Test investpy (https://github.com/alvarob96/investpy) functions on World ETF Retrieval

world_etfs.py

#!/usr/bin/env python

# Copyright 2018-2019 Alvaro Bartolome
# See LICENSE for details.

__author__ = "Alvaro Bartolome <alvarob96@usal.es>"

import investpy
import pandas as pd
import datetime

# Listing Retrieval of Available ETFs

available_markets = investpy.get_etf_markets() # retrieves all the available merkets/countries for ETF retrieval

world_etf_df = investpy.get_etf_df(country=None) # ``country=None`` pandas.DataFrame containing all ETFs
autria_etf_df = investpy.get_etf_df(country='austria') # ``country=austria`` pandas.DataFrame containing all the ETFs from Austria

world_etf_list = investpy.get_etf_list(country=None) # ``country=None`` lists all ETFs
austria_etf_list = investpy.get_etf_list(country='austria') # ``country=austria`` lists all the ETFs from Austria

world_etf_dict = investpy.get_etf_dict(country=None, columns=['name', 'symbol'], as_json=False) # ``country=None`` dictionary containing all ETFs
austria_etf_dict = investpy.get_etf_dict(country='austria', columns=['name', 'symbol'], as_json=False) # ``country=austria`` dictionary containing all all the ETFs from Austria

# Historical Data Retrieval of Available ETFs
recent_df = investpy.get_etf_recent_data(etf='Russell High Dividend Australian Shares', as_json=False, order='ascending')

today = str(datetime.datetime.today().strftime('%d/%m/%Y'))
five_years_ago = str((datetime.datetime.today() - datetime.timedelta(days=5*365)).strftime('%d/%m/%Y'))

historical_df = investpy.get_etf_historical_data(etf='First Trust Canadian Capital Strength', start=five_years_ago, end=today, as_json=False, order='ascending')

# Please STAR investpy on https://github.com/alvarob96/investpy