license:mit size_categories:n<1K format:csv modality:tabular modality:text library:datasets library:pandas library:mlcroissant library:polars region:us infinite-dataset-hub synthetic
---
license: mit
tags:
- infinite-dataset-hub
- synthetic
---

# StockPredictTraining

tags: stock market, supervised learning, time series

_Note: This is an AI-generated dataset so its content may be inaccurate or false_

**Dataset Description:**

The 'StockPredictTraining' dataset is a curated collection of stock market time series data used for training supervised machine learning models. Each row represents daily stock information with various features that might influence the stock's future price. The dataset includes open, high, low, close prices, volume, and a custom label indicating whether the stock's price will increase ('Increase'), decrease ('Decrease'), or stay the same ('Stable') the following day.

**CSV Content Preview:**

```
Date,Open,High,Low,Close,Volume,Label
2023-01-01,100,110,95,105,10000,Increase
2023-01-02,105,115,102,112,15000,Increase
2023-01-03,112,120,108,119,12000,Decrease
2023-01-04,119,125,115,123,13000,Stable
2023-01-05,123,130,121,128,11000,Increase
```

Please note that this dataset is purely fictional and for illustrative purposes. In a real-world scenario, one should use actual market data and appropriate labeling techniques to train predictive models.

**Source of the data:**

The dataset was generated using the [Infinite Dataset Hub](https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub) and microsoft/Phi-3-mini-4k-instruct using the query 'stock predict':

- **Dataset Generation Page**: https://huggingface.co/spaces/infinite-dataset-hub/infinite-dataset-hub?q=stock+predict&dataset=StockPredictTraining&tags=stock+market,+supervised+learning,+time+series
- **Model**: https://huggingface.co/microsoft/Phi-3-mini-4k-instruct
- **More Datasets**: https://huggingface.co/datasets?other=infinite-dataset-hub
