EVIDENCE · 4 CHAPTERS
Expert
Design controlled tests, recognise bias, compare regimes and build a disciplined evidence-led research process.
What you will learn
- CHAPTER 01
Hypotheses, Bias & Sample Design
The learner can turn a chart observation into a clear, falsifiable research question, define the exact population and sample being studied, recognise selection, survivorship and look-ahead bias, avoid data leakage, choose fair outcome definitions, and design a review process that controls bias before testing a method.
Read chapter → - CHAPTER 02
Controlled Strategy Testing
The learner can convert an idea into a precise rule set, choose a fair baseline or control group, isolate one variable at a time, account for sample size and statistical noise, score performance beyond win rate, incorporate realistic transaction assumptions, document tests so they can be reproduced, and distinguish a meaningful result from an artefact of repeated testing.
Read chapter → - CHAPTER 03
Robustness & Regime Comparison
The learner can test whether a strategy’s apparent edge survives out-of-sample and walk-forward checks, assess sensitivity to parameter changes, compare performance across trending, ranging and volatility regimes, use timeframe comparison carefully, recognise overfitting, and document results with appropriate uncertainty rather than mistaking a fitted curve for durable evidence.
Read chapter → - CHAPTER 04
Research Synthesis & Personal Evidence
The learner can compare studies with different designs, weigh evidence without treating all sources as equal, separate statistical from practical usefulness, interpret uncertainty honestly, reject weak ideas without regret, document findings so they can be revisited, and build a personal evidence-led review process that improves over time without promising certainty.
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