Update app.py

app.py

@@ -58,16 +58,16 @@ if st.sidebar.button('Run Analysis'):
     stock_data = yf.download(ticker, start=start_date, end=end_date)
     
     if not stock_data.empty:
-        # Use "Close" since adjusted close no longer exists
+        # Use "Close" column; adjusted close no longer exists. Squeeze to ensure a 1D Series.
         stock_data = stock_data['Close'].squeeze()
-        stock_data = pd.Series(stock_data)  # ensure it is a Series
+        stock_data = pd.Series(stock_data)  # Ensure it's a Pandas Series
         stock_data['Returns'] = stock_data.pct_change()
         current_price = stock_data.iloc[-1]
 
         # Method 1: Volatility over dynamic periods
         fig1 = go.Figure()
         plot_data = stock_data[-rolling_window:]
-        # Convert last date to Timestamp before adding DateOffset
+        # Convert last index to Timestamp to add DateOffset
         last_date = pd.to_datetime(plot_data.index[-1])
         date_range = pd.date_range(last_date + pd.DateOffset(1), periods=time_horizon, freq='D')