Search is not available for this dataset
date timestamp[ns, tz=UTC] | open float64 | high float64 | low float64 | close float64 | volume float64 |
|---|---|---|---|---|---|
2025-09-18T07:15:00 | 2.5 | 2.5 | 2.5 | 2.5 | 22,782.7 |
2025-09-18T07:30:00 | 2.5 | 2.5 | 2.254 | 2.3721 | 364,165.9 |
2025-09-18T07:45:00 | 2.3721 | 2.4077 | 2.333 | 2.3825 | 141,187.8 |
2025-09-18T08:00:00 | 2.3825 | 2.5173 | 2.2996 | 2.4558 | 236,802.1 |
2025-09-18T08:15:00 | 2.4558 | 2.599 | 2.4196 | 2.496 | 260,433.9 |
2025-09-18T08:30:00 | 2.496 | 2.5066 | 2.3759 | 2.4229 | 159,007.6 |
2025-09-18T08:45:00 | 2.4229 | 2.4925 | 2.4065 | 2.4504 | 80,023.8 |
2025-09-18T09:00:00 | 2.4504 | 2.5361 | 2.4246 | 2.5181 | 95,694.7 |
2025-09-18T09:15:00 | 2.5181 | 2.5837 | 2.4348 | 2.4575 | 134,176.3 |
2025-09-18T09:30:00 | 2.4575 | 2.4703 | 2.3156 | 2.3643 | 171,120.9 |
2025-09-18T09:45:00 | 2.3643 | 2.5102 | 2.3503 | 2.475 | 85,857.4 |
2025-09-18T10:00:00 | 2.475 | 2.557 | 2.4591 | 2.4747 | 95,112 |
2025-09-18T10:15:00 | 2.4747 | 2.5808 | 2.4644 | 2.4976 | 63,141.3 |
2025-09-18T10:30:00 | 2.4976 | 2.5455 | 2.409 | 2.4656 | 73,360.8 |
2025-09-18T10:45:00 | 2.4656 | 2.5101 | 2.4346 | 2.4918 | 38,910.1 |
2025-09-18T11:00:00 | 2.4918 | 2.5696 | 2.4427 | 2.4625 | 88,019.9 |
2025-09-18T11:15:00 | 2.4625 | 2.476 | 2.4167 | 2.4463 | 57,974.8 |
2025-09-18T11:30:00 | 2.4463 | 2.4714 | 2.3801 | 2.4003 | 65,036.6 |
2025-09-18T11:45:00 | 2.4003 | 2.4264 | 2.319 | 2.3725 | 100,378.6 |
2025-09-18T12:00:00 | 2.3725 | 2.4739 | 2.3607 | 2.4629 | 103,319 |
2025-09-18T12:15:00 | 2.4629 | 2.5351 | 2.4311 | 2.5157 | 104,464.2 |
2025-09-18T12:30:00 | 2.5157 | 2.5311 | 2.4661 | 2.483 | 40,476.6 |
2025-09-18T12:45:00 | 2.483 | 2.5092 | 2.4586 | 2.4867 | 25,135.2 |
2025-09-18T13:00:00 | 2.4867 | 2.5581 | 2.4346 | 2.5267 | 85,785.7 |
2025-09-18T13:15:00 | 2.5267 | 2.7564 | 2.5246 | 2.6086 | 280,371.3 |
2025-09-18T13:30:00 | 2.6086 | 2.6868 | 2.4994 | 2.5374 | 103,046.2 |
2025-09-18T13:45:00 | 2.5374 | 2.6455 | 2.5048 | 2.6246 | 92,827.4 |
2025-09-18T14:00:00 | 2.6246 | 2.6479 | 2.5724 | 2.6344 | 33,735.8 |
2025-09-18T14:15:00 | 2.6344 | 2.68 | 2.6064 | 2.6682 | 49,149 |
2025-09-18T14:30:00 | 2.6682 | 2.7397 | 2.6466 | 2.6797 | 98,889.1 |
2025-09-18T14:45:00 | 2.6797 | 2.7741 | 2.6797 | 2.7281 | 106,601.1 |
2025-09-18T15:00:00 | 2.7281 | 2.7392 | 2.6232 | 2.6396 | 67,214.6 |
2025-09-18T15:15:00 | 2.6396 | 2.6501 | 2.5241 | 2.579 | 104,155.3 |
