Expert Advisor Optimisation

Learn to improve an EA with walk-forward logic, robustness checks and Monte Carlo stress tests.

Expert⏱ 3 h 204 lessons

Path summary

modules

lessons

3 h 20

estimated duration

This module explains how to optimise an Expert Advisor without confusing curve-fitting with robustness. It covers walk-forward validation, sample design, Monte Carlo stress scenarios and practical audit routines for mean-reversion or trend-following robots.

Educational content only: nothing in this Academy is a recommendation to buy or sell and no return is promised. Exercises should remain in a demo environment until the plan, risk and limits have been validated.

Course outline

Module 1 · Lessons

4 lessons

What walk-forward validation checks40 min Build a walk-forward protocol55 min Monte Carlo: scenarios and limits45 min Workshop: audit a mean-reversion EA1 h

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