Datasets:

GregM
/

perp-data

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

Perp Data

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

This repository is initialized for chain-derived perp DEX data, starting with Hyperliquid. 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, under an explicit hyperliquid_chain/ provider partition.

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/perp-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.