Update app.py

app.py

@@ -269,6 +269,33 @@ def run_all_steps(ticker):
                                       shares_outstanding, discount_rate, current_price)
 
     fig_cash_forecast = plot_forecasted_cash_flows(ticker, forecast_cash_flows_df)
+
+    # Discount rate and long term growth rate can change intrinsic value significantly
+    # So we estimate the intrinsic values for the different discount rates and long term growth rates below and store them in a DataFrame
+    discount_rates = [discount_rate-2, discount_rate-1.5, 
+                  discount_rate-1, discount_rate-0.5, 
+                  discount_rate, 
+                  discount_rate+0.5, discount_rate+1,
+                  discount_rate+1.5, discount_rate+2]
+                  
+    long_term_growth_rates = [long_term_growth_rate-1, long_term_growth_rate-0.5, 
+                          long_term_growth_rate, 
+                          long_term_growth_rate+0.5, long_term_growth_rate+1]
+                         
+                          
+    intrinsic_values = {}
+    for dr in discount_rates:
+        intrinsic_values[dr] = {}
+        for lr in long_term_growth_rates:
+            _, _, intrinsic_value, _ = calculate_intrinsic_value(latest_year, cash_flow, total_debt, cash_and_ST_investments, 
+                                      EPS_growth_5Y, EPS_growth_6Y_to_10Y, lr,
+                                      shares_outstanding, dr, current_price)
+            intrinsic_values[dr][lr] = intrinsic_value
+    
+    df_intrinsic_values = pd.DataFrame(intrinsic_values).T
+    df_intrinsic_values.index.name = 'Discount Rates'
+    df_intrinsic_values = df_intrinsic_values.reset_index()
+    
     
     return q_cash_flow_statement.reset_index(), final_cash_flow_statement.reset_index(), q_balance_statement.reset_index(), fig_cash_flow, \
         str(EPS_growth_5Y) + '%', str(EPS_growth_6Y_to_10Y) + '%', str(long_term_growth_rate) + '%', \
@@ -293,7 +320,14 @@ with gr.Blocks() as app:
         intrinsic_value = gr.Text(label="Intrinsic Value (if this value is negative, it means current cash flow may be negative and this model WOULD NOT WORK, scroll down to check)")
         current_price = gr.Text(label="Actual Stock Price")
         margin_of_safety = gr.Text(label="Margin of Safety")
-    
+
+    # Discount rate and long term growth rate can change intrinsic value significantly, so we show all of the estimates here
+    with gr.Row():    
+        gr.HTML("<h2>Intrinsic Values with Different Discount Rates (in Rows) Long Term Growth Rates (in Columns)</h2>")
+    with gr.Row():  
+        df_intrinsic_values = gr.DataFrame(label="Intrinsic Values with Different Discount Rates/Long Term Growth Rates")
+
+        
     # Show metrics obtained and estimated from FinViz website that were essential for calculations
     with gr.Row():
         gr.HTML("<h2>Metrics Obtained (and Estimated) from FinViz Website</h2>")
@@ -348,11 +382,11 @@ with gr.Blocks() as app:
     btn.click(fn=run_all_steps, inputs=[ticker], 
               outputs=[q_cash_flow_statement, final_cash_flow_statement, q_balance_statement, fig_cash_flow, \
         EPS_growth_5Y, EPS_growth_6Y_to_10Y, long_term_growth_rate, beta, shares_outstanding, current_price, \
-        discount_rate, forecast_cash_flows_df, terminal_value, intrinsic_value, fig_cash_forecast, margin_of_safety])
+        discount_rate, forecast_cash_flows_df, terminal_value, intrinsic_value, fig_cash_forecast, margin_of_safety, df_intrinsic_values])
 
     ticker.submit(fn=run_all_steps, inputs=[ticker], 
               outputs=[q_cash_flow_statement, final_cash_flow_statement, q_balance_statement, fig_cash_flow, \
         EPS_growth_5Y, EPS_growth_6Y_to_10Y, long_term_growth_rate, beta, shares_outstanding, current_price, \
-        discount_rate, forecast_cash_flows_df, terminal_value, intrinsic_value, fig_cash_forecast, margin_of_safety])
+        discount_rate, forecast_cash_flows_df, terminal_value, intrinsic_value, fig_cash_forecast, margin_of_safety, df_intrinsic_values])
 
 app.launch()