Create app.py

app.py

@@ -0,0 +1,43 @@
+import streamlit as st
+import yfinance as yf
+import pandas as pd
+import matplotlib.pyplot as plt
+
+st.title('Stock vs S&P 500 and Dow Jones Comparison')
+
+# User input
+user_stock = st.text_input('Enter a stock symbol (e.g., AAPL, TSLA, MSFT)', 'MAR')
+
+if user_stock:
+    tickers = [user_stock.upper(), '^GSPC', '^DJI']
+    
+    try:
+        # Download past 1 year of daily data
+        data = yf.download(tickers, period='1y', interval='1d')
+
+        # Check if user stock symbol returned data
+        if data.empty or user_stock.upper() not in data.columns.get_level_values(1):
+            st.error('Not a valid stock symbol')
+        else:
+            # If MultiIndex, focus on 'Close' prices
+            if isinstance(data.columns, pd.MultiIndex):
+                close_prices = data['Close']
+            else:
+                close_prices = data
+
+            # Normalize (start at 100)
+            normalized = close_prices / close_prices.iloc[0] * 100
+
+            # Plot
+            fig, ax = plt.subplots(figsize=(12, 6))
+            for column in normalized.columns:
+                ax.plot(normalized.index, normalized[column], label=column)
+
+            ax.set_title(f'{user_stock.upper()} vs S&P 500 vs Dow Jones (Past 1 Year)')
+            ax.set_xlabel('Date')
+            ax.set_ylabel('Normalized Price (Start = 100)')
+            ax.legend()
+            ax.grid(True)
+            st.pyplot(fig)
+    except Exception as e:
+        st.error('Not a valid stock symbol')