@inproceedings{deng-etal-2026-alphaquanter,
    title = "{A}lpha{Q}uanter: An End-to-End Tool-Augmented Agentic Reinforcement Learning Framework for Stock Trading",
    author = "Deng, Zheye  and
      Yan, Weixiang  and
      Yu, Changlong  and
      Wang, Jiashu",
    editor = "Liakata, Maria  and
      Moreira, Viviane P.  and
      Zhang, Jiajun  and
      Jurgens, David",
    booktitle = "Findings of the {A}ssociation for {C}omputational {L}inguistics: {ACL} 2026",
    month = jul,
    year = "2026",
    address = "San Diego, California, United States",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl/2026.findings-acl.456/",
    pages = "9373--9394",
    ISBN = "979-8-89176-395-1"
}