diff --git a/freqtrade/exchange/okx.py b/freqtrade/exchange/okx.py
index faddba6c..02f6e8be 100644
--- a/freqtrade/exchange/okx.py
+++ b/freqtrade/exchange/okx.py
@@ -28,7 +28,7 @@ class Okx(Exchange):
 
     _ft_has: FtHas = {
         "ohlcv_candle_limit": 100,  # Warning, special case with data prior to X months
-        "ohlcv_partial_candle": False,  # 不删除最后一根蜡烛，使用最新数据
+        "ohlcv_partial_candle": False,  # OKX返回的candle都是已close的，不需要删除最后一根
         "stoploss_order_types": {"limit": "limit"},
         "stoploss_on_exchange": True,
         "stoploss_query_requires_stop_flag": True,
diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index ac5b135c..73560855 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -1120,8 +1120,10 @@ class FreqaiPrimer(IStrategy):
                     display_latest = latest_data_date
                     if display_latest.tzinfo is None:
                         display_latest = display_latest.replace(tzinfo=timezone.utc)
-                    display_latest = display_latest.astimezone(UTC_PLUS_8)
-                    latest_time_str = display_latest.strftime('%H:%M:%S')
+                    # 同时显示 UTC 和 UTC+8 时间，方便排查时区问题
+                    latest_time_utc = display_latest.strftime('%H:%M:%S UTC')
+                    display_latest_cn = display_latest.astimezone(UTC_PLUS_8)
+                    latest_time_cn = display_latest_cn.strftime('%H:%M:%S UTC+8')
                     # 计算数据新鲜度（使用统一函数）
                     data_freshness = self.calculate_data_freshness(latest_data_date, metadata['pair'], dataframe)
                     
@@ -1134,7 +1136,7 @@ class FreqaiPrimer(IStrategy):
                         fresh_icon = "❌"
                     self.strategy_log(
                         f"[{metadata['pair']}] 数据新鲜度: {fresh_icon} {data_freshness:.1f}min | "
-                        f"最新K线: {latest_time_str} | 总行数: {len(dataframe)}"
+                        f"最新K线: {latest_time_utc} / {latest_time_cn} | 总行数: {len(dataframe)}"
                     )
                 else:
                     from pandas import Timestamp
@@ -1142,9 +1144,11 @@ class FreqaiPrimer(IStrategy):
                         display_latest = latest_data_date.to_pydatetime()
                         if display_latest.tzinfo is None:
                             display_latest = display_latest.replace(tzinfo=timezone.utc)
-                        display_latest = display_latest.astimezone(UTC_PLUS_8)
-                        latest_time_str = display_latest.strftime('%H:%M:%S')
-                        latest_naive = display_latest.replace(tzinfo=None)
+                        # 同时显示 UTC 和 UTC+8 时间，方便排查时区问题
+                        latest_time_utc = display_latest.strftime('%H:%M:%S UTC')
+                        display_latest_cn = display_latest.astimezone(UTC_PLUS_8)
+                        latest_time_cn = display_latest_cn.strftime('%H:%M:%S UTC+8')
+                        latest_naive = display_latest_cn.replace(tzinfo=None)
                         
                         # 计算数据新鲜度（使用统一函数）
                         data_freshness = self.calculate_data_freshness(latest_data_date, metadata['pair'], dataframe)
@@ -1158,7 +1162,7 @@ class FreqaiPrimer(IStrategy):
                             fresh_icon = "❌"
                         self.strategy_log(
                             f"[{metadata['pair']}] 数据新鲜度: {fresh_icon} {data_freshness:.1f}min | "
-                            f"最新K线: {latest_time_str} | 总行数: {len(dataframe)}"
+                            f"最新K线: {latest_time_utc} / {latest_time_cn} | 总行数: {len(dataframe)}"
                         )
             except Exception as e:
                 self.strategy_log(f"[{metadata['pair']}] 数据新鲜度计算异常: {e}")