---
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

```text
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

```python
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.