app.py

import streamlit as st
import yfinance as yf
import pandas as pd
import numpy as np

def fetch_stock_data(ticker_symbol):
 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 = {}
 
 return ratios

# Streamlit UI
st.title('Stock Financial Ratios Analysis')

ticker_symbol = st.text_input('Enter Stock Ticker Symbol (e.g., AAPL, MSFT):').upper()

if ticker_symbol:
 ratios = fetch_stock_data(ticker_symbol)
 
 if ratios:
 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.")