Crypto Market Structure & Sentiment
The breadth, crowding and sentiment of the crypto market in one multi-source panel: open-interest dominance (BTC vs ETH vs ALTS vs the whole market) and volume concentration (top-1 / top-5 share, the Herfindahl HHI, active-coin count) from Hyperliquid, PLUS the daily Fear & Greed sentiment index from Alternative.me - daily. The market-regime view combining on-chain structure with sentiment.
- Source
- derived
- Licence
- Redistributable open data
- Updates
- Daily
- Data through
- 2026-08-01
- 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
- OI dominance (BTC/ETH/ALTS/MARKET) + volume concentration (top-1/top-5 share, HHI, active coins)
- + daily Fear & Greed sentiment index (0-100) - the market-regime lens
- Daily; multi-source (Hyperliquid on-chain + Alternative.me sentiment)
- Aggregate market data - no wallets, no CEX
- Sources: Hyperliquid on-chain data (derived) + Crypto Fear & Greed by Alternative.me
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| zone | str | MARKET / BTC / ETH / ALTS | 100.0% | 4 |
| ts | timestamp (UTC) | Day | 100.0% | 3,101 |
| metric | str | oi_dominance_pct / total_oi_notional_usd / top1_volume_share_pct / top5_volume_share_pct / volume_hhi / active_coins / fear_greed_index | 100.0% | 7 |
| value | float | Metric value | 100.0% | 8,138 |
| unit | str | unit | 100.0% | 2 |
| 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-market-structure_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
Coverage: 4 zones
ALTS · BTC · ETH · MARKET
Related datasets
Crypto Fear & Greed Index
The daily crypto-market sentiment gauge (0 = extreme fear, 100 = extreme greed), 2018→present, from Alternative.me. Also folded into the Crypto Market Structure & Sentiment panel.
Crypto On
Daily on-chain fundamentals for Bitcoin AND Ethereum in one clean panel - computed directly from the public-domain blockchains (via Google BigQuery public datasets, not a restrictive wrapper API). BTC: transaction count, block count, block size, fees, on-chain volume, average transaction value, outputs created / inputs spent, and ACTIVE ADDRESSES. ETH: transaction count, gas used, average gas price (gwei), ETH transferred, active addresses, and ETH burned (EIP-1559). Active-address counts and on-chain throughput are the metrics analytics vendors (Glassnode, Coin Metrics, DefiLlama, Blockchain.com) sell behind paywalls and forbid you to resell - but the ledger itself is public-domain data, so these derived aggregates are freely redistributable. That licence gap is the moat: the clean, resellable on-chain-activity layer.
Hyperliquid Basis & Carry
The delta-neutral carry signal for every Hyperliquid perp, hourly: the perp basis (mark vs oracle dislocation, bps), the annualised funding rate, and the perp premium - the three numbers a cash-and-carry or delta-neutral yield desk actually trades. Reconstructed from the raw asset-context archive, 2023-05 → present, including the long tail of small-cap perps most basis feeds omit. Pure on-chain DEX data, no CEX. One row per coin × hour × metric.