111

analysis/volatility_monitor.py

@@ -65,10 +65,10 @@ class VolatilityMonitor:
         self,
         symbols: List[str],
         on_volatility_spike: Callable[[str, Dict], Any] = None,
-        check_interval: int = 5,  # 检查间隔（秒）
+        check_interval: int = 10,  # 检查间隔（秒）- 改为10秒减少API调用
-        price_change_threshold: float = 0.5,  # 价格变化阈值 0.5%
+        price_change_threshold: float = 1.0,  # 价格变化阈值 1% (原0.5%太敏感)
-        volatility_multiplier: float = 2.0,  # 波动率突增倍数
+        volatility_multiplier: float = 2.5,  # 波动率突增倍数 (原2.0)
-        cooldown_minutes: int = 3,  # 触发后冷却时间（分钟）
+        cooldown_minutes: int = 5,  # 触发后冷却时间 5分钟 (原3分钟)
     ):
         """
         Args:

docker-compose.yml

@@ -21,8 +21,8 @@ services:
 
       # Volatility trigger - 波动率触发
       - ENABLE_VOLATILITY_TRIGGER=true
-      - VOLATILITY_THRESHOLD=0.5
+      - VOLATILITY_THRESHOLD=1.0        # 1% 阈值 (原0.5%太敏感)
-      - VOLATILITY_COOLDOWN_MINUTES=3
+      - VOLATILITY_COOLDOWN_MINUTES=5   # 5分钟冷却 (原3分钟太短)
 
       # Note: LLM API and DingTalk configs are loaded from .env file
 

scheduler.py

@@ -333,8 +333,8 @@ async def main():
     # 从环境变量获取配置
     interval = int(os.getenv('SIGNAL_INTERVAL_MINUTES', '5'))
     enable_volatility = os.getenv('ENABLE_VOLATILITY_TRIGGER', 'true').lower() == 'true'
-    volatility_threshold = float(os.getenv('VOLATILITY_THRESHOLD', '0.5'))
+    volatility_threshold = float(os.getenv('VOLATILITY_THRESHOLD', '1.0'))  # 1% 阈值 (原0.5%太敏感)
-    volatility_cooldown = int(os.getenv('VOLATILITY_COOLDOWN_MINUTES', '3'))
+    volatility_cooldown = int(os.getenv('VOLATILITY_COOLDOWN_MINUTES', '5'))  # 5分钟冷却 (原3分钟)
 
     logger.info("=" * 60)
     logger.info("Signal Scheduler 配置:")