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ℹ️About

Real time intelligence for Hyperliquid, built from scratch.

HyperTracker turns raw Hyperliquid blockchain activity into clear, decision ready analytics. We track wallet performance, perp positions, and trader behavior at scale, then package it into cohort views and wallet level breakdowns you can act on quickly.

Everything is derived from public data. HyperTracker never requests private keys, never places trades, and never interacts with your funds. It is a read only analytics layer designed to help you understand positioning, conviction, and risk across the ecosystem.

What is HyperTracker?

HyperTracker reads the Hyperliquid blockchain through a dedicated read-only node and converts that data into live wallet analytics. Instead of only showing raw transactions, it focuses on the things traders care about most: current perp positions, top performers, all time perp PnL, and how that behavior shifts across different wallet and segments.

You can explore the market from two angles:

  • Wallet level views for precise tracking of a addresses, updated continuously.

  • Cohort level views that summarize thousands of wallets into a single signal, so you can spot sentiment shifts and crowded positioning and biases faster.

The goal is simple: make on-chain perp activity understandable at a glance, while still letting you drill down into the exact wallets and positions driving the numbers.

How do we collect our data?

Our data comes directly from a dedicated node connected to the Hyperliquid blockchain. The node retrieves comprehensive snapshots of wallet perp balances and positions roughly every 5 to 8 minutes. Because we process data across more than 1,616,709 wallets, a full refresh takes time, and the dashboard can be briefly in progress while updates complete.

In parallel, wallet specific data is streamed in real time via websockets. This keeps individual wallet pages current even while larger cohort aggregates are being refreshed.

We are continuously optimizing the pipeline to reduce refresh intervals and improve consistency during refresh windows, while keeping the system strictly read only and based on public information.

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