feat: learning engine — multi-armed bandit strategy weight adjustment

services/learning_engine/config.py

@@ -0,0 +1,16 @@
+"""Configuration for the learning engine service."""
+
+from shared.config import BaseConfig
+
+
+class LearningEngineConfig(BaseConfig):
+    """Extends BaseConfig with learning-engine-specific settings."""
+
+    learning_rate: float = 0.1
+    min_trades_before_adjustment: int = 20
+    max_weight_shift_pct: float = 0.10
+    weight_floor: float = 0.05
+    recency_decay: float = 0.95
+    evaluation_window_hours: int = 1
+
+    model_config = {"env_prefix": "TRADING_"}