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timestamp timestamp[us]date 2021-05-01 00:00:00 2026-02-28 23:59:00 | open float64 15.5k 126k | high float64 15.5k 126k | low float64 15.5k 126k | close float64 15.5k 126k | volume float64 0 5.88k |
|---|---|---|---|---|---|
2021-05-01T00:00:00 | 57,697.25 | 57,697.26 | 57,533.75 | 57,545.06 | 106.991943 |
2021-05-01T00:01:00 | 57,545.06 | 57,549.99 | 57,421.05 | 57,542.62 | 139.034744 |
2021-05-01T00:02:00 | 57,542.64 | 57,719.82 | 57,542.62 | 57,703.1 | 84.742481 |
2021-05-01T00:03:00 | 57,702.87 | 57,745.94 | 57,696.75 | 57,710.26 | 47.611925 |
2021-05-01T00:04:00 | 57,710.25 | 57,791.31 | 57,710.25 | 57,777.03 | 53.78841 |
2021-05-01T00:05:00 | 57,777.02 | 57,832.13 | 57,768.78 | 57,795.77 | 47.383387 |
2021-05-01T00:06:00 | 57,798.2 | 57,826.81 | 57,715.29 | 57,770.62 | 86.435493 |
2021-05-01T00:07:00 | 57,770.63 | 57,830.1 | 57,745.84 | 57,800.5 | 146.213 |
2021-05-01T00:08:00 | 57,800.51 | 57,861.98 | 57,775.03 | 57,861.09 | 48.533523 |
2021-05-01T00:09:00 | 57,861.1 | 57,920 | 57,861.09 | 57,869.54 | 61.289702 |
2021-05-01T00:10:00 | 57,869.54 | 58,000 | 57,857.17 | 57,969.7 | 236.920543 |
2021-05-01T00:11:00 | 57,964.27 | 57,998.97 | 57,900 | 57,964.9 | 77.211967 |
2021-05-01T00:12:00 | 57,964.9 | 58,000 | 57,942.48 | 57,999.99 | 110.925003 |
2021-05-01T00:13:00 | 57,999.99 | 58,088 | 57,905.27 | 57,926.84 | 150.336034 |
2021-05-01T00:14:00 | 57,926.83 | 57,983.27 | 57,913.42 | 57,968.16 | 69.70872 |
2021-05-01T00:15:00 | 57,968.15 | 57,982.5 | 57,781.42 | 57,809.54 | 83.979678 |
2021-05-01T00:16:00 | 57,809.54 | 57,920.28 | 57,802.93 | 57,849.04 | 42.507867 |
2021-05-01T00:17:00 | 57,849.03 | 57,980.01 | 57,840.79 | 57,934.16 | 45.393594 |
2021-05-01T00:18:00 | 57,934.17 | 58,037.68 | 57,930.48 | 58,005.22 | 58.922979 |
2021-05-01T00:19:00 | 58,005.22 | 58,083.84 | 58,005.22 | 58,076.17 | 49.74835 |
2021-05-01T00:20:00 | 58,073.27 | 58,087.92 | 58,000 | 58,000.01 | 43.725873 |
2021-05-01T00:21:00 | 58,000.01 | 58,038.53 | 58,000 | 58,014.97 | 39.068531 |
2021-05-01T00:22:00 | 58,014.98 | 58,021.76 | 57,963 | 57,980.18 | 54.211245 |
2021-05-01T00:23:00 | 57,980.18 | 58,049.99 | 57,980 | 58,038.99 | 56.692178 |
2021-05-01T00:24:00 | 58,039 | 58,045.37 | 57,980.15 | 58,004.86 | 40.084067 |
2021-05-01T00:25:00 | 58,004.85 | 58,011.56 | 57,938.72 | 57,969.04 | 47.957242 |
2021-05-01T00:26:00 | 57,969.04 | 57,969.34 | 57,918.96 | 57,956.32 | 47.324936 |
2021-05-01T00:27:00 | 57,956.32 | 58,064.82 | 57,956.3 | 58,055.54 | 46.207171 |
2021-05-01T00:28:00 | 58,058.52 | 58,069.68 | 57,972.01 | 58,004.11 | 63.40519 |
2021-05-01T00:29:00 | 58,004.12 | 58,078.04 | 58,001.33 | 58,043.34 | 31.15765 |
