QF-TraderNet: Intraday Trading via Deep Reinforcement With Quantum Price Levels Based Profit-And-Loss Control

Reinforcement Learning (RL) based machine trading attracts a rich profusion of interest. However, in the existing research, RL in the day-trade task suffers from the noisy financial movement in the short time scale, difficulty in order settlement, and expensive action search in a continuous-value sp...

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Detalles Bibliográficos
Autores principales: Qiu, Yifu, Qiu, Yitao, Yuan, Yicong, Chen, Zheng, Lee, Raymond
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586520/
https://www.ncbi.nlm.nih.gov/pubmed/34778753
http://dx.doi.org/10.3389/frai.2021.749878

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8586520/
https://www.ncbi.nlm.nih.gov/pubmed/34778753
http://dx.doi.org/10.3389/frai.2021.749878

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