Update app.py

app.py

@@ -53,7 +53,7 @@ def output_results(start_date, end_date, tickers_string):
     fig_cum_returns = plot_cum_returns(stocks_df, 'Cumulative Returns of Individual Stocks Starting with $100')
     
     # Calculatge and Plot Correlation Matrix between Stocks
-    corr_df = stocks_df.corr().round(2)
+    corr_df = stocks_df.corr().round(4)
     fig_corr = px.imshow(corr_df, text_auto=True, title = 'Correlation between Stocks')
 
     # Calculate expected returns and sample covariance matrix for portfolio optimization later