Hyperliquid Volume Concentration
How broad is trading on Hyperliquid on any given day? The Herfindahl index (HHI, 0-10000) of 24h notional-volume shares across all coins, the top-1 and top-5 coin volume shares, and the count of coins with real volume. A rising HHI or top-share means flow is crowding into a few names (a single-memecoin frenzy); a falling one means broad participation. Derived from the daily market summary; on-chain DEX data only.
- 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
- volume_hhi - Herfindahl index (0-10000) of 24h volume shares across coins, daily
- top1_volume_share_pct / top5_volume_share_pct - how much the biggest names dominate flow
- active_coins - count of coins with non-zero 24h volume that day
- Market breadth vs single-name frenzy, in one series; 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 | MARKET (whole-market aggregate) | 100.0% | 1 |
| ts | timestamp (UTC) | Day | 100.0% | 1,137 |
| metric | str | volume_hhi, top1_volume_share_pct, top5_volume_share_pct or active_coins | 100.0% | 4 |
| value | float | Metric value (HHI 0-10000; shares in %; active_coins a count) | 100.0% | 3,549 |
| 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-volume-concentration_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 1 zones
MARKET
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