Datasets:
Tasks:
Time Series Forecasting
Modalities:
Tabular
Formats:
parquet
Languages:
English
Size:
10M - 100M
License:
Search is not available for this dataset
date timestamp[ns, tz=UTC] | open float64 | high float64 | low float64 | close float64 | volume float64 |
|---|---|---|---|---|---|
2025-09-22T10:30:00 | 3.261 | 3.4399 | 3.2081 | 3.2376 | 712,778 |
2025-09-22T10:45:00 | 3.2375 | 3.2599 | 3.1201 | 3.2437 | 799,373 |
2025-09-22T11:00:00 | 3.2385 | 3.5525 | 3.2264 | 3.4221 | 1,245,593 |
2025-09-22T11:15:00 | 3.422 | 4.2555 | 3.3807 | 4.1904 | 2,704,052 |
2025-09-22T11:30:00 | 4.1904 | 5.6133 | 4.095 | 5.4674 | 4,850,895 |
2025-09-22T11:45:00 | 5.4674 | 6.5499 | 5.1002 | 5.3355 | 4,772,709 |
2025-09-22T12:00:00 | 5.3355 | 5.5636 | 4.7734 | 5.1401 | 3,171,126 |
2025-09-22T12:15:00 | 5.1456 | 5.53 | 4.9306 | 4.9842 | 2,298,213 |
2025-09-22T12:30:00 | 4.9842 | 5.8182 | 4.6512 | 5.1397 | 3,507,304 |
2025-09-22T12:45:00 | 5.1367 | 5.2879 | 4.9105 | 4.9773 | 1,978,279 |
2025-09-22T13:00:00 | 4.975 | 5.05 | 4.2 | 4.463 | 3,331,864 |
2025-09-22T13:15:00 | 4.4626 | 4.5 | 4.1332 | 4.2656 | 2,083,003 |
2025-09-22T13:30:00 | 4.2625 | 4.6602 | 4.24 | 4.5295 | 2,807,471 |
2025-09-22T13:45:00 | 4.5306 | 5.1203 | 4.4507 | 5.0133 | 3,206,115 |
2025-09-22T14:00:00 | 5.0161 | 5.23 | 4.781 | 5.0098 | 2,766,894 |
2025-09-22T14:15:00 | 5.0129 | 5.4133 | 4.9939 | 5.2304 | 2,678,992 |
2025-09-22T14:30:00 | 5.2274 | 5.2452 | 4.8625 | 4.9258 | 2,227,570 |
2025-09-22T14:45:00 | 4.9257 | 5.0497 | 4.6908 | 4.8663 | 2,537,973 |
2025-09-22T15:00:00 | 4.8635 | 4.99 | 4.696 | 4.7755 | 2,344,058 |
2025-09-22T15:15:00 | 4.7774 | 5.1 | 4.703 | 4.9919 | 2,063,948 |
2025-09-22T15:30:00 | 4.9894 | 5.086 | 4.8179 | 4.87 | 1,338,283 |
2025-09-22T15:45:00 | 4.8703 | 5.026 | 4.7904 | 5.0164 | 1,584,070 |
2025-09-22T16:00:00 | 5.0165 | 5.2097 | 4.9015 | 5.0071 | 2,591,867 |
2025-09-22T16:15:00 | 5.0046 | 5.18 | 4.9039 | 4.978 | 1,381,433 |
2025-09-22T16:30:00 | 4.9781 | 5.0968 | 4.5907 | 4.7922 | 1,865,747 |
2025-09-22T16:45:00 | 4.7938 | 4.995 | 4.7904 | 4.9113 | 1,006,827 |
2025-09-22T17:00:00 | 4.9093 | 5.1 | 4.8241 | 5.0344 | 1,223,800 |
2025-09-22T17:15:00 | 5.0339 | 5.0758 | 4.8671 | 4.8898 | 823,565 |
2025-09-22T17:30:00 | 4.8903 | 5.0028 | 4.8079 | 4.9254 | 783,075 |
2025-09-22T17:45:00 | 4.9274 | 4.9554 | 4.74 | 4.8469 | 891,619 |
2025-09-22T18:00:00 | 4.8469 | 4.883 | 4.6637 | 4.8486 | 959,032 |
2025-09-22T18:15:00 | 4.8469 | 4.8865 | 4.4209 | 4.636 | 1,666,445 |
2025-09-22T18:30:00 | 4.6365 | 4.6406 | 4.4492 | 4.481 | 760,658 |
2025-09-22T18:45:00 | 4.4829 | 4.5596 | 4.3146 | 4.339 | 924,425 |
2025-09-22T19:00:00 | 4.3399 | 4.4445 | 4.19 | 4.3917 | 1,228,115 |
2025-09-22T19:15:00 | 4.3915 | 4.6863 | 4.3637 | 4.5807 | 1,085,709 |
