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date timestamp[ns, tz=UTC] | open float64 | high float64 | low float64 | close float64 | volume float64 |
|---|---|---|---|---|---|
2025-09-17T00:00:00 | 1.884 | 3.1995 | 1.08 | 2.7816 | 1,380,266 |
2025-09-18T00:00:00 | 2.7791 | 3.6203 | 2.2064 | 2.8034 | 2,211,755 |
2025-09-19T00:00:00 | 2.8048 | 2.9992 | 2.5238 | 2.761 | 898,699 |
2025-09-20T00:00:00 | 2.7605 | 2.8498 | 2.6105 | 2.6406 | 522,236 |
2025-09-21T00:00:00 | 2.6338 | 3.6364 | 2.2495 | 3.1466 | 2,228,538 |
2025-09-22T00:00:00 | 3.1486 | 6.4635 | 2.939 | 4.7939 | 26,952,405 |
2025-09-23T00:00:00 | 4.7914 | 7.2 | 4.5701 | 5.7907 | 19,447,672 |
2025-09-24T00:00:00 | 5.7889 | 5.85 | 4.8323 | 4.9999 | 7,299,664 |
2025-09-25T00:00:00 | 5.0009 | 5.0105 | 3.6407 | 3.911 | 9,286,431 |
2025-09-26T00:00:00 | 3.9095 | 4.36 | 3.33 | 3.6764 | 9,599,258 |
2025-09-27T00:00:00 | 3.6778 | 3.9908 | 3.4485 | 3.7234 | 3,792,413 |
2025-09-28T00:00:00 | 3.7249 | 3.8773 | 3.4422 | 3.7245 | 4,037,796 |
2025-09-29T00:00:00 | 3.7262 | 3.7905 | 2.7039 | 2.8769 | 7,267,880 |
2025-09-30T00:00:00 | 2.8768 | 2.8931 | 2.3884 | 2.532 | 9,313,873 |
2025-10-01T00:00:00 | 2.5316 | 3.2624 | 2.5146 | 2.7622 | 10,356,250 |
2025-10-02T00:00:00 | 2.7621 | 2.8435 | 2.4919 | 2.7046 | 2,977,024 |
2025-10-03T00:00:00 | 2.7043 | 3.4128 | 2.667 | 3.3459 | 6,805,324 |
2025-10-04T00:00:00 | 3.3442 | 3.3462 | 2.9219 | 2.9958 | 2,854,417 |
2025-10-05T00:00:00 | 2.9972 | 3.0756 | 2.8507 | 2.8894 | 2,684,833 |
2025-10-06T00:00:00 | 2.8894 | 3.238 | 2.8748 | 3.0595 | 4,150,745 |
2025-10-07T00:00:00 | 3.0591 | 3.0601 | 2.8088 | 2.8444 | 2,176,636 |
2025-10-08T00:00:00 | 2.8442 | 2.8587 | 2.7168 | 2.7904 | 1,998,074 |
2025-10-09T00:00:00 | 2.7909 | 2.7968 | 2.5285 | 2.5972 | 1,662,690 |
2025-10-10T00:00:00 | 2.5973 | 2.8021 | 1.6131 | 2.1427 | 3,253,516 |
2025-10-11T00:00:00 | 2.1417 | 2.4339 | 2.1304 | 2.1762 | 1,405,333 |
2025-10-12T00:00:00 | 2.1772 | 2.3236 | 2.1006 | 2.2819 | 1,562,048 |
2025-10-13T00:00:00 | 2.2819 | 2.3704 | 2.1499 | 2.3517 | 1,344,576 |
2025-10-14T00:00:00 | 2.3523 | 2.3524 | 2.0653 | 2.1893 | 1,107,694 |
2025-10-15T00:00:00 | 2.1892 | 2.2084 | 2.0108 | 2.0335 | 975,463 |
2025-10-16T00:00:00 | 2.0338 | 2.1067 | 1.923 | 1.9564 | 1,015,861 |
2025-10-17T00:00:00 | 1.9583 | 1.9936 | 1.7637 | 1.8568 | 754,346 |
2025-10-18T00:00:00 | 1.857 | 1.9115 | 1.7975 | 1.823 | 333,038 |
2025-10-19T00:00:00 | 1.8218 | 1.8684 | 1.7364 | 1.8083 | 459,459 |
2025-10-20T00:00:00 | 1.8074 | 1.9681 | 1.734 | 1.9366 | 847,590 |
2025-10-21T00:00:00 | 1.9353 | 2.2295 | 1.8703 | 1.8919 | 5,833,352 |
2025-10-22T00:00:00 | 1.8913 | 1.9338 | 1.7523 | 1.797 | 1,694,413 |
2025-10-23T00:00:00 | 1.795 | 1.831 | 1.7101 | 1.7608 | 1,186,364 |
2025-10-24T00:00:00 | 1.7578 | 1.8196 | 1.7214 | 1.7641 | 1,028,031 |
2025-10-25T00:00:00 | 1.7632 | 1.7766 | 1.6845 | 1.7527 | 730,018 |
2025-10-26T00:00:00 | 1.7545 | 1.7925 | 1.7186 | 1.7599 | 387,310 |
2025-10-27T00:00:00 | 1.7613 | 1.8151 | 1.5653 | 1.5953 | 659,279 |
