diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index b961e557..a454d1a9 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -8,11 +8,24 @@ import pandas as pd
 import pandas_ta as ta
 from freqtrade.persistence import Trade
 import numpy as np
-from datetime import datetime, timezone
+from datetime import datetime, timezone, timedelta
 import math
 
 logger = logging.getLogger(__name__)
 
+# ========== 时区统一管理 ==========
+# 全局强制使用 UTC+8 时区（所有虚机统一为 UTC+8）
+UTC_PLUS_8 = timezone(timedelta(hours=8))
+
+def get_current_time() -> datetime:
+    """
+    获取当前时间（UTC+8）
+    
+    用途：所有时间获取统一使用此函数
+    返回：datetime 对象（timezone-aware，UTC+8）
+    """
+    return datetime.now(UTC_PLUS_8)
+
 class FreqaiPrimer(IStrategy):
     # 策略参数 - 使用custom_roi替代minimal_roi字典
     loglevel = "warning"
@@ -47,7 +60,7 @@ class FreqaiPrimer(IStrategy):
         self._last_entry_time = {}
         
         # 冷启动保护：记录策略启动时间
-        self._strategy_start_time = datetime.now(timezone.utc)
+        self._strategy_start_time = get_current_time()
         
         # ========== 数据新鲜度监控统计 ==========
         # 用于量化和诊断数据延迟问题的严重性
@@ -125,9 +138,7 @@ class FreqaiPrimer(IStrategy):
         输出数据新鲜度统计报告
         :param force: 强制输出（忽略时间间隔）
         """
-        from datetime import datetime, timezone
-        
-        current_time = datetime.now(timezone.utc)
+        current_time = get_current_time()
         stats = self._freshness_stats
         
         # 检查是否需要报告
@@ -218,8 +229,8 @@ class FreqaiPrimer(IStrategy):
             return 1.0
         
         try:
-            # 获取当前时间戳
-            current_time = datetime.now().timestamp()
+            # 获取当前时间戳（UTC+8）
+            current_time = get_current_time().timestamp()
             
             # 检查缓存：如果距离上次计算时间小于更新间隔，则直接返回缓存值
             if (pair in self._volatility_cache and 
@@ -896,16 +907,12 @@ class FreqaiPrimer(IStrategy):
                         
                         # 计算数据延迟（只在 Live/Dryrun 模式下）
                         try:
-                            from datetime import timezone
-                            current_time = datetime.now(timezone.utc)
+                            current_time = get_current_time()
                             
-                            # 处理时区
-                            if data_timestamp.tzinfo is None and current_time.tzinfo is not None:
-                                import pytz
-                                data_timestamp = pytz.utc.localize(data_timestamp)
-                            elif data_timestamp.tzinfo is not None and current_time.tzinfo is None:
-                                import pytz
-                                current_time = pytz.utc.localize(current_time)
+                            # 强制转换 data_timestamp 为 UTC+8
+                            if data_timestamp.tzinfo is None:
+                                # 假设 naive datetime 是 UTC+8
+                                data_timestamp = data_timestamp.replace(tzinfo=UTC_PLUS_8)
                             
                             data_age_minutes = (current_time - data_timestamp).total_seconds() / 60
                             data_age_str = f"{data_age_minutes:.1f}min"
@@ -1145,19 +1152,11 @@ class FreqaiPrimer(IStrategy):
                                             
                                 # 计算数据延迟（分钟）
                                 if isinstance(data_timestamp, datetime):
-                                    # 获取当前 UTC 时间
-                                    from datetime import timezone
-                                    current_time = datetime.now(timezone.utc)
+                                    current_time = get_current_time()
                                     
-                                    # 处理时区一致性
-                                    if data_timestamp.tzinfo is None and current_time.tzinfo is not None:
-                                        # 如果 data_timestamp 没有时区，假设为 UTC
-                                        import pytz
-                                        data_timestamp = pytz.utc.localize(data_timestamp)
-                                    elif data_timestamp.tzinfo is not None and current_time.tzinfo is None:
-                                        # 如果 current_time 没有时区，假设为 UTC
-                                        import pytz
-                                        current_time = pytz.utc.localize(current_time)
+                                    # 强制转换 data_timestamp 为 UTC+8
+                                    if data_timestamp.tzinfo is None:
+                                        data_timestamp = data_timestamp.replace(tzinfo=UTC_PLUS_8)
                                                 
                                     data_age_minutes = (current_time - data_timestamp).total_seconds() / 60
                                     
@@ -1249,17 +1248,11 @@ class FreqaiPrimer(IStrategy):
                             
                             # 计算数据延迟
                             if isinstance(data_timestamp, datetime):
-                                # 获取当前 UTC 时间
-                                from datetime import timezone
-                                current_time = datetime.now(timezone.utc)
+                                current_time = get_current_time()
                                 
-                                # 处理时区
-                                if data_timestamp.tzinfo is None and current_time.tzinfo is not None:
-                                    import pytz
-                                    data_timestamp = pytz.utc.localize(data_timestamp)
-                                elif data_timestamp.tzinfo is not None and current_time.tzinfo is None:
-                                    import pytz
-                                    current_time = pytz.utc.localize(current_time)
+                                # 强制转换 data_timestamp 为 UTC+8
+                                if data_timestamp.tzinfo is None:
+                                    data_timestamp = data_timestamp.replace(tzinfo=UTC_PLUS_8)
                                 
                                 data_age_minutes = (current_time - data_timestamp).total_seconds() / 60
                                 data_age_str = f"{data_age_minutes:.1f}min"