Datasets:

humblefool06
/

bnb-usdt-1h-candles

timestamp int64 1,510B 1,787B	open float64 1.3 1.37k	high float64 1.5 1.38k	low float64 0.5 1.34k	close float64 1.37 1.37k	volume float64 0 2M
1,509,937,200,000	1.5	1.799	0.5	1.7	649.12
1,509,940,800,000	1.3	1.65	1.3	1.6479	8,147.72
1,509,944,400,000	1.5457	1.5525	1.5455	1.5458	6,628.2
1,509,948,000,000	1.5458	1.681	1.5387	1.681	22,767.9
1,509,951,600,000	1.6809	1.6809	1.6	1.625	14,938.73
1,509,955,200,000	1.6011	1.6379	1.601	1.6378	5,888.89
1,509,958,800,000	1.602	1.6366	1.58	1.6366	6,643.14
1,509,962,400,000	1.601	1.6479	1.6	1.6479	4,885.62
1,509,966,000,000	1.6479	1.676	1.6288	1.6288	4,324.77
1,509,969,600,000	1.6288	1.6288	1.5803	1.5804	5,834.38
1,509,973,200,000	1.6	1.6	1.5804	1.6	489.15
1,509,976,800,000	1.5805	1.61	1.5645	1.61	9,040.61
1,509,980,400,000	1.6098	1.6148	1.5908	1.6148	6,822.39
1,509,984,000,000	1.6148	1.631	1.6148	1.6148	1,957.74
1,509,987,600,000	1.6108	1.627	1.57	1.5829	5,646.76
1,509,991,200,000	1.5868	1.6028	1.5645	1.5908	909.99
1,509,994,800,000	1.6028	1.6028	1.571	1.5868	3,255.32
1,509,998,400,000	1.5948	1.598	1.5763	1.5789	2,629.14
1,510,002,000,000	1.5711	1.5868	1.556	1.571	1,707.62
1,510,005,600,000	1.5789	1.5868	1.55	1.5631	4,534.05
1,510,009,200,000	1.5553	1.577	1.5553	1.571	2,914.1
1,510,012,800,000	1.571	1.5948	1.545	1.571	3,617.43
1,510,016,400,000	1.5789	1.5789	1.5389	1.5389	3,781.84
1,510,020,000,000	1.5389	1.5389	1.5389	1.5389	0.72
1,510,023,600,000	1.58	1.6188	1.55	1.6188	957.27
1,510,027,200,000	1.6184	1.6188	1.5548	1.5705	7,268.47
1,510,030,800,000	1.5705	1.602	1.5705	1.602	3,914.23
1,510,034,400,000	1.59	1.59	1.5705	1.5705	3,046.71
1,510,038,000,000	1.5705	1.5705	1.5705	1.5705	13.76
1,510,041,600,000	1.59	1.595	1.58	1.5949	371
1,510,045,200,000	1.588	1.588	1.5548	1.5864	865.9
1,510,048,800,000	1.5864	1.5864	1.565	1.5864	117.38
1,510,052,400,000	1.5864	1.6184	1.5705	1.5864	3,226.54
1,510,056,000,000	1.6183	1.6266	1.6	1.6103	6,772.42
1,510,059,600,000	1.6103	1.6103	1.5801	1.5942	1,466.33
1,510,063,200,000	1.6023	1.7	1.6023	1.6999	31,475.45
1,510,066,800,000	1.689	1.7885	1.689	1.7353	20,789.1
1,510,070,400,000	1.7191	1.7191	1.6593	1.7099	11,302.08
1,510,074,000,000	1.7099	1.799	1.7099	1.7704	20,031.7
1,510,077,600,000	1.7616	1.799	1.7288	1.799	3,980.17
1,510,081,200,000	1.799	1.799	1.799	1.799	55.4
1,510,084,800,000	1.79	1.7989	1.7634	1.7634	905.28
1,510,088,400,000	1.7634	1.7634	1.7196	1.72	838.74
1,510,092,000,000	1.7196	1.737	1.7196	1.737	959.82
1,510,095,600,000	1.737	1.8	1.737	1.8	8,371.99
1,510,099,200,000	1.7901	1.9	1.7479	1.8718	11,333.76
1,510,102,800,000	1.8719	1.946	1.8	1.8013	21,109.55
1,510,106,400,000	1.8025	1.8999	1.77	1.8113	12,618.94
1,510,110,000,000	1.8	1.82	1.8	1.81	2,411.3
1,510,113,600,000	1.8891	1.99	1.882	1.9	25,161.05
1,510,117,200,000	1.882	1.9498	1.838	1.87	8,069.4
1,510,120,800,000	1.8789	1.9486	1.8235	1.8513	6,005.23
1,510,124,400,000	1.8616	1.988	1.8616	1.8631	1,740.94
1,510,128,000,000	1.9448	1.9448	1.8763	1.8763	794.63
1,510,131,600,000	1.8763	1.94	1.8757	1.935	5,934.33
1,510,135,200,000	1.935	1.935	1.8998	1.8998	2,502.36
1,510,138,800,000	1.8998	1.8999	1.8736	1.8736	5,774.17
1,510,142,400,000	1.87	1.8998	1.821	1.821	15,802.86
1,510,146,000,000	1.8211	1.8799	1.8211	1.8369	800.75
1,510,149,600,000	1.8369	1.929	1.8368	1.8996	15,267.67
1,510,153,200,000	1.899	1.93	1.869	1.93	3,106.43
1,510,156,800,000	1.9249	1.9249	1.9234	1.9235	1,542.13
1,510,160,400,000	1.93	1.95	1.849	1.93	8,905.22
1,510,164,000,000	1.94	1.99	1.78	1.895	67,528.43
1,510,167,600,000	1.895	1.9734	1.87	1.95	20,592.01
1,510,171,200,000	1.91	1.99	1.9	1.95	30,693.33
1,510,174,800,000	1.9779	1.9897	1.9	1.9	4,780.01
1,510,178,400,000	1.9	1.9888	1.9	1.9887	14,958.57
1,510,182,000,000	1.9001	1.9899	1.875	1.9889	59,857.19
1,510,185,600,000	1.9781	1.9899	1.9	1.9251	10,856.9
1,510,189,200,000	1.9255	1.9999	1.925	1.999	10,818.35
1,510,192,800,000	1.998	1.999	1.931	1.989	13,813.47
1,510,196,400,000	1.9889	2.05	1.9408	2.05	9,300.12
1,510,200,000,000	1.96	2.0295	1.96	2.0294	2,017.06
1,510,203,600,000	2.0294	2.0295	1.9761	2	4,154.51
1,510,207,200,000	2	2.02	2	2.02	5,021.79
1,510,210,800,000	2.0197	2.02	1.9808	2.0182	3,609.06
1,510,214,400,000	2.0182	2.0497	2	2	15,860.33
1,510,218,000,000	2.03	2.035	2.01	2.035	3,146.9
1,510,221,600,000	2.02	2.0299	1.9704	2.0062	23,024.46
1,510,225,200,000	2.0299	2.07	2	2.0001	29,287.24
1,510,228,800,000	2.0599	2.0599	2.0118	2.0575	4,456.02
1,510,232,400,000	2.0271	2.1	2.0252	2.066	27,285.8
1,510,236,000,000	2.0661	2.15	2.066	2.14	25,759.77
1,510,239,600,000	2.145	2.1997	2.0711	2.0711	31,274.34
1,510,243,200,000	2.11	2.1289	2.091	2.091	9,687.85
1,510,246,800,000	2.0912	2.11	2.08	2.11	4,200.81
1,510,250,400,000	2.1289	2.1302	2.0921	2.0937	3,971.8
1,510,254,000,000	2.0937	2.1297	2.0937	2.1294	628.78
1,510,257,600,000	2.1279	2.1279	2.07	2.07	1,279.09
1,510,261,200,000	2.06	2.1275	2.0201	2.0201	5,416.13
1,510,264,800,000	2.0201	2.026	1.96	1.96	28,516.43
1,510,268,400,000	1.9601	1.99	1.9	1.99	13,650.19
1,510,272,000,000	1.99	2.02	1.9602	1.9602	6,166.74
1,510,275,600,000	2.0189	2.0189	1.9881	1.9881	6,379.03
1,510,279,200,000	1.9976	2.02	1.9	1.9052	49,155.03
1,510,282,800,000	1.9101	1.97	1.9101	1.9498	9,605.79
1,510,286,400,000	1.94	1.9497	1.918	1.9496	2,335.76
1,510,290,000,000	1.92	1.93	1.895	1.93	19,588.4
1,510,293,600,000	1.9	1.9488	1.8923	1.9488	6,151.77

