⁦SuperQuant feature tutorial · fixed teaching example⁩

Whale radar & moves

Read observed top-trader position changes as one research input.

Before you begin: Requires supported Hyperliquid data; a snapshot does not reveal every hedge.

⁦How to use it⁩

  1. Open the asset’s Hyperliquid top traders panel.
  2. Inspect snapshot age, net position, long share and recorded move count.
  3. For individual moves, use the linked bot’s current /help and supplied whale view.
  4. Describe the change and one reason it does not establish the owner’s intent.

⁦Worked example and expected outcome⁩

Teaching case: a large long increase may be part of a hedge.

Whale radar & moves: worked example and outcomeTeaching case: a large long increase may be part of a hedge.. Can you separate observed size from inferred intention?. A dated positioning observation with an explicit uncertainty.Worked exampleTeaching case: a large long increase may be partof a hedge.Check your understandingCan you separate observed size from inferredintention?Expected outcomeA dated positioning observation with an explicituncertainty.

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

⁦Check your understanding⁩

Can you separate observed size from inferred intention?

⁦If it does not work⁩

If no positioning is recorded, read the coverage notice and use the fixed whale example.

⁦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