date
stringlengths 19
19
| open_price
float64 1.52k
4.09k
| high_price
float64 1.52k
4.09k
| low_price
float64 1.52k
4.09k
| close_price
float64 1.52k
4.09k
| volume
float64 1.3
19.4k
|
---|---|---|---|---|---|
2023-05-10 00:00:00 | 1,846.53 | 1,846.81 | 1,846.52 | 1,846.65 | 297.6781 |
2023-05-10 00:01:00 | 1,846.66 | 1,847.21 | 1,846.6 | 1,846.86 | 229.9185 |
2023-05-10 00:02:00 | 1,846.87 | 1,846.87 | 1,846.34 | 1,846.41 | 62.5588 |
2023-05-10 00:03:00 | 1,846.4 | 1,846.89 | 1,846.4 | 1,846.73 | 62.9539 |
2023-05-10 00:04:00 | 1,846.73 | 1,846.97 | 1,846.6 | 1,846.96 | 57.2875 |
2023-05-10 00:05:00 | 1,846.96 | 1,846.97 | 1,846.96 | 1,846.97 | 29.9005 |
2023-05-10 00:06:00 | 1,846.97 | 1,846.97 | 1,846.4 | 1,846.67 | 108.7754 |
2023-05-10 00:07:00 | 1,846.66 | 1,848.25 | 1,846.66 | 1,848.25 | 199.8151 |
2023-05-10 00:08:00 | 1,848.25 | 1,848.25 | 1,847.06 | 1,847.15 | 128.1168 |
2023-05-10 00:09:00 | 1,847.15 | 1,847.4 | 1,847.15 | 1,847.25 | 52.2493 |
2023-05-10 00:10:00 | 1,847.25 | 1,847.47 | 1,847.24 | 1,847.46 | 67.8319 |
2023-05-10 00:11:00 | 1,847.46 | 1,848.2 | 1,847.33 | 1,848.2 | 102.4872 |
2023-05-10 00:12:00 | 1,848.2 | 1,848.6 | 1,848.12 | 1,848.59 | 237.3237 |
2023-05-10 00:13:00 | 1,848.6 | 1,848.72 | 1,848.16 | 1,848.39 | 149.0455 |
2023-05-10 00:14:00 | 1,848.39 | 1,848.51 | 1,848.39 | 1,848.5 | 17.327 |
2023-05-10 00:15:00 | 1,848.51 | 1,849.71 | 1,848.5 | 1,849.59 | 171.5202 |
2023-05-10 00:16:00 | 1,849.59 | 1,849.65 | 1,848.01 | 1,848.28 | 131.7659 |
2023-05-10 00:17:00 | 1,848.27 | 1,849.99 | 1,848.27 | 1,849.96 | 327.7457 |
2023-05-10 00:18:00 | 1,849.96 | 1,851.48 | 1,849.95 | 1,851.36 | 389.0686 |
2023-05-10 00:19:00 | 1,851.37 | 1,852.89 | 1,851.36 | 1,852.6 | 423.1326 |
2023-05-10 00:20:00 | 1,852.6 | 1,852.87 | 1,852.12 | 1,852.3 | 152.0521 |
2023-05-10 00:21:00 | 1,852.29 | 1,853.57 | 1,852.2 | 1,853.51 | 192.0791 |
2023-05-10 00:22:00 | 1,853.52 | 1,854.78 | 1,853.32 | 1,854.35 | 438.001 |
2023-05-10 00:23:00 | 1,854.36 | 1,855.44 | 1,853.71 | 1,855.16 | 794.0267 |
2023-05-10 00:24:00 | 1,855.17 | 1,855.48 | 1,853.75 | 1,853.93 | 363.6911 |
2023-05-10 00:25:00 | 1,853.93 | 1,855.9 | 1,853.93 | 1,855.21 | 344.2118 |
2023-05-10 00:26:00 | 1,855.2 | 1,855.21 | 1,852.4 | 1,852.4 | 560.6332 |
2023-05-10 00:27:00 | 1,852.41 | 1,853.48 | 1,852.22 | 1,852.86 | 657.1174 |
2023-05-10 00:28:00 | 1,852.87 | 1,853.94 | 1,852.86 | 1,853.41 | 231.902 |
2023-05-10 00:29:00 | 1,853.4 | 1,855.4 | 1,853.4 | 1,855.08 | 275.4088 |
2023-05-10 00:30:00 | 1,855.08 | 1,855.59 | 1,853.3 | 1,853.74 | 567.6404 |
2023-05-10 00:31:00 | 1,853.74 | 1,853.75 | 1,848.92 | 1,850.08 | 518.4215 |
