Hyperliquid Perp Sector Indices
Crypto quants trade sectors, not single coins. This rolls Hyperliquid's 230-coin daily market summary into five tradable sector baskets - Layer-1s, AI, memecoins, DeFi and Layer-2s. Per sector per day: the open-interest-weighted funding rate (annualised %), total open interest (USD), total 24h volume (USD) and the count of active coins. The sector-rotation and basket-carry view you'd otherwise assemble by hand from 230 series. Derived from the daily summary; on-chain DEX only, no wallets.
- Source
- derived
- Licence
- Redistributable open data
- Updates
- Daily
- Data through
- 2026-06-29
- Quality
- QC clean · 0 failures
- Format
- Apache Parquet + dictionary
Safe to train on
Built only from a named, redistributable official source under a documented open licence - not scraped web data. No copyright grey zone, no personal data. Ships machine-readable Croissant metadata (ML Commons - loads in Hugging Face / Kaggle / Google), an AI training-licence manifest documenting source, licence and provenance for your model's data governance, and a machine-readable data dictionary (drop it into an agent / RAG prompt so the model knows every column) - all inspectable before you buy.
What's included
- 5 sector baskets - L1, AI, MEME, DEFI, L2 - from the coins actually listed on Hyperliquid
- Per sector × day: OI-weighted funding rate, total OI notional (USD), 24h volume (USD), active coins
- The sector-rotation & basket-carry lens over the 230-coin long tail, daily 2023-05 → present
- On-chain perpetual DEX only (NO centralised exchange); aggregate market data, no wallets
- Source: Hyperliquid public asset-context data - derived, cleaned redistribution
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | Sector basket (L1 / AI / MEME / DEFI / L2) | 100.0% | 5 |
| ts | timestamp (UTC) | Day | 100.0% | 1,137 |
| metric | str | sector_funding_apr_pct / sector_oi_notional_usd / sector_volume_usd / sector_active_coins | 100.0% | 4 |
| value | float | Value. Units: funding=annualised %, oi/volume=USD, active_coins=count | 100.0% | 15,356 |
| unit | str | mixed - see metric | 100.0% | 1 |
| res_min | int | Native resolution (daily = 1440) | 100.0% | 1 |
Sample & preview
Every purchase ships as Apache Parquet with a data dictionary and the full QC report. A free sample (first rows + schema) is downloadable here - confirm fit before you buy. Source: derived (redistributable open data; attribution passes through - see our Licence).
Don't trust screenshots - drop the sample into your notebook right now.
import pandas as pd df = pd.read_parquet("hyperliquid-sector-indices_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 5 zones
AI · DEFI · L1 · L2 · MEME
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