Free Lesson
How to Run ML for Trading Research with AI Agents
30 min
Oct 28, 2026 11:00 AM
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What you'll learn
Lay out a strategy as a sequence of choices
List each choice from market and data timing to labels, model, portfolio and costs behind a result.
Choose the next experiment from a result
Write down the explanations a result is consistent with, then pick the one change that separates them.
Let an AI agent run the test, then check it
See a research agent run an experiment on ETF data, and what to verify before you trust its result.
Why this topic matters
A machine learning trading strategy is a chain of choices: data and its timing, labels, features, validation, model, portfolio and costs. A backtest reflects all of them at once, so a result rarely says what to change. This lesson shows how to read a result, choose the one change worth testing next, and where an AI research agent can run that test and where its output needs checking.
