A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist-Reference-Cited by-同舟云学术

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A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist

Published:2024-08-24 Issue: Volume:24 Page:4314-4325
ISSN:
Container-title:Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
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Author:

Zhang Wentao¹^ORCID,Zhao Lingxuan¹^ORCID,Xia Haochong²^ORCID,Sun Shuo¹^ORCID,Sun Jiaze³^ORCID,Qin Molei¹^ORCID,Li Xinyi¹^ORCID,Zhao Yuqing¹^ORCID,Zhao Yilei⁴^ORCID,Cai Xinyu¹^ORCID,Zheng Longtao¹^ORCID,Wang Xinrun¹^ORCID,An Bo⁵^ORCID

Affiliation:

1. Nanyang Technological University, Singapore, Singapore

2. National Technological University, Singapore, Singapore

3. National University of Singapore, Singapore, Singapore

4. Zhejiang University, Hangzhou, China

5. Nanyang Technological University & Skywork AI, Singapore, Singapore

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3637528.3671801

Reference56 articles.

1. Optuna

2. Deep Reinforcement Learning for Quantitative Trading: Challenges and Opportunities

3. Investment Behaviors Can Tell What Inside

4. Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, and Tony Xia. 2023. Theoremqa: A theorem-driven question answering dataset. arXiv preprint arXiv:2305.12524 (2023).

5. Palm: Scaling language modeling with pathways;Chowdhery Aakanksha;Journal of Machine Learning Research,2023

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