symbol
stringlengths
1
5
| date
stringlengths
10
10
| time
stringlengths
8
8
| price
float64
0.09
6.33k
| share_volume
stringlengths
1
24
|
---|---|---|---|---|
A | 2023-05-27 | 04:00:28 | 119.5 | 6 |
A | 2023-05-27 | 04:00:28 | 119.51 | 1 |
A | 2023-05-27 | 06:30:57 | 117.69 | 11 |
A | 2023-05-27 | 07:00:00 | 118.1 | 1 |
A | 2023-05-27 | 07:00:00 | 118.88 | 2 |
A | 2023-05-27 | 07:00:06 | 117.6 | 7 |
A | 2023-05-27 | 07:00:06 | 117.59 | 9 |
A | 2023-05-27 | 08:00:00 | 117.6 | 1 |
A | 2023-05-27 | 08:00:47 | 119.49 | 1 |
A | 2023-05-27 | 08:00:53 | 119.49 | 1 |
A | 2023-05-27 | 08:02:42 | 119.49 | 1 |
A | 2023-05-27 | 09:26:31 | 120 | 11 |
A | 2023-05-27 | 09:26:31 | 120 | 175 |
A | 2023-05-27 | 09:26:31 | 119.99 | 1 |
A | 2023-05-27 | 09:26:31 | 119.99 | 200 |
A | 2023-05-27 | 09:26:31 | 119.87 | 10 |
A | 2023-05-27 | 09:26:31 | 119.86 | 11 |
A | 2023-05-28 | 04:00:28 | 119.5 | 6 |
A | 2023-05-28 | 04:00:28 | 119.51 | 1 |
A | 2023-05-28 | 06:30:57 | 117.69 | 11 |
A | 2023-05-28 | 07:00:00 | 118.1 | 1 |
A | 2023-05-28 | 07:00:00 | 118.88 | 2 |
A | 2023-05-28 | 07:00:06 | 117.6 | 7 |
A | 2023-05-28 | 07:00:06 | 117.59 | 9 |
A | 2023-05-28 | 08:00:00 | 117.6 | 1 |
A | 2023-05-28 | 08:00:47 | 119.49 | 1 |
A | 2023-05-28 | 08:00:53 | 119.49 | 1 |
A | 2023-05-28 | 08:02:42 | 119.49 | 1 |
A | 2023-05-28 | 09:26:31 | 120 | 11 |
A | 2023-05-28 | 09:26:31 | 120 | 175 |
A | 2023-05-28 | 09:26:31 | 119.99 | 1 |
A | 2023-05-28 | 09:26:31 | 119.99 | 200 |
A | 2023-05-28 | 09:26:31 | 119.87 | 10 |
A | 2023-05-28 | 09:26:31 | 119.86 | 11 |
A | 2023-05-29 | 04:03:10 | 120 | 20 |
A | 2023-05-29 | 04:03:10 | 119.99 | 1 |
A | 2023-05-29 | 04:21:25 | 123.37 | 6 |
A | 2023-05-29 | 05:16:03 | 123.22 | 1 |
A | 2023-05-29 | 05:49:49 | 123.22 | 1 |
A | 2023-05-29 | 06:53:57 | 123.19 | 10 |
A | 2023-05-29 | 06:53:57 | 122.92 | 1 |
A | 2023-05-29 | 06:53:57 | 122.92 | 9 |
A | 2023-05-29 | 06:54:24 | 122.92 | 7 |
A | 2023-06-01 | 08:02:10 | 115.67 | 1 |
A | 2023-06-01 | 08:02:50 | 115.67 | 1 |
A | 2023-06-01 | 08:02:52 | 115.67 | 1 |
A | 2023-06-01 | 08:28:19 | 115.67 | 810 |
A | 2023-06-01 | 09:29:54 | 117.32 | 1 |
A | 2023-06-01 | 09:29:54 | 117.32 | 6 |
A | 2023-06-01 | 09:29:54 | 117.32 | 20 |
A | 2023-06-01 | 09:29:54 | 117.17 | 71 |
A | 2023-06-01 | 09:29:54 | 117.32 | 72 |
A | 2023-06-01 | 09:29:54 | 117.17 | 1 |
A | 2023-06-01 | 09:29:54 | 117.16 | 6 |
A | 2023-06-01 | 09:29:54 | 117.16 | 21 |
A | 2023-06-01 | 09:29:54 | 117.16 | 150 |
A | 2023-06-01 | 09:29:54 | 117.1 | 50 |
A | 2023-06-01 | 09:29:54 | 117.17 | 29 |
A | 2023-06-01 | 09:29:54 | 117.16 | 171 |
A | 2023-06-02 | 07:00:00 | 116.45 | 18 |
A | 2023-06-02 | 08:01:11 | 116.26 | 1 |
A | 2023-06-02 | 08:02:31 | 116.26 | 1 |
A | 2023-06-02 | 08:02:34 | 116.26 | 1 |
A | 2023-06-02 | 08:02:35 | 116.26 | 1 |
A | 2023-06-02 | 08:02:36 | 116.26 | 1 |
A | 2023-06-02 | 08:02:40 | 116.26 | 1 |
A | 2023-06-02 | 08:02:55 | 122.07 | 10 |
A | 2023-06-02 | 08:06:50 | 124.61 | 20 |
A | 2023-06-02 | 08:10:58 | 118.01 | 2 |
