README.md

---
language:
- en
license: other
task_categories:
  - tabular-regression
features:
- name: symbol
  dtype: string
- name: date
  dtype: string
- name: reportedDate
  dtype: string
- name: reportedEPS
  dtype: float64
- name: estimatedEPS
  dtype: float64
- name: surprise
  dtype: float64
- name: surprisePercentage
  dtype: float64
- name: reportTime
  dtype: string
extra_gated_prompt: "To get access to this dataset, you must subscribe to Papers With Backtest. To subscribe, go to https://paperswithbacktest.com/ > Login > Choose Your Plan > Subscribe."
---
# Dataset Information

This dataset includes quarterly earnings reports for various US stocks. 

## Instruments Included

- 7000+ US Stocks

## Dataset Columns

- `symbol`: The stock ticker or financial instrument identifier associated with the data.
- `date`: The end date of the fiscal period for which the financial data is reported.
- `reported_date`: The actual date on which the company reported its earnings or financial results.
- `reported_eps`: The earnings per share (EPS) that the company actually reported, representing its profitability on a per-share basis.
- `estimated_eps`: The earnings per share (EPS) that analysts or financial experts estimated prior to the actual report, reflecting market expectations.
- `surprise`: The difference between the reported EPS and the estimated EPS, indicating whether the company exceeded or fell short of expectations.
- `surprise_percentage`: The percentage difference between the reported EPS and the estimated EPS, providing a relative measure of the earnings surprise.
- `report_time`: The time of day when the earnings report was released, often categorized as "Before Market Open" (BMO) or "After Market Close" (AMC).

## Data Splits

The data is split into a training set.

## Dataset Maintenance

The dataset is updated on a monthly basis by [Papers With Backtest](https://paperswithbacktest.com).