Full Algorithmic Trading Course - Create a Trading Bot in 50 Lines of Code (Python Beginner's Tutorial)

In this video, we will use Python to scrape Wikipedia data and use it to create a trading algorithm in which we trade based on changes in the members of the S&P500 index. For this, we will use the QuantConnect algorithmic trading platform. Create your free QuantConnect account: https://www.quantconnect.com/?ref=towm (This is a referral link) Clone the algorithm here: https://www.quantconnect.com/forum/discussion/13745/web-scraping-wikipedia-data-to-use-in-your-algorithms-video-tutorial/p1?ref=towm Support me on Patreon: https://www.patreon.com/TradeOptionsWithMe Check out the Full Algorithmic Trading Playlist: https://youtube.com/playlist?list=PLtqRgJ_TIq8Y6YG8G-ETIFW_36mvxMLad SPY constituents dataset: https://www.quantconnect.com/datasets/quantconnect-us-etf-constituents?ref=towm DropBox custom data link: https://www.dropbox.com/s/ksi5liwjja8fxzv/SPYChanges.csv?dl=0 Note that you need to change the download (dl) flag to 1 inside your algorithm to access the data. I recommend downloading the data to your own dropbox in case of future availability issues. For the list of tickers referenced in the algorithm, use the link above to clone the code (the YT description box does not allow for that many characters) Follow me on: Facebook: https://www.facebook.com/Tradeoptionswithme/ Twitter: https://twitter.com/Louis_Options Pinterest: https://www.pinterest.com/louistradeoptionswithme/ Instagram: https://www.instagram.com/tradeoptionswithme/