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...
Autori principali: | Hong, X, Zheng, C, Zohren, S, Zilberman, N |
---|---|
Natura: | Conference item |
Lingua: | English |
Pubblicazione: |
IOS Press
2024
|
Documenti analoghi
Documenti analoghi
-
Linnet: limit order books within switches
di: Hong, X, et al.
Pubblicazione: (2022) -
LOBIN: in-network machine learning for limit order books
di: Hong, X, et al.
Pubblicazione: (2023) -
In-network machine learning using programmable network devices: a survey
di: Zheng, C, et al.
Pubblicazione: (2023) -
MTPSA: Multi-tenant programmable switches
di: Stoyanov, R, et al.
Pubblicazione: (2020) -
Iisy: hybrid in-network classification using programmable switches
di: Zheng, C, et al.
Pubblicazione: (2024)