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HyperBasis Data Coverage

A complete and honest inventory of what HyperBasis collects, how deep each dataset goes, and — explicitly — what does not exist.

1. Coverage at a glance

DatasetInstrumentsDepthCadence
Deviation (Hyperliquid vs TradFi)98 RWA instruments90 days at 5-minute granularity (tradable universe >95% covered)90-second live cycle
Minute-resolution deviation58 assets~18 days (growing daily)aligned per minute
TradFi 1-minute reference~90 assetsup to 2 years (top assets full)1-minute bars
Market snapshots (mark price)full Hyperliquid RWA universerolling ~3 weeks10-second WebSocket snapshots
Funding & open interestfull universemulti-month snapshots, 365-day backfill in progress10-minute snapshots
Capacity / depthfull universerollinglive
Whale positions282-address poolrolling30-minute scan
Liquidation eventsfull universerollingreal-time

2. The deviation dataset in detail

The flagship dataset records, for every Hyperliquid RWA perpetual, the percentage difference between the Hyperliquid mark price and the TradFi reference price. As of the latest collection the dataset holds more than 2.5 million 90-day-window rows, and the tradable universe averages above 95% coverage against the 90-day, 5-minute standard. The coverage metric is published live on the HyperBasis homepage.

3. Honest gaps

4. How coverage is measured

HyperBasis runs a completeness audit against a 90-day window of 5-minute buckets (25,920 expected points per asset). An asset below 95% coverage is flagged INCOMPLETE in the terminal and its leaderboard confidence is reduced, rather than hidden. The audit re-runs continuously and the numbers on this page are regenerated live.

5. Data quality flags

Honest-limitations policy. HyperBasis labels every data gap instead of hiding it. Where a source does not exist (e.g., zero-volume Hyperliquid instruments that never traded), the product shows N/A rather than fabricated values.