BULLISHBEAR

EXPERT · 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.

15 teaching sectionsExamples and misconceptionsInteractive version available
LESSON 01

Questions come before methods

Understand why a clear question precedes tool choice.

Before testing a chart-reading idea, define the question precisely. A vague claim such as “support works” is not testable. A better question specifies the market, timeframe, condition, rule and outcome being studied. The question determines what evidence would support or challenge the idea.