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license: apache-2.0
dataset_info:
features:
- name: Open
dtype: float64
- name: High
dtype: float64
- name: Low
dtype: float64
- name: Close
dtype: float64
- name: Volume
dtype: float64
- name: Dividends
dtype: float64
- name: Stock Splits
dtype: float64
- name: Ticker
dtype: large_string
splits:
- name: train
num_bytes: 362316406
num_examples: 5385872
download_size: 89486217
dataset_size: 362316406
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
task_categories:
- tabular-classification
- time-series-forecasting
- table-question-answering
language:
- en
tags:
- finance
- stock-market
- tabular
- time-series
- historical-data
pretty_name: stock pile
size_categories:
- 1M<n<10M
---
# Stock-pile
**Stock-pile** is a comprehensive financial dataset covering historical daily and weekly stock market performance for 750 of the world's richest companies—spanning from their founding/IPO dates up to the present day.
## Dataset Overview
- **Entities Covered:** 750 world-leading companies by market cap & wealth.
- **Time Horizon:** Complete lifetime historical data (from founding/IPO date to present).
- **Frequencies Included:** Daily and Weekly aggregate records.
- **Total Records:** Over 5 Million rows (~101 MB in compressed Parquet format).
---
## Dataset Structure
The dataset contains standard OHLCV (Open, High, Low, Close, Volume) data alongside relevant corporate metadata.
### Data Fields
| Column Name | Data Type | Description |
| :--- | :--- | :--- |
| `date` | `timestamp` | Trade date |
| `frequency` | `string` | Frequency interval (`daily` or `weekly`) |
| `open` | `float64` | Opening price |
| `high` | `float64` | Highest price during the period |
| `low` | `float64` | Lowest price during the period |
| `close` | `float64` | Closing price |
| `volume` | `int64` | Total trading volume |
| `Dividends` | `float64`| Total dividends |
| `Stock splits` | `float32` | Amount of spilt stocks |
---
## Quickstart & Usage
### Loading with Datasets
```python
import datasets
dataset = datasets.load_dataset("helloadhavan/Stock-pile")
print(dataset)
``` |