2025-10-28T00:00:00 | 1.5951 | 1.7128 | 1.5475 | 1.5634 | 1,541,977 |
2025-10-29T00:00:00 | 1.563 | 1.6057 | 1.4554 | 1.464 | 466,291 |
2025-10-30T00:00:00 | 1.4641 | 1.4976 | 1.1549 | 1.1646 | 740,089 |
2025-10-31T00:00:00 | 1.1633 | 1.2168 | 1.0609 | 1.0875 | 741,810 |
2025-11-01T00:00:00 | 1.0851 | 1.1576 | 1.0366 | 1.0674 | 453,191 |
2025-11-02T00:00:00 | 1.0677 | 1.1006 | 0.9401 | 0.9754 | 766,114 |
2025-11-03T00:00:00 | 0.9745 | 1.6106 | 0.97 | 1.242 | 25,268,458 |
2025-11-04T00:00:00 | 1.2414 | 1.375 | 1.088 | 1.1653 | 17,715,308 |
2025-11-05T00:00:00 | 1.1646 | 1.2174 | 1.0634 | 1.1299 | 4,834,664 |
2025-11-06T00:00:00 | 1.1297 | 1.1297 | 0.989 | 1.0097 | 3,038,859 |
2025-11-07T00:00:00 | 1.0096 | 1.1237 | 0.9744 | 1.1095 | 1,981,896 |
2025-11-08T00:00:00 | 1.1078 | 1.7746 | 1.1013 | 1.4845 | 21,538,764 |
2025-11-09T00:00:00 | 1.4843 | 1.8941 | 1.391 | 1.6855 | 16,696,713 |
2025-11-10T00:00:00 | 1.6853 | 1.7772 | 1.4818 | 1.5273 | 5,432,002 |
2025-11-11T00:00:00 | 1.5272 | 1.5278 | 1.3084 | 1.3254 | 2,554,279 |
2025-11-12T00:00:00 | 1.3256 | 1.4713 | 1.2764 | 1.359 | 4,184,236 |
2025-11-13T00:00:00 | 1.359 | 1.4159 | 1.2388 | 1.3063 | 2,746,289 |
2025-11-14T00:00:00 | 1.3028 | 1.3044 | 1.188 | 1.2167 | 1,568,218 |
2025-11-15T00:00:00 | 1.2174 | 1.3578 | 1.191 | 1.3578 | 2,161,513 |
2025-11-16T00:00:00 | 1.3572 | 1.434 | 1.2005 | 1.2458 | 3,409,742 |
2025-11-17T00:00:00 | 1.2456 | 1.278 | 1.152 | 1.1961 | 2,603,146 |
2025-11-18T00:00:00 | 1.1937 | 1.2559 | 1.1391 | 1.246 | 1,306,624 |
2025-11-19T00:00:00 | 1.2446 | 1.2645 | 1.102 | 1.1714 | 921,752 |
2025-11-20T00:00:00 | 1.1711 | 1.1732 | 1.085 | 1.1031 | 729,633 |
2025-11-21T00:00:00 | 1.1037 | 1.3044 | 1.0738 | 1.1493 | 2,597,223 |
2025-11-22T00:00:00 | 1.1497 | 1.4075 | 1.1336 | 1.2648 | 4,379,883 |
2025-11-23T00:00:00 | 1.2642 | 1.6094 | 1.216 | 1.3062 | 5,728,291 |
2025-11-24T00:00:00 | 1.3054 | 1.3376 | 1.1905 | 1.2598 | 2,135,331 |
2025-11-25T00:00:00 | 1.2584 | 1.2772 | 1.1708 | 1.2324 | 1,350,612 |
2025-11-26T00:00:00 | 1.2318 | 1.2332 | 1.1555 | 1.2069 | 1,015,988 |
2025-11-27T00:00:00 | 1.2072 | 1.2461 | 1.1775 | 1.2415 | 840,123 |
2025-11-28T00:00:00 | 1.2409 | 1.2514 | 1.1829 | 1.2298 | 1,113,047 |
2025-11-29T00:00:00 | 1.2282 | 1.253 | 1.1985 | 1.2036 | 765,554 |
2025-11-30T00:00:00 | 1.2033 | 1.2053 | 1.1472 | 1.1506 | 568,242 |
2025-12-01T00:00:00 | 1.1504 | 1.1909 | 1.0592 | 1.1613 | 1,336,726 |
2025-12-02T00:00:00 | 1.1578 | 1.2237 | 1.1388 | 1.1889 | 1,187,813 |
2025-12-03T00:00:00 | 1.1885 | 1.235 | 1.1629 | 1.1935 | 812,367 |
2025-12-04T00:00:00 | 1.1934 | 1.2316 | 1.1433 | 1.1544 | 808,790 |
2025-12-05T00:00:00 | 1.1544 | 1.1587 | 1.0321 | 1.0602 | 603,731 |
2025-12-06T00:00:00 | 1.0582 | 1.0583 | 1.0125 | 1.033 | 628,973 |
2025-12-07T00:00:00 | 1.0325 | 1.0354 | 0.9747 | 0.9872 | 1,227,649 |
2025-12-08T00:00:00 | 0.9874 | 1.0186 | 0.9791 | 0.9949 | 858,860 |
2025-12-09T00:00:00 | 0.9953 | 1.0557 | 0.9557 | 1.0334 | 679,277 |
