---
language:
- en
license: other
task_categories:
- tabular-regression
features:
- name: symbol
  dtype: string
- name: date
  dtype: string
- name: open
  dtype: float64
- name: high
  dtype: float64
- name: low
  dtype: float64
- name: close
  dtype: float64
- name: volume
  dtype: int64
- name: adj_close
  dtype: float64
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_info:
  features:
  - name: symbol
    dtype: string
  - name: date
    dtype: string
  - name: open
    dtype: float64
  - name: high
    dtype: float64
  - name: low
    dtype: float64
  - name: close
    dtype: float64
  - name: volume
    dtype: int64
  - name: adj_close
    dtype: float64
  splits:
  - name: train
    num_bytes: 1699889007
    num_examples: 24239949
  download_size: 836255775
  dataset_size: 1699889007
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Dataset Information

This dataset includes daily price data for various stocks. 

## Instruments Included

- 7000+ US Stocks

## Dataset Columns

- `symbol`: The symbol of the stock.
- `date`: The date of the data.
- `open`: The opening price of the stock.
- `high`: The highest price of the stock.
- `low`: The lowest price of the stock.
- `close`: The closing price of the stock.
- `volume`: The volume of the stock.
- `adj_close`: The adjusted closing price of the stock.

## 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).