JPX Tokyo Stock Exchange Prediction with Deep Neural Networks

Hu, Shurui and Hansen, Hua and Mao, Junchao and Zhang, Jiabing (2024) JPX Tokyo Stock Exchange Prediction with Deep Neural Networks. In: Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China.

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Abstract

Quantitative investment is a quantitative analysis method, according to the historical related data, the use of computer technology combined with mathematical models to establish a quantitative analysis model of investment, to discover the price: the hidden trend behind the change, so as to guide th

Item Type: Conference or Workshop Item (UNSPECIFIED)
Date Deposited: 04 Mar 2026 17:40
Last Modified: 16 Apr 2026 23:22
URI: http://eprints.eai.eu/id/eprint/49383

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