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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}
}
``` |