2025-09-18T15:30:00 | 2.579 | 2.6799 | 2.533 | 2.604 | 60,297.7 |
2025-09-18T15:45:00 | 2.604 | 2.6331 | 2.45 | 2.4863 | 85,357.7 |
2025-09-18T16:00:00 | 2.4863 | 2.5565 | 2.466 | 2.5049 | 48,222.3 |
2025-09-18T16:15:00 | 2.5049 | 2.5628 | 2.488 | 2.5472 | 25,508.5 |
2025-09-18T16:30:00 | 2.5472 | 2.5748 | 2.5015 | 2.522 | 22,381.2 |
2025-09-18T16:45:00 | 2.522 | 2.6144 | 2.522 | 2.5976 | 62,397 |
2025-09-18T17:00:00 | 2.5976 | 2.636 | 2.5423 | 2.6051 | 37,797.6 |
2025-09-18T17:15:00 | 2.6051 | 2.6616 | 2.5831 | 2.64 | 31,231.8 |
2025-09-18T17:30:00 | 2.64 | 2.6659 | 2.6072 | 2.6536 | 16,587.2 |
2025-09-18T17:45:00 | 2.6536 | 2.6656 | 2.6106 | 2.6243 | 7,752.4 |
2025-09-18T18:00:00 | 2.6243 | 2.6608 | 2.6067 | 2.6511 | 23,771.4 |
2025-09-18T18:15:00 | 2.6511 | 2.7344 | 2.64 | 2.6928 | 40,636.7 |
2025-09-18T18:30:00 | 2.6928 | 2.6998 | 2.6498 | 2.6692 | 15,004.3 |
2025-09-18T18:45:00 | 2.6692 | 2.7408 | 2.6464 | 2.7311 | 31,688.1 |
2025-09-18T19:00:00 | 2.7311 | 2.8986 | 2.7311 | 2.824 | 89,331.8 |
2025-09-18T19:15:00 | 2.824 | 2.9533 | 2.809 | 2.8424 | 57,039.5 |
2025-09-18T19:30:00 | 2.8424 | 2.8715 | 2.68 | 2.724 | 64,331.7 |
2025-09-18T19:45:00 | 2.724 | 2.724 | 2.6618 | 2.6873 | 21,520 |
2025-09-18T20:00:00 | 2.6873 | 2.7919 | 2.6803 | 2.7152 | 28,027.4 |
2025-09-18T20:15:00 | 2.7152 | 2.7323 | 2.628 | 2.7184 | 30,080 |
2025-09-18T20:30:00 | 2.7184 | 2.7465 | 2.6926 | 2.7425 | 44,421.2 |
2025-09-18T20:45:00 | 2.7425 | 2.8016 | 2.7421 | 2.7537 | 48,169.8 |
2025-09-18T21:00:00 | 2.7537 | 2.773 | 2.668 | 2.6815 | 13,791.5 |
2025-09-18T21:15:00 | 2.6815 | 2.6815 | 2.5829 | 2.639 | 37,656.5 |
2025-09-18T21:30:00 | 2.639 | 2.658 | 2.6185 | 2.658 | 13,162.4 |
2025-09-18T21:45:00 | 2.658 | 2.7136 | 2.6363 | 2.6945 | 20,589.3 |
2025-09-18T22:00:00 | 2.6945 | 2.7797 | 2.6882 | 2.7304 | 71,151.3 |
2025-09-18T22:15:00 | 2.7304 | 2.8557 | 2.7304 | 2.8088 | 36,882.9 |
2025-09-18T22:30:00 | 2.8088 | 2.8491 | 2.7766 | 2.8324 | 22,432.5 |
2025-09-18T22:45:00 | 2.8324 | 2.8903 | 2.7684 | 2.824 | 17,415.2 |
2025-09-18T23:00:00 | 2.824 | 2.8608 | 2.7804 | 2.796 | 20,882 |
2025-09-18T23:15:00 | 2.796 | 2.8597 | 2.7887 | 2.8232 | 6,502.1 |
2025-09-18T23:30:00 | 2.8232 | 2.8432 | 2.7878 | 2.7968 | 10,373.5 |
2025-09-18T23:45:00 | 2.7968 | 2.8286 | 2.7469 | 2.8153 | 26,572.7 |
2025-09-19T00:00:00 | 2.8153 | 2.8669 | 2.7416 | 2.7784 | 59,949.9 |
2025-09-19T00:15:00 | 2.7784 | 2.798 | 2.7125 | 2.7504 | 24,458.6 |
