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Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning

arXiv License: MIT

Alpha-R1 introduces a novel framework for quantitative alpha factor mining by leveraging the reasoning capabilities of LLMs enhanced through Reinforcement Learning.

📅 Roadmap & Updates

  • [2025.12] 📄 Paper released on arXiv.
  • [Coming Soon] 🧩 We are organizing the code and models.
    • Inference code (Alpha Generation Pipeline)
    • Model weights

Please ⭐ Star this repo to stay updated!

🖊️ Citation

@article{jiang2025alphar1,
  title={Alpha-R1: Alpha Screening with LLM Reasoning via Reinforcement Learning},
  author={Jiang, Zuoyou and Zhao, Li and Sun, Rui and Sun, Ruohan and Li, Zhongjian and Li, Jing and Jiang, Daxin and Bai, Zuo and Hua, Cheng},
  journal={arXiv preprint arXiv:2512.23515},
  year={2025}
}