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2023-05-10 00:00:00
1,846.53
1,846.81
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297.6781
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1,847.21
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229.9185
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62.5588
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1,846.89
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1,846.73
62.9539
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57.2875
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29.9005
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1,846.97
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108.7754
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199.8151
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1,848.25
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1,847.15
128.1168
2023-05-10 00:09:00
1,847.15
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1,847.15
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52.2493
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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
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1,848.12
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237.3237
2023-05-10 00:13:00
1,848.6
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149.0455
2023-05-10 00:14:00
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17.327
2023-05-10 00:15:00
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171.5202
2023-05-10 00:16:00
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389.0686
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2023-05-10 00:20:00
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2023-05-10 00:22:00
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567.6404
2023-05-10 00:31:00
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2023-05-10 00:33:00
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2023-05-10 00:34:00
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2023-05-10 00:35:00
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108.4296
2023-05-10 00:36:00
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2023-05-10 00:37:00
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2023-05-10 00:38:00
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253.5794
2023-05-10 00:39:00
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1,849.23
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317.4173
2023-05-10 00:40:00
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1,850.08
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229.4981
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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
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1,849.87
1,851.73
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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
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1,852.25
1,851.1
1,851.12
148.2387
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1,851.12
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1,850.4
1,851.35
176.077
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1,851.35
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1,851.86
115.4864
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1,851.87
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59.0389
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135.8674
2023-05-10 00:55:00
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2023-05-10 00:56:00
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303.5947
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1,850.58
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194.8646
2023-05-10 00:58:00
1,851.72
1,852
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56.5741
2023-05-10 00:59:00
1,851.41
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1,851.4
1,851.46
123.1523
2023-05-10 01:00:00
1,851.46
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318.1021
2023-05-10 01:01:00
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113.0901
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1,852.9
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1,852.89
159.3759
2023-05-10 01:03:00
1,852.89
1,853.17
1,852.89
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71.9712
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1,852.99
1,853.58
1,852.99
1,853.57
310.3257
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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
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161.7339
2023-05-10 01:12:00
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1,853.99
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203.5372
2023-05-10 01:13:00
1,853.98
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1,852
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547.8018
2023-05-10 01:14:00
1,852.01
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1,851
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1,851.97
1,851.6
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57.858
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1,851.61
1,851.61
1,851.2
1,851.21
81.1912
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1,851.21
1,851.08
1,851.09
55.5753
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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
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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
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1,854.39
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1,853.11
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308.8919
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1,853.12
1,854.25
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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
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147.1931
2023-05-10 01:30:00
1,851.79
1,852.79
1,851.75
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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
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139.8403
2023-05-10 01:33:00
1,851.06
1,852.33
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128.3304
2023-05-10 01:34:00
1,852.2
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1,851.16
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299.1147
2023-05-10 01:35:00
1,851.75
1,852
1,851.75
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46.3659
2023-05-10 01:36:00
1,852
1,852
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133.8518
2023-05-10 01:37:00
1,851.4
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128.2815
2023-05-10 01:38:00
1,850.8
1,851.72
1,850.6
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134.3028
2023-05-10 01:39:00
1,850.61
1,851.28
1,850.6
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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

thomas.erhel@gmail.com

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