size_categories:n<1K format:parquet modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: Adj Close
    dtype: float64
  - name: Close
    dtype: float64
  - name: High
    dtype: float64
  - name: Low
    dtype: float64
  - name: Open
    dtype: float64
  - name: Volume
    dtype: int64
  - name: SMA_50
    dtype: float64
  - name: SMA_200
    dtype: float64
  - name: RSI
    dtype: float64
  - name: Target
    dtype: int64
  splits:
  - name: train
    num_bytes: 44560
    num_examples: 557
  download_size: 41341
  dataset_size: 44560
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Yahoo Shares

This data set contains historical share information for the analysis and modelling of share price predictions. It can be used to train machine learning models that predict future share prices. All data was retrieved from the Yahoo Finance API.

## Content of the data record

| Column | Description |
|-------------|--------|
| Adj Close | Adjusted closing price |
| Close | Closing price |
| High | Highest price of the day |
| Low | Lowest price of the day |
| Open | Opening price |
| Volume | Trading Volume |
| SMA_50 | 50-day average |
| SMA_200 | 200-day moving average |
| RSI | Relative Strength Index |
| Target | Target value (0 or 1) for labelling buy and sell decisions |

## Utilisation

This data set is suitable for projects such as
- Time series analysis
- Prediction models for stock prices
- Classification of buy/sell signals

## Licence

The dataset is released for educational and research purposes only. Please cite the source if you use it in publications.