AthenaraPapers / finagent-paper
A Multimodal Foundation Agent for Financial Trading (FinAgent)
Presents FinAgent, a multimodal trading agent that processes numerical, textual, and visual market data with dual-level reflection and diversified memory retrieval.
- multimodal
- foundation-agent
- tool-use
- reflection
- memory
added 2026-08-15 · external
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Details
| authors | Wentao Zhang, Lingxuan Zhao, Haochong Xia, Shuo Sun, Jiaze Sun, Molei Qin, Xinyi Li, Yuqing Zhao, Yilei Zhao, Xinyu Cai, Longtao Zheng, Xinrun Wang, Bo An |
|---|---|
| origin | external |
| year | 2024 |
| venue | arXiv preprint |
| arxiv | 2402.18485 |
| markets | multi-asset |
FinAgent’s market intelligence module ingests numerical series, text, and chart images, while a dual-level reflection mechanism supports both rapid adaptation to market changes and longer-horizon lesson extraction. The agent is tool-augmented, incorporating established trading strategies and expert knowledge, and emphasizes reasoning transparency.
Evaluation spans six datasets across stocks and cryptocurrency against nine baselines; the authors report average profit improvements above 36%, including a 92.27% return on one dataset. No public implementation was found at time of indexing — a reproduction would be a valuable contribution.