Datasets:
Tasks:
Time Series Forecasting
Modalities:
Tabular
Formats:
json
Languages:
English
Size:
10K - 100K
License:
Search is not available for this dataset
timestamp int64 1,503B 1,787B | open float64 82.2 4.85k | high float64 83.7 4.96k | low float64 81.8 4.8k | close float64 82.2 4.85k | volume float64 67.4 1.53M |
|---|---|---|---|---|---|
1,502,942,400,000 | 301.13 | 307.96 | 298 | 307.96 | 1,561.95305 |
1,502,956,800,000 | 307.95 | 312 | 307 | 308.95 | 1,177.71088 |
1,502,971,200,000 | 308.95 | 310.51 | 303.56 | 307.06 | 1,882.05267 |
1,502,985,600,000 | 307.74 | 312.18 | 298.21 | 301.6 | 1,208.05192 |
1,503,000,000,000 | 301.6 | 310.85 | 299.01 | 302 | 1,200.94182 |
1,503,014,400,000 | 302 | 306.47 | 295.19 | 301.4 | 1,690.58319 |
1,503,028,800,000 | 301.4 | 309.49 | 298.41 | 306.24 | 1,732.52616 |
1,503,043,200,000 | 306.24 | 311.79 | 303.22 | 307.78 | 1,213.01283 |
1,503,057,600,000 | 307.78 | 310.29 | 296.32 | 298.8 | 1,358.99471 |
1,503,072,000,000 | 298.8 | 301.11 | 287.37 | 293.83 | 1,620.71499 |
1,503,086,400,000 | 295.46 | 295.46 | 283.94 | 293.96 | 1,922.01458 |
1,503,100,800,000 | 293.31 | 299.84 | 292.83 | 293.22 | 282.19297 |
1,503,115,200,000 | 294.69 | 299.9 | 287.01 | 290.16 | 235.2921 |
1,503,129,600,000 | 290.16 | 293.17 | 278 | 282.58 | 1,139.03045 |
1,503,144,000,000 | 281.39 | 290.85 | 279.56 | 288.64 | 288.29994 |
1,503,158,400,000 | 288.64 | 295 | 284.16 | 293.31 | 127.38589 |
1,503,172,800,000 | 290.6 | 294.9 | 288.8 | 290.91 | 73.99638 |
1,503,187,200,000 | 289.41 | 292.42 | 285.96 | 292.41 | 68.40092 |
1,503,201,600,000 | 287.97 | 295.56 | 285.39 | 292.08 | 252.26228 |
1,503,216,000,000 | 293.02 | 296.89 | 282.85 | 295 | 240.75968 |
1,503,230,400,000 | 295 | 296.92 | 292.28 | 295.1 | 67.3647 |
1,503,244,800,000 | 295.1 | 300.53 | 293.28 | 297.88 | 361.56695 |
1,503,259,200,000 | 297.87 | 300.53 | 294.51 | 299.1 | 1,519.78418 |
1,503,273,600,000 | 299.1 | 300.9 | 294.6 | 299.85 | 723.80595 |
1,503,288,000,000 | 300.03 | 329.49 | 299.11 | 318.5 | 888.57113 |
1,503,302,400,000 | 317.48 | 333.66 | 312.6 | 331.53 | 207.37686 |
1,503,316,800,000 | 331.33 | 346.52 | 325.42 | 334.94 | 1,227.44025 |
1,503,331,200,000 | 334.34 | 342.72 | 316.82 | 329.71 | 1,715.07272 |
1,503,345,600,000 | 332.27 | 332.74 | 316.12 | 323.29 | 457.17851 |
1,503,360,000,000 | 321.04 | 330.41 | 280 | 280 | 809.61524 |
1,503,374,400,000 | 144.21 | 310.24 | 144.21 | 300.35 | 707.47249 |
1,503,388,800,000 | 300.35 | 313.16 | 296 | 308.03 | 2,176.12505 |
1,503,403,200,000 | 311.16 | 311.24 | 301.48 | 308.39 | 1,756.8306 |