A | 2023-06-02 | 08:11:16 | 118 | 2 |
A | 2023-06-02 | 08:11:16 | 118.01 | 7 |
A | 2023-06-02 | 08:11:21 | 118 | 2 |
A | 2023-06-02 | 08:44:53 | 118 | 12 |
A | 2023-06-02 | 08:44:53 | 118.01 | 9 |
A | 2023-06-02 | 08:45:16 | 118 | 5 |
A | 2023-06-02 | 08:45:16 | 118 | 9 |
A | 2023-06-02 | 09:16:55 | 116.26 | 11,635 |
A | 2023-06-02 | 09:28:01 | 116.66 | 830 |
A | 2023-06-02 | 09:28:01 | 116.67 | 169 |
A | 2023-06-02 | 09:28:01 | 117.01 | 1 |
A | 2023-06-02 | 09:28:09 | 117.9 | 7 |
A | 2023-06-02 | 09:28:14 | 116.72 | 61 |
A | 2023-06-02 | 09:28:14 | 116.72 | 100 |
A | 2023-06-02 | 09:28:14 | 116.72 | 25 |
A | 2023-06-02 | 09:28:14 | 116.72 | 75 |
A | 2023-06-02 | 09:28:14 | 116.72 | 400 |
A | 2023-06-02 | 09:28:14 | 116.76 | 600 |
A | 2023-06-02 | 09:28:14 | 116.77 | 100 |
A | 2023-06-02 | 09:28:14 | 116.8 | 219 |
A | 2023-06-02 | 09:28:14 | 116.8 | 200 |
A | 2023-06-02 | 09:28:14 | 116.8 | 100 |
A | 2023-06-02 | 09:28:14 | 117 | 2 |
A | 2023-06-02 | 09:28:14 | 117 | 1 |
A | 2023-06-02 | 09:28:14 | 117.01 | 6 |
A | 2023-06-02 | 09:29:59 | 117.59 | 100 |
A | 2023-06-05 | 04:00:00 | 118.9 | 2 |
A | 2023-06-05 | 05:56:05 | 119 | 3 |
A | 2023-06-05 | 05:56:05 | 119 | 42 |
A | 2023-06-05 | 08:00:26 | 118.3 | 1 |
A | 2023-06-05 | 08:00:26 | 118.31 | 6 |
Dataset Card for "extended-trading-sp500"
Dataset Summary
The extended-trading-sp500 dataset contains detailed information on the extended trading of the S&P 500 index.
Supported Tasks and Leaderboards
[N/A]
Languages
[N/A]
Dataset Structure
Data Instances
[N/A]
Data Fields
- symbol (string): A string representing the ticker symbol or abbreviation used to identify the company.
- date (string): A string representing the date of the trading.
- time (string): A string representing the time of the trading.
- price (float64): A floating-point number representing the price of the stock at the given date and time.
- share_volume (string): A string representing the volume of shares traded during this time.
Data Splits
[N/A]
Dataset Creation
Curation Rationale
The extended-trading-sp500 dataset was developed to support research into after-hours trading patterns and behaviors.
Source Data
Initial Data Collection and Normalization
This data was sourced from various trading platforms and aggregated for this dataset.
Annotations
Annotation process
[N/A]
Who are the annotators?
[N/A]
Personal and Sensitive Information
[N/A]
Considerations for Using the Data
Social Impact of Dataset
[N/A]
Discussion of Biases
[N/A]
Other Known Limitations
[N/A]
Additional Information
Dataset Curators
The extended-trading-sp500 dataset was collected by https://edarchimbaud.substack.com.
Licensing Information
The extended-trading-sp500 dataset is licensed under the MIT License.
Citation Information
https://edarchimbaud.substack.com, extended-trading-sp500 dataset, GitHub repository, https://github.com/edarchimbaud
Contributions
Thanks to @edarchimbaud for adding this dataset.
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