Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
timestamp
int64
1,597B
1,787B
open
float64
1.08
296
high
float64
1.1
296
low
float64
1.03
294
close
float64
1.06
296
volume
float64
0
643k
1,597,125,600,000
2.85
2.85
2.85
2.85
3.6
1,597,125,660,000
2.85
2.85
2.85
2.85
0
1,597,125,720,000
2.85
2.85
2.85
2.85
0
1,597,125,780,000
3.4699
3.47
3.0003
3.0003
3,410.31
1,597,125,840,000
3.1852
3.1852
3.1852
3.1852
313.95
1,597,125,900,000
3.1846
3.47
3.1846
3.47
1,054.37
1,597,125,960,000
3.215
3.215
3.189
3.2
892.21
1,597,126,020,000
3.19
3.19
3.189
3.189
205.7
1,597,126,080,000
3.1846
3.1846
3.1846
3.1846
130.71
1,597,126,140,000
3.1846
3.1846
3.1846
3.1846
0
1,597,126,200,000
3.1846
3.1846
3.1846
3.1846
0
1,597,126,260,000
3.1846
3.1846
3.1846
3.1846
0
1,597,126,320,000
3.1655
3.1655
3.1655
3.1655
3.17
1,597,126,380,000
3.1655
3.1655
3.1655
3.1655
101.8
1,597,126,440,000
3.1655
3.1655
3.1655
3.1655
0
1,597,126,500,000
3.1655
3.1655
3.1655
3.1655
8.89
1,597,126,560,000
3.3564
3.3564
3.1358
3.1358
199.04
1,597,126,620,000
3.1358
3.1358
3.1358
3.1358
0
1,597,126,680,000
3.1358
3.1358
3.1358
3.1358
0
1,597,126,740,000
3.3564
3.3564
3.3564
3.3564
30
1,597,126,800,000
3.1993
3.3564
3.18
3.18
1,791.22
1,597,126,860,000
3.1861
3.1861
3.1554
3.1554
278.59
1,597,126,920,000
3.156
3.18
3.156
3.1561
217.76
1,597,126,980,000
3.156
3.156
3.15
3.15
20.93
1,597,127,040,000
3.15
3.15
3.15
3.15
0
1,597,127,100,000
3.15
3.15
3.15
3.15
0
1,597,127,160,000
3.15
3.15
3.15
3.15
0
1,597,127,220,000
3.136
3.136
3.136
3.136
259
1,597,127,280,000
3.136
3.136
3.136
3.136
7.68
1,597,127,340,000
3.136
3.136
3.136
3.136
0
1,597,127,400,000
3.136
3.136
3.136
3.136
13
1,597,127,460,000
3.136
3.136
3.136
3.136
0
1,597,127,520,000
3.0706
3.0706
3.055
3.055
3,006.3
1,597,127,580,000
3.0161
3.0161
3.0161
3.0161
37.94
1,597,127,640,000
3.0052
3.0059
3.0003
3.0003
1,362.54
1,597,127,700,000
3.0002
3.0161
3
3.0161
1,061.33
1,597,127,760,000
2.998
2.998
2.992
2.998
1,070.35
1,597,127,820,000
2.98
2.9952
2.971
2.9952
1,456.82
1,597,127,880,000
2.9952
2.9952
2.9772
2.9772
38.13
1,597,127,940,000
2.9949
2.9949
2.9949
2.9949
168
1,597,128,000,000
2.9949
2.9949
2.9949
2.9949
0
1,597,128,060,000
2.972
2.972
2.9054
2.9054
450
1,597,128,120,000
3.0288
3.0288
3.0288
3.0288
335.77
1,597,128,180,000
2.9665
2.9665
2.9665
2.9665
207.46
1,597,128,240,000
2.9665
2.9665
2.9665
2.9665
0
1,597,128,300,000
3.0033
3.0033
2.9712
2.9712
183.37
1,597,128,360,000
2.9712
2.9712
2.9712
2.9712
0
1,597,128,420,000
3.0032
3.0032
3.0032
3.0032
12.1
1,597,128,480,000
3.0032
3.0032
3.0032
3.0032
0
1,597,128,540,000
3.0032
3.0032
3.0032
3.0032
0
1,597,128,600,000
2.9703
3.0032
2.9703
3.0032
192.72
1,597,128,660,000
3.0032
3.0032
3.0032
3.0032
0
1,597,128,720,000
3.0113
3.0113
3.0032
3.0032
197.2
1,597,128,780,000
2.9707
3
2.9707
3
220.2
1,597,128,840,000
3
3
3
3
100
1,597,128,900,000
2.9701
2.9701
2.9701
2.9701
18.11
1,597,128,960,000
2.9701
2.9701
2.9701
2.9701
0
1,597,129,020,000