1,503,417,600,000 | 305.08 | 320.76 | 305.08 | 307.03 | 1,304.2511 |
1,503,432,000,000 | 307.03 | 313.99 | 305.08 | 309.8 | 1,202.0564 |
1,503,446,400,000 | 312.25 | 319.78 | 309.41 | 317.26 | 1,088.33347 |
1,503,460,800,000 | 315.45 | 324.99 | 315.35 | 319.06 | 1,376.06321 |
1,503,475,200,000 | 319.06 | 324.51 | 318.02 | 319.2 | 1,285.87403 |
1,503,489,600,000 | 319.2 | 322 | 313.75 | 319.2 | 2,106.38559 |
1,503,504,000,000 | 317.87 | 322.34 | 315.53 | 318.57 | 1,635.49673 |
1,503,518,400,000 | 318.57 | 320.2 | 312.05 | 315.74 | 1,173.57266 |
1,503,532,800,000 | 315.74 | 318.45 | 314.01 | 315.22 | 1,061.17398 |
1,503,547,200,000 | 315.22 | 322.36 | 314.31 | 318.54 | 1,074.07592 |
1,503,561,600,000 | 318.54 | 323.61 | 316.14 | 323.61 | 1,670.50319 |
1,503,576,000,000 | 322.51 | 328.04 | 317.9 | 321.2 | 1,138.04846 |
1,503,590,400,000 | 323.67 | 325.35 | 318.97 | 321.23 | 909.12592 |
1,503,604,800,000 | 321.23 | 326.33 | 318.97 | 323.42 | 900.34445 |
1,503,619,200,000 | 323.42 | 330.44 | 323.42 | 326.55 | 1,406.8485 |
1,503,633,600,000 | 326.55 | 335 | 326.55 | 330.29 | 1,115.60692 |
1,503,648,000,000 | 330.29 | 335.41 | 327.4 | 331.26 | 1,199.42604 |
1,503,662,400,000 | 329.68 | 335.33 | 328.72 | 333.15 | 1,961.178 |
1,503,676,800,000 | 335.29 | 338.28 | 325.42 | 328.71 | 751.25954 |
1,503,691,200,000 | 329.91 | 332.27 | 324.9 | 327.24 | 691.65062 |
1,503,705,600,000 | 327.24 | 332.27 | 323.41 | 323.46 | 569.57801 |
1,503,720,000,000 | 323.46 | 329.69 | 323.41 | 327.9 | 1,070.6985 |
1,503,734,400,000 | 328.45 | 331.25 | 326.69 | 327.89 | 856.541 |
1,503,748,800,000 | 328.25 | 335.44 | 324.06 | 327 | 940.58482 |
1,503,763,200,000 | 327.01 | 334.17 | 326.7 | 331.19 | 803.00095 |
1,503,777,600,000 | 332.68 | 334.17 | 329.33 | 330.79 | 637.28193 |
1,503,792,000,000 | 332.18 | 338.28 | 330.79 | 331.62 | 1,056.62234 |
1,503,806,400,000 | 334.5 | 338.29 | 331.49 | 332.77 | 689.1668 |
1,503,820,800,000 | 332.77 | 338.42 | 330.73 | 333.94 | 857.24989 |
1,503,835,200,000 | 333.93 | 336.99 | 331.88 | 334.67 | 665.54231 |
1,503,849,600,000 | 335.04 | 341.47 | 332.97 | 339.64 | 795.13177 |
1,503,864,000,000 | 341.47 | 348.13 | 337.12 | 348.13 | 571.72404 |
1,503,878,400,000 | 348.11 | 351 | 343.44 | 343.44 | 740.63428 |
1,503,892,800,000 | 343.43 | 343.69 | 331.95 | 338.77 | 1,139.94898 |
1,503,907,200,000 | 340.89 | 342.86 | 336.54 | 341.9 | 636.04761 |
1,503,921,600,000 | 339.62 | 347.41 | 339.34 | 341.83 | 587.29518 |
1,503,936,000,000 | 341.83 | 347.42 | 340.49 | 344.3 | 759.06227 |
1,503,950,400,000 | 342.54 | 348.5 | 342.16 | 346 | 416.19338 |
1,503,964,800,000 | 347 | 353.23 | 346 | 350.03 | 276.84576 |
