diff --git a/freqtrade/templates/freqaiprimer.py b/freqtrade/templates/freqaiprimer.py
index 9ce22e91..016cb7f1 100644
--- a/freqtrade/templates/freqaiprimer.py
+++ b/freqtrade/templates/freqaiprimer.py
@@ -943,8 +943,12 @@ class FreqaiPrimer(IStrategy):
                 current_mode = self.config.get('runmode')
                 if current_mode == RunMode.LIVE:
                     try:
-                        # 获取主机名
-                        hostname = socket.gethostname()
+                        # 获取容器名称和环境变量
+                        container_name = os.getenv('CONTAINER_NAME', socket.gethostname())
+                        
+                        # 获取进程启动时间戳（全局有效）
+                        if not hasattr(self, '_start_timestamp'):
+                            self._start_timestamp = int(time.time() * 1000)
                         
                         # 将币对名从BTC/USDT格式转换为BTC-USDT格式
                         pair_redis = pair.replace('/', '-')
@@ -952,8 +956,8 @@ class FreqaiPrimer(IStrategy):
                         # 获取当前时间戳（毫秒）
                         timestamp_ms = int(time.time() * 1000)
                         
-                        # 构建Redis key: ${主机名}_${币对名}_entry_${时间戳}
-                        redis_key = f"{hostname}_{pair_redis}_entry_{timestamp_ms}"
+                        # 构建Redis key: ${CONTAINER_NAME}_{startTimeStamp}_{币对名}_entry_{时间戳}
+                        redis_key = f"{container_name}_{self._start_timestamp}_{pair_redis}_entry_{timestamp_ms}"
                         
                         # 获取Redis客户端
                         redis_client = self._get_redis_client()
@@ -978,7 +982,7 @@ class FreqaiPrimer(IStrategy):
                                 'market_regime': str(market_regime),
                                 'timestamp': timestamp_ms,
                                 'pair': str(pair),
-                                'hostname': str(hostname),
+                                'hostname': str(container_name),
                                 'immediate_entry': bool(dataframe.loc[last_idx, 'immediate_entry']) if 'immediate_entry' in dataframe.columns else False,
                                 'conditions_analysis': {
                                     'total_conditions': len(conditions_summary),