Update app.py

app.py

@@ -4313,6 +4313,7 @@ for ticker_symbol in top_ten_tickers:
             daily_returns = stock_data['Daily_Return']
             sharpe_ratio = np.mean(daily_returns - daily_risk_free_rate) / np.std(daily_returns)
             sharpe_ratios.append((ticker_symbol, sharpe_ratio))
+            print(ticker_symbol)
 
 # Sort the list of tuples based on Sharpe ratios
 sorted_sharpe_ratios = sorted(sharpe_ratios, key=lambda x: x[1], reverse=True)