Create app.py

app.py

@@ -0,0 +1,49 @@
+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.")