checkbox manager and handling

run_continuous_training.py

@@ -40,6 +40,10 @@ from core.data_provider import DataProvider, MarketTick
 from core.enhanced_orchestrator import EnhancedTradingOrchestrator
 from web.old_archived.scalping_dashboard import RealTimeScalpingDashboard
 
+# Import checkpoint management
+from utils.checkpoint_manager import get_checkpoint_manager
+from utils.training_integration import get_training_integration
+
 class ContinuousTrainingSystem:
     """Comprehensive continuous training system for RL + CNN models"""
     
@@ -63,6 +67,10 @@ class ContinuousTrainingSystem:
         self.running = False
         self.shutdown_event = Event()
         
+        # Checkpoint management
+        self.checkpoint_manager = get_checkpoint_manager()
+        self.training_integration = get_training_integration()
+        
         # Performance tracking
         self.training_stats = {
             'start_time': None,
@@ -71,7 +79,9 @@ class ContinuousTrainingSystem:
             'perfect_moves_detected': 0,
             'total_ticks_processed': 0,
             'models_saved': 0,
-            'last_checkpoint': None
+            'last_checkpoint': None,
+            'best_rl_reward': float('-inf'),
+            'best_cnn_accuracy': 0.0
         }
         
         # Training intervals
@@ -79,7 +89,7 @@ class ContinuousTrainingSystem:
         self.cnn_training_interval = 600  # 10 minutes
         self.checkpoint_interval = 1800  # 30 minutes
         
-        logger.info("Continuous Training System initialized")
+        logger.info("Continuous Training System initialized with checkpoint management")
         logger.info(f"RL training interval: {self.rl_training_interval}s")
         logger.info(f"CNN training interval: {self.cnn_training_interval}s")
         logger.info(f"Checkpoint interval: {self.checkpoint_interval}s")