Datasets:
File size: 1,709 Bytes
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---
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).
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