Update pages/portfolio_tracker.py

pages/portfolio_tracker.py

@@ -88,56 +88,57 @@ for i in range(len(comp_info)-1):
 with st.form(key="selecting columns"):
     symbols = st.multiselect(label='Select Tickers:', options=list_of_tickers)
     submit_button = st.form_submit_button(label='Evaluate')
+
+st.write(symbols)
+
+# if submit_button and symbols:
+#     beta_dfs = []
+#     gains_data = {}
+#     hash_map = {}
     
-if submit_button and symbols:
-    st.write(symbols)
-    beta_dfs = []
-    gains_data = {}
-    hash_map = {}
-    
-    for ticker in symbols:
-      # make all the API calls and capture return json
-      basic_info = get_industry(ticker) 
-      metric_data, annual_series_data, quarterly_series_data  = get_company_metrics(ticker)
+#     for ticker in symbols:
+#       # make all the API calls and capture return json
+#       basic_info = get_industry(ticker) 
+#       metric_data, annual_series_data, quarterly_series_data  = get_company_metrics(ticker)
       
-      # reformat all JSON returns to be flattened dictionaries 
-      roe_dict = {'roe': annual_series_data['roe'][0]['v']}
-      totalDebtToTotalCapital_y_dict = {'totalDebtToTotalCapital_y' : annual_series_data['totalDebtToTotalCapital'][0]['v']}
-      totalDebtToEquity_y_dict = {'totalDebtToEquity_y' :   annual_series_data['totalDebtToEquity'][0]['v']}
-      eps_dict = {'eps' :   annual_series_data['eps'][0]['v']}
-      totalDebtToTotalCapital_q_dict = {'totalDebtToTotalCapital_q' :   quarterly_series_data['totalDebtToTotalCapital'][0]['v']}
-      totalDebtToEquity_q_dict = {'totalDebtToEquity_q' :   quarterly_series_data['totalDebtToEquity'][0]['v']}
+#       # reformat all JSON returns to be flattened dictionaries 
+#       roe_dict = {'roe': annual_series_data['roe'][0]['v']}
+#       totalDebtToTotalCapital_y_dict = {'totalDebtToTotalCapital_y' : annual_series_data['totalDebtToTotalCapital'][0]['v']}
+#       totalDebtToEquity_y_dict = {'totalDebtToEquity_y' :   annual_series_data['totalDebtToEquity'][0]['v']}
+#       eps_dict = {'eps' :   annual_series_data['eps'][0]['v']}
+#       totalDebtToTotalCapital_q_dict = {'totalDebtToTotalCapital_q' :   quarterly_series_data['totalDebtToTotalCapital'][0]['v']}
+#       totalDebtToEquity_q_dict = {'totalDebtToEquity_q' :   quarterly_series_data['totalDebtToEquity'][0]['v']}
     
-      # merge all dictionary keys per ticker
-      combined_info = basic_info.copy()  # Make a copy of the basic info
-      combined_info = combined_info | metric_data | roe_dict | totalDebtToTotalCapital_y_dict | totalDebtToEquity_q_dict |totalDebtToEquity_y_dict | eps_dict | totalDebtToTotalCapital_q_dict
+#       # merge all dictionary keys per ticker
+#       combined_info = basic_info.copy()  # Make a copy of the basic info
+#       combined_info = combined_info | metric_data | roe_dict | totalDebtToTotalCapital_y_dict | totalDebtToEquity_q_dict |totalDebtToEquity_y_dict | eps_dict | totalDebtToTotalCapital_q_dict
     
-      hash_map[ticker] = combined_info
+#       hash_map[ticker] = combined_info
     
-      # beta calculations
-      df_b = calc_beta(ticker)
-      beta_dfs.append(df_b)
+#       # beta calculations
+#       df_b = calc_beta(ticker)
+#       beta_dfs.append(df_b)
       
-      # equity gains
-      _, div = get_equity_gains(ticker=ticker, period=1810)
-      gains_data[ticker] = div
+#       # equity gains
+#       _, div = get_equity_gains(ticker=ticker, period=1810)
+#       gains_data[ticker] = div
     
-    # Now, create a DataFrame from the hash_map
-    df_1 = pd.DataFrame.from_dict(hash_map, orient='index')[['finnhubIndustry','eps','roe','dividendGrowthRate5Y','epsGrowth5Y','payoutRatioAnnual','payoutRatioTTM','roeTTM','totalDebtToEquity_y','totalDebtToEquity_q', 'totalDebtToTotalCapital_y','totalDebtToTotalCapital_q']]
-    # Create beta df
-    beta_df = pd.concat(beta_dfs)
-    df_2 = pd.DataFrame(list(gains_data.items()), columns=['symbol', 'recent_dividend']).set_index('symbol')
+#     # Now, create a DataFrame from the hash_map
+#     df_1 = pd.DataFrame.from_dict(hash_map, orient='index')[['finnhubIndustry','eps','roe','dividendGrowthRate5Y','epsGrowth5Y','payoutRatioAnnual','payoutRatioTTM','roeTTM','totalDebtToEquity_y','totalDebtToEquity_q', 'totalDebtToTotalCapital_y','totalDebtToTotalCapital_q']]
+#     # Create beta df
+#     beta_df = pd.concat(beta_dfs)
+#     df_2 = pd.DataFrame(list(gains_data.items()), columns=['symbol', 'recent_dividend']).set_index('symbol')
     
-    df_apis = df_1.join(beta_df)
-    df_final = df_apis.join(df_2)
+#     df_apis = df_1.join(beta_df)
+#     df_final = df_apis.join(df_2)
     
-    # calculate additional columns 
-    df_final['5Y_SP500_growth'], _ = get_equity_gains(ticker= '^GSPC', period=1810)
+#     # calculate additional columns 
+#     df_final['5Y_SP500_growth'], _ = get_equity_gains(ticker= '^GSPC', period=1810)
     
-    df_final['90_day_tbill'] = 4.06
+#     df_final['90_day_tbill'] = 4.06
     
-    df_final['CAPM'] = df_final['90_day_tbill']/100 + df_final['Beta']*(df_final['5Y_SP500_growth'] - df_final['90_day_tbill']/100)
+#     df_final['CAPM'] = df_final['90_day_tbill']/100 + df_final['Beta']*(df_final['5Y_SP500_growth'] - df_final['90_day_tbill']/100)
     
-    df_final['DDM'] = (df_final['recent_dividend'] * (1+df_final['dividendGrowthRate5Y']/100)) / (df_final['CAPM'] - df_final['dividendGrowthRate5Y']/100)
+#     df_final['DDM'] = (df_final['recent_dividend'] * (1+df_final['dividendGrowthRate5Y']/100)) / (df_final['CAPM'] - df_final['dividendGrowthRate5Y']/100)
     
-    st.write(df_final)
+#     st.write(df_final)