diff --git a/freqtrade/templates/freqaiprimer.json b/freqtrade/templates/freqaiprimer.json
index 446a2ee8..a64b2ee4 100644
--- a/freqtrade/templates/freqaiprimer.json
+++ b/freqtrade/templates/freqaiprimer.json
@@ -36,9 +36,8 @@
     "sell": {
       "exit_bb_upper_deviation": 0.98,
       "exit_volume_multiplier": 1.5,
-      "roi_param_a": 0.039,
-      "roi_param_k": 0.0101,
-      "roi_param_t0": 908,
+      "roi_param_a": -0.0001,
+      "roi_param_t": 0.06,
       "rsi_overbought": 55
     },
     "protection": {}
diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index ee2aab27..9ad1b998 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -106,10 +106,9 @@ class FreqaiPrimer(IStrategy):
     add_position_callback = DecimalParameter(0.03, 0.06, decimals=3, default=0.047, optimize=True, load=True, space='buy')  # 加仓回调百分比
     stake_divisor = IntParameter(2, 4, default=2, optimize=False, load=True, space='buy')  # 加仓金额分母
     
-    # 动态ROI参数 - 指数衰减函数参数 (ROI(t) = a·e^(-k·t) + c)
-    roi_param_a = DecimalParameter(0.03, 0.08, decimals=3, default=0.05, optimize=True, load=True, space='sell')  # 初始ROI水平
-    roi_param_k = DecimalParameter(0.007, 0.013, decimals=4, default=0.01, optimize=True, load=True, space='sell')  # 衰减速率
-    roi_param_t0 = IntParameter(300, 960, default=360, optimize=True, load=True, space='sell')  # 最低ROI水平
+    # 线性ROI参数 - 用于线性函数: y = (a * x) + t
+    roi_param_a = DecimalParameter(-0.0002, -0.00005, decimals=5, default=-0.0001, optimize=True, load=True, space='sell')  # 系数a
+    roi_param_t = DecimalParameter(0.04, 0.08, decimals=3, default=0.06, optimize=True, load=True, space='sell')  # 常数项t
     # 出场条件阈值参数
     exit_bb_upper_deviation = DecimalParameter(0.98, 1.02, decimals=2, default=1.0, optimize=True, load=True, space='sell')
     exit_volume_multiplier = DecimalParameter(1.5, 3.0, decimals=1, default=2.0, optimize=True, load=True, space='sell')
@@ -557,11 +556,12 @@ class FreqaiPrimer(IStrategy):
         if trade_age_minutes < 0:
             trade_age_minutes = 0
 
-        a = self.roi_param_a.value
-        k = self.roi_param_k.value
-        t0 = self.roi_param_t0.value
-
-        dynamic_roi_threshold = -a * math.atan(k * (trade_age_minutes - t0))
+        # 使用可优化的线性函数: y = (a * x) + t
+        a = self.roi_param_a.value  # 系数a (可优化参数)
+        t = self.roi_param_t.value  # 常数项t (可优化参数)
+        
+        dynamic_roi_threshold = (a * trade_age_minutes) + t
+        # 确保ROI阈值不小于0
         if dynamic_roi_threshold < 0:
             dynamic_roi_threshold = 0.0