mirror of
https://github.com/OpenBB-finance/OpenBB.git
synced 2026-10-31 14:31:20 +00:00
65 lines
2.8 KiB
Python
65 lines
2.8 KiB
Python
import argparse
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import pandas as pd
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import requests
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from bs4 import BeautifulSoup
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from helper_funcs import check_positive
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# ---------------------------------------------------- ORDERS ----------------------------------------------------
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def orders(l_args):
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parser = argparse.ArgumentParser(prog='orders',
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description='''Orders by Fidelity customers. Information shown in the table below
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is based on the volume of orders entered on the "as of" date shown. Securities
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identified are not recommended or endorsed by Fidelity and are displayed for
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informational purposes only. [Source: Fidelity]''')
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parser.add_argument('-n', "--num", action="store", dest="n_num", type=check_positive, default=10,
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help='Number of top ordered stocks to be printed.')
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try:
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(ns_parser, l_unknown_args) = parser.parse_known_args(l_args)
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if l_unknown_args:
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print(f"The following args couldn't be interpreted: {l_unknown_args}")
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url_orders = f"https://eresearch.fidelity.com/eresearch/gotoBL/fidelityTopOrders.jhtml"
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text_soup_url_orders = BeautifulSoup(requests.get(url_orders).text, "lxml")
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l_orders = list()
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l_orders_vals = list()
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idx = 0
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for orders in text_soup_url_orders.findAll('td', {'class' : ['second', 'third', 'fourth', 'fifth', 'sixth', 'seventh', 'eight']}):
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if ((idx+1)%3 == 0) or ((idx+1)%4 == 0) or ((idx+1)%6 == 0):
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l_orders_vals.append(orders.contents[1])
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elif ((idx+1)%5 == 0):
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s_orders = str(orders)
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l_orders_vals.append(s_orders[s_orders.find('title="') + len('title="'): s_orders.find('"/>')])
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else:
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l_orders_vals.append(orders.text.strip())
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idx += 1
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# Add value to dictionary
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if (idx+1)%8 == 0:
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l_orders.append(l_orders_vals)
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l_orders_vals = list()
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idx = 0
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df_orders = pd.DataFrame(l_orders, columns = ['Symbol', 'Company', 'Price Change', '# Buy Orders',
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'Buy / Sell Ratio', '# Sell Orders', 'Latest News'])
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df_orders = df_orders[['Symbol', 'Buy / Sell Ratio', 'Price Change', 'Company', '# Buy Orders', '# Sell Orders', 'Latest News']]
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print(text_soup_url_orders.findAll('span', {'class' : 'source'})[0].text.capitalize() + ':')
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pd.set_option('display.max_colwidth', -1)
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print(df_orders.head(n=ns_parser.n_num).iloc[:,:-1].to_string(index=False))
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print("")
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except SystemExit:
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print("")
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return
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