A multimodal foundation agent for financial trading : Tool-augmented, diversified, and generalist
Financial trading is a crucial component of the markets, informed by a multimodal information landscape encompassing news, prices, and Kline charts, and encompasses diverse tasks such as quantitative trading and high-frequency trading with various assets. While advanced AI techniques like deep learn...
Saved in:
Main Authors: | ZHANG, Wentao, ZHAO, Lingxuan, XIA, Haochong, SUN, Shuo, SUN, Jiaze, QIN, Molei, LI, Xinyi, ZHAO, Yuqing, ZHAO, Yilei, CAI, Xinyu, ZHENG, Longtao, Xinrun WANG, AN, Bo |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2024
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/9830 https://ink.library.smu.edu.sg/context/sis_research/article/10830/viewcontent/3637528.3671801.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Financial trading in the digital age: the integration of large language model and reinforcement learning
by: Zhao, Lingxuan
Published: (2024) -
Explaining reinforcement learning agent for high-frequency trading in quantitative finance
by: Zhao, Yuqing
Published: (2024) -
Mastering stock markets with efficient mixture of diversified trading experts
by: SUN, Shuo, et al.
Published: (2023) -
EarnHFT: Efficient hierarchical reinforcement learning for high frequency trading
by: QIN, Molei, et al.
Published: (2024) -
Towards IMACA: Intelligent multimodal affective conversational agent
by: Hussain, A., et al.
Published: (2014)