First Commit

2026-01-23 15:39:50 +01:00
parent 9b1a3ec147
commit da68106666
10 changed files with 533 additions and 0 deletions
--- a/checkStocks.py
+++ b/checkStocks.py
@@ -0,0 +1,83 @@
+import os
+import pandas as pd
+import pandas_ta as ta
+from dotenv import load_dotenv
+from datetime import datetime, timedelta
+from alpaca.data.historical import StockHistoricalDataClient
+from alpaca.data.requests import StockBarsRequest
+from alpaca.data.timeframe import TimeFrame
+
+# --- SETUP ---
+load_dotenv()
+API_KEY = os.getenv('ALPACA_API_KEY')
+SECRET_KEY = os.getenv('ALPACA_SECRET_KEY')
+data_client = StockHistoricalDataClient(API_KEY, SECRET_KEY)
+
+def scan_markets(tickers, rsi_period=25):
+    results = []
+    print(f"--- Scanne {len(tickers)} Aktien auf Signale ---")
+
+    for symbol in tickers:
+        try:
+            # Daten für die letzten 30 Tage holen (reicht für RSI 14)
+            start_date = datetime.now() - timedelta(days=50)
+            request_params = StockBarsRequest(
+                symbol_or_symbols=[symbol],
+                timeframe=TimeFrame.Day,
+                start=start_date
+            )
+            
+            bars = data_client.get_stock_bars(request_params).df
+            if bars.empty: continue
+            
+            df = bars.reset_index(level=0, drop=True)
+            
+            # RSI berechnen
+            df['RSI'] = ta.rsi(df['close'], length=rsi_period)
+            
+            # Letzte Werte extrahieren
+            current_price = df['close'].iloc[-1]
+            current_rsi = df['RSI'].iloc[-1]
+            
+            # Signal-Logik
+            signal = "NEUTRAL"
+            if current_rsi < 30:
+                signal = "KAUFEN (Überverkauft)"
+            elif current_rsi > 70:
+                signal = "VERKAUFEN (Überkauft)"
+            
+            results.append({
+                'Symbol': symbol,
+                'Preis': round(current_price, 2),
+                'RSI': round(current_rsi, 2),
+                'Signal': signal,
+                'Zeitpunkt': datetime.now().strftime('%Y-%m-%d %H:%M')
+            })
+            print(f"{symbol}: RSI {current_rsi:.2f} -> {signal}")
+
+        except Exception as e:
+            print(f"Fehler beim Scannen von {symbol}: {e}")
+
+    # Ergebnisse in DataFrame umwandeln
+    scan_df = pd.DataFrame(results)
+    
+    # Als Excel speichern
+    filename = f"markt_scan_{datetime.now().strftime('%Y%m%d')}.xlsx"
+    scan_df.to_excel(filename, index=False)
+    print(f"\n✅ Scan abgeschlossen. Ergebnisse gespeichert in: {filename}")
+    
+    return scan_df
+
+if __name__ == "__main__":
+    # Liste der zu scannenden Aktien
+    my_watchlist = ["AAPL", "TSLA", "MSFT", "AMZN", "GOOGL", "NVDA", "AMD", "META"]
+    
+    scan_results = scan_markets(my_watchlist)
+    
+    # Optional: Nur die echten Signale anzeigen
+    hits = scan_results[scan_results['Signal'] != "NEUTRAL"]
+    if not hits.empty:
+        print("\n🔥 AKTUELLE SIGNALE:")
+        print(hits)
+    else:
+        print("\nKeine extremen RSI-Werte gefunden.")