End of preview. Expand in Data Studio

BNB-USDT 1-Hour Candles

Full-history 1-Hour-resolution OHLCV candlestick data for the BNB-USDT trading pair (BNB), from 2017-11-06T03:00:00Z to 2026-08-13T23:00:00Z (76,749 candles, UTC). Covers the pair's entire listed history from first traded candle to the most recent completed daily session.

Columns

Column	Type	Description
`timestamp`	int64	Candle open time, Unix epoch milliseconds (UTC)
`open`	float	Open price
`high`	float	High price
`low`	float	Low price
`close`	float	Close price
`volume`	float	Base asset volume (BNB)

Each row is one 1h candle. Prices are quoted in USDT.

Data Quality

Timestamps normalized to millisecond precision (UTC), strictly increasing, deduplicated.
OHLC sanity-checked: high >= max(open, close, low) and low <= min(open, close, high).
Missing candles correspond to periods with no traded activity (no candle was produced for those intervals).

Load

from datasets import load_dataset

ds = load_dataset("humblefool06/bnb-usdt-1h-candles", split="train")

Or directly from the JSONL file:

from datasets import load_dataset

ds = load_dataset("json", data_files="data/bnb_usdt_1h.jsonl", split="train")

License

Released under the Creative Commons Attribution 4.0 International license (CC-BY-4.0). You are free to share and adapt this data for any purpose, including commercially, provided you give appropriate credit. Provided as-is, without warranty of any kind.

Downloads last month: 48