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

Overview of attention for article published in Frontiers in Artificial Intelligence, October 2021
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2 X users

Citations

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Title
QF-TraderNet: Intraday Trading via Deep Reinforcement With Quantum Price Levels Based Profit-And-Loss Control
Published in
Frontiers in Artificial Intelligence, October 2021
DOI 10.3389/frai.2021.749878
Pubmed ID
Authors

Yifu Qiu, Yitao Qiu, Yicong Yuan, Zheng Chen, Raymond Lee

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 4 13%
Student > Master 3 9%
Researcher 3 9%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 2 6%
Other 4 13%
Unknown 13 41%
Readers by discipline Count As %
Computer Science 9 28%
Unspecified 4 13%
Economics, Econometrics and Finance 2 6%
Engineering 2 6%
Neuroscience 1 3%
Other 1 3%
Unknown 13 41%