In this comprehensive course on algorithmic trading, you will learn about three cutting-edge trading strategies to enhance your financial toolkit. In the first module, you'll explore the Unsupervised Learning Trading Strategy, utilizing Su0026P 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.

💻 Code and course resources: https://github.com/Luchkata/Algorithmic_Trading_Machine_Learning/tree/main

🔗 You can sign up for the data API used here: https://intelligence.financialmodelingprep.com/pricing-plans?couponCode=lachezarytu0026utm_source=youtubeu0026utm_medium=youtubeu0026utm_campaign=lachezarfcc

🔗 Learn more about Lachezar and Quantitative Trading with Python here: https://www.quantfactory.ai/p/become-a-quant-trader1

❤️ Try interactive Python courses we love, right in your browser: https://scrimba.com/freeCodeCamp-Python (Made possible by a grant from our friends at Scrimba)

⭐️ Contents ⭐️
0:00:00 – Algorithmic Trading u0026 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
👾 jedi-or-sith
👾 南宮千影
👾 Agustín Kussrow
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Justin Hual
👾 Otis Morgan
👾 Oscar Rahnama

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