Clean Hyperliquid funding & open-interest data, explained

Most "crypto market data" you can buy is scraped from centralised exchanges whose terms forbid redistribution. Hyperliquid is different in a way that matters commercially: it is an on-chain perpetual-futures DEX, and its market context is published to a public archive. That makes it one of the few crypto microstructure sources you can legally clean, redistribute and train on — no exchange ToS to trip over.

The catch is that the archive is *raw*. It is minute-level snapshots, hundreds of coins wide, in tiny fractional units, with the long tail of small-cap perps that tidy vendor feeds quietly drop. Here is what is in it and what each field means.

The asset-context feed

For every listed coin, at high frequency, the feed carries: funding, open interest, mark price, oracle price, mid price, premium, 24h notional volume, and impact bid/ask prices. That is enough to reconstruct most of what a perp trader cares about — carry, positioning, basis and liquidity — without ever touching a centralised exchange.

Funding: the carry signal

On a perpetual, funding is the periodic payment between longs and shorts that tethers the perp to spot. Persistently positive funding means longs are paying to stay long — crowded, and expensive to hold. The raw number is a tiny per-interval fraction; to make it human you annualise it (multiply out to a yearly percentage). Our cleaned feed does this rescaling so funding does not round to zero next to a price column.

Open interest and the squeeze

Open interest — the total value of contracts outstanding — is the positioning gauge. Rising OI into a rising price is fresh money; falling OI into a rising price is short-covering. Extremes in OI plus one-sided funding are the ingredients of a squeeze, which is exactly what our derived Hyperliquid Squeeze / Crowding Index distils into trailing z-scores.

Basis and impact spread: the parts vendors omit

Two fields do quiet, valuable work:

  • Mark vs oracle — the gap between the perp's mark price and the oracle (spot-reference) price is a basis in basis points, a dislocation proxy distinct from funding.
  • Impact bid/ask — Hyperliquid's on-chain quotes for trading a standard notional. The gap between them, over mid, is an effective spread — a genuine liquidity and slippage measure. On the long tail it is the difference between a tradable market and a trap, which is what the Hyperliquid Friction- Adjusted Carry metrics surface.

Why cleaning it is real work

  • The raw files are minute snapshots — hundreds of thousands of rows per day — that need resampling to a manageable, documented grain.
  • 200-plus coins, including ones listed and delisted mid-history, so the panel is ragged and needs gap-aware handling, not forward-fill.
  • Funding and premium are tiny fractions that collapse to zero unless rescaled into readable units before rounding.
  • Absence is not zero: a coin going quiet is a gap, and averaging over it lies.

Our Hyperliquid Funding & Open Interest dataset is the output: the full context feed for every coin, resampled to one tidy long Parquet — funding annualised, prices and OI aligned, the small-cap tail kept rather than dropped. Pure on-chain DEX data, aggregate market context only (no wallets), with the provenance and licence documented so you can build on it — or train on it — without inheriting someone else's terms of service.

Skip the ETL

Stop building parsers. Start at the analysis.

We've already cleaned, documented and QC'd sources like the one in this post into query-ready Parquet - with a free sample on every dataset. Buy a file from €9, or go All-Access for the lot.