⁦SuperQuant feature tutorial · fixed teaching example⁩

Trader scorecards & follows

Inspect a trader’s supplied history before choosing to monitor them.

Before you begin: Following changes monitoring preferences. A score has only its documented meaning.

⁦How to use it⁩

  1. Verify your linked account, then open the bot’s supported trader scorecard.
  2. Inspect sample dates, observed exposure and the score’s explanation.
  3. Check missing history and possible survivorship or selection limits.
  4. Confirm a follow only deliberately, then locate its unfollow control.

⁦Worked example and expected outcome⁩

Teaching case: a high historical score has a short observation window.

Trader scorecards & follows: worked example and outcomeTeaching case: a high historical score has a short observation window.. Does the score imply a calibrated probability of winning the next trade?. A bounded monitoring choice with its historical limits understood.Worked exampleTeaching case: a high historical score has ashort observation window.Check your understandingDoes the score imply a calibrated probability ofwinning the next trade?Expected outcomeA bounded monitoring choice with its historicallimits understood.

⁦This is a fixed teaching example, not a current quote, personal account result or trade recommendation.⁩

⁦Check your understanding⁩

Does the score imply a calibrated probability of winning the next trade?

⁦If it does not work⁩

If the score’s method or sample is missing, defer the follow and inspect other evidence.

⁦Try it in SuperQuant⁩

⁦Sign in or create an account to open this lesson in the Academy, then use its safe in-app handoff when the feature is available to your workspace.⁩

⁦Sign in and continue this tutorial⁩