Datasets:
Request access to the QuantFeatures sample
This repository is publicly accessible, but you have to accept the conditions to access its files and content.
This sample is provided for evaluating QuantFeatures data products under the QuantFeatures Sample Evaluation License (see LICENSE.md). Redistribution, resale, and production or live-trading use are not permitted without a separate agreement.
Log in or Sign Up to review the conditions and access this dataset content.
QuantFeatures Hyperliquid Hourly Features, Continuous (Sample)
Research-ready, hourly features derived from historical Hyperliquid market data: trade activity and flow, trade distributions, funding, and liquidations. This sample lets you evaluate coverage, schema, and data quality before licensing the full product.
| Attribute | Value |
|---|---|
| Venue | Hyperliquid |
| Instruments | BCH, BNB, BTC, ETH, HYPE, XRP (quoted in USDC) |
| Markets (splits) | perp (perpetual) |
| Sample days | Every UTC day, 2026-01-01 through 2026-11-02 |
| Interval | 1 hour, 24 intervals per sample day |
| Feature version | 3.1.0 |
| Rows | 572,832 across 13 files |
Source
Built from Hyperliquid's own archived tick data: the node trade fills it publishes for every block, one row per trade, taken from the taker's fill. Funding rates paid (FundingPaid) are the hourly settlements reported by Hyperliquid's public API. No third-party data vendor is involved.
Load
from datasets import load_dataset
perp = load_dataset("QuantFeatures/hyperliquid-hourly-features-continuous", "TradeFlow", split="perp")
Or with pandas:
import pandas as pd
df = pd.read_parquet("hf://datasets/QuantFeatures/hyperliquid-hourly-features-continuous/data/TradeFlow/perp.parquet")
Modules (configs)
| Config | Family | Input | Splits | Columns | Rows |
|---|---|---|---|---|---|
TradeFlow |
Trade activity | Exchange trades | perp | 45 | 44,064 |
TradeTick |
Extended trade activity | Exchange trades | perp | 33 | 44,064 |
TradeCovar |
Trade relationships | Exchange trades | perp | 30 | 44,064 |
TradeCovarPlus |
Extended trade relationships | Exchange trades | perp | 54 | 44,064 |
TradeStats |
Trade distribution | Exchange trades | perp | 24 | 44,064 |
TradeGroup |
Trade grouping | Exchange trades | perp | 123 | 44,064 |
TradeGroupPlus |
Grouped trade distribution | Exchange trades | perp | 124 | 44,064 |
TradeLarge |
Trade tails | Exchange trades | perp | 123 | 44,064 |
TradeGradient |
Trade dynamics | Exchange trades | perp | 42 | 44,064 |
TradeImpact |
Trade dynamics | Exchange trades | perp | 42 | 44,064 |
FundingPaid |
Funding | Funding settlements (exchange API) | perp | 9 | 44,064 |
LiqFlow |
Liquidations | Liquidation feed | perp | 15 | 44,064 |
LiqStats |
Extended liquidations | Liquidation feed | perp | 77 | 44,064 |
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). exch,type,base, andquoteidentify the instrument; rows are sorted bystart_time_utc, thenbase.- An interval's information is complete only at
end_time_utc. Useend_time_utcas the availability time to avoid look-ahead bias. - NaN means unavailable or not validly computable, never zero; there are no nulls. Integer counts are always defined. A missing row is not zero activity.
- Days are consecutive: each day's stateful values (previous close, up/down state) carry over from the previous day's last hourly interval.
- Prices are in the quote currency (USDC; the
quotecolumn and path label readusdt), volumes in the base asset, and_bpsfields in basis points.
See the Data specification
and Coverage for details.
manifest.json lists row counts, coverage, and a SHA-256 checksum for every file.
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.
Full data
Full history for all Hyperliquid perpetuals (about 180), other intervals from 10 minutes to 3 hours, and a daily update are available on request.
Contact
Full history, other intervals or instruments, and commercial licensing: QuantFeatures@gmail.com
- Downloads last month
- 182