2023-05-10 00:32:00 | 1,850.08 | 1,852.8 | 1,850.08 | 1,852.28 | 175.8017 |
2023-05-10 00:33:00 | 1,852.28 | 1,852.47 | 1,850.52 | 1,850.52 | 286.7004 |
2023-05-10 00:34:00 | 1,850.52 | 1,851.92 | 1,850.52 | 1,851.31 | 334.0421 |
2023-05-10 00:35:00 | 1,851.3 | 1,851.59 | 1,851.2 | 1,851.39 | 108.4296 |
2023-05-10 00:36:00 | 1,851.39 | 1,852.19 | 1,850.08 | 1,851.01 | 526.5834 |
2023-05-10 00:37:00 | 1,851 | 1,851.97 | 1,850.4 | 1,851.74 | 444.3709 |
2023-05-10 00:38:00 | 1,851.74 | 1,851.8 | 1,851.01 | 1,851.35 | 253.5794 |
2023-05-10 00:39:00 | 1,851.34 | 1,851.35 | 1,849.23 | 1,850.46 | 317.4173 |
2023-05-10 00:40:00 | 1,850.46 | 1,850.51 | 1,849.91 | 1,850.08 | 123.1688 |
2023-05-10 00:41:00 | 1,850.08 | 1,851.64 | 1,849.75 | 1,851.21 | 229.4981 |
2023-05-10 00:42:00 | 1,851.21 | 1,852 | 1,851.15 | 1,851.84 | 284.5796 |
2023-05-10 00:43:00 | 1,851.85 | 1,851.98 | 1,851.46 | 1,851.47 | 291.3585 |
2023-05-10 00:44:00 | 1,851.47 | 1,852.01 | 1,851.46 | 1,852 | 64.4658 |
2023-05-10 00:45:00 | 1,852 | 1,852.01 | 1,849.4 | 1,849.4 | 225.8947 |
2023-05-10 00:46:00 | 1,849.4 | 1,849.9 | 1,849.34 | 1,849.9 | 103.9352 |
2023-05-10 00:47:00 | 1,849.89 | 1,849.93 | 1,849.66 | 1,849.87 | 107.8488 |
2023-05-10 00:48:00 | 1,849.87 | 1,851.73 | 1,849.87 | 1,851.64 | 85.4409 |
2023-05-10 00:49:00 | 1,851.64 | 1,851.65 | 1,851.54 | 1,851.64 | 56.204 |
2023-05-10 00:50:00 | 1,851.64 | 1,852.25 | 1,851.1 | 1,851.12 | 148.2387 |
2023-05-10 00:51:00 | 1,851.12 | 1,851.6 | 1,850.4 | 1,851.35 | 176.077 |
2023-05-10 00:52:00 | 1,851.35 | 1,852.14 | 1,851.33 | 1,851.86 | 115.4864 |
2023-05-10 00:53:00 | 1,851.87 | 1,852 | 1,851.74 | 1,852 | 59.0389 |
2023-05-10 00:54:00 | 1,852 | 1,852.02 | 1,851.5 | 1,851.51 | 135.8674 |
2023-05-10 00:55:00 | 1,851.5 | 1,851.51 | 1,850 | 1,850.01 | 70.482 |
2023-05-10 00:56:00 | 1,850.01 | 1,851.64 | 1,850 | 1,850.57 | 303.5947 |
2023-05-10 00:57:00 | 1,850.58 | 1,851.72 | 1,850.57 | 1,851.72 | 194.8646 |
2023-05-10 00:58:00 | 1,851.72 | 1,852 | 1,851.4 | 1,851.41 | 56.5741 |
2023-05-10 00:59:00 | 1,851.41 | 1,851.58 | 1,851.4 | 1,851.46 | 123.1523 |
2023-05-10 01:00:00 | 1,851.46 | 1,852.61 | 1,851.33 | 1,852.29 | 318.1021 |
2023-05-10 01:01:00 | 1,852.29 | 1,852.58 | 1,852.28 | 1,852.29 | 113.0901 |
2023-05-10 01:02:00 | 1,852.29 | 1,852.9 | 1,852.29 | 1,852.89 | 159.3759 |
2023-05-10 01:03:00 | 1,852.89 | 1,853.17 | 1,852.89 | 1,853 | 71.9712 |
2023-05-10 01:04:00 | 1,852.99 | 1,853.58 | 1,852.99 | 1,853.57 | 310.3257 |
2023-05-10 01:05:00 | 1,853.58 | 1,853.7 | 1,852.52 | 1,852.52 | 207.3866 |
2023-05-10 01:06:00 | 1,852.53 | 1,852.53 | 1,851.6 | 1,851.61 | 130.8153 |
