pulizia veloce

src/app/utils/market_aggregator.py

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+import statistics
+from typing import Dict, List, Any
+
+class MarketAggregator:
+    """
+    Aggrega dati di mercato da più provider e genera segnali e analisi avanzate.
+    """
+    @staticmethod
+    def aggregate(symbol: str, sources: Dict[str, Dict[str, Any]]) -> Dict[str, Any]:
+        prices = []
+        volumes = []
+        price_map = {}
+        for provider, data in sources.items():
+            price = data.get('price')
+            if price is not None:
+                prices.append(price)
+                price_map[provider] = price
+            volume = data.get('volume')
+            if volume is not None:
+                volumes.append(MarketAggregator._parse_volume(volume))
+        
+        # Aggregated price (mean)
+        agg_price = statistics.mean(prices) if prices else None
+        # Spread analysis
+        spread = (max(prices) - min(prices)) / agg_price if prices and agg_price else 0
+        # Confidence
+        stddev = statistics.stdev(prices) if len(prices) > 1 else 0
+        confidence = max(0.5, 1 - (stddev / agg_price)) if agg_price else 0
+        if spread < 0.005:
+            confidence += 0.1
+        if len(prices) >= 3:
+            confidence += 0.05
+        confidence = min(confidence, 1.0)
+        # Volume trend
+        total_volume = sum(volumes) if volumes else None
+        # Price divergence
+        max_deviation = (max(prices) - min(prices)) / agg_price if prices and agg_price else 0
+        # Signals
+        signals = {
+            "spread_analysis": f"Low spread ({spread:.2%}) indicates healthy liquidity" if spread < 0.01 else f"Spread {spread:.2%} - check liquidity",
+            "volume_trend": f"Combined volume: {total_volume:.2f}" if total_volume else "Volume data not available",
+            "price_divergence": f"Max deviation: {max_deviation:.2%} - {'Normal range' if max_deviation < 0.01 else 'High divergence'}"
+        }
+        return {
+            "aggregated_data": {
+                f"{symbol}_USD": {
+                    "price": round(agg_price, 2) if agg_price else None,
+                    "confidence": round(confidence, 2),
+                    "sources_count": len(prices)
+                }
+            },
+            "individual_sources": price_map,
+            "market_signals": signals
+        }
+    @staticmethod
+    def _parse_volume(volume: Any) -> float:
+        # Supporta stringhe tipo "1.2M" o numeri
+        if isinstance(volume, (int, float)):
+            return float(volume)
+        if isinstance(volume, str):
+            v = volume.upper().replace(' ', '')
+            if v.endswith('M'):
+                return float(v[:-1]) * 1_000_000
+            if v.endswith('K'):
+                return float(v[:-1]) * 1_000
+            try:
+                return float(v)
+            except Exception:
+                return 0.0
+        return 0.0