⁦SuperQuant feature tutorial · fixed teaching example⁩

Research jobs from chat

Review a research job proposal and trace its final result.

Before you begin: Jobs require linked access, data and supported compute. A queued status is not a successful result.

⁦How to use it⁩

  1. Inspect supported research-job controls in the linked bot’s /help.
  2. Request a bounded test with a known market and explicit rules.
  3. Review the proposed data, costs and job before deliberately approving it.
  4. Inspect succeeded/failed status and open the resulting app evidence, if supplied.

⁦Worked example and expected outcome⁩

Teaching case: a job queues successfully but later fails its data coverage check.

Research jobs from chat: worked example and outcomeTeaching case: a job queues successfully but later fails its data coverage check.. Is the evidence a queued request or an actual completed test?. An accurately labeled job state and a recoverable next step.Worked exampleTeaching case: a job queues successfully butlater fails its data coverage check.Check your understandingIs the evidence a queued request or an actualcompleted test?Expected outcomeAn accurately labeled job state and arecoverable next step.

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

⁦Check your understanding⁩

Is the evidence a queued request or an actual completed test?

⁦If it does not work⁩

Retry or revise only using the reported failure; do not substitute a made-up result.

⁦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