2021-05-01T00:30:00 | 58,043.33 | 58,065 | 58,006.22 | 58,027.74 | 46.438791 |
2021-05-01T00:31:00 | 58,029.78 | 58,043.57 | 57,924.44 | 57,924.44 | 69.892993 |
2021-05-01T00:32:00 | 57,924.69 | 57,958 | 57,920.34 | 57,945.24 | 41.860603 |
2021-05-01T00:33:00 | 57,945.24 | 57,954.14 | 57,900.46 | 57,900.47 | 57.613057 |
2021-05-01T00:34:00 | 57,900.46 | 57,924.99 | 57,876.01 | 57,889.05 | 47.171708 |
2021-05-01T00:35:00 | 57,889.05 | 57,962.19 | 57,870.86 | 57,894.91 | 70.340724 |
2021-05-01T00:36:00 | 57,894.91 | 57,903.96 | 57,875 | 57,880.55 | 34.042593 |
2021-05-01T00:37:00 | 57,880.52 | 57,902.91 | 57,852.64 | 57,880.01 | 43.584618 |
2021-05-01T00:38:00 | 57,880.01 | 57,941.34 | 57,869.23 | 57,938.87 | 37.980771 |
2021-05-01T00:39:00 | 57,938.87 | 57,938.88 | 57,903.85 | 57,921.74 | 28.128264 |
2021-05-01T00:40:00 | 57,916.05 | 57,916.05 | 57,781.87 | 57,843.45 | 68.678716 |
2021-05-01T00:41:00 | 57,843.45 | 57,877.34 | 57,829.44 | 57,840.06 | 33.721387 |
2021-05-01T00:42:00 | 57,840.06 | 57,850 | 57,830.6 | 57,831.84 | 34.230818 |
2021-05-01T00:43:00 | 57,831.84 | 57,844.11 | 57,800 | 57,842.62 | 31.859166 |
2021-05-01T00:44:00 | 57,842.62 | 57,846.96 | 57,800 | 57,809.4 | 73.346725 |
2021-05-01T00:45:00 | 57,810.42 | 57,874.6 | 57,701.96 | 57,794.18 | 84.511994 |
2021-05-01T00:46:00 | 57,794.18 | 57,842.02 | 57,794.18 | 57,808.14 | 29.211082 |
2021-05-01T00:47:00 | 57,808.14 | 57,851.56 | 57,800.01 | 57,851.55 | 23.600496 |
2021-05-01T00:48:00 | 57,851.55 | 57,876.51 | 57,838.86 | 57,867.98 | 30.37842 |
2021-05-01T00:49:00 | 57,867.97 | 57,907.31 | 57,865.01 | 57,865.75 | 29.516585 |
2021-05-01T00:50:00 | 57,865.75 | 57,884.69 | 57,854.03 | 57,860.15 | 56.248649 |
2021-05-01T00:51:00 | 57,860.15 | 57,860.16 | 57,790.49 | 57,795.11 | 29.055755 |
2021-05-01T00:52:00 | 57,795.1 | 57,795.11 | 57,700.12 | 57,726.62 | 38.049617 |
2021-05-01T00:53:00 | 57,725.44 | 57,744.01 | 57,662.85 | 57,713.46 | 44.184969 |
2021-05-01T00:54:00 | 57,713.46 | 57,713.47 | 57,647 | 57,669.98 | 34.424586 |
2021-05-01T00:55:00 | 57,669.98 | 57,788.98 | 57,662.6 | 57,756.71 | 55.457009 |
2021-05-01T00:56:00 | 57,756.7 | 57,791.85 | 57,751.13 | 57,781 | 19.428649 |
2021-05-01T00:57:00 | 57,780.99 | 57,825.91 | 57,774.13 | 57,803.73 | 20.457678 |
2021-05-01T00:58:00 | 57,803.73 | 57,805.54 | 57,789.63 | 57,798.48 | 21.473188 |
2021-05-01T00:59:00 | 57,798.48 | 57,825 | 57,776.31 | 57,811.42 | 28.046479 |
2021-05-01T01:00:00 | 57,809.99 | 57,810 | 57,713.01 | 57,720 | 30.082555 |
2021-05-01T01:01:00 | 57,720 | 57,720.02 | 57,653.94 | 57,666.48 | 60.298049 |
2021-05-01T01:02:00 | 57,666.48 | 57,680 | 57,630.06 | 57,658.26 | 37.690674 |
