The Application of Sequential Generative Adversarial Networks for Stock Price Prediction

Bate He; Eisuke Kita

doi:10.1007/s12626-021-00097-2

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JOURNAL ARTICLE

The Application of Sequential Generative Adversarial Networks for Stock Price Prediction

Bate He Eisuke Kita

Year: 2021 Journal: The Review of Socionetwork Strategies Vol: 15 (2)Pages: 455-470 Publisher: Springer Science+Business Media

DOI: 10.1007/s12626-021-00097-2

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Keywords:

Adversarial system Generative grammar Stock price Computer science Generative adversarial network Stock (firearms) Artificial intelligence Econometrics Economics Materials science Geology Series (stratigraphy) Deep learning

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Stock Market Forecasting Methods

Social Sciences → Decision Sciences → Management Science and Operations Research

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

The Application of Sequential Generative Adversarial Networks for Stock Price Prediction

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