Hyperliquid Instrument Master
Every coin that has traded on Hyperliquid's on-chain perpetual DEX in one clean table: first/last seen, listing date, listing age (days observed) and active/delisted status - scanned across the full daily asset-context archive (2023-05 → 2026-06). The survivorship-bias-free universe table: any coin whose snapshots stop before the archive end is flagged delisted rather than silently dropped, so the listing history stays complete. The reference table that joins the funding/OI/price feed by coin.
- Source
- Hyperliquid
- Licence
- Redistributable open data
- 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
- One row per coin listed on Hyperliquid perps - the complete observed universe
- First/last seen, listing date, listing age (days observed), active vs delisted status
- Survivorship-bias-free by construction: a coin that drops out is flagged delisted, not dropped
- Joins the Hyperliquid funding/OI/price feed by coin
- Aggregate listing facts only - no per-wallet or personal data
- Source: Hyperliquid public asset-context data (on-chain perpetual DEX)
Schema
| Column | Type | Description | Filled | Distinct |
|---|---|---|---|---|
| coin | str | Coin / perp ticker (primary key) | 100.0% | 230 |
| first_seen | str | First snapshot date the coin appears (YYYY-MM-DD) | 100.0% | 168 |
| last_seen | str | Last snapshot date the coin appears (YYYY-MM-DD) | 100.0% | 1 |
| listing_ts | str | Listing date (= first_seen) (YYYY-MM-DD) | 100.0% | 168 |
| delisting_ts | str | Delisting date (= last_seen if delisted, else null) | 0.0% | 0 |
| status | str | active or delisted (delisted = last_seen < archive max date) | 100.0% | 1 |
| market_type | str | Market type (perp) | 100.0% | 1 |
| n_days | int | Number of distinct days the coin was observed | 100.0% | 168 |
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: Hyperliquid (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-instrument-master_sample.parquet") df.info() # typed columns, gap-aware, ready to join⬇ Download free Parquet sample or CSV for Excel
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