数据集:

edarchimbaud/eps-revisions-sp500

中文

Dataset Card for "eps-revisions-sp500"

Dataset Summary

The eps-revisions-sp500 dataset provides information on earnings-per-share (EPS) revisions for companies in the S&P 500 index.

Supported Tasks and Leaderboards

The dataset can be used to analyze EPS revisions and their impact on the performance of companies in the S&P 500 index. It does not specify any particular leaderboard or evaluation metric.

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 indicating the date of the recorded data.
  • current_qtr (string): A string representing the current quarter.
  • up_last_7_days_current_qtr (int64): An integer indicating the number of days the EPS has increased in the current quarter.
  • next_qtr (string): A string representing the next quarter.
  • up_last_7_days_next_qtr (int64): An integer indicating the number of days the EPS is projected to increase in the next quarter.
  • current_year (int64): An integer representing the current year.
  • up_last_7_days_current_year (int64): An integer indicating the number of days the EPS has increased in the current year.
  • next_year (int64): An integer representing the next year.
  • up_last_7_days_next_year (int64): An integer indicating the number of days the EPS is projected to increase in the next year.
  • up_last_30_days_current_qtr (int64): An integer indicating the number of days the EPS has increased in the current quarter over the last 30 days.
  • up_last_30_days_next_qtr (int64): An integer indicating the number of days the EPS is projected to increase in the next quarter over the last 30 days.
  • up_last_30_days_current_year (int64): An integer indicating the number of days the EPS has increased in the current year over the last 30 days.
  • up_last_30_days_next_year (int64): An integer indicating the number of days the EPS is projected to increase in the next year over the last 30 days.
  • down_last_7_days_current_qtr (null): A null value indicating the absence of data on EPS decrease in the current quarter.
  • down_last_7_days_next_qtr (null): A null value indicating the absence of data on EPS decrease in the next quarter.
  • down_last_7_days_current_year (null): A null value indicating the absence of data on EPS decrease in the current year.
  • down_last_7_days_next_year (null): A null value indicating the absence of data on EPS decrease in the next year.
  • down_last_30_days_current_qtr (int64): An integer indicating the number of days the EPS has decreased in the current quarter over the last 30 days.
  • down_last_30_days_next_qtr (int64): An integer indicating the number of days the EPS is projected to decrease in the next quarter over the last 30 days.
  • down_last_30_days_current_year (int64): An integer indicating the number of days the EPS has decreased in the current year over the last 30 days.
  • down_last_30_days_next_year (int64): An integer indicating the number of days the EPS is projected to decrease in the next year over the last 30 days.

Data Splits

A single split, called train.

Dataset Creation

Curation Rationale

The eps-revisions-sp500 dataset was created to provide information on EPS revisions for companies in the S&P 500 index.

Source Data

Initial Data Collection and Normalization

The data was collected from reliable sources and normalized for consistency.

Annotations

Annotation Process

[N/A]

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 eps-revisions-sp500 dataset was collected by https://edarchimbaud.substack.com .

Licensing Information

The eps-revisions-sp500 dataset is licensed under the MIT License.

Citation Information

https://edarchimbaud.substack.com , eps-revisions-sp500 dataset, GitHub repository, https://github.com/edarchimbaud

Contributions

Thanks to @edarchimbaud for adding this dataset.