I will teach you how to build solid trading algorithms supported by relevant data

This Masterclass will teach you how to build solid, data-driven trading algorithms using a structured and practical approach.

You will learn how to turn a trading idea into a clearly defined strategy with objective entry and exit rules, risk management, position sizing, filters, and market conditions. We will also cover how to use relevant data to test whether a strategy has a genuine edge.

A key focus will be on robustness. You will learn how to avoid common mistakes such as overfitting, curve fitting, look-ahead bias, and excessive optimisation, while understanding important metrics such as drawdown, expectancy, win rate, profit factor, and trade distribution.

We will also look at how to combine multiple algorithms, reduce correlation between strategies, and build a more balanced trading system portfolio.

The goal of this Masterclass is not to give you one perfect strategy, but to teach you a repeatable framework for researching, testing, improving, and evaluating trading algorithms with confidence.