2023-05-10 01:07:00 | 1,851.61 | 1,851.61 | 1,851.13 | 1,851.22 | 148.3288 |
2023-05-10 01:08:00 | 1,851.22 | 1,852.44 | 1,851.22 | 1,852.44 | 411.7401 |
2023-05-10 01:09:00 | 1,852.43 | 1,853.63 | 1,852.43 | 1,853.63 | 74.632 |
2023-05-10 01:10:00 | 1,853.63 | 1,853.63 | 1,853.41 | 1,853.42 | 22.0335 |
2023-05-10 01:11:00 | 1,853.41 | 1,854 | 1,853.41 | 1,853.54 | 161.7339 |
2023-05-10 01:12:00 | 1,853.55 | 1,853.99 | 1,853.41 | 1,853.98 | 203.5372 |
2023-05-10 01:13:00 | 1,853.98 | 1,853.99 | 1,852 | 1,852.01 | 547.8018 |
2023-05-10 01:14:00 | 1,852.01 | 1,852.01 | 1,851 | 1,851.79 | 1,339.3375 |
2023-05-10 01:15:00 | 1,851.79 | 1,851.97 | 1,851.6 | 1,851.6 | 57.858 |
2023-05-10 01:16:00 | 1,851.61 | 1,851.61 | 1,851.2 | 1,851.21 | 81.1912 |
2023-05-10 01:17:00 | 1,851.21 | 1,851.21 | 1,851.08 | 1,851.09 | 55.5753 |
2023-05-10 01:18:00 | 1,851.08 | 1,851.37 | 1,850.93 | 1,850.94 | 127.461 |
2023-05-10 01:19:00 | 1,850.94 | 1,850.94 | 1,850.2 | 1,850.29 | 90.235 |
2023-05-10 01:20:00 | 1,850.3 | 1,851.61 | 1,850.29 | 1,851.6 | 89.3424 |
2023-05-10 01:21:00 | 1,851.6 | 1,851.61 | 1,851.26 | 1,851.44 | 85.3352 |
2023-05-10 01:22:00 | 1,851.45 | 1,855.2 | 1,851.22 | 1,855.18 | 403.4062 |
2023-05-10 01:23:00 | 1,855.18 | 1,858.92 | 1,855.18 | 1,856.45 | 1,908.7718 |
2023-05-10 01:24:00 | 1,856.45 | 1,856.46 | 1,854.48 | 1,855.48 | 708.1222 |
2023-05-10 01:25:00 | 1,855.47 | 1,855.48 | 1,854.17 | 1,854.39 | 222.9657 |
2023-05-10 01:26:00 | 1,854.39 | 1,855.01 | 1,853.11 | 1,853.11 | 308.8919 |
2023-05-10 01:27:00 | 1,853.12 | 1,854.25 | 1,853.11 | 1,854.24 | 267.1014 |
2023-05-10 01:28:00 | 1,854.24 | 1,854.25 | 1,852.99 | 1,853.36 | 382.5857 |
2023-05-10 01:29:00 | 1,853.37 | 1,853.37 | 1,851.78 | 1,851.79 | 147.1931 |
2023-05-10 01:30:00 | 1,851.79 | 1,852.79 | 1,851.75 | 1,852.12 | 137.4433 |
2023-05-10 01:31:00 | 1,852.13 | 1,852.13 | 1,850.02 | 1,850.71 | 283.5609 |
2023-05-10 01:32:00 | 1,850.71 | 1,851.15 | 1,850.54 | 1,851.06 | 139.8403 |
2023-05-10 01:33:00 | 1,851.06 | 1,852.33 | 1,851.06 | 1,852.2 | 128.3304 |
2023-05-10 01:34:00 | 1,852.2 | 1,852.2 | 1,851.16 | 1,851.76 | 299.1147 |
2023-05-10 01:35:00 | 1,851.75 | 1,852 | 1,851.75 | 1,852 | 46.3659 |
2023-05-10 01:36:00 | 1,852 | 1,852 | 1,851 | 1,851.39 | 133.8518 |
2023-05-10 01:37:00 | 1,851.4 | 1,851.4 | 1,850.31 | 1,850.79 | 128.2815 |
2023-05-10 01:38:00 | 1,850.8 | 1,851.72 | 1,850.6 | 1,850.61 | 134.3028 |
2023-05-10 01:39:00 | 1,850.61 | 1,851.28 | 1,850.6 | 1,850.89 | 102.0193 |
Dataset Card for ETHUSDT 1-minute Dataset
Dataset Details
Dataset Description
