diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index 6fa8d896..9bffa300 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -157,7 +157,7 @@ class FreqaiPrimer(IStrategy):
         if "price_value_divergence" in dataframe.columns:
             divergence_mean = dataframe["price_value_divergence"].mean()
             divergence_std = dataframe["price_value_divergence"].std()
-            k = 1.5  # 标准差倍数，可以调整
+            k = 1.4  # 标准差倍数，可以调整, 改成1.4,降低入场门槛
             self.buy_threshold = max(divergence_mean - k * divergence_std, -0.05)  # 设置下限，避免过低
             self.sell_threshold = min(divergence_mean + k * divergence_std, 0.05)   # 设置上限，避免过高
             # 确保阈值至少有一定宽度
@@ -213,7 +213,7 @@ class FreqaiPrimer(IStrategy):
             buy_condition = (df["&-price_value_divergence"] < self.buy_threshold)
             buy_condition &= (df["volume_z_score"] > 1.5)  # 降低成交量要求
             # RSI超卖过滤（放宽条件）
-            buy_condition &= (df["rsi"] < 40)
+            buy_condition &= (df["rsi"] < 42) #40改成42,降低入场门槛
             # 价格触及布林带下轨
             buy_condition &= (df["close"] <= df["bb_lowerband"])
             conditions.append(buy_condition)