NUFY

1class ShadowBrain:
2    """Shadow AI evaluator running parallel to live engine."""
3 
4    def __init__(self, model_path: str):
5        self.model = lgb.Booster(model_file=model_path)
6        self.live_engine = LiveEngine()
7 
8    async def evaluate_signal(self, symbol: str):
9        features = self.extract_features(symbol)
10        ai_score = self.model.predict([features])[0]
11        live_decision = self.live_engine.get_decision(symbol)
12 
13        # Log disagreements for learning
14        if ai_score > 0.7 and not live_decision.should_enter:
15            await self.log_disagreement(
16                symbol=symbol,
17                ai_score=ai_score,
18                live_action="skip",
19                reason="shadow_bullish_live_skip",
20            )
21 
22        return ShadowResult(
23            score=ai_score,
24            confidence=self.calculate_confidence(features),
25        )