investpy_equities.py

# Python3.x
import investpy
import pandas as pd

import random

from pprint import pprint


# This function retrieves all the available equities indexed on es.Investing.com
available_equities = investpy.get_equities_list()
pprint(available_equities)

# As a test, you can either pick a random one or just pass as parameter a specific one
random_equity = random.choice(available_equities)
print(random_equity)

selected_equity = 'bbva'

# Once we select an equity, we can get its recent historical data or specify a range of 
# time to retrieve historical data from using the following functions respectively. In this
# case we will be retrieving the information as a pandas.DataFrame, but we can also retrieve
# it as a json file, for more information type in terminal: help(get_recent_data) or
# help(get_historical_data)
recent_df = investpy.get_recent_data(equity=selected_equity,
                                     as_json=False,
                                     order='ascending')
print(recent_df.head())

historical_df = investpy.get_historical_data(equity=random_equity,
                                             start='01/01/2010',
                                             end='01/01/2019',
                                             as_json=False,
                                             order='ascending')
print(historical_df.head())

# The Company Profile from an equity can also be retrieved using investpy,
# the equity name to retrieve the data from and the language (spanish or english)
# need to be specified as it follows.
company_profile = investpy.get_equity_company_profile(equity=selected_equity, language='english')
pprint(company_profile)

# For any further information or advice feel free to email me at: alvarob96@usal.es
# and if needed, open an issue in: https://github.com/alvarob96/investpy/issues