Resources

Paper

FinRL Contest

Keyi Wang, Kairong Xiao, and Xiao-Yang Liu Yanglet. Parallel Market Environments for FinRL Contests. arXiv preprint arXiv:2504.02281, 2025.

Mostapha Benhenda. FinRL-DeepSeek: LLM-Infused Risk-Sensitive Reinforcement Learning for Trading Agents. arXiv preprint arXiv:2502.07393, 2025.

Arnav Grover. FinRLlama: A Solution to LLM-Engineered Signals Challenge at FinRL Contest 2024. arXiv preprint arXiv:2502.01992, 2024.

Nikolaus Holzer, Keyi Wang, Kairong Xiao, and Xiao-Yang Liu Yanglet. Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024. arXiv preprint arXiv:2501.10709, 2024.

FinRL

X.-Y. Liu, H. Yang, Q. Chen, R. Zhang, L. Yang, B. Xiao, and C. D. Wang. FinRL: A deep reinforcement learning library for automated stock trading in quantitative finance. Deep Reinforcement Leanring Workshop, NeurIPS, 2020.

X.-Y. Liu, H. Yang, J. Gao, and C. D. Wang, “FinRL: deep reinforcement learning framework to automate trading in quantitative finance,” ACM International Conference on AI in Finance, 2022.

X.-Y. Liu, Z. Xiong, S. Zhong, H. Yang, and A. Walid, “Practical deep reinforcement learning approach for stock trading,” Workshop on Challenges and Opportunities for AI in Financial Services NeurIPS, 2018.

FinRL-Meta

X.-Y. Liu, Z. Xia, H. Yang, J. Gao, D. Zha, M. Zhu, Christina D. Wang*, Zhaoran Wang, and Jian Guo. Dynamic datasets and market environments for financial reinforcement learning. Machine Learning Journal, Springer Nature, 2023.

X.-Y. Liu, Z. Xia, J. Rui, J. Gao, H. Yang, M. Zhu, C. Wang, Z. Wang, J. Guo. FinRL-Meta: Market environments and benchmarks for data-driven financial reinforcement learning. NeurIPS, Special Track on Datasets and Benchmarks, 2022.

FinGPT

Hongyang Yang, Xiao-Yang Liu, and Christina Dan Wang. FinGPT: Open-source financial large language models. FinLLM Symposium at IJCAI 2023, 2023.

Boyu Zhang, Hongyang Yang, tianyu Zhou, Ali Babar, and Xiao-Yang Liu. Enhancing financial sentiment analysis via retrieval augmented large language models. ACM International Conference on AI in Finance (ICAIF), 2023.

Boyu Zhang, Hongyang Yang, and Xiao-Yang Liu. Instruct-fingpt: Financial sentiment analysis by instruction tuning of general-purpose large language models. FinLLM Symposium at IJCAI 2023, 2023.