Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12–14, 2024, Ningbo, China

Research Article

Application of Neural Network in Stock Market Forecasting

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  • @INPROCEEDINGS{10.4108/eai.12-1-2024.2347151,
        author={Zongyan  Wen and Hanlin  Zhang},
        title={Application of Neural Network in Stock Market Forecasting},
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Digital Management, BDEDM 2024, January 12--14, 2024, Ningbo, China},
        publisher={EAI},
        proceedings_a={BDEDM},
        year={2024},
        month={6},
        keywords={neural network stock market forecast stock market specific application machine learning model},
        doi={10.4108/eai.12-1-2024.2347151}
    }
    
  • Zongyan Wen
    Hanlin Zhang
    Year: 2024
    Application of Neural Network in Stock Market Forecasting
    BDEDM
    EAI
    DOI: 10.4108/eai.12-1-2024.2347151
Zongyan Wen1,*, Hanlin Zhang1
  • 1: Fuzhou University
*Contact email: 832102228@fzu.edu.cn

Abstract

This paper summarizes the relevant literature on the neural network application in stock price forecasting, broadens research perspective, improve research methods with a focus on application of deep learning to stock price forecasting, and finally summarize the paper and looks forward to its future