Add Fidelity orders by customers

discovery/disc_menu.py

@@ -6,6 +6,7 @@ from discovery import reddit_api
 from discovery import finviz_api
 from discovery import short_interest_api
 from discovery import seeking_alpha_api
+from discovery import fidelity_api
 
 
 # -----------------------------------------------------------------------------------------------------------------------
@@ -20,6 +21,7 @@ def print_discovery():
     print("   map           S&P500 index stocks map [Finviz]")
     print("   sectors       show sectors performance [Alpha Vantage]")
     print("   gainers       show latest top gainers [Yahoo Finance]")
+    print("   orders        Orders by Fidelity Customers [Fidelity]")
     print("   earnings      next earnings release dates [Seeking Alpha]")
     print("   high_short    show top high short interest stocks of over 20% ratio [www.highshortinterest.com]")
     print("   low_float     show low float stocks under 10M shares float [www.lowfloat.com]")
@@ -40,7 +42,7 @@ def disc_menu():
     # Add list of arguments that the discovery parser accepts
     disc_parser = argparse.ArgumentParser(prog='discovery', add_help=False)
     disc_parser.add_argument('cmd', choices=['help', 'q', 'quit',
-                                             'map', 'sectors', 'gainers', 'high_short', 'low_float', 'earnings',
+                                             'map', 'sectors', 'gainers', 'orders', 'high_short', 'low_float', 'earnings',
                                              'watchlist', 'spac', 'spac_c', 'wsb', 'popular'])
 
     print_discovery()
@@ -81,6 +83,10 @@ def disc_menu():
         elif ns_known_args.cmd == 'gainers':
             yahoo_finance_api.gainers(l_args)
 
+        # --------------------------------------------------- FIDELITY ---------------------------------------------------
+        elif ns_known_args.cmd == 'orders':
+            fidelity_api.orders(l_args)
+
         # ------------------------------------------------ SEEKING ALPHA ------------------------------------------------
         elif ns_known_args.cmd == 'earnings':
             seeking_alpha_api.earnings_release_dates(l_args)

discovery/fidelity_api.py

@@ -0,0 +1,57 @@
+import argparse
+from bs4 import BeautifulSoup
+import requests
+import pandas as pd
+import re
+from stock_market_helper_funcs import *
+
+# ---------------------------------------------------- ORDERS ----------------------------------------------------
+def orders(l_args):
+    parser = argparse.ArgumentParser(prog='orders', description='''Orders by Fidelity customers''')
+
+    parser.add_argument('-n', "--num", action="store", dest="n_num", type=check_positive, default=10, help='Top orders')
+    
+    try:
+        (ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
+
+        if l_unknown_args:
+            print(f"The following args couldn't be interpreted: {l_unknown_args}")
+
+        url_orders = f"https://eresearch.fidelity.com/eresearch/gotoBL/fidelityTopOrders.jhtml"
+        text_soup_url_orders = BeautifulSoup(requests.get(url_orders).text, "lxml")
+        
+        l_orders = list()
+        l_orders_vals = list()
+        idx = 0
+        for orders in text_soup_url_orders.findAll('td', {'class' : ['second', 'third', 'fourth', 'fifth', 'sixth', 'seventh', 'eight']}):
+            
+            if ((idx+1)%3 == 0) or ((idx+1)%4 == 0) or ((idx+1)%6 == 0):
+                l_orders_vals.append(orders.contents[1])
+            elif ((idx+1)%5 == 0):
+                s_orders = str(orders)
+                l_orders_vals.append(s_orders[s_orders.find('title="') + len('title="'): s_orders.find('"/>')])
+            else:
+                l_orders_vals.append(orders.text.strip())
+            
+            idx += 1
+            
+            # Add value to dictionary
+            if (idx+1)%8 == 0:
+                l_orders.append(l_orders_vals)
+                l_orders_vals = list()
+                idx = 0
+
+        df_orders = pd.DataFrame(l_orders, columns = ['Symbol', 'Company', 'Price Change', '# Buy Orders', 
+                                                'Buy / Sell Ratio', '# Sell Orders', 'Latest News'])
+
+        df_orders = df_orders[['Symbol', 'Buy / Sell Ratio', 'Price Change', 'Company', '# Buy Orders', '# Sell Orders', 'Latest News']]
+
+        print(text_soup_url_orders.findAll('span', {'class' : 'source'})[0].text.capitalize() + ':')
+
+        pd.set_option('display.max_colwidth', -1)
+        print(df_orders.head(n=ns_parser.n_num).iloc[:,:-1].to_string(index=False))
+        print("")
+
+    except SystemExit:
+        print("")
+        return