Update app.py

app.py

@@ -2,14 +2,14 @@
 #  EUR/USD  ·  ENSEMBLE FORECAST ENGINE  ·  Premium Edition
 #  5 Model: Random Forest · Gradient Boosting · AdaBoost · Ridge · SVR
 #  TP/SL hesaplama · ATR tabanlı risk yönetimi · Backtest analizi
-#  Veri: Alpha Vantage FX Daily API
+#  Veri: Yahoo Finance (yfinance)
 # ══════════════════════════════════════════════════════════════════════════════
 
 import gradio as gr
 import pandas as pd
 import numpy as np
 from datetime import datetime, timedelta
-import requests
+import yfinance as yf
 from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor, AdaBoostRegressor
 from sklearn.linear_model import Ridge
 from sklearn.svm import SVR
@@ -49,60 +49,19 @@ MODEL_COLORS = [ACCENT, PURPLE, GREEN, AMBER, PINK]
 #  VERİ KATMANI
 # ══════════════════════════════════════════════════════════════════════════════
 
-ALPHA_VANTAGE_KEY = "Z5LSPHTNP6NI6J7Y"
-
-def get_forex_data(from_sym: str = "EUR", to_sym: str = "USD") -> pd.DataFrame | None:
+def get_forex_data(symbol: str = "EURUSD=X", period: str = "150d") -> pd.DataFrame | None:
     """
-    Alpha Vantage'ten günlük OHLCV verisi indirir.
-    FX_DAILY endpoint — outputsize=full ile 120+ günlük veri.
+    Yahoo Finance'ten günlük OHLCV verisi indirir.
+    150 günlük pencere — SMA-50 ve lag-7 için yeterli.
     """
     try:
-        url = "https://www.alphavantage.co/query"
-        params = {
-            "function"   : "FX_DAILY",
-            "from_symbol": from_sym,
-            "to_symbol"  : to_sym,
-            "outputsize" : "full",
-            "apikey"     : ALPHA_VANTAGE_KEY,
-        }
-        resp = requests.get(url, params=params, timeout=30)
-        resp.raise_for_status()
-        js = resp.json()
-
-        # Hata kontrolü
-        if "Error Message" in js:
-            return None
-        if "Note" in js:
-            # API limit aşımı — compact ile tekrar dene
-            params["outputsize"] = "compact"
-            resp = requests.get(url, params=params, timeout=30)
-            js   = resp.json()
-
-        ts = js.get("Time Series FX (Daily)", {})
-        if not ts:
+        raw = yf.download(symbol, period=period, interval="1d", progress=False, auto_adjust=True)
+        if raw is None or len(raw) < 60:
             return None
-
-        rows = []
-        for date_str, v in ts.items():
-            rows.append({
-                "Date" : pd.to_datetime(date_str),
-                "Open" : float(v["1. open"]),
-                "High" : float(v["2. high"]),
-                "Low"  : float(v["3. low"]),
-                "Close": float(v["4. close"]),
-                "Volume": 0.0,          # Forex OTC — gerçek hacim yok
-            })
-
-        df = pd.DataFrame(rows).sort_values("Date").set_index("Date")
-
-        # Son 150 günü al (SMA-50 + lag-7 için yeterli)
-        df = df.tail(150)
-
-        if len(df) < 60:
-            return None
-
-        return df
-
+        # MultiIndex sütunlarını düzelt
+        if isinstance(raw.columns, pd.MultiIndex):
+            raw.columns = raw.columns.get_level_values(0)
+        return raw
     except Exception:
         return None
 
@@ -635,9 +594,9 @@ def build_figure(
 def predict_eurusd():
     try:
         # 1. Veri
-        data = get_forex_data("EUR", "USD")
+        data = get_forex_data()
         if data is None:
-            return "❌ Veri indirilemedi. Alpha Vantage API sınırı veya internet bağlantısını kontrol edin.", None
+            return "❌ Veri indirilemedi. İnternet bağlantınızı kontrol edin.", None
 
         # 2. Feature mühendisliği
         df = create_features(data)
@@ -824,7 +783,7 @@ HEADER = """
     </div>
   </div>
   <div style="display:flex;gap:10px;flex-wrap:wrap;margin-top:4px;">
-    <span style="background:#1E293B;border-radius:4px;padding:5px 14px;font-size:.76rem;color:#94A3B8;">📡 Alpha Vantage FX Daily</span>
+    <span style="background:#1E293B;border-radius:4px;padding:5px 14px;font-size:.76rem;color:#94A3B8;">📡 Yahoo Finance 150g</span>
     <span style="background:#1E293B;border-radius:4px;padding:5px 14px;font-size:.76rem;color:#94A3B8;">📐 42 Feature</span>
     <span style="background:#1E293B;border-radius:4px;padding:5px 14px;font-size:.76rem;color:#94A3B8;">🧪 10-Gün Backtest</span>
     <span style="background:#1E293B;border-radius:4px;padding:5px 14px;font-size:.76rem;color:#94A3B8;">🎯 ATR TP/SL</span>