metadata
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.
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
- Code: GitHub - QTMRL
Sample Usage
You can download the dataset using the Hugging Face CLI:
huggingface-cli download --repo-type dataset Changahou/Data4Fin Data4Fin.csv --local-dir ./
Citation
@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}
}