2025-12-10T00:00:00 | 1.0337 | 1.0365 | 0.9789 | 0.9887 | 749,835 |
2025-12-11T00:00:00 | 0.9871 | 0.9909 | 0.9248 | 0.9347 | 1,257,293 |
2025-12-12T00:00:00 | 0.9344 | 0.96 | 0.8731 | 0.8884 | 1,281,955 |
2025-12-13T00:00:00 | 0.8902 | 0.952 | 0.8735 | 0.9064 | 1,211,288 |
2025-12-14T00:00:00 | 0.9066 | 0.9577 | 0.8755 | 0.9127 | 1,891,823 |
2025-12-15T00:00:00 | 0.9124 | 0.9224 | 0.841 | 0.8583 | 1,485,248 |
2025-12-16T00:00:00 | 0.8594 | 0.8704 | 0.8194 | 0.8382 | 821,303 |
2025-12-17T00:00:00 | 0.8373 | 0.8373 | 0.7438 | 0.7577 | 2,028,356 |
2025-12-18T00:00:00 | 0.7594 | 0.7599 | 0.6946 | 0.7147 | 2,471,802 |
2025-12-19T00:00:00 | 0.7149 | 0.798 | 0.7005 | 0.7669 | 2,094,072 |
2025-12-20T00:00:00 | 0.7673 | 0.8183 | 0.7608 | 0.801 | 1,660,135 |
2025-12-21T00:00:00 | 0.8004 | 0.8133 | 0.7544 | 0.7728 | 1,412,962 |
2025-12-22T00:00:00 | 0.772 | 0.8823 | 0.7511 | 0.82 | 2,406,482 |
2025-12-23T00:00:00 | 0.8204 | 0.8204 | 0.7846 | 0.8019 | 1,207,203 |
2025-12-24T00:00:00 | 0.8017 | 0.8055 | 0.7779 | 0.8015 | 960,077 |
2025-12-25T00:00:00 | 0.8015 | 1.1755 | 0.8015 | 1.0393 | 17,146,835 |
End of preview.
Gate.io USDT OHLCV Klines
Historical OHLCV candlestick (kline) data for Gate.io USDT-quoted markets, stored as zstd-compressed Parquet.
Coverage
| Exchange | Gate.io |
| Markets | spot (primary) · futures (USDT perpetuals — limited history, see Notes) |
| Timeframes | 5m · 15m · 1h · 4h · 1d (all pairs) — plus 1m for a ~1.3k-pair subset |
| Pairs | ~3,300 spot USDT pairs |
| History | spot back to 2013 for the oldest listings |
| As of | static snapshot (~2025-05); periodic refresh planned |
| Source | seeded from the DigiTuccar HistoricalDataForTradeBacktest snapshot |
File layout
{market}/{timeframe}/{PAIR}.parquet
Examples: spot/1d/BTC_USDT.parquet, spot/5m/ETH_USDT.parquet
Each Parquet holds one pair × one timeframe. Columns:
| column | type | description |
|---|---|---|
date |
datetime (UTC) | candle open time |
open |
float | open price |
high |
float | high price |
low |
float | low price |
close |
float | close price |
volume |
float | base-asset volume |
Usage
Single file:
from huggingface_hub import hf_hub_download
import pandas as pd
path = hf_hub_download("rogerdehe/klines-gateio",
"spot/1d/BTC_USDT.parquet", repo_type="dataset")
df = pd.read_parquet(path)
A subset (or all) of the dataset:
from huggingface_hub import snapshot_download
snapshot_download("rogerdehe/klines-gateio", repo_type="dataset",
allow_patterns=["spot/1d/*"]) # e.g. just daily spot
Notes
- Futures history is limited: Gate.io's API only served ~180 days back at
snapshot time, so
futures/is thin relative tospot/. Use spot for deep history. 1mis available only for a subset of pairs (~1.3k); other timeframes cover all pairs.- The HF dataset viewer is disabled (custom per-pair layout); load files directly as shown above.
- Timestamps are UTC. Data is provided as-is for research purposes, with no warranty of accuracy or completeness.
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