2021-05-01T01:03:00 | 57,658.26 | 57,670 | 57,620.74 | 57,630 | 34.228282 |
2021-05-01T01:04:00 | 57,630 | 57,630.01 | 57,517.44 | 57,536.06 | 56.513228 |
2021-05-01T01:05:00 | 57,536.06 | 57,616.53 | 57,536.05 | 57,594.77 | 59.401594 |
2021-05-01T01:06:00 | 57,589.82 | 57,597.05 | 57,520 | 57,529.98 | 59.760729 |
2021-05-01T01:07:00 | 57,530 | 57,604.46 | 57,470.77 | 57,604.45 | 124.064628 |
2021-05-01T01:08:00 | 57,604.45 | 57,608.35 | 57,530 | 57,567.11 | 34.250113 |
2021-05-01T01:09:00 | 57,567.12 | 57,567.12 | 57,530 | 57,545.74 | 28.229708 |
2021-05-01T01:10:00 | 57,545.74 | 57,570 | 57,525.71 | 57,569.99 | 28.531791 |
2021-05-01T01:11:00 | 57,566.63 | 57,604.45 | 57,562 | 57,592.8 | 29.180564 |
2021-05-01T01:12:00 | 57,592.8 | 57,604.45 | 57,586.26 | 57,599.95 | 30.472615 |
2021-05-01T01:13:00 | 57,599.96 | 57,705.59 | 57,583.84 | 57,637.85 | 107.344323 |
2021-05-01T01:14:00 | 57,638.15 | 57,647.19 | 57,620.23 | 57,623.91 | 22.80748 |
2021-05-01T01:15:00 | 57,623.91 | 57,700 | 57,623.91 | 57,700 | 24.5109 |
2021-05-01T01:16:00 | 57,700.04 | 57,741.77 | 57,677.12 | 57,727.33 | 29.503836 |
2021-05-01T01:17:00 | 57,727.33 | 57,733.5 | 57,660.01 | 57,688.47 | 27.795458 |
2021-05-01T01:18:00 | 57,694.94 | 57,696.79 | 57,650.79 | 57,672.84 | 24.946794 |
2021-05-01T01:19:00 | 57,672.84 | 57,699.99 | 57,655.48 | 57,675 | 28.399695 |
2021-05-01T01:20:00 | 57,675 | 57,725 | 57,658.85 | 57,724.99 | 33.264845 |
2021-05-01T01:21:00 | 57,724.99 | 57,763.63 | 57,720.68 | 57,741.57 | 26.80103 |
2021-05-01T01:22:00 | 57,741.57 | 57,850 | 57,741.51 | 57,833.85 | 39.916278 |
2021-05-01T01:23:00 | 57,833.84 | 57,850 | 57,831.85 | 57,846.66 | 30.425353 |
2021-05-01T01:24:00 | 57,846.66 | 57,926.7 | 57,840.73 | 57,923.52 | 46.398993 |
2021-05-01T01:25:00 | 57,923.52 | 57,926.75 | 57,901.75 | 57,916.48 | 24.758242 |
2021-05-01T01:26:00 | 57,916.49 | 57,924.99 | 57,820.37 | 57,865.96 | 60.82829 |
2021-05-01T01:27:00 | 57,862.68 | 57,868.43 | 57,777 | 57,777.46 | 112.414856 |
2021-05-01T01:28:00 | 57,777.46 | 57,858.99 | 57,777 | 57,825.82 | 15.999477 |
2021-05-01T01:29:00 | 57,825.81 | 57,835 | 57,812.85 | 57,816.33 | 17.395343 |
2021-05-01T01:30:00 | 57,816.34 | 57,816.96 | 57,780.01 | 57,780.02 | 12.126712 |
2021-05-01T01:31:00 | 57,780.02 | 57,780.02 | 57,727.36 | 57,747.56 | 24.293524 |
2021-05-01T01:32:00 | 57,744.67 | 57,823.1 | 57,744.67 | 57,820.26 | 26.426996 |
2021-05-01T01:33:00 | 57,823.15 | 57,827 | 57,800 | 57,813.94 | 18.400421 |
2021-05-01T01:34:00 | 57,814.39 | 57,836.97 | 57,814.38 | 57,836.97 | 13.096402 |
2021-05-01T01:35:00 | 57,836.97 | 57,916 | 57,836.96 | 57,916 | 37.868475 |
