I wrote Robot Wealth’s keystone course, Fundamentals of Algorithmic Trading, as a step-by-step, practical guide for complete beginners interested in learning a systematic approach to the markets in general and algorithmic trading specifically.
I followed this up with Advanced Algorithmic Trading , which builds on the principles in the Fundamentals course, and introduces a whole range of advanced statistical, quantitative, and machine learning tools used in professional practice. It teaches you how to think like a quant and put your ideas to the test by designing statistically sound experiments. You’ll also learn how to build portfolios of trading algorithms across multiple markets and time scales that diversify risk and compound returns. It’s full of worked examples, trading strategies based on various market anomalies, and tools for increasing the productivity of your self-managed trading business. It is the most comprehensive treatment of algorithmic trading that I have ever seen.
Together, the courses represent all the stuff that I wish I’d had access to when I started.
The courses encapsulate the knowledge that worked for me: the things that enabled me to manage my trading and investing capital independently, and ultimately to leave my day job to forge a career trading and consulting to professional money managers.
The Robot Wealth courses are the cornerstone of the service we provide, but we are also more than education providers. Through our members’ forum, we provide a vibrant hub for collaboration and ideas exchange amongst likeminded individuals at all levels of skill and experience. At the time of writing, we count amongst our active members complete beginners, ex bank traders, and everything in between. Our members are also assisted by our growing library of pre-coded tools and research frameworks written in various programming languages, including a framework for efficient experimentation with machine learning and a suite of robustness testing tools.