Learn
Rigorous trading research,
in the age of AI agents
A disciplined process for building ML trading strategies, from the first question to a costed, defensible backtest, and how to run it with AI agents in the loop.
Coming up
Start here
Half-day workshop · Maven
ML for Trading in the Age of AI Agents
For anyone new to systematic trading who wants the whole picture first, whichever direction they go afterwards.
One pass over the three things the rest of the catalogue goes deep on: how coding agents change the way research gets written, what an agent has to be engineered to do to be trusted with it, and the machine-learning-for-trading workflow itself, from a question to a costed backtest. Hands-on throughout, with the notebooks worked through rather than shown.
The two courses
Live cohort · Maven
ML for Trading: From Research to Production
For people already close to the markets who want a repeatable research process, whatever your machine-learning background.
Self-paced · ml4trading.io
ML for Trading: Foundations
New to systematic, ML-driven trading? Foundations builds the groundwork that Research to Production assumes, one strategy end to end at your own pace.
Specialised workshops
Half-day workshop · Maven
Loop Engineering: Reliable Work From Coding Agents
For engineers who want reliable, verifiable work from coding agents in their day-to-day development.
One-day workshop · Maven
Engineering a Multi-Agent Forecasting System
For people building agentic systems in finance who want the architecture, failure modes, and evaluation discipline in one focused Saturday.