⁦SuperQuant feature tutorial · fixed teaching example⁩

Research Integrity Loop

Follow one hypothesis through frozen tests, later observations, decisions, practice and review.

Before you begin: A complete-looking checklist is not a performance guarantee. Each stage must point to its own saved evidence.

⁦How to use it⁩

  1. Open Portfolio and locate the Research Integrity Loop.
  2. Choose the next missing stage for the selected hypothesis.
  3. Follow its link to the exact Lab, strategy, Diary or paper-practice evidence.
  4. Return to the loop and inspect whether the new receipt matches the same hypothesis and version.

⁦Worked example and expected outcome⁩

Teaching case: a backtest is saved, but no prospective observation or pre-outcome decision is linked yet.

Research Integrity Loop: worked example and outcomeTeaching case: a backtest is saved, but no prospective observation or pre-outcome decision is linked yet.. Does a completed historical test alone establish prospective review?. The remaining evidence gap is visible and the learner can open the next real app step.Worked exampleTeaching case: a backtest is saved, but noprospective observation or pre-outcome decisionis linked yet.Check your understandingDoes a completed historical test alone establishprospective review?Expected outcomeThe remaining evidence gap is visible and thelearner can open the next real app step.

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

⁦Check your understanding⁩

Does a completed historical test alone establish prospective review?

⁦If it does not work⁩

If a stage is unavailable, keep it marked as a gap. Do not create a receipt just to make the loop look complete.

⁦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.⁩

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