Accelerating machine learning for trading using programmable switches
High-frequency trading (HFT) employs cutting-edge hardware for rapid decision-making and order execution but often relies on simpler algorithms that may miss deeper market trends. Conversely, lower-frequency algorithmic trading uses machine learning (ML) for better market predictions but higher late...
Main Authors: | Hong, X, Zheng, C, Zohren, S, Zilberman, N |
---|---|
格式: | Conference item |
語言: | English |
出版: |
IOS Press
2024
|
相似書籍
-
Linnet: limit order books within switches
由: Hong, X, et al.
出版: (2022) -
LOBIN: in-network machine learning for limit order books
由: Hong, X, et al.
出版: (2023) -
In-network machine learning using programmable network devices: a survey
由: Zheng, C, et al.
出版: (2023) -
MTPSA: Multi-tenant programmable switches
由: Stoyanov, R, et al.
出版: (2020) -
Iisy: hybrid in-network classification using programmable switches
由: Zheng, C, et al.
出版: (2024)