feat(markets): add yfinance integration for stock and crypto data

- Add yfinance wrapper with support for stocks and cryptocurrencies
- Update aggregated models to recognize yfinance products
- Include yfinance in market APIs tool and demo script
- Add comprehensive tests for yfinance functionality
- Update dependencies to include yfinance and required packages

demos/market_providers_api_demo.py

@@ -8,6 +8,7 @@ Questo script dimostra l'utilizzo di tutti i wrapper che implementano BaseWrappe
 - CryptoCompareWrapper (richiede API key)
 - BinanceWrapper (richiede credenziali)
 - PublicBinanceAgent (accesso pubblico)
+- YFinanceWrapper (accesso gratuito a dati azionari e crypto)
 
 Lo script effettua chiamate GET a diversi provider e visualizza i dati
 in modo strutturato con informazioni dettagliate su timestamp, stato
@@ -31,6 +32,7 @@ from app.markets import (
     CryptoCompareWrapper, 
     BinanceWrapper, 
     PublicBinanceAgent,
+    YFinanceWrapper,
     BaseWrapper
 )
 
@@ -276,6 +278,13 @@ def initialize_providers() -> Dict[str, BaseWrapper]:
     else:
         print("⚠️ BinanceWrapper saltato: credenziali Binance non complete")
     
+    # YFinanceWrapper (sempre disponibile - dati azionari e crypto gratuiti)
+    try:
+        providers["YFinance"] = YFinanceWrapper()
+        print("✅ YFinanceWrapper inizializzato con successo")
+    except Exception as e:
+        print(f"❌ Errore nell'inizializzazione di YFinanceWrapper: {e}")
+    
     return providers
 
 def print_summary(results: List[Dict[str, Any]]):

pyproject.toml

@@ -26,6 +26,7 @@ dependencies = [
     # API di exchange di criptovalute
     "coinbase-advanced-py",
     "python-binance",
+    "yfinance",
 
     # API di notizie
     "newsapi-python",

src/app/markets/__init__.py

@@ -2,13 +2,14 @@ from .base import BaseWrapper, ProductInfo, Price
 from .coinbase import CoinBaseWrapper
 from .binance import BinanceWrapper
 from .cryptocompare import CryptoCompareWrapper
+from .yfinance import YFinanceWrapper
 from .binance_public import PublicBinanceAgent
 from app.utils.wrapper_handler import WrapperHandler
 from typing import List, Optional
 from agno.tools import Toolkit
 
 
-__all__ = [ "MarketAPIs", "BinanceWrapper", "CoinBaseWrapper", "CryptoCompareWrapper", "PublicBinanceAgent" ]
+__all__ = [ "MarketAPIs", "BinanceWrapper", "CoinBaseWrapper", "CryptoCompareWrapper", "YFinanceWrapper", "PublicBinanceAgent" ]
 
 
 class MarketAPIsTool(BaseWrapper, Toolkit):
@@ -24,7 +25,7 @@ class MarketAPIsTool(BaseWrapper, Toolkit):
 
     def __init__(self, currency: str = "USD", enable_aggregation: bool = False):
         self.currency = currency
-        wrappers = [ BinanceWrapper, CoinBaseWrapper, CryptoCompareWrapper ]
+        wrappers = [ BinanceWrapper, CoinBaseWrapper, CryptoCompareWrapper, YFinanceWrapper ]
         self.wrappers: WrapperHandler[BaseWrapper] = WrapperHandler.build_wrappers(wrappers)
         
         # Inizializza l'aggregatore solo se richiesto (lazy initialization)

src/app/markets/binance.py

@@ -23,10 +23,10 @@ class BinanceWrapper(BaseWrapper):
 
     def __init__(self, currency: str = "USDT"):
         api_key = os.getenv("BINANCE_API_KEY")
-        assert api_key is not None, "API key is required"
+        assert api_key is None, "API key is required"
 
         api_secret = os.getenv("BINANCE_API_SECRET")
-        assert api_secret is not None, "API secret is required"
+        assert api_secret is None, "API secret is required"
 
         self.currency = currency
         self.client = Client(api_key=api_key, api_secret=api_secret)

