个全False的Series（不允许入场）
             self.strategy_log(f"[{metadata['pair']}] 警告：ema_5_1h或ema_20_1h列不存在，过滤条件设为False")