Perpetuals data

Trades, funding rates, open interest, liquidations and order books across Hyperliquid, dYdX, GMX, Jupiter and Aster. Normalized so venues compare, in SQL, by API or in your warehouse.

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The problem we solve: every perps venue counts differently

Funding settles on different schedules, contract sizes use different units, and liquidations sit in different event logs. Comparing two venues means reconciling all of it first.

Different units per venue

Contract sizes and prices are quoted differently, so raw numbers do not compare.

Funding on different schedules

Hyperliquid settles funding hourly. Other venues use their own intervals.

Liquidations buried in event logs

Forced closes sit in raw event streams, not in a clean table.

Perpetuals data for every major venue

Coverage

Every major perps venue, one schema

Hyperliquid perps, including HIP-3 markets

dYdX, GMX, Jupiter Perpetuals and Aster

Trades, fills, positions and markets per venue

See the schema

Every major perps venue in the same tables, so one query covers them all.

Market structure

Funding, open interest and liquidations

Hourly funding settlements on Hyperliquid

Open interest, volume and mid price per market

Liquidations as their own events

Read our perps research

Leverage, positioning and forced selling, market by market.

Order books

Depth, not just last price

Hyperliquid order book snapshots

OHLCV candles and prices by API

Real-time funding, open interest and liquidation endpoints

See Hyperliquid data

Depth and spread history for execution and market-making research.

Delivery

Where your team already works

SQL in the Allium Explorer

REST API for your applications and models

Delivered into Snowflake, BigQuery or Databricks

See Datashares

Same data in SQL, by API or in your own warehouse.

Perps history you can compare, not reconcile

Without Allium

One pipeline per venue, each in its own units

Hyperliquid, dYdX and GMX each need their own ingestion and unit handling.

Funding and liquidations rebuilt from raw events

Backfilling from event logs is slow, and every rebuild can give a different answer.

Data stuck in scripts and notebooks

Analysts maintain scrapers before anything reaches your own models.

Every major perps venue in one schema.

Hyperliquid, dYdX, GMX, Jupiter and Aster, with each venue's units documented.

Funding, open interest and liquidations over time.

Hourly funding settlements, open interest per market, and liquidations as their own events.

Data in SQL, by API or in your warehouse.

Query it in the Allium Explorer, call the API, or receive it in Snowflake, BigQuery or Databricks.

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FAQ

Which perps venues does Allium cover?

Hyperliquid, including HIP-3 markets, plus dYdX, GMX, Jupiter Perpetuals and Aster.

Can I get Hyperliquid historical data?

Yes. Trades, fills, funding settlements, open interest, liquidations and order book snapshots are decoded and queryable in SQL.

How do I compare funding rates across venues?

Funding is available per venue and market, with each venue's units documented, so you can line rates up before comparing them.

How do I get the data?

Query it in SQL in the Allium Explorer, call it through the API, or have it delivered into Snowflake, BigQuery or Databricks next to your own models.

Start with the data you need