Update app.py

app.py

@@ -234,6 +234,39 @@ def calculate_intrinsic_value(latest_year, cash_flow, total_debt, cash_and_ST_in
     margin_of_safety = (1-current_price/intrinsic_value)*100
     
     return forecast_cash_flows_df, terminal_value, intrinsic_value, margin_of_safety
+    
+    
+# 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
+def calculate_multiple_intrinsic_values(latest_year, cash_flow, total_debt, cash_and_ST_investments, 
+                                  EPS_growth_5Y, EPS_growth_6Y_to_10Y, long_term_growth_rate,
+                                  shares_outstanding, discount_rate, current_price):   
+       
+    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 df_intrinsic_values
 
 
 # Plot forecasted cash flows from years 1 to 10, as well as the discounted cash flows
@@ -270,37 +303,15 @@ def run_all_steps(ticker):
 
     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()
+    df_intrinsic_values = calculate_multiple_intrinsic_values(latest_year, cash_flow, total_debt, cash_and_ST_investments, 
+                                  EPS_growth_5Y, EPS_growth_6Y_to_10Y, long_term_growth_rate,
+                                  shares_outstanding, discount_rate, current_price)
     
     
     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) + '%', \
         beta, shares_outstanding, current_price, \
-        str(discount_rate) + '%', forecast_cash_flows_df.reset_index(), terminal_value, intrinsic_value, fig_cash_forecast, str(margin_of_safety) + '%'
+        str(discount_rate) + '%', forecast_cash_flows_df.reset_index(), terminal_value, intrinsic_value, fig_cash_forecast, str(margin_of_safety) + '%', df_intrinsic_values
       
 
 # Gradio App and UI