TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Cited by
Sorted by citations
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
Zhang, W., Zhao, L., Xia, H., Sun, S., Sun, J., Qin, M., Li, X., Zhao, Y., Zhao, Y., Cai, X., et al. (2024) · Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining · doi:10.1145/3637528.3671801 · Cited by 74 · see citing works
Self-citation
- Authors
- Sun, S., Qin, M., Zhang, W., Xia, H., Zong, C., Ying, J., Xie, Y., Zhao, L., Wang, X., & An, B.
- Venue
- Advances in Neural Information Processing Systems 36
- Published
- 2023
- Pages
- 59047-59061
- ISSN
- 1049-5258 (ISSN-L)
- OpenAlex
- W7133210754
- Cited by
- 3
- References
- 0
- Citations by year
- 2026: 3
- FWCI
- 1.65
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- neural information processing systems (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Stock Market Forecasting Methods
- Social Sciences › Economics, Econometrics and Finance › Finance › Financial Markets and Investment Strategies
- Social Sciences › Business, Management and Accounting › Management Information Systems › FinTech, Crowdfunding, Digital Finance
- Keywords
- quantitative trading, trading platforms, reinforcement learning, algorithmic trading
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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