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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.
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