Methodology

Concepts and definitions

Definitions of biases, emotional patterns, decision-making methods and behavioural-finance concepts follow established literature in behavioural economics, cognitive and decision science and performance psychology. We lean on well-documented ideas — Kahneman & Tversky's prospect theory and loss aversion, the System 1 / System 2 distinction, base rates and expected value, deliberate practice and the habit loop. Where a term is used loosely in trading circles, we state the precise meaning we adopt and flag ambiguity.

Frameworks and tools

The techniques we teach — journaling, pre-trade checklists, process-vs-outcome review and routine design — are drawn from decision science and habit research, adapted to trading. The client-side tools implement these as templates and prompts and run entirely in your browser. The emotional self-assessment is an educational reflection aid, not a psychological test or diagnosis; it does not measure a clinical condition and its output is only a prompt for self-review.

Examples

Examples use Indian-market context — NSE instruments such as Nifty and Bank Nifty, weekly expiry, F&O leverage and INR amounts — with round illustrative figures for clarity. They are teaching scenarios that show how a bias or emotion plays out in a real decision, not live data or recommendations.

Limitations

Behavioural findings describe tendencies across many people, not certainties about any one trader on any one day, and effect sizes vary by context. Improving your process and self-awareness can raise consistency and reduce avoidable mistakes, but nothing here guarantees a profitable outcome, and none of it is a substitute for professional psychological or medical care. See our Sources.

Last updated 12 July 2026.