edited script

.ipynb_checkpoints/[Reference and Explanation Notebook] Calculate Intrinsic Value of a Stock-checkpoint.ipynb

@@ -2617,8 +2617,8 @@
     "    if not EPS_growth_5Y.isdigit():\n",
     "        EPS_growth_5Y = finviz_data['EPS next Y']\n",
     "EPS_growth_6Y_to_10Y = EPS_growth_5Y/2  # Half the previous growth rate, conservative estimate\n",
-    "long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y/2, 3)  #  Around long term inflation rate, conservative estimate\n",
-    "\n",
+    "# Long term = previous growth rate or around long term inflation rate, whichever is lower to be conservative estimate\n",
+    "long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3)      \n",
     "shares_outstanding = finviz_data['Shs Outstand']\n",
     "\n",
     "print(\"TTM Free Cash Flow: \", cash_flow)\n",
@@ -3945,7 +3945,8 @@
     "        if not EPS_growth_5Y.isdigit():\n",
     "            EPS_growth_5Y = finviz_dict['EPS next Y']\n",
     "    EPS_growth_6Y_to_10Y = EPS_growth_5Y/2  # Half the previous growth rate, conservative estimate\n",
-    "    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3)  # Around long term inflation rate, conservative estimate\n",
+    "    # Long term = previous growth rate or around long term inflation rate, whichever is lower to be conservative estimate\n",
+    "    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3) \n",
     "    shares_outstanding = finviz_dict['Shs Outstand']\n",
     "    beta = finviz_dict['Beta']\n",
     "    current_price = finviz_dict['Price']\n",

[Reference and Explanation Notebook] Calculate Intrinsic Value of a Stock.ipynb

@@ -2617,8 +2617,8 @@
     "    if not EPS_growth_5Y.isdigit():\n",
     "        EPS_growth_5Y = finviz_data['EPS next Y']\n",
     "EPS_growth_6Y_to_10Y = EPS_growth_5Y/2  # Half the previous growth rate, conservative estimate\n",
-    "long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y/2, 3)  #  Around long term inflation rate, conservative estimate\n",
-    "\n",
+    "# Long term = previous growth rate or around long term inflation rate, whichever is lower to be conservative estimate\n",
+    "long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3)      \n",
     "shares_outstanding = finviz_data['Shs Outstand']\n",
     "\n",
     "print(\"TTM Free Cash Flow: \", cash_flow)\n",
@@ -3945,7 +3945,8 @@
     "        if not EPS_growth_5Y.isdigit():\n",
     "            EPS_growth_5Y = finviz_dict['EPS next Y']\n",
     "    EPS_growth_6Y_to_10Y = EPS_growth_5Y/2  # Half the previous growth rate, conservative estimate\n",
-    "    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3)  # Around long term inflation rate, conservative estimate\n",
+    "    # Long term = previous growth rate or around long term inflation rate, whichever is lower to be conservative estimate\n",
+    "    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3) \n",
     "    shares_outstanding = finviz_dict['Shs Outstand']\n",
     "    beta = finviz_dict['Beta']\n",
     "    current_price = finviz_dict['Price']\n",

app.py

@@ -138,7 +138,8 @@ def parse_finviz_dict(finviz_dict):
         if not EPS_growth_5Y.isdigit():
             EPS_growth_5Y = finviz_dict['EPS next Y']
     EPS_growth_6Y_to_10Y = EPS_growth_5Y/2  # Half the previous growth rate, conservative estimate
-    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y/2, 3)  # Around long term inflation rate, conservative estimate
+    # Long term = previous growth rate or around long term inflation rate, whichever is lower to be conservative estimate
+    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3)
     shares_outstanding = finviz_dict['Shs Outstand']
     beta = finviz_dict['Beta']
     current_price = finviz_dict['Price']
@@ -299,7 +300,7 @@ with gr.Blocks() as app:
     with gr.Row():
             EPS_growth_5Y = gr.Text(label="EPS Next 5Y (estimated EPS growth for next 5 years)")
             EPS_growth_6Y_to_10Y = gr.Text(label="EPS growth for 6th to 10th year (estimated as half of above)")
-            long_term_growth_rate = gr.Text(label="Long Term Growth Rate (estimated as half of above or 3%, whichever is lower)")  
+            long_term_growth_rate = gr.Text(label="Long Term Growth Rate (estimated as the above or 3%, whichever is lower)")  
     
     with gr.Row():
         beta = gr.Text(label="Beta (measures volatility of stock)")

app.py.bak

@@ -138,9 +138,8 @@ def parse_finviz_dict(finviz_dict):
         if not EPS_growth_5Y.isdigit():
             EPS_growth_5Y = finviz_dict['EPS next Y']
     EPS_growth_6Y_to_10Y = EPS_growth_5Y/2  # Half the previous growth rate, conservative estimate
-    #EPS_growth_11Y_to_20Y  = np.minimum(EPS_growth_6Y_to_10Y, 4)  # Around long term inflation rate, conservative estimate
-    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y/2, 3)  # Around long term inflation rate, conservative estimate
-    shares_outstanding = finviz_dict['Shs Outstand']
+    # Long term = previous growth rate or around long term inflation rate, whichever is lower to be conservative estimate
+    long_term_growth_rate = np.minimum(EPS_growth_6Y_to_10Y, 3)  shares_outstanding = finviz_dict['Shs Outstand']
     beta = finviz_dict['Beta']
     current_price = finviz_dict['Price']
     
@@ -300,7 +299,7 @@ with gr.Blocks() as app:
     with gr.Row():
             EPS_growth_5Y = gr.Text(label="EPS Next 5Y (estimated EPS growth for next 5 years)")
             EPS_growth_6Y_to_10Y = gr.Text(label="EPS growth for 6th to 10th year (estimated as half of above)")
-            long_term_growth_rate = gr.Text(label="Long Term Growth Rate (estimated as half of above or 3%, whichever is lower)")  
+            long_term_growth_rate = gr.Text(label="Long Term Growth Rate (estimated as the above or 3%, whichever is lower)")  
     
     with gr.Row():
         beta = gr.Text(label="Beta (measures volatility of stock)")