⁦SuperQuant feature tutorial · fixed teaching example⁩

Proactive Radar signals

Understand why a change in available lenses prompted a review.

Before you begin: Proactive delivery needs configured monitoring and channel access. Baselines and cooldowns affect messages.

⁦How to use it⁩

  1. Inspect followed assets and their lens coverage in Radar.
  2. Review the linked bot’s supported Radar signal preferences.
  3. Enable or change monitoring only deliberately; inspect delivery limits.
  4. On a signal, open the asset and compare the newly supplied lenses and times.

⁦Worked example and expected outcome⁩

Teaching case: two supplied lenses shift from disagreement to agreement.

Proactive Radar signals: worked example and outcomeTeaching case: two supplied lenses shift from disagreement to agreement.. Which lenses changed, and does their agreement establish a win probability?. A fresh evidence review after a specific observed change.Worked exampleTeaching case: two supplied lenses shift fromdisagreement to agreement.Check your understandingWhich lenses changed, and does their agreementestablish a win probability?Expected outcomeA fresh evidence review after a specificobserved change.

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

⁦Check your understanding⁩

Which lenses changed, and does their agreement establish a win probability?

⁦If it does not work⁩

Use coverage notices and current preferences when a feed is quiet; no message is not proof of no change.

⁦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