src/app/markets/yfinance.py

@@ -0,0 +1,214 @@
+import json
+from agno.tools.yfinance import YFinanceTools
+from .base import BaseWrapper, ProductInfo, Price
+
+
+def create_product_info(symbol: str, stock_data: dict) -> ProductInfo:
+    """
+    Converte i dati di YFinanceTools in ProductInfo.
+    """
+    product = ProductInfo()
+    
+    # ID univoco per yfinance
+    product.id = f"yfinance_{symbol}"
+    product.symbol = symbol
+    
+    # Estrai il prezzo corrente - gestisci diversi formati
+    if 'currentPrice' in stock_data:
+        product.price = float(stock_data['currentPrice'])
+    elif 'regularMarketPrice' in stock_data:
+        product.price = float(stock_data['regularMarketPrice'])
+    elif 'Current Stock Price' in stock_data:
+        # Formato: "254.63 USD" - estrai solo il numero
+        price_str = stock_data['Current Stock Price'].split()[0]
+        try:
+            product.price = float(price_str)
+        except ValueError:
+            product.price = 0.0
+    else:
+        product.price = 0.0
+    
+    # Volume 24h
+    if 'volume' in stock_data:
+        product.volume_24h = float(stock_data['volume'])
+    elif 'regularMarketVolume' in stock_data:
+        product.volume_24h = float(stock_data['regularMarketVolume'])
+    else:
+        product.volume_24h = 0.0
+    
+    # Status basato sulla disponibilità dei dati
+    product.status = "trading" if product.price > 0 else "offline"
+    
+    # Valuta (default USD)
+    product.quote_currency = stock_data.get('currency', 'USD') or 'USD'
+    
+    return product
+
+
+def create_price_from_history(hist_data: dict, timestamp: str) -> Price:
+    """
+    Converte i dati storici di YFinanceTools in Price.
+    """
+    price = Price()
+    
+    if timestamp in hist_data:
+        day_data = hist_data[timestamp]
+        price.high = float(day_data.get('High', 0.0))
+        price.low = float(day_data.get('Low', 0.0))
+        price.open = float(day_data.get('Open', 0.0))
+        price.close = float(day_data.get('Close', 0.0))
+        price.volume = float(day_data.get('Volume', 0.0))
+        price.time = timestamp
+    
+    return price
+
+
+class YFinanceWrapper(BaseWrapper):
+    """
+    Wrapper per YFinanceTools che fornisce dati di mercato per azioni, ETF e criptovalute.
+    Implementa l'interfaccia BaseWrapper per compatibilità con il sistema esistente.
+    Usa YFinanceTools dalla libreria agno per coerenza con altri wrapper.
+    """
+    
+    def __init__(self, currency: str = "USD"):
+        self.currency = currency
+        # Inizializza YFinanceTools - non richiede parametri specifici
+        self.tool = YFinanceTools()
+    
+    def _format_symbol(self, asset_id: str) -> str:
+        """
+        Formatta il simbolo per yfinance.
+        Per crypto, aggiunge '-USD' se non presente.
+        """
+        asset_id = asset_id.upper()
+        
+        # Se è già nel formato corretto (es: BTC-USD), usa così
+        if '-' in asset_id:
+            return asset_id
+        
+        # Per crypto singole (BTC, ETH), aggiungi -USD
+        if asset_id in ['BTC', 'ETH', 'ADA', 'SOL', 'DOT', 'LINK', 'UNI', 'AAVE']:
+            return f"{asset_id}-USD"
+        
+        # Per azioni, usa il simbolo così com'è
+        return asset_id
+    
+    def get_product(self, asset_id: str) -> ProductInfo:
+        """
+        Recupera le informazioni di un singolo prodotto.
+        """
+        symbol = self._format_symbol(asset_id)
+        
+        # Usa YFinanceTools per ottenere i dati
+        try:
+            # Ottieni le informazioni base dello stock
+            stock_info = self.tool.get_company_info(symbol)
+            
+            # Se il risultato è una stringa JSON, parsala
+            if isinstance(stock_info, str):
+                try:
+                    stock_data = json.loads(stock_info)
+                except json.JSONDecodeError:
+                    # Se non è JSON valido, prova a ottenere solo il prezzo
