Algorithmic Trading – Machine Learning & Quant Strategies Course with Python
About this course
This comprehensive course teaches you three cutting-edge algorithmic trading strategies leveraging machine learning: an unsupervised learning strategy using S&P 500 stocks, a Twitter sentiment based investing approach targeting NASDAQ stocks, and an intraday trading strategy utilizing the GAR model. Led by experienced quantitative researcher Lazar, you'll gain insights into portfolio optimization, social media data analysis, and technical indicators.
What you should already know
Familiarity with Python programming and basic trading concepts is required to successfully engage with the course material.
What you will learn
By the end of this course, learners will develop practical quantitative trading strategies from conception to backtesting, and understand the workflow of implementing machine learning in trading without giving financial advice.