integration of (legacy) training systems, initialize, train, show on the UI

config.yaml

@@ -187,6 +187,20 @@ memory:
   model_limit_gb: 4.0       # Per-model memory limit
   cleanup_interval: 1800    # Memory cleanup every 30 minutes
   
+# Enhanced Training System Configuration
+enhanced_training:
+  enabled: true                    # Enable enhanced real-time training
+  auto_start: true                 # Automatically start training when orchestrator starts
+  training_intervals:
+    dqn_training_interval: 5       # Train DQN every 5 seconds
+    cnn_training_interval: 10      # Train CNN every 10 seconds
+    validation_interval: 60        # Validate every minute
+  batch_size: 64                   # Training batch size
+  memory_size: 10000              # Experience buffer size
+  min_training_samples: 100       # Minimum samples before training starts
+  adaptation_threshold: 0.1        # Performance threshold for adaptation
+  forward_looking_predictions: true # Enable forward-looking prediction validation
+
 # Real-time RL COB Trader Configuration
 realtime_rl:
   # Model parameters for 400M parameter network (faster startup)