Stefan Jansen
Free Lesson

Machine learning for trading: choosing the next experiment

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.

Separate a result from what it means

Write down every explanation a score is consistent with before you decide what to change next.

Build the next experiment so its answer counts

Change one choice, hold the rest against a baseline fixed in advance, and count the variants tried.

Why this topic matters

A machine learning trading strategy is a chain of choices: the market, the data and its timing, the labels, the features, the validation protocol, the model, the portfolio and the costs. A backtest reflects all of them at once, so a result rarely says on its own what to change. This lesson works through that chain and shows how to go from one result to the next experiment worth running.

You'll learn from

Stefan Jansen

Stefan Jansen

Builds production ML and agent systems, then teaches the operating method.

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