1,503,979,200,000 | 351.19 | 360.79 | 350.02 | 354.18 | 381.6272 |
1,503,993,600,000 | 354.17 | 367.13 | 354.01 | 356.75 | 463.44028 |
1,504,008,000,000 | 358.1 | 367.4 | 358.1 | 364.57 | 737.9557 |
1,504,022,400,000 | 365.74 | 373.66 | 362.79 | 367.44 | 694.84255 |
1,504,036,800,000 | 367.44 | 377.6 | 367.36 | 374.7 | 477.42276 |
1,504,051,200,000 | 374.7 | 377.8 | 367.37 | 373 | 344.29846 |
1,504,065,600,000 | 373 | 393.71 | 372.92 | 378.14 | 452.43879 |
1,504,080,000,000 | 378.16 | 384.33 | 362.05 | 375.9 | 1,349.92146 |
1,504,094,400,000 | 373.01 | 385.33 | 370.49 | 379.38 | 1,027.5116 |
1,504,108,800,000 | 379.38 | 389.8 | 378.72 | 383.38 | 678.10192 |
1,504,123,200,000 | 385.34 | 387.29 | 380.74 | 385.93 | 594.32385 |
1,504,137,600,000 | 384.64 | 384.64 | 377.78 | 383.51 | 676.3998 |
1,504,152,000,000 | 383.66 | 385.94 | 379.21 | 383.14 | 482.67689 |
1,504,166,400,000 | 381.89 | 387.42 | 378.85 | 387.42 | 788.3641 |
1,504,180,800,000 | 385.82 | 389.36 | 383.48 | 383.76 | 905.28394 |
1,504,195,200,000 | 384.38 | 387.39 | 383.13 | 384.45 | 878.88372 |
1,504,209,600,000 | 385.1 | 388.25 | 383.19 | 384.79 | 704.2601 |
1,504,224,000,000 | 386.44 | 394.39 | 384.79 | 390.86 | 752.09698 |
1,504,238,400,000 | 392.65 | 394.27 | 383.18 | 388.4 | 754.44472 |
1,504,252,800,000 | 389.48 | 393.08 | 387.46 | 389.64 | 865.19825 |
1,504,267,200,000 | 389.56 | 391.2 | 385.88 | 387.01 | 827.84309 |
1,504,281,600,000 | 387.91 | 393.4 | 386.05 | 388.08 | 797.61671 |
1,504,296,000,000 | 389.62 | 394.02 | 388.08 | 388.46 | 201.48459 |
1,504,310,400,000 | 388.58 | 394.32 | 373.66 | 378.52 | 916.21546 |
1,504,324,800,000 | 378.51 | 379.6 | 347 | 363.7 | 1,906.75794 |
1,504,339,200,000 | 364.83 | 364.84 | 350.42 | 357 | 1,296.25993 |
1,504,353,600,000 | 358.25 | 360.28 | 327.09 | 341.72 | 1,569.16565 |
1,504,368,000,000 | 341.72 | 345.27 | 329.73 | 336.18 | 1,353.98239 |
End of preview. Expand in Data Studio
ETH-USDT 4-Hour Candles
Full-history 4-Hour-resolution OHLCV candlestick data for the ETH-USDT trading pair (Ethereum), from 2017-08-17T04:00:00Z to 2026-08-13T20:00:00Z (19,686 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 (ETH) |
Each row is one 4h 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)andlow <= 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/eth-usdt-4h-candles", split="train")
Or directly from the JSONL file:
from datasets import load_dataset
ds = load_dataset("json", data_files="data/eth_usdt_4h.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.
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