Update app.py

app.py

@@ -7,12 +7,14 @@ from datetime import datetime, timedelta
 
 # Fetch stock data
 def get_stock_data(ticker, start_date, end_date):
-    stock_data = yf.download(ticker, start=start_date, end=end_date)
+    stock_data = yf.download(ticker, start=start_date, end=end_date, auto_adjust=False)  # Set auto_adjust=False for unadjusted closes
     return stock_data['Close']
 
 # Bootstrapping simulation function
 def bootstrap_simulation(data, days, n_iterations=10000):
     daily_returns = data.pct_change().dropna()
+    # Convert to 1D NumPy array to fix ValueError
+    daily_returns = daily_returns.values.flatten()
     simulations = np.zeros((n_iterations, days))
 
     for i in range(n_iterations):