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QuantFeatures Hyperliquid Live 10-Minute Features (Sample)
10-minute features for Hyperliquid perpetuals, computed as each interval ends: trade activity and flow, trade distributions, top of book, funding rate and open interest. Each update replaces the files with the last 7 UTC days, today included. For every day of 2026, hourly and 10-minute, see QuantFeatures/hyperliquid-features.
| Attribute | Value |
|---|---|
| Instruments | BCH, BNB, BTC, ETH, HYPE, XRP (quoted in USDC; the quote column reads usdt) |
| Interval | 10 minutes |
| Window | The last 7 UTC days, now 2026-11-05 to 2026-11-11 11:10 UTC (last interval start) |
| Update | Every 10 minutes, a few minutes after each interval ends (Kaggle takes longer to process each version) |
Feature version 3.1.0; 64,600 rows across 15 files.
Source
Hyperliquid's public websocket trade, best bid/offer and asset context (funding, open interest, mark price) streams, recorded by QuantFeatures with exchange timestamps. No third-party data vendor is involved. Intervals are cut by exchange time. Each interval is computed from the state saved at the end of the previous one.
The same intervals are computed again from the full day's recording the next day (the 10-minute configs of QuantFeatures/hyperliquid-features), and the two are compared every day. Trade modules match exactly; quote, funding and open-interest modules differ slightly in a few intervals a day. The next-day files are the reference.
Load
import pandas as pd
perp = pd.read_parquet("hf://datasets/QuantFeatures/hyperliquid-live-features/data/10min/TradeFlow/perp.parquet")
Modules (configs)
| Config | Family | Input | Columns | Rows |
|---|---|---|---|---|
TradeFlow |
Trade activity | Exchange trades | 45 | 4,492 |
TradeTick |
Extended trade activity | Exchange trades | 33 | 4,492 |
TradeCovar |
Trade relationships | Exchange trades | 30 | 4,492 |
TradeCovarPlus |
Extended trade relationships | Exchange trades | 54 | 4,492 |
TradeStats |
Trade distribution | Exchange trades | 24 | 4,492 |
TradeGroup |
Trade grouping | Exchange trades | 123 | 4,492 |
TradeGroupPlus |
Grouped trade distribution | Exchange trades | 124 | 4,492 |
TradeLarge |
Trade tails | Exchange trades | 123 | 4,492 |
TradeGradient |
Trade dynamics | Exchange trades | 42 | 4,492 |
TradeImpact |
Trade dynamics | Exchange trades | 42 | 4,492 |
QuoteBasic |
Top of book | Best-bid/offer quotes | 71 | 3,936 |
FundingRate |
Funding | Derivative ticker feed | 33 | 3,936 |
OpenIntBasic |
Open interest | Derivative ticker feed | 33 | 3,936 |
OpenIntPlus |
Extended open interest | Derivative ticker feed | 45 | 3,936 |
OpenIntGradient |
Open-interest dynamics | Derivative ticker feed | 39 | 3,936 |
Full field definitions are in the Feature Catalog.
Record semantics
- Each row is one instrument in one half-open UTC interval
[start_time_utc, end_time_utc). - Rows are sorted by
start_time_utc,exch, thenbase. - An interval's information is complete only at
end_time_utc. Useend_time_utcas the availability time. - NaN means unavailable or not validly computable, never zero. Integer counts are null only in masked intervals.
- Prices are in USDC, volumes in the base asset, and
_bpsfields in basis points.
manifest.json lists row counts, the window and a SHA-256 checksum for every file.
Masked intervals
When our recording is interrupted for 60 seconds or more, every interval that overlaps the interruption has all feature values NaN (counts null); the rows are kept. An interruption is known only after the recorder reconnects, so an interval can be masked in a later update. In the current window:
- 2026-11-05, intervals starting 00:50, 01:00, 01:10, 01:20, 01:30 UTC: recording interrupted 00:57:40 to 01:32:27 UTC
- 2026-11-06, intervals starting 00:50 UTC: recording interrupted 00:50:54 to 00:54:42 UTC
- 2026-11-07, intervals starting 08:10, 08:20 UTC: recording interrupted 08:18:12 to 08:20:17 UTC
License
QuantFeatures Sample Evaluation License (LICENSE.md): you may use this sample internally to sample and review QuantFeatures data products. Redistribution, resale, production use, reconstructing underlying market data, and reverse-engineering the feature methods are not permitted without a separate agreement. No raw exchange or vendor data is included. Not investment advice.
Contact
More instruments, other intervals, or delivery to your own storage: QuantFeatures@gmail.com
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