diff --git a/framework_v2/scripts/export_backtest_detail.py b/framework_v2/scripts/export_backtest_detail.py
index 70e0db3..f9050aa 100644
--- a/framework_v2/scripts/export_backtest_detail.py
+++ b/framework_v2/scripts/export_backtest_detail.py
@@ -143,14 +143,8 @@ def main():
     # 因子数据（DataFrame 格式）
     factor_df = pd.DataFrame(factors)
     
-    # 调试输出
-    print(f"[DEBUG] factor_df 索引类型: {type(factor_df.index)}")
-    print(f"[DEBUG] factor_df 索引是否为 DatetimeIndex: {isinstance(factor_df.index, pd.DatetimeIndex)}")
-    print(f"[DEBUG] factor_df 索引示例: {factor_df.index[:3]}")
-    
     # 确保索引是 DatetimeIndex
     if not isinstance(factor_df.index, pd.DatetimeIndex):
-        print("[DEBUG] 转换索引为 DatetimeIndex...")
         factor_df.index = pd.to_datetime(factor_df.index)
     
     # 将因子对齐到实际展示日历（前向填充）
@@ -159,18 +153,6 @@ def main():
     factor_df_aligned = factor_df.reindex(common_dates)
     factor_df_aligned = factor_df_aligned.ffill()
     
-    # 调试：检查 2026-04-30 的值
-    if '2026-04-30' in common_dates:
-        hsi_val = factor_df_aligned.loc['2026-04-30', 'HSI'] if 'HSI' in factor_df_aligned.columns else 'NO COLUMN'
-        print(f"[DEBUG] factor_df_aligned['2026-04-30', 'HSI']: {hsi_val}")
-        
-        # 检查 factor_df 中 HSI 的最后几个有效值
-        if 'HSI' in factor_df.columns:
-            hsi_last_valid = factor_df['HSI'].dropna()
-            if len(hsi_last_valid) > 0:
-                print(f"[DEBUG] factor_df['HSI'] 最后3个有效值:")
-                print(hsi_last_valid.tail(3))
-    
     # 持仓状态跟踪
     holdings_state = {}  # {code: {'entry_date': str, 'entry_price': float}}
     prev_holdings = set()
diff --git a/framework_v2/strategies/rotation/rotation.py b/framework_v2/strategies/rotation/rotation.py
index e244114..974d8a7 100644
--- a/framework_v2/strategies/rotation/rotation.py
+++ b/framework_v2/strategies/rotation/rotation.py
@@ -177,19 +177,6 @@ class GlobalRotationStrategy(StrategyBase):
         # 对齐所有因子的日期
         factor_df = pd.DataFrame(factors)
         
-        # 调试输出
-        print(f"\n  [DEBUG] generate_signals - factor_df 信息:")
-        print(f"    索引类型: {type(factor_df.index)}")
-        print(f"    总行数: {len(factor_df)}")
-        print(f"    日期范围: {factor_df.index[0]} ~ {factor_df.index[-1]}")
-        
-        # 检查 HSI 的有效数据
-        if 'HSI' in factor_df.columns:
-            hsi_valid = factor_df['HSI'].dropna()
-            print(f"    HSI 有效数据: {len(hsi_valid)} 天")
-            print(f"    HSI 最后3个有效值:")
-            print(f"      {hsi_valid.tail(3).to_dict()}")
-        
         # 获取动态短债阈值（如果使用）
         bond_threshold = None
         if self.use_dynamic_threshold and self.bond_code and self.bond_code in factors: