# February 12, 2020 - March 23, 2020

TOP 3 MOST VISITED NEWS/MEDIA SITES:
twitter
facebook
reddit


# websites for potential sources:
# certain twitter account tweets, replies, and retweets
# ?also maybe random twitter accounts
# marketwatch.com
# finance.yahoo.com
# reuters.com
# bloomberg.com
# fool.com
# businessinsider.com
# subreddits:reddit.com/r/wallstreetbets/, https://www.reddit.com/r/investing/,
# finviz.com
# seekingalpha.com
# european: marketscreener.com/,
# https://www.teletrader.com
# facebook.com
#https://www.fxstreet.com/analysis
#http://www.google.com/finance
#
# Ferbruary 2, 2020 - March 23, 2020
import pandas as pd
from selenium import webdriver
import quandl

# class sectordf:
#     nasdaq_url = 'https://www.nasdaq.com/market-activity/stocks/screener?exchange=nyse&letter=0&render=download'
#     def __init__(self, website='universal', sector='universal'):
#         if website&sector=='universal':
#             pass
#         if website.lower()=='nasdaq':
#             if sector.lower()=='universal':
#                 pass
#             if sector.lower()=='financial':
#                 driver = webdriver.Chrome()
#                 driver.get(nasdaq_url)
#             if sector.lower()=='healthcare':
#                 pass
#             if sector.lower()=='conglomerates':
#                 pass
#             if sector.lower()=='consumer goods':
#                 pass
#             if sector.lower()=='services':
#                 pass
#             if sector.lower()=='utilities':
#                 pass
#             if sector.lower()=='basic materials':
#                 pass
#             if sector.lower()=='technology':
#                 pass
#             if sector.lower()=='industrial goods':
#                 pass
#
#     def nasdaq_get_sect():
        # pass

# df = sectordf(website='nasdaq', sector='financial')

marketwatch_url = 'https://www.marketwatch.com/latest-news?mod=top_nav'
driver = webdriver.chrome()

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