Update app.py

app.py

@@ -1,49 +1,70 @@
 import streamlit as st
 import yfinance as yf
 import pandas as pd
-import numpy as np
+
+# Predefined list of S&P 500 stocks for selection
+stocks = ['AAPL', 'MSFT', 'AMZN', 'GOOGL', 'FB', 'BRK.B', 'JNJ', 'V', 'PG', 'JPM',
+          'UNH', 'MA', 'INTC', 'VZ', 'HD', 'T', 'DIS', 'MRK', 'PFE', 'BAC', 
+          'KO', 'WMT', 'MCD', 'ABT', 'CSCO', 'PEP', 'NFLX', 'XOM', 'CVX', 'NKE', 
+          'LLY', 'ADBE', 'CMCSA', 'ORCL', 'CRM', 'TMO', 'ACN', 'ABBV', 'AVGO', 'TXN',
+          'COST', 'DHR', 'MDT', 'NEE', 'PYPL', 'AMGN', 'HON', 'LIN', 'PM', 'BA',
+          'UNP', 'IBM', 'QCOM', 'LMT', 'BMY', 'SBUX', 'MMM', 'GE', 'CAT', 'CVS',
+          'WFC', 'SCHW', 'RTX', 'AMT', 'GS', 'DE', 'C', 'MS', 'GILD', 'UPS', 
+          'BLK', 'MO', 'MDLZ', 'INTU', 'TGT', 'AXP', 'ANTM', 'ISRG', 'SYK', 'CI', 
+          'PGR', 'BKNG', 'CL', 'SPGI', 'MMC', 'BDX', 'ADP', 'CME', 'USB', 'TJX', 
+          'ZTS', 'FIS', 'GM', 'CB', 'CHTR', 'PLD', 'SO', 'COP', 'DUK', 'EL']
+
+# Assuming you have an updated CSV with S&P 500 averages for financial ratios
+sp500_averages_path = 'sp500_averages.csv'
+
+def load_sp500_averages(filepath):
+    # Load S&P 500 averages from a CSV file
+    return pd.read_csv(filepath, index_col='Ratio')
 
 def fetch_stock_data(ticker_symbol):
+    # Fetch financial data for a single stock
     ticker = yf.Ticker(ticker_symbol)
-    hist = ticker.history(period="1mo")  # Fetch historical data for the last month
     info = ticker.info
     
-    # Calculating some financial ratios
-    try:
-        pe_ratio = info['forwardPE']
-        pb_ratio = info['priceToBook']
-        ps_ratio = info.get('priceToSalesTrailing12Months', np.nan)
-        debt_to_equity = info.get('debtToEquity', np.nan)
-        roe = info.get('returnOnEquity', np.nan)
-        earnings_yield = 1 / pe_ratio if pe_ratio else np.nan
-        book_to_market_ratio = 1 / pb_ratio if pb_ratio else np.nan
-        
-        ratios = {
-            'P/E Ratio': pe_ratio,
-            'P/B Ratio': pb_ratio,
-            'P/S Ratio': ps_ratio,
-            'Debt to Equity': debt_to_equity,
-            'Return on Equity (ROE)': roe,
-            'Earnings Yield': earnings_yield,
-            'Book-to-Market Ratio': book_to_market_ratio,
-        }
-    except Exception as e:
-        st.error(f"Failed to fetch data for {ticker_symbol}: {e}")
-        ratios = {}
+    pb_ratio = info.get('priceToBook')
+    book_to_market_ratio = 1 / pb_ratio if pb_ratio and pb_ratio > 0 else None
     
-    return ratios
+    financials = {
+        'P/E Ratio': info.get('forwardPE'),
+        'P/B Ratio': pb_ratio,
+        'P/S Ratio': info.get('priceToSalesTrailing12Months'),
+        'Debt to Equity Ratio': info.get('debtToEquity'),
+        'Return on Equity': info.get('returnOnEquity'),
+        'Book-to-Market Ratio': book_to_market_ratio,
+    }
+    return financials
+
+def compare_to_index(stock_ratios, index_averages):
+    # Compare stock ratios to S&P 500 averages
+    comparison = {}
+    for ratio, value in stock_ratios.items():
+        average = index_averages.loc[ratio]['Average']
+        comparison[ratio] = 'Higher' if value > average else 'Lower'
+    return comparison
+
+# Load S&P 500 averages
+sp500_averages = load_sp500_averages(sp500_averages_path)
 
-# Streamlit UI
-st.title('Stock Financial Ratios Analysis')
+# User interface in Streamlit
+st.title('S&P 500 Stock Comparison Tool')
 
-ticker_symbol = st.text_input('Enter Stock Ticker Symbol (e.g., AAPL, MSFT):').upper()
+# Selection of stock from predefined list
+ticker_symbol = st.selectbox('Select a stock', options=stocks)
 
 if ticker_symbol:
-    ratios = fetch_stock_data(ticker_symbol)
-    
-    if ratios:
+    with st.spinner(f'Fetching data for {ticker_symbol}...'):
+        stock_data = fetch_stock_data(ticker_symbol)
+        comparison = compare_to_index(stock_data, sp500_averages)
+        
         st.write(f"Financial Ratios for {ticker_symbol}:")
-        for ratio, value in ratios.items():
-            st.write(f"{ratio}: {value}")
-    else:
-        st.write("No data available for the given ticker symbol.")
+        for ratio, value in stock_data.items():
+            status = comparison.get(ratio, 'N/A')
+            st.write(f"{ratio}: {value} ({status} than S&P 500 average)")
+
+
+