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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

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