TraderTypes / Learning Library
One trader, one exposure sheet, several markets

Accounts in different countries can share the same economic driver. US technology shares, a Hong Kong technology fund and an A-share supplier can all depend on the same demand cycle. Separate experience by market, then combine currency, sector, event exposure and attention demands across accounts. Years in one market do not establish competence in another market’s settlement or products.
Trading example
A mainland trader reviews A-shares by day and US shares at night. A shared technology event moves both portfolios. Two accounts did not diversify the catalyst, and the second session reduced sleep.
Try this in your journal
Create columns for market, product, currency, driver, exit rule, experience and local observation hours. Group shared drivers; write a protected rest window including daylight-saving changes.
Check your understanding
If one event hits all accounts, can you identify the combined exposure? Can every planned observation fit the calendar without double-booking attention?
Verify with the official source
Background sources explain the concepts and market risks; they do not validate our questionnaire or its scores. Examples and exercises here are educational scenarios, not audited trading results.
How this integrated assessment worksOriginal MBTI-inspired questions, not the official MBTI instrument. Descriptive self-report, not a validated psychological diagnosis or investment recommendation.
Continue with the full guides
How the current assessment works
Read the seven trait definitions, missing-data rules, combined interpretations and limits of TT-C2.
Explore the 16 preference profiles
Compare decision patterns and concrete trade-review examples without treating a type as a profitability forecast.
Risk before the order
Work through invalidation, session limits, correlated exposure and the limits of paper trading.
Understand what you trade
Separate stocks, funds, derivatives, FX and crypto by how ownership, execution and potential loss actually work.