2021-05-01T01:36:00 | 57,915.99 | 57,993 | 57,846.12 | 57,992.99 | 54.828234 |
2021-05-01T01:37:00 | 57,991.55 | 58,016.75 | 57,968.41 | 58,008.64 | 57.511973 |
2021-05-01T01:38:00 | 58,008.64 | 58,008.65 | 57,869.76 | 57,973.91 | 44.028379 |
2021-05-01T01:39:00 | 57,973.91 | 57,979.29 | 57,940.12 | 57,940.13 | 16.233779 |
End of preview. Expand in Data Studio
BTCUSDT Spot 1-Minute OHLCV (May 2021 - Mar 2026)
Overview
1-minute OHLCV candlestick data for the BTC/USDT spot pair on Binance, covering May 1, 2021 to February 28, 2026.
- Rows: 2,541,600
- Completeness: 100.00%
Sources
| Period | Source | Notes |
|---|---|---|
| Full dataset | Binance Data Collection | Monthly kline ZIPs |
| 2021-08-13 02:00-06:29 | Bybit API | 270 bars filled from Bybit BTCUSDT spot (Binance maintenance) |
| 2021-09-29 07:00-08:59 | Bybit API | 120 bars filled from Bybit BTCUSDT spot (Binance maintenance) |
| 2023-03-24 12:40-13:59 | Bybit API | 80 bars filled from Bybit BTCUSDT spot (Binance maintenance) |
Columns
| Column | Type | Description |
|---|---|---|
timestamp |
datetime64[ns] |
Candle open time (UTC) |
open |
float64 |
Opening price (USDT) |
high |
float64 |
Highest price in the candle |
low |
float64 |
Lowest price in the candle |
close |
float64 |
Closing price (USDT) |
volume |
float64 |
Trading volume (BTC) |
Statistics
| Metric | Value |
|---|---|
| Start price | $57,545.06 |
| End price | $66,973.26 |
| Min price | $15,513.84 |
| Max price | $126,114.50 |
| Return | +16.4% |
Data Quality
No gaps -- the dataset is 100% complete with no missing minutes.
Why start at May 2021?
Binance BTCUSDT 1-minute data is available from August 2017, but the earlier period (2017-2021) contains 31 maintenance gaps totaling 8,091 missing bars. Bybit minute-level data for BTCUSDT only starts from August 2021, making those earlier gaps unfillable. May 2021 is the earliest month after which all gaps can be backfilled from Bybit, providing a fully contiguous dataset.
Backfilled bars
470 bars across three Binance maintenance windows were sourced from Bybit BTCUSDT spot. Bybit prices closely track Binance but may differ by a few dollars.
Related datasets
Torch-Trade/btcusdt_spot_1m_03_2023_to_03_2026-- shorter range (Mar 2023 - Feb 2026) but includes the Binance zero-fee promotion volume anomaly documentation.
Usage
from datasets import load_dataset
import pandas as pd
ds = load_dataset("Torch-Trade/btcusdt_spot_1m_05_2021_to_03_2026")
df = ds["train"].to_pandas()
df["timestamp"] = pd.to_datetime(df["timestamp"])
print(df.shape) # (2541600, 6)
print(df.head())
License
MIT -- price data sourced from Binance and Bybit public data repositories.
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