We teach simple quant trading techniques that anyone can apply.

Trade Like a Quant Bootcamp is currently closed for enrolment.

Trade Like a Quant Bootcamp will open again for enrolments in April 2024.


Join the waitlist for bootcamp by subscribing to our newsletter.

Hi! We’re James & Kris

We guide the Robot Wealth community with the trading approach that, between us, we’ve used for over 30 years.

We’re here to help you fast-track your systematic trading portfolio and your quant trading skills.

Quant Trading Bootcamps

We run quant trading Bootcamps – open to the public – several times a year.

In Bootcamp, you will learn a simple, high-probability, quantitative approach to trading that can work for you, the non-professional trader. You will focus on simple strategies based on economically-sensible, quantifiable market edges that a part-time trader can manage.

Bootcamp enrollment is currently CLOSED. Join the waiting list for the next edition here.

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LATEST BLOG POSTS

  • Getting Started with the Interactive Brokers Native API
    Here at Robot Wealth, we trade with Interactive Brokers (IB) primarily because they offer access to global markets at a reasonable price. In recent times, IB has put some time and effort into upping its tech game, including development of an API for interacting with its desktop trading applications. An application that interacts with IB’s …

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  • Navigating Tradeoffs with Convex Optimisation
    Navigating Tradeoffs with Convex Optimisation This is the final article in our recent stat arb series. The previous articles are linked below: A short take on stat arb trading in the real world A general approach for exploiting stat arb alphas Ideas for crypto stat arb features Quantifying and combining crypto alphas A simple and …

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  • Building Intuition for Trading with Convex Optimisation with CVXR
    This article continues our recent stat arb series. The previous articles are linked below: A short take on stat arb trading in the real world A general approach for exploiting stat arb alphas Ideas for crypto stat arb features Quantifying and combining crypto alphas A simple and effective way to manage turnover and not get …

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  • How to Model Features as Expected Returns
    Modeling features as expected returns can be a useful way to develop trading strategies, but it requires some care. The main advantage is that it directly aligns with the objective of predicting and capitalising on future returns. This can make optimisation and implementation more intuitive. It also facilitates direct comparison between features and provides a …

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RW Trading Community

RW Pro is a community of professional and part-time traders with whom we share our trades, research, data, technology, and know-how (as well as a healthy smattering of dad jokes).

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