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Dynamic adjustment of stock position based on hybrid ...
Springer
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由 T Song 著作2021被引用 4 次 — The paper outlines a hybrid deep neural network-based model designed to predict the position ratio and solve the problem of market timing.
Dynamic adjustment of stock position based on hybrid ...
ResearchGate
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2024年10月22日 — This paper regarded the stock historical data as a one-dimensional grid, in which samples were taken at fixed time intervals. By extracting ...
Dynamic adjustment of stock position based on hybrid deep ...
Semantic Scholar
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The paper outlines a hybrid deep neural network-based model designed to predict the position ratio and solve the problem of market timing, and shows that ...
Dynamic adjustment of stock position based on hybrid deep ...
OUCI
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OUCI
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Dynamic adjustment of stock position based on hybrid deep neural network ; Journal: Journal of Ambient Intelligence and Humanized Computing, 2021, № 11, p. 10073 ...
Song, T. and Yan, X.S. (2021) Dynamic Adjustment of ...
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2022年12月26日 — Song, T. and Yan, X.S. (2021) Dynamic Adjustment of Stock Position Based on Hybrid Deep Neural Network. Journal of Ambient Intelligence and ...
Dynamic adjustment of stock position based on hybrid deep ...
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2021年1月2日 — This paper regarded the stock historical data as a one-dimensional grid, in which samples were taken at fixed time intervals. By extracting ...
Stock price prediction with optimized deep LSTM network ...
ScienceDirect.com
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由 B Gülmez 著作2023被引用 150 次 — In this paper, an optimized deep LSTM network with the ARO model (LSTM-ARO) is created to predict stock prices. DJIA index stocks are used as the dataset.
A Hybrid Deep Learning Model for Dynamic Stock ...
SSRN
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由 J Rios 著作2020被引用 3 次 — This paper proposes an end-to-end predictive framework named Hybrid and Temporal Graph Neural Network (HT-GNN) to predict the dynamic stock price movement of ...
Dynamic stock-decision ensemble strategy based on deep ...
Springer
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Springer
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由 X Yu 著作2023被引用 27 次 — Deep reinforcement learning agents can make a dynamic adjustment at any time according to changes in the environment, which can be ...
The constructing the efficient portfolio
ResearchGate
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ResearchGate
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Dynamic adjustment of stock position based on hybrid deep neural network. Article. Full-text available. Nov 2021. Tao Song · Xuesong Yan. At the stock ...