---
task_categories:
- reinforcement-learning
tags:
- finance
- quantitative-trading
---

# Data4Fin

This repository contains the multi-indicator dataset presented in the paper [QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning](https://huggingface.co/papers/2508.20467).

The dataset consists of 23 years of S&P 500 daily OHLCV data (2000-2022) for 16 representative stocks across 5 sectors. The raw data is enriched with trend, volatility, and momentum indicators to capture market dynamics for reinforcement learning-based trading agents.

- **Paper:** [QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning](https://huggingface.co/papers/2508.20467)
- **Code:** [GitHub - QTMRL](https://github.com/ChenJiahaoJNU/QTMRL)

## Sample Usage

You can download the dataset using the Hugging Face CLI:

```bash
huggingface-cli download --repo-type dataset Changahou/Data4Fin Data4Fin.csv --local-dir ./
```

## Citation

```bibtex
@article{Chenjh2025QTMRL,
  title={QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning},
  author={Xiangdong Liu, Jiahao Chen},
  journal={arXiv preprint arXiv:2508.20467},
  year={2025}
}
```