2025-09-22T19:30:00 | 4.582 | 4.68 | 4.488 | 4.556 | 953,803 |
2025-09-22T19:45:00 | 4.558 | 4.7364 | 4.4201 | 4.6612 | 979,629 |
2025-09-22T20:00:00 | 4.66 | 4.7568 | 4.5921 | 4.6459 | 606,073 |
2025-09-22T20:15:00 | 4.6469 | 4.7258 | 4.56 | 4.658 | 570,899 |
2025-09-22T20:30:00 | 4.6583 | 4.712 | 4.552 | 4.5915 | 481,544 |
2025-09-22T20:45:00 | 4.591 | 4.6638 | 4.52 | 4.6496 | 486,236 |
2025-09-22T21:00:00 | 4.6483 | 4.6957 | 4.4702 | 4.59 | 574,832 |
2025-09-22T21:15:00 | 4.5893 | 4.6783 | 4.5853 | 4.6494 | 491,552 |
2025-09-22T21:30:00 | 4.6485 | 4.6697 | 4.556 | 4.5664 | 310,623 |
2025-09-22T21:45:00 | 4.5654 | 4.5933 | 4.4401 | 4.5414 | 321,231 |
2025-09-22T22:00:00 | 4.542 | 4.579 | 4.4649 | 4.5073 | 434,218 |
2025-09-22T22:15:00 | 4.5071 | 4.5199 | 4.3288 | 4.3976 | 606,541 |
2025-09-22T22:30:00 | 4.3965 | 4.491 | 4.3618 | 4.4721 | 349,253 |
2025-09-22T22:45:00 | 4.4709 | 4.571 | 4.4352 | 4.5518 | 350,955 |
2025-09-22T23:00:00 | 4.5519 | 4.5519 | 4.455 | 4.4905 | 295,794 |
2025-09-22T23:15:00 | 4.4906 | 4.5063 | 4.4094 | 4.4929 | 377,676 |
2025-09-22T23:30:00 | 4.4947 | 4.7975 | 4.4854 | 4.6951 | 884,010 |
2025-09-22T23:45:00 | 4.6957 | 4.7755 | 4.643 | 4.7624 | 501,963 |
2025-09-23T00:00:00 | 4.7645 | 4.792 | 4.5354 | 4.593 | 947,203 |
2025-09-23T00:15:00 | 4.5927 | 4.72 | 4.58 | 4.6407 | 610,805 |
2025-09-23T00:30:00 | 4.64 | 4.7514 | 4.5319 | 4.6114 | 637,217 |
2025-09-23T00:45:00 | 4.6135 | 4.9412 | 4.58 | 4.8532 | 708,095 |
2025-09-23T01:00:00 | 4.8508 | 5.2075 | 4.8189 | 5.1442 | 1,276,195 |
2025-09-23T01:15:00 | 5.1397 | 5.2799 | 5.0089 | 5.1352 | 1,136,540 |
2025-09-23T01:30:00 | 5.1316 | 5.5799 | 5.0604 | 5.5511 | 1,434,128 |
2025-09-23T01:45:00 | 5.5506 | 5.7999 | 5.4301 | 5.7912 | 1,598,395 |
2025-09-23T02:00:00 | 5.7936 | 6.1004 | 5.4543 | 5.7699 | 2,703,849 |
2025-09-23T02:15:00 | 5.77 | 6.4371 | 5.77 | 6.315 | 2,055,537 |
2025-09-23T02:30:00 | 6.3114 | 6.7269 | 6.1351 | 6.546 | 2,729,262 |
2025-09-23T02:45:00 | 6.5427 | 7.0935 | 6.2025 | 6.3571 | 3,649,121 |
2025-09-23T03:00:00 | 6.357 | 6.7507 | 6.3134 | 6.6232 | 1,927,681 |
2025-09-23T03:15:00 | 6.6228 | 6.6856 | 5.8606 | 5.9549 | 2,789,280 |
2025-09-23T03:30:00 | 5.9552 | 6.1306 | 5.6049 | 5.7363 | 2,133,227 |
2025-09-23T03:45:00 | 5.7387 | 6.2 | 5.6463 | 6.0857 | 1,901,259 |
2025-09-23T04:00:00 | 6.0825 | 6.0959 | 5.7658 | 5.8993 | 1,432,055 |
2025-09-23T04:15:00 | 5.8993 | 6.155 | 5.7353 | 6.0163 | 1,235,856 |
2025-09-23T04:30:00 | 6.0195 | 6.1839 | 5.9443 | 6.0357 | 1,266,565 |
2025-09-23T04:45:00 | 6.0379 | 6.2701 | 5.9316 | 6.0711 | 1,198,827 |
2025-09-23T05:00:00 | 6.0703 | 6.115 | 5.8237 | 5.9115 | 1,052,422 |
2025-09-23T05:15:00 | 5.9116 | 6.1809 | 5.9114 | 6.1554 | 700,762 |
2025-09-23T05:30:00 | 6.1553 | 6.2903 | 6.0136 | 6.1887 | 961,548 |
2025-09-23T05:45:00 | 6.188 | 6.3 | 6.0165 | 6.0766 | 947,600 |
