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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.
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QuantFeatures Bybit Hourly Features (Sample)
Research-ready, hourly features derived from licensed historical Bybit market data: trade activity and flow, trade distributions, top of book, funding, open interest, and liquidations. This sample lets you evaluate coverage, schema, and data quality before licensing the full product.
| Attribute | Value |
|---|---|
| Venue | Bybit |
| Instruments | BCH, BNB, BTC, ETH, HYPE, XRP (quoted in USDT) |
| Markets (splits) | perp (perpetual) |
| Sample days | First UTC day of each month, 2020-06-01 through 2026-10-01 |
| Interval | 1 hour, 24 intervals per sample day |
| Feature version | 3.0.0 |
| Rows | 150,960 across 17 files |
Some instruments start later because the contract was not yet listed: BCH perp from 2021-01-01; BNB perp from 2021-07-01; ETH perp from 2020-11-01; HYPE perp from 2025-01-01; XRP perp from 2021-06-01.
Load
from datasets import load_dataset
perp = load_dataset("QuantFeatures/bybit-hourly-features", "TradeFlow", split="perp")
Or with pandas:
import pandas as pd
df = pd.read_parquet("hf://datasets/QuantFeatures/bybit-hourly-features/data/TradeFlow/perp.parquet")
Modules (configs)
| Config | Family | Input | Splits | Columns | Rows |
|---|---|---|---|---|---|
TradeFlow |
Trade activity | Exchange trades | perp | 45 | 8,880 |
TradeTick |
Extended trade activity | Exchange trades | perp | 33 | 8,880 |
TradeCovar |
Trade relationships | Exchange trades | perp | 30 | 8,880 |
TradeCovarPlus |
Extended trade relationships | Exchange trades | perp | 54 | 8,880 |
TradeStats |
Trade distribution | Exchange trades | perp | 24 | 8,880 |
TradeGroup |
Trade grouping | Exchange trades | perp | 123 | 8,880 |
TradeGroupPlus |
Grouped trade distribution | Exchange trades | perp | 124 | 8,880 |
TradeLarge |
Trade tails | Exchange trades | perp | 123 | 8,880 |
TradeGradient |
Trade dynamics | Exchange trades | perp | 42 | 8,880 |
TradeImpact |
Trade dynamics | Exchange trades | perp | 42 | 8,880 |
QuoteBasic |
Top of book | Best-bid/offer quotes | perp | 71 | 8,880 |
FundingRate |
Funding | Derivative ticker feed | perp | 33 | 8,880 |
LiqFlow |
Liquidations | Liquidation feed | perp | 15 | 8,880 |
LiqStats |
Extended liquidations | Liquidation feed | perp | 77 | 8,880 |
OpenIntBasic |
Open interest | Derivative ticker feed | perp | 33 | 8,880 |
OpenIntPlus |
Extended open interest | Derivative ticker feed | perp | 45 | 8,880 |
OpenIntGradient |
Open-interest dynamics | Derivative ticker feed | perp | 39 | 8,880 |
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.
- Sample days are not contiguous; stateful and long-lookback features can be less reliable early in each sample day.
- Prices are in the quote currency (USDT), 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.
Intervals with limited or no data
Exchanges and data recorders have outages and maintenance windows. In these sample intervals the source feed had no records:
LiqFlowandLiqStats, 2020-06-01 to 2020-10-01 and 2020-12-01: no liquidation records exist for these days, so zero counts there mean no data, not no liquidations.
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
Continuous history and real-time features for Hyperliquid and Binance are available on request:
- Delivered datasets: we source the tick data and deliver features at intervals from 10 minutes to 3 hours.
- Your own tick data: if you license Tardis data, we compute features at any interval from 30 seconds to 1 hour.
Real-time features run on your own infrastructure with your own data feeds.
Contact
Full history, other intervals or instruments, and commercial licensing: QuantFeatures@gmail.com
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