In this comprehensive course on algorithmic trading, you will learn about three cuttingedge trading strategies to enhance your financial toolkit. In the first module, you'll explore the Unsupervised Learning Trading Strategy, utilizing S&P 500 stocks data to master features, indicators, and portfolio optimization.

Next, you'll leverage the power of social media with the Twitter Sentiment Investing Strategy, ranking NASDAQ stocks based on engagement and evaluating performance against the QQQ return. Lastly, the Intraday Strategy will introduce you to the GARCH model, combining it with technical indicators to capture both daily and intraday signals for potential lucrative positions.

✏ Course developed by @lachone_

Code and course resources: https://github.com/Luchkata/Algorithm...

You can sign up for the data API used here: https://intelligence.financialmodelin...

Learn more about Lachezar and Quantitative Trading with Python here: https://www.quantfactory.ai/p/become...

⭐ Contents ⭐
0:00:00 Algorithmic Trading & Machine Learning Fundamentals
0:15:25 Building An Unsupervised Learning Trading Strategy
2:05:08 Building A Twitter Sentiment Investing Strategy
2:28:08 Building An Intraday Strategy Using GARCH Model

Thanks to our Champion and Sponsor supporters:
davthecoder
jediorsith
南宮千影
Agustín Kussrow
Nattira Maneerat
Heather Wcislo
Serhiy Kalinets
Justin Hual
Otis Morgan
Oscar Rahnama



Learn to code for free and get a developer job: https://www.freecodecamp.org

Read hundreds of articles on programming: https://freecodecamp.org/news