2025-09-23T06:00:00 | 6.0777 | 6.1559 | 5.8802 | 6.027 | 1,117,057 |
2025-09-23T06:15:00 | 6.0302 | 6.1918 | 6.0094 | 6.15 | 771,739 |
2025-09-23T06:30:00 | 6.1503 | 6.1831 | 6.0404 | 6.1697 | 662,041 |
2025-09-23T06:45:00 | 6.1696 | 6.1711 | 5.7292 | 5.8658 | 1,192,270 |
2025-09-23T07:00:00 | 5.8648 | 5.9582 | 5.7252 | 5.8111 | 1,090,566 |
2025-09-23T07:15:00 | 5.8109 | 5.944 | 5.7967 | 5.8936 | 514,317 |
2025-09-23T07:30:00 | 5.8928 | 5.95 | 5.5676 | 5.74 | 1,122,766 |
2025-09-23T07:45:00 | 5.7401 | 5.8715 | 5.7027 | 5.8336 | 780,126 |
2025-09-23T08:00:00 | 5.832 | 5.9306 | 5.7118 | 5.9008 | 736,390 |
2025-09-23T08:15:00 | 5.8973 | 5.95 | 5.8008 | 5.8602 | 534,111 |
2025-09-23T08:30:00 | 5.8578 | 6.0101 | 5.8335 | 5.9254 | 603,063 |
2025-09-23T08:45:00 | 5.9234 | 5.98 | 5.8852 | 5.9217 | 380,262 |
2025-09-23T09:00:00 | 5.9246 | 5.9541 | 5.792 | 5.7999 | 612,619 |
2025-09-23T09:15:00 | 5.8025 | 5.8068 | 5.6306 | 5.6952 | 962,468 |
2025-09-23T09:30:00 | 5.6939 | 5.7572 | 5.6119 | 5.689 | 519,726 |
2025-09-23T09:45:00 | 5.6879 | 5.8555 | 5.6867 | 5.824 | 476,173 |
2025-09-23T10:00:00 | 5.8233 | 5.9394 | 5.7201 | 5.8667 | 877,312 |
2025-09-23T10:15:00 | 5.8654 | 5.8999 | 5.8124 | 5.838 | 448,048 |
2025-09-23T10:30:00 | 5.8387 | 5.8952 | 5.6972 | 5.8556 | 666,876 |
2025-09-23T10:45:00 | 5.8558 | 5.8649 | 5.6875 | 5.7367 | 566,782 |
2025-09-23T11:00:00 | 5.7366 | 5.7369 | 5.3393 | 5.4412 | 1,797,433 |
2025-09-23T11:15:00 | 5.4412 | 5.5374 | 5.2533 | 5.3812 | 1,175,470 |
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OKX USDT Perpetual OHLCV Klines
Historical OHLCV candlestick (kline) data for OKX USDT-margined perpetual futures, stored as zstd-compressed Parquet. Includes delisted symbols where available, for point-in-time / survivorship-bias-free backtests.
⚠️ Under construction. This dataset is being actively built and is currently partial — light timeframes (15m · 1h · 4h · 1d) are being backfilled across the full ~408-pair universe, with 5m/3m and 1m still to come. Pair and timeframe coverage will grow. A per-file
COVERAGE.mdwill follow once settled.
Coverage (in progress)
| futures (USDT perp) | |
|---|---|
| Pairs | building toward ~408 (incl. delisted) |
| Timeframes | 15m · 1h · 4h · 1d being filled first; 5m · 3m · 1m coming |
| History | from each contract's listing (mostly 2020–2021 onward) → present |
| Extras | mark price and funding_rate series for many 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-okx",
"futures/1d/BTC_USDT_USDT.parquet", repo_type="dataset")
df = pd.read_parquet(path)
Notes
- Timestamps are UTC. Coverage varies per pair; this dataset is still filling in.
- 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.
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