edarchimbaud/earnings-estimate-stocks

---
dataset_info:
features:
- name: symbol
dtype: string
- name: date
dtype: string
- name: current_qtr
dtype: string
- name: no_of_analysts_current_qtr
dtype: int64
- name: next_qtr
dtype: string
- name: no_of_analysts_next_qtr
dtype: int64
- name: current_year
dtype: int64
- name: no_of_analysts_current_year
dtype: int64
- name: next_year
dtype: int64
- name: no_of_analysts_next_year
dtype: int64
- name: avg_estimate_current_qtr
dtype: float64
- name: avg_estimate_next_qtr
dtype: float64
- name: avg_estimate_current_year
dtype: float64
- name: avg_estimate_next_year
dtype: float64
- name: low_estimate_current_qtr
dtype: float64
- name: low_estimate_next_qtr
dtype: float64
- name: low_estimate_current_year
dtype: float64
- name: low_estimate_next_year
dtype: float64
- name: high_estimate_current_qtr
dtype: float64
- name: high_estimate_next_qtr
dtype: float64
- name: high_estimate_current_year
dtype: float64
- name: high_estimate_next_year
dtype: float64
- name: year_ago_eps_current_qtr
dtype: float64
- name: year_ago_eps_next_qtr
dtype: float64
- name: year_ago_eps_current_year
dtype: float64
- name: year_ago_eps_next_year
dtype: float64
splits:
- name: train
num_bytes: 4919659
num_examples: 22192
download_size: 630013
dataset_size: 4919659
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# Dataset Card for "earnings-estimate-sp500"

## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage:** [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Repository:** [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
- **Point of Contact:** [More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)

### Dataset Summary

The earnings-estimate-sp500 dataset provides earnings estimate data for companies in the S&P 500 index.

### Supported Tasks and Leaderboards

The dataset can be used to analyze earnings estimates for systematic trading or financial analysis tasks. The dataset does not specify any associated leaderboards.

### Languages

[N/A]

## Dataset Structure

### Data Instances

[N/A]

### Data Fields

The dataset contains the following fields:

- symbol (string): A string representing the ticker symbol or abbreviation used to identify the company.
- date (string): The date associated with the earnings estimate data.
- current_qtr (string): The current quarter.
- no_of_analysts_current_qtr (int64): The number of analysts providing estimates for the current quarter.
- next_qtr (string): The next quarter.
- no_of_analysts_next_qtr (int64): The number of analysts providing estimates for the next quarter.
- current_year (int64): The current year.
- no_of_analysts_current_year (int64): The number of analysts providing estimates for the current year.
- next_year (int64): The next year.
- no_of_analysts_next_year (int64): The number of analysts providing estimates for the next year.
- avg_estimate_current_qtr (float64): The average estimate for the current quarter.
- avg_estimate_next_qtr (float64): The average estimate for the next quarter.
- avg_estimate_current_year (float64): The average estimate for the current year.
- avg_estimate_next_year (float64): The average estimate for the next year.
- low_estimate_current_qtr (float64): The low estimate for the current quarter.
- low_estimate_next_qtr (float64): The low estimate for the next quarter.
- low_estimate_current_year (float64): The low estimate for the current year.
- low_estimate_next_year (float64): The low estimate for the next year.
- high_estimate_current_qtr (float64): The high estimate for the current quarter.
- high_estimate_next_qtr (float64): The high estimate for the next quarter.
- high_estimate_current_year (float64): The high estimate for the current year.
- high_estimate_next_year (float64): The high estimate for the next year.
- year_ago_eps_current_qtr (float64): The earnings per share (EPS) for the current quarter a year ago.
- year_ago_eps_next_qtr (float64): The earnings per share (EPS) for the next quarter a year ago.
- year_ago_eps_current_year (float64): The earnings per share (EPS) for the current year a year ago.
- year_ago_eps_next_year (float64): The earnings per share (EPS) for the next year a year ago.

### Data Splits

The dataset consists of a single split, called "train."

## Additional Information

### Dataset Curators

This dataset does not specify any specific curators.

### Licensing Information

The earnings-estimate-sp500 dataset is licensed under the MIT License.

### Citation Information

> https://edarchimbaud.substack.com, earnings-estimate-sp500 dataset, GitHub repository, https://github.com/edarchimbaud

### Contributions

Thanks to [@edarchimbaud](https://github.com/edarchimbaud) for adding this dataset.

原始信息汇总

数据集概述

数据集名称

• 名称: earnings-estimate-sp500

数据集描述

• 描述: 该数据集提供S&P 500指数中公司的盈利预测数据。

数据集结构

• 数据字段:

  • symbol (字符串): 公司标识的符号或缩写。
  • date (字符串): 盈利预测数据的日期。
  • current_qtr (字符串): 当前季度。
  • no_of_analysts_current_qtr (整数): 当前季度提供预测的分析师数量。
  • next_qtr (字符串): 下一季度。
  • no_of_analysts_next_qtr (整数): 下一季度提供预测的分析师数量。
  • current_year (整数): 当前年份。
  • no_of_analysts_current_year (整数): 当前年份提供预测的分析师数量。
  • next_year (整数): 下一年份。
  • no_of_analysts_next_year (整数): 下一年份提供预测的分析师数量。
  • avg_estimate_current_qtr (浮点数): 当前季度的平均预测。
  • avg_estimate_next_qtr (浮点数): 下一季度的平均预测。
  • avg_estimate_current_year (浮点数): 当前年份的平均预测。
  • avg_estimate_next_year (浮点数): 下一年份的平均预测。
  • low_estimate_current_qtr (浮点数): 当前季度的最低预测。
  • low_estimate_next_qtr (浮点数): 下一季度的最低预测。
  • low_estimate_current_year (浮点数): 当前年份的最低预测。
  • low_estimate_next_year (浮点数): 下一年份的最低预测。
  • high_estimate_current_qtr (浮点数): 当前季度的最高预测。
  • high_estimate_next_qtr (浮点数): 下一季度的最高预测。
  • high_estimate_current_year (浮点数): 当前年份的最高预测。
  • high_estimate_next_year (浮点数): 下一年份的最高预测。
  • year_ago_eps_current_qtr (浮点数): 当前季度一年前的每股收益。
  • year_ago_eps_next_qtr (浮点数): 下一季度一年前的每股收益。
  • year_ago_eps_current_year (浮点数): 当前年份一年前的每股收益。
  • year_ago_eps_next_year (浮点数): 下一年份一年前的每股收益。

• 数据分割:

  • train: 数据集包含一个名为"train"的分割，共有22192个实例，数据大小为4919659字节。

许可证信息

• 许可证: MIT许可证

引用信息

• 引用:

  https://edarchimbaud.substack.com, earnings-estimate-sp500 dataset, GitHub repository, https://github.com/edarchimbaud