diff --git a/futures_trading_strategies/FG/FisherTrendStrategy/Strategy3.py b/futures_trading_strategies/FG/FisherTrendStrategy/Strategy3.py
index 9944155..ce3ec41 100644
--- a/futures_trading_strategies/FG/FisherTrendStrategy/Strategy3.py
+++ b/futures_trading_strategies/FG/FisherTrendStrategy/Strategy3.py
@@ -118,7 +118,7 @@ class PragmaticCyberneticStrategy(Strategy):
         self._closes.append(prev_bar.close)
 
         T, FV, FB, ATR = self._calculate_indicators()
-        self.log(f'T: {Tf} FV: {FVf} FB: {FBf} ATR: {ATRf}')
+        self.log(f'T: {T} FV: {FV} FB: {FB} ATR: {ATR}')
         if T is None or math.isnan(ATR): return
 
         self._fbs.append(FB)
@@ -134,7 +134,7 @@ class PragmaticCyberneticStrategy(Strategy):
 
         is_met = self.indicator is None or self.indicator.is_condition_met(*self.get_indicator_tuple())
 
-        self.log(f'is_met: {is_met}, pos: {pos}, current_fb: {current_fbf}, prev_fb: {prev_fbf}')
+        self.log(f'is_met: {is_met}, pos: {pos}, current_fb: {current_fb}, prev_fb: {prev_fb}')
 
         # ==========================================
         # 核心一：经典出场逻辑 (你的原版设计)
@@ -151,7 +151,7 @@ class PragmaticCyberneticStrategy(Strategy):
             if pos > 0:
                 # A. 动能极值止盈
                 if current_fb > self.fisher_exit_level and current_fb < prev_fb:
-                    self.log(f"TAKE PROFIT (Long): FB {current_fbf} Peak Reached")
+                    self.log(f"TAKE PROFIT (Long): FB {current_fb} Peak Reached")
                     self.send_market_order("CLOSE_LONG", abs(pos), "CLOSE")
                     return
 
@@ -171,7 +171,7 @@ class PragmaticCyberneticStrategy(Strategy):
             elif pos < 0:
                 # A. 动能极值止盈
                 if current_fb < -self.fisher_exit_level and current_fb > prev_fb:
-                    self.log(f"TAKE PROFIT (Short): FB {current_fbf} Bottom Reached")
+                    self.log(f"TAKE PROFIT (Short): FB {current_fb} Bottom Reached")
                     self.send_market_order("CLOSE_SHORT", abs(pos), "CLOSE")
                     return
 
diff --git a/src/strategies/FisherTrendStrategy/Strategy3.py b/src/strategies/FisherTrendStrategy/Strategy3.py
index 9944155..ce3ec41 100644
--- a/src/strategies/FisherTrendStrategy/Strategy3.py
+++ b/src/strategies/FisherTrendStrategy/Strategy3.py
@@ -118,7 +118,7 @@ class PragmaticCyberneticStrategy(Strategy):
         self._closes.append(prev_bar.close)
 
         T, FV, FB, ATR = self._calculate_indicators()
-        self.log(f'T: {Tf} FV: {FVf} FB: {FBf} ATR: {ATRf}')
+        self.log(f'T: {T} FV: {FV} FB: {FB} ATR: {ATR}')
         if T is None or math.isnan(ATR): return
 
         self._fbs.append(FB)
@@ -134,7 +134,7 @@ class PragmaticCyberneticStrategy(Strategy):
 
         is_met = self.indicator is None or self.indicator.is_condition_met(*self.get_indicator_tuple())
 
-        self.log(f'is_met: {is_met}, pos: {pos}, current_fb: {current_fbf}, prev_fb: {prev_fbf}')
+        self.log(f'is_met: {is_met}, pos: {pos}, current_fb: {current_fb}, prev_fb: {prev_fb}')
 
         # ==========================================
         # 核心一：经典出场逻辑 (你的原版设计)
@@ -151,7 +151,7 @@ class PragmaticCyberneticStrategy(Strategy):
             if pos > 0:
                 # A. 动能极值止盈
                 if current_fb > self.fisher_exit_level and current_fb < prev_fb:
-                    self.log(f"TAKE PROFIT (Long): FB {current_fbf} Peak Reached")
+                    self.log(f"TAKE PROFIT (Long): FB {current_fb} Peak Reached")
                     self.send_market_order("CLOSE_LONG", abs(pos), "CLOSE")
                     return
 
@@ -171,7 +171,7 @@ class PragmaticCyberneticStrategy(Strategy):
             elif pos < 0:
                 # A. 动能极值止盈
                 if current_fb < -self.fisher_exit_level and current_fb > prev_fb:
-                    self.log(f"TAKE PROFIT (Short): FB {current_fbf} Bottom Reached")
+                    self.log(f"TAKE PROFIT (Short): FB {current_fb} Bottom Reached")
                     self.send_market_order("CLOSE_SHORT", abs(pos), "CLOSE")
                     return