2.9703
2.9704
2.9515
2.9515
959.99
1,597,129,080,000
2.9515
2.9515
2.9515
2.9515
0
1,597,129,140,000
2.9515
2.9515
2.9515
2.9515
12
1,597,129,200,000
2.9515
2.9643
2.9515
2.9643
798.11
1,597,129,260,000
2.9712
2.9712
2.9712
2.9712
7
1,597,129,320,000
2.9712
2.9712
2.9712
2.9712
0
1,597,129,380,000
3.0122
3.0122
3.0122
3.0122
51.47
1,597,129,440,000
3.0122
3.0122
3.0122
3.0122
0
1,597,129,500,000
3.0122
3.0122
3.0122
3.0122
0
1,597,129,560,000
3.0122
3.0122
3
3
42.71
1,597,129,620,000
3
3
3
3
0
1,597,129,680,000
3.0194
3.0194
3.0037
3.0037
1,311.53
1,597,129,740,000
3.0037
3.0037
3.0037
3.0037
0
1,597,129,800,000
3.0037
3.0037
3.0037
3.0037
0
1,597,129,860,000
3.0037
3.0037
3.0037
3.0037
0
1,597,129,920,000
3.0194
3.1355
3.0194
3.1355
1,696.26
1,597,129,980,000
3.038
3.1355
3.0151
3.0301
1,519.54
1,597,130,040,000
3.0446
3.0446
3.03
3.031
296.82
1,597,130,100,000
3.0308
3.0311
3.0308
3.031
143.1
1,597,130,160,000
3.031
3.031
3.0301
3.0307
222.28
1,597,130,220,000
3.0307
3.043
3.0307
3.043
1,792.03
1,597,130,280,000
3.043
3.043
3.043
3.043
0
1,597,130,340,000
3.043
3.043
3.0314
3.0423
107.57
1,597,130,400,000
3.0423
3.0423
3.0316
3.0316
48.53
1,597,130,460,000
3.0316
3.0316
3.0316
3.0316
0
1,597,130,520,000
3.0318
3.0318
3.0318
3.0318
56.77
1,597,130,580,000
3.0318
3.0318
3.0318
3.0318
0
1,597,130,640,000
3.0322
3.0543
3.0314
3.0314
2,638.01
1,597,130,700,000
3.0314
3.0314
3.0314
3.0314
418
1,597,130,760,000
3.0314
3.0345
3.0311
3.0345
349.32
1,597,130,820,000
3.0311
3.0463
3.031
3.0463
806.13
1,597,130,880,000
3.0345
3.0345
3.0345
3.0345
757.59
1,597,130,940,000
3.0345
3.0345
3.0345
3.0345
0
1,597,131,000,000
3.0345
3.0345
3.0345
3.0345
0
1,597,131,060,000
3.104
3.104
3.0374
3.0374
154.57
1,597,131,120,000
3.0345
3.0345
3.0345
3.0345
1,159.74
1,597,131,180,000
3.0476
3.1089
3.0476
3.1089
115.32
1,597,131,240,000
3.031
3.0311
3.0068
3.0068
445.39
1,597,131,300,000
3.0066
3.0424
2.978
2.993
7,906.35
1,597,131,360,000
2.993
2.993
2.993
2.993
0
1,597,131,420,000
2.993
2.993
2.993
2.993
0
1,597,131,480,000
2.9695
2.9695
2.9695
2.9695
17.92
1,597,131,540,000
2.9695
2.9695
2.9695
2.9695
234.21
End of preview. Expand in Data Studio

SOL-USDT 1-Minute Candles

Full-history minute-resolution OHLCV candlestick data for the SOL-USDT trading pair (Solana), from 2020-08-11T06:00:00Z to 2026-08-13T23:59:00Z (3,157,575 candles, UTC). Covers the pair's entire listed history from first traded minute 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 (SOL)

Each row is one 1-minute 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 minutes correspond to periods with no traded activity (no candle was produced for those minutes).

Load

from datasets import load_dataset

ds = load_dataset("humblefool06/sol-usdt-1m-candles", split="train")

Or directly from the JSONL file:

from datasets import load_dataset

ds = load_dataset("json", data_files="data/sol_usdt_1m.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
30