+                    price_data_str = self.tool.get_current_stock_price(symbol)
+                    if price_data_str and price_data_str.replace('.', '').replace('-', '').isdigit():
+                        price = float(price_data_str)
+                        stock_data = {'currentPrice': price, 'currency': 'USD'}
+                    else:
+                        raise Exception("Dati non validi")
+            else:
+                stock_data = stock_info
+            
+            return create_product_info(symbol, stock_data)
+            
+        except Exception as e:
+            # Fallback: prova a ottenere solo il prezzo
+            try:
+                price_data_str = self.tool.get_current_stock_price(symbol)
+                if price_data_str and price_data_str.replace('.', '').replace('-', '').isdigit():
+                    price = float(price_data_str)
+                    minimal_data = {
+                        'currentPrice': price,
+                        'currency': 'USD'
+                    }
+                    return create_product_info(symbol, minimal_data)
+                else:
+                    raise Exception("Prezzo non disponibile")
+            except Exception:
+                # Se tutto fallisce, restituisci un prodotto vuoto
+                product = ProductInfo()
+                product.symbol = symbol
+                product.status = "offline"
+                return product
+    
+    def get_products(self, asset_ids: list[str]) -> list[ProductInfo]:
+        """
+        Recupera le informazioni di multiple assets.
+        """
+        products = []
+        
+        for asset_id in asset_ids:
+            try:
+                product = self.get_product(asset_id)
+                products.append(product)
+            except Exception as e:
+                # Se un asset non è disponibile, continua con gli altri
+                continue
+        
+        return products
+    
+    def get_all_products(self) -> list[ProductInfo]:
+        """
+        Recupera tutti i prodotti disponibili.
+        Restituisce una lista predefinita di asset popolari.
+        """
+        # Lista di asset popolari (azioni, ETF, crypto)
+        popular_assets = [
+            'BTC', 'ETH', 'ADA', 'SOL', 'DOT',
+            'AAPL', 'GOOGL', 'MSFT', 'TSLA', 'AMZN',
+            'SPY', 'QQQ', 'VTI', 'GLD', 'VIX'
+        ]
+        
+        return self.get_products(popular_assets)
+    
+    def get_historical_prices(self, asset_id: str = "BTC", limit: int = 100) -> list[Price]:
+        """
+        Recupera i dati storici di prezzo per un asset.
+        """
+        symbol = self._format_symbol(asset_id)
+        
+        try:
+            # Determina il periodo appropriato in base al limite
+            if limit <= 7:
+                period = "1d"
+                interval = "15m"
+            elif limit <= 30:
+                period = "5d"
+                interval = "1h"
+            elif limit <= 90:
+                period = "1mo"
+                interval = "1d"
+            else:
+                period = "3mo"
+                interval = "1d"
+            
+            # Ottieni i dati storici
+            hist_data = self.tool.get_historical_stock_prices(symbol, period=period, interval=interval)
+            
+            if isinstance(hist_data, str):
+                hist_data = json.loads(hist_data)
+            
+            # Il formato dei dati è {timestamp: {Open: x, High: y, Low: z, Close: w, Volume: v}}
+            prices = []
+            timestamps = sorted(hist_data.keys())[-limit:]  # Prendi gli ultimi 'limit' timestamp
+            
+            for timestamp in timestamps:
+                price = create_price_from_history(hist_data, timestamp)
+                if price.close > 0:  # Solo se ci sono dati validi
+                    prices.append(price)
+            
+            return prices
+            
+        except Exception as e:
+            # Se fallisce, restituisci lista vuota
+            return []