2025-09-19T00:30:00 | 2.7504 | 2.8096 | 2.6875 | 2.7709 | 49,172.4 |
2025-09-19T00:45:00 | 2.7709 | 2.9 | 2.7709 | 2.8936 | 13,193.4 |
2025-09-19T01:00:00 | 2.8936 | 2.8936 | 2.7633 | 2.8167 | 23,068.9 |
2025-09-19T01:15:00 | 2.8167 | 2.8211 | 2.7339 | 2.7496 | 12,580.6 |
2025-09-19T01:30:00 | 2.7496 | 2.7687 | 2.6826 | 2.6975 | 41,242.7 |
2025-09-19T01:45:00 | 2.6975 | 2.719 | 2.666 | 2.706 | 24,040.4 |
2025-09-19T02:00:00 | 2.706 | 2.717 | 2.6317 | 2.6722 | 14,526.3 |
2025-09-19T02:15:00 | 2.6722 | 2.6849 | 2.592 | 2.6143 | 25,117.3 |
2025-09-19T02:30:00 | 2.6143 | 2.6423 | 2.6116 | 2.6138 | 13,542.6 |
2025-09-19T02:45:00 | 2.6138 | 2.6563 | 2.59 | 2.6235 | 20,773.1 |
2025-09-19T03:00:00 | 2.6235 | 2.6261 | 2.5402 | 2.5729 | 40,535.8 |
2025-09-19T03:15:00 | 2.5729 | 2.6621 | 2.568 | 2.6317 | 80,579.5 |
2025-09-19T03:30:00 | 2.6317 | 2.6551 | 2.566 | 2.5721 | 51,660.5 |
2025-09-19T03:45:00 | 2.5721 | 2.6576 | 2.539 | 2.6279 | 89,618.5 |
2025-09-19T04:00:00 | 2.6279 | 2.6515 | 2.5942 | 2.6493 | 39,892.4 |
2025-09-19T04:15:00 | 2.6493 | 2.696 | 2.6167 | 2.6728 | 66,989.1 |
2025-09-19T04:30:00 | 2.6728 | 2.7483 | 2.6375 | 2.7251 | 53,432.7 |
2025-09-19T04:45:00 | 2.7251 | 2.7676 | 2.7231 | 2.744 | 14,694.4 |
2025-09-19T05:00:00 | 2.744 | 2.8 | 2.738 | 2.7597 | 49,411.6 |
2025-09-19T05:15:00 | 2.7597 | 2.817 | 2.7007 | 2.7955 | 60,027.2 |
2025-09-19T05:30:00 | 2.7955 | 2.7955 | 2.6966 | 2.7176 | 100,784.8 |
2025-09-19T05:45:00 | 2.7176 | 2.8038 | 2.6892 | 2.7935 | 37,965 |
2025-09-19T06:00:00 | 2.7935 | 2.8088 | 2.7229 | 2.8044 | 42,663 |
2025-09-19T06:15:00 | 2.8044 | 2.8087 | 2.6999 | 2.75 | 26,319.1 |
2025-09-19T06:30:00 | 2.75 | 2.755 | 2.6842 | 2.6983 | 22,891.5 |
2025-09-19T06:45:00 | 2.6983 | 2.7104 | 2.6684 | 2.6704 | 6,340.9 |
2025-09-19T07:00:00 | 2.6704 | 2.7631 | 2.666 | 2.7444 | 40,555.6 |
2025-09-19T07:15:00 | 2.7444 | 2.7612 | 2.7213 | 2.7266 | 16,533.8 |
2025-09-19T07:30:00 | 2.7266 | 2.7379 | 2.7021 | 2.7295 | 19,791.2 |
2025-09-19T07:45:00 | 2.7295 | 2.7566 | 2.7196 | 2.7432 | 11,622.9 |
2025-09-19T08:00:00 | 2.7432 | 2.8487 | 2.7315 | 2.8305 | 43,154 |
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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.mdwill 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.parquetfutures/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.
- Downloads last month
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