Datasets:

rogerdehe
/

klines-bybit

license: mit
task_categories:
  - time-series-forecasting
language:
  - en
tags:
  - crypto
  - cryptocurrency
  - finance
  - ohlcv
  - klines
  - bybit
  - futures
  - perpetual
  - trading
pretty_name: Bybit USDT Perpetual OHLCV Klines
size_categories:
  - 1B<n<10B

Bybit USDT Perpetual OHLCV Klines

Historical OHLCV candlestick (kline) data for Bybit USDT-margined perpetual futures, stored as zstd-compressed Parquet. Includes delisted symbols, so it is usable for point-in-time / survivorship-bias-free backtests.

⚠️ Under construction. This dataset is being actively built. Coarser timeframes (15m · 1h · 4h · 1d) and 5m/3m are being uploaded first; 1m is still downloading and will be added. Pair and timeframe coverage will grow. A per-file COVERAGE.md will be published once the build settles.

Coverage (in progress)

	futures (USDT perp)
Pairs	~617 (incl. delisted)
Timeframes	15m · 1h · 4h · 1d · 5m · 3m present; 1m coming
History	from each contract's listing (mostly 2020–2021 onward) → present
Extras	`mark` price and `funding_rate` series for most pairs

File layout

futures/{timeframe}/{PAIR}.parquet

Examples:

futures/1d/BTC_USDT_USDT.parquet
futures/1h/BTC_USDT_USDT-mark.parquet (mark price)
futures/8h/BTC_USDT_USDT-funding_rate.parquet (funding rate)

Pairs are BASE_USDT_USDT (USDT-margined perpetual). Each OHLCV Parquet has columns date (UTC candle open), open, high, low, close, volume.

Usage

from huggingface_hub import hf_hub_download
import pandas as pd

path = hf_hub_download("rogerdehe/klines-bybit",
                       "futures/1d/BTC_USDT_USDT.parquet", repo_type="dataset")
df = pd.read_parquet(path)

Notes

Timestamps are UTC. Coverage varies per pair (newer listings have shorter history).
The HF dataset viewer is disabled (custom per-pair layout); load files directly.
Data provided as-is for research; no warranty of accuracy or completeness.