This dataset contains 1-minute granularity historical data for the ETHUSDT pair on Binance spot market, covering the period from May 1st, 2023 to May 1st, 2024. The data is formatted into a single CSV file, with each row representing a 1-minute candlestick.
- Curated by: Thomas Erhel
- Language(s) (NLP): English
- License: GNU General Public License v3.0 or later
Uses
Direct Use
This dataset is suitable for various applications, including:
- Backtesting trading strategies
- Training machine learning models for cryptocurrency price prediction
- Analyzing market trends and patterns
Out-of-Scope Use
This dataset is not intended for use in high-frequency trading or real-time market analysis, as the data is aggregated at a 1-minute granularity.
Dataset Structure
The dataset consists of a single CSV file, ethusdt_1min.csv, with the following columns:
- date: datetime object representing the timestamp of each 1-minute candlestick
- open_price: opening price of each 1-minute candlestick
- high_price: highest price of each 1-minute candlestick
- low_price: lowest price of each 1-minute candlestick
- close_price: closing price of each 1-minute candlestick
- volume: trading volume of each 1-minute candlestick
Dataset Creation
Curation Rationale
The dataset was created to provide a comprehensive and easily accessible resource for cryptocurrency market analysis and machine learning applications.
Source Data
The source data was obtained from Binance's API, using the k-line daily endpoint with a granularity of 1 minute.
Data Collection and Processing
The data was collected using a Python script, which aggregated the data from multiple CSV files into a single file. The script used the pandas library to read and process the data.
Who are the source data producers?
The source data was produced by Binance, a leading cryptocurrency exchange.
Annotation process
No annotation process was involved in the creation of this dataset.
Who are the annotators?
N/A
Personal and Sensitive Information
This dataset does not contain any personal or sensitive information.
Bias, Risks, and Limitations
This dataset may contain biases and limitations inherent to the data collection process, such as:
- Data quality issues due to API errors or connectivity problems
- Limited coverage of the cryptocurrency market, as the dataset only includes data for the ETHUSDT pair
- Potential for data manipulation or tampering
Recommendations
Users should be aware of these limitations and take necessary precautions when using the dataset. Additionally, users should verify the data quality and integrity before using it for any applications.
Dataset Card Contact
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