Hyperliquid Market Data — OHLCV, Funding Rates & Positioning (Tessera)

Rank markets by how far their funding has diverged from a benchmark (default ETH) over a trailing window. Pick bar (1d, the default, or 1h on a Pro key) to read completed days or completed hours. metric=rate compares mean funding over the window; metric=cum_funding_spread compares how far a market's cumulative funding level travelled inside the window (its high minus its low, so never negative) â€

Every field the query tools accept, each with its meaning, unit, whether it can be missing, and which bars (1d, 1h) it exists on. Open — no key needed. Call this before query_cross_section, screen_universe or query_series. Percentile, z-score and the top_pct/bottom_pct conditions rank within the markets your plan can see, so they need a wide slice.

What is happening right now: mark price, current hourly funding, open interest (one-sided — counted once per contract, half of the both-sides figure Hyperliquid's own UI shows, so it is directly comparable with the oi_usd column the bar tools return), 24-hour traded notional and premium for up to 25 markets, taken straight from the venue's public API and stamped with the moment it was read. Use

Screen the whole market on ONE completed interval with several conditions ANDed together. Pick bar (1d, the default, or 1h on a Pro key; a free key is screened at 1d). Conditions use op >, <, >=, <=, between, top_pct or bottom_pct; top_pct/bottom_pct are deciles of your eligible markets, and the liquidity floor is applied before the deciles so they are measured over the population you are choosing

The full dictionary for ONE downloadable dataset: description plus every column's type, nullability and plain-English meaning. Pass a name from list_datasets. Open — no key needed. For the fields the query tools accept, use list_fields.

The coverage picture: the last complete interval, how many markets are in the universe for a scope, how much history sits behind them, and how densely it is populated. Pick bar (1d, the default, or 1h on a Pro key) to describe completed days or completed hours. The range counts cover the last 7 days at bar: 1h (pass days, 1..30, to widen them) and the whole published range at bar: 1d. A compact SU

The series for one market or a few (max 10): one row per market per interval over a trailing window, oldest first. Pick bar (1d, the default, for one row per day, or 1h on a Pro key for one row per completed hour). Answers 'is this move backed by real flow' and 'how has positioning built up'. ending_day defaults to the last complete interval. The whole answer is capped, so markets times window_day

List the downloadable datasets: one-line summary, the plan required, and the month range available. Open — no key needed. Then use describe_dataset for one dataset's columns, or list_fields for the fields the query tools accept.

Rank the whole market on ONE completed interval: pick bar (1d, the default, or 1h on a Pro key), columns, an order_by field and top_n. Answers 'top markets by funding / open interest / returns on the latest day or hour' and 'what percentile is BTC on open interest'. day defaults to the last complete interval; scope defaults to crypto (HIP-3 markets track an underlying that closes, so their flow is