Datasets:

GregM
/

hyperliquid-perp-open-data

license: cc-by-4.0
pretty_name: Hyperliquid Perp Open Data
tags:
  - finance
  - crypto
  - defi
  - trading
  - parquet
  - time-series
task_categories:
  - tabular-regression

Hyperliquid Perp Open Data

Free, daily-updated perp-market data intended for quant research, backtesting, and market microstructure analysis.

This repository is initialized for chain-derived Hyperliquid data. The public dataset must only contain records whose provenance is public chain/archive state, not venue REST API resale. The first production feed will publish Hyperliquid funding, trades, and open interest as partitioned Parquet.

Status

Initialized. Data publication starts after the Hetzner chain-derived hyperliquid_chain sink is live.

Planned Layout

hyperliquid_chain/
  funding/date=YYYY-MM-DD/part-0000.parquet
  trades/date=YYYY-MM-DD/part-0000.parquet
  open_interest/date=YYYY-MM-DD/part-0000.parquet
_schema.json
_manifest.json

Quickstart

import pandas as pd

repo = "GregM/hyperliquid-perp-open-data"
url = f"https://huggingface.co/datasets/{repo}/resolve/main/hyperliquid_chain/funding/date=YYYY-MM-DD/part-0000.parquet"
funding = pd.read_parquet(url)
print(funding.head())

Provenance

Eligible public rows use one of these source_kind values:

on_chain_event
chain_rpc
hypercore_s3

API-sourced internal research rows are intentionally excluded from this public dataset.