Update app.py

app.py

@@ -13,13 +13,13 @@ def get_stock_data(ticker, start_date, end_date):
 # 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
+    # Convert to 1D NumPy array to fix previous ValueError
     daily_returns = daily_returns.values.flatten()
     simulations = np.zeros((n_iterations, days))
 
     for i in range(n_iterations):
         sample = np.random.choice(daily_returns, size=days, replace=True)
-        simulations[i] = np.cumprod(1 + sample) * data.iloc[-1]
+        simulations[i] = np.cumprod(1 + sample) * data.iloc[-1].item()  # Use .item() to get scalar value
 
     return simulations