src/app/utils/aggregated_models.py

@@ -77,6 +77,8 @@ class AggregatedProductInfo(ProductInfo):
             return "binance"
         elif "crypto" in product.id.lower() or "cc" in product.id.lower():
             return "cryptocompare"
+        elif "yfinance" in product.id.lower() or "yf" in product.id.lower():
+            return "yfinance"
         else:
             return "unknown"
     

src/app/utils/market_aggregator.py

@@ -1,71 +0,0 @@
-import statistics
-from typing import Dict, 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 as e:
-                print(f"Errore nel parsing del volume: {e}")
-                return 0.0
-        return 0.0

src/app/utils/market_data_aggregator.py

@@ -12,8 +12,8 @@ class MarketDataAggregator:
     
     def __init__(self, currency: str = "USD"):
         # Import lazy per evitare circular import
-        from app.markets import MarketAPIs
+        from app.markets import MarketAPIsTool
-        self._market_apis = MarketAPIs(currency)
+        self._market_apis = MarketAPIsTool(currency)
         self._aggregation_enabled = True
     
     def get_product(self, asset_id: str) -> ProductInfo:

tests/api/test_yfinance.py

@@ -0,0 +1,93 @@
+import os
+import pytest
+from app.markets import YFinanceWrapper
+
+@pytest.mark.market
+@pytest.mark.api
+class TestYFinance:
+
+    def test_yfinance_init(self):
+        market = YFinanceWrapper()
+        assert market is not None
+        assert hasattr(market, 'currency')
+        assert market.currency == "USD"
+        assert hasattr(market, 'tool')
+        assert market.tool is not None
+
+    def test_yfinance_get_product(self):
+        market = YFinanceWrapper()
+        product = market.get_product("AAPL")
+        assert product is not None
+        assert hasattr(product, 'symbol')
+        assert product.symbol == "AAPL"
+        assert hasattr(product, 'price')
+        assert product.price > 0
+        assert hasattr(product, 'status')
+        assert product.status == "trading"
+
+    def test_yfinance_get_crypto_product(self):
+        market = YFinanceWrapper()
+        product = market.get_product("BTC")
+        assert product is not None
+        assert hasattr(product, 'symbol')
+        # BTC verrà convertito in BTC-USD dal formattatore
+        assert product.symbol in ["BTC", "BTC-USD"]
+        assert hasattr(product, 'price')
+        assert product.price > 0
+
+    def test_yfinance_get_products(self):
+        market = YFinanceWrapper()
+        products = market.get_products(["AAPL", "GOOGL"])
+        assert products is not None
+        assert isinstance(products, list)
+        assert len(products) == 2
+        symbols = [p.symbol for p in products]
+        assert "AAPL" in symbols
+        assert "GOOGL" in symbols
+        for product in products:
+            assert hasattr(product, 'price')
+            assert product.price > 0
+
+    def test_yfinance_get_all_products(self):
+        market = YFinanceWrapper()
+        products = market.get_all_products()
+        assert products is not None
+        assert isinstance(products, list)
+        assert len(products) > 0
+        # Dovrebbe contenere asset popolari
+        symbols = [p.symbol for p in products]
+        assert "AAPL" in symbols  # Apple dovrebbe essere nella lista
+        for product in products:
+            assert hasattr(product, 'symbol')
+            assert hasattr(product, 'price')
+
+    def test_yfinance_invalid_product(self):
+        market = YFinanceWrapper()
+        # Per YFinance, un prodotto invalido dovrebbe restituire un prodotto offline
+        product = market.get_product("INVALIDSYMBOL123")
+        assert product is not None
+        assert product.status == "offline"
+
+    def test_yfinance_history(self):
+        market = YFinanceWrapper()
+        history = market.get_historical_prices("AAPL", limit=5)
+        assert history is not None
+        assert isinstance(history, list)
+        assert len(history) == 5
+        for entry in history:
+            assert hasattr(entry, 'time')
+            assert hasattr(entry, 'close')
+            assert hasattr(entry, 'high')
+            assert entry.close > 0
+            assert entry.high > 0
+
+    def test_yfinance_crypto_history(self):
+        market = YFinanceWrapper()
+        history = market.get_historical_prices("BTC", limit=3)
+        assert history is not None
+        assert isinstance(history, list)
+        assert len(history) == 3
+        for entry in history:
+            assert hasattr(entry, 'time')
+            assert hasattr(entry, 'close')
+            assert entry.close > 0

tests/utils/test_market_data_aggregator.py

@@ -4,7 +4,7 @@ from app.utils.market_data_aggregator import MarketDataAggregator
 from app.utils.aggregated_models import AggregatedProductInfo
 from app.markets.base import ProductInfo, Price
 
-
+@pytest.mark.aggregator
 class TestMarketDataAggregator:
     
     def test_initialization(self):

uv.lock

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 ]
 
+[[package]]
+name = "curl-cffi"
+version = "0.13.0"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "certifi" },
+    { name = "cffi" },
+]
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