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Datasets:
Torch-Trade
/
ethusdt_spot_1m_05_2021_to_03_2026

Tasks:
Time Series Forecasting
Reinforcement Learning
Modalities:
Tabular
Formats:
parquet
Size:
1M - 10M
Tags:
finance
cryptocurrency
ethereum
trading
ohlcv
binance
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
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timestamp
timestamp[us]date
2021-05-01 00:00:00
2026-02-28 23:59:00
open
float64
886
4.95k
high
float64
892
4.96k
low
float64
882
4.95k
close
float64
886
4.95k
volume
float64
0
41.9k
2021-05-01T00:00:00
2,772.42
2,772.64
2,769.4
2,769.4
486.53484
2021-05-01T00:01:00
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2021-05-01T00:02:00
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2021-05-01T00:03:00
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888.33322
2021-05-01T00:04:00
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2021-05-01T00:05:00
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2,772.17
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2021-05-01T00:06:00
2,772.17
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2021-05-01T00:07:00
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2021-05-01T00:08:00
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2021-05-01T00:09:00
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2021-05-01T00:10:00
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2021-05-01T00:12:00
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2021-05-01T00:13:00
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2021-05-01T00:17:00
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2021-05-01T00:19:00
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2021-05-01T00:20:00
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2021-05-01T00:21:00
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2021-05-01T00:22:00
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2021-05-01T00:23:00
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2021-05-01T00:24:00
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2021-05-01T00:25:00
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2021-05-01T00:26:00
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2021-05-01T00:27:00
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385.2019
2021-05-01T00:28:00
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2021-05-01T00:29:00
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2021-05-01T00:30:00
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2021-05-01T00:33:00
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2021-05-01T00:34:00
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2021-05-01T00:35:00
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2021-05-01T00:36:00
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2021-05-01T00:37:00
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2021-05-01T00:38:00
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447.12037
2021-05-01T00:39:00
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2021-05-01T00:40:00
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485.86891
2021-05-01T00:41:00
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2021-05-01T00:42:00
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2021-05-01T00:43:00
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209.22058
2021-05-01T00:44:00
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312.1514
2021-05-01T00:45:00
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275.49085
2021-05-01T00:46:00
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381.53083
2021-05-01T00:47:00
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2021-05-01T00:49:00
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2021-05-01T00:50:00
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2021-05-01T00:51:00
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2021-05-01T00:52:00
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2021-05-01T00:53:00
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2021-05-01T00:54:00
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2021-05-01T00:55:00
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214.8592
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151.20105
2021-05-01T00:58:00
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2021-05-01T00:59:00
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2021-05-01T01:00:00
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2021-05-01T01:02:00
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480.46041
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2021-05-01T01:04:00
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386.1781
2021-05-01T01:06:00
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2021-05-01T01:07:00
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2021-05-01T01:08:00
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308.84058
2021-05-01T01:09:00
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2021-05-01T01:10:00
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2021-05-01T01:13:00
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163.88994
2021-05-01T01:15:00
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2021-05-01T01:16:00
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2021-05-01T01:17:00
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198.92888
2021-05-01T01:18:00
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194.24165
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392.62785
2021-05-01T01:33:00
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2,763.01
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293.08393
2021-05-01T01:34:00
2,763.99
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2,764.99
196.22945
2021-05-01T01:35:00
2,764.99
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183.31112
2021-05-01T01:36:00
2,767.55
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2021-05-01T01:37:00
2,770.82
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2021-05-01T01:38:00
2,775.37
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524.27268
2021-05-01T01:39:00
2,773.9
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320.09874
End of preview. Expand in Data Studio

ETHUSDT Spot 1-Minute OHLCV (May 2021 - Mar 2026)

Price History

Overview

1-minute OHLCV candlestick data for the ETH/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 ETHUSDT spot (Binance maintenance)
2021-09-29 07:00-08:59 Bybit API 120 bars filled from Bybit ETHUSDT spot (Binance maintenance)
2023-03-24 12:40-13:59 Bybit API 80 bars filled from Bybit ETHUSDT 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 (ETH)

Statistics

Metric Value
Start price $2,769.40
End price $1,964.51
Min price $886.03
Max price $4,954.64
Return -29.1%

Data Quality

No gaps -- the dataset is 100% complete with no missing minutes.

Why start at May 2021?

Binance ETHUSDT 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 ETHUSDT 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 ETHUSDT spot. Bybit prices closely track Binance but may differ by a few dollars.

Usage 

from datasets import load_dataset
import pandas as pd

ds = load_dataset("Torch-Trade/ethusdt_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.

Downloads last month
12
Size of downloaded dataset files:
72.8 MB
Size of the auto-converted Parquet files:
72.8 MB
Number of rows:
2,541,600