An Open Book: Level 4 Order Book Data from the Hyperliquid Exchange

13 Pages Posted: 30 Mar 2026 Last revised: 25 Mar 2026

See all articles by Jakob Albers

Jakob Albers

University of Oxford - Department of Statistics

Mihai Cucuringu

University of California, Los Angeles (UCLA) - Department of Mathematics; University of Oxford - Oxford-Man Institute of Quantitative Finance; University of Oxford - Department of Statistics

Sam Howison

University of Oxford - Mathematical Institute

Alexander Y. Shestopaloff

University of Guelph

Date Written: March 24, 2026

Abstract

This paper presents a high-frequency cryptocurrency market dataset obtained by operating a non-validating blockchain node on Hyperliquid, a limit order book-based decentralized exchange that is now one of the most liquid cryptocurrency exchanges, handling billions of USD in daily turnover. Unlike conventional Level 3 data sources such as LOBSTER, our data captures the complete order placement and cancellation history of all traders—identified pseudonymously through wallet addresses—including rejected orders and failed cancellation attempts that typically do not appear in conventional feeds, counterparty identities on both sides of each trade, and inventory positions after every transaction, all with nanosecond-precision timestamps. We make a portion of this dataset publicly available on Zenodo (with more available upon request), and discuss potential applications to market microstructure research.

Keywords: market microstructure, high-frequency trading, order flow, limit order book, rejected orders, Hyperliquid, cryptocurrency, perpetual futures

JEL Classification: C81, D47, G10, G14

Suggested Citation

Albers, Jakob and Cucuringu, Mihai and Howison, Sam and Shestopaloff, Alexander Y., An Open Book: Level 4 Order Book Data from the Hyperliquid Exchange (March 24, 2026). Available at SSRN: https://ssrn.com/abstract=6465720 or http://dx.doi.org/10.2139/ssrn.6465720

Jakob Albers (Contact Author)

University of Oxford - Department of Statistics ( email )

24-29 St Giles
Oxford
United Kingdom

Mihai Cucuringu

University of California, Los Angeles (UCLA) - Department of Mathematics ( email )

UCLA Mathematical Sciences Building
520 Portola Plaza
Los Angeles, CA 90095
United States

HOME PAGE: http://www.math.ucla.edu/~mihai/

University of Oxford - Oxford-Man Institute of Quantitative Finance

Eagle House
Walton Well Road
Oxford, Oxfordshire OX2 6ED
United Kingdom

University of Oxford - Department of Statistics

24-29 St Giles
Oxford
United Kingdom

Sam Howison

University of Oxford - Mathematical Institute ( email )

Alexander Y. Shestopaloff

University of Guelph ( email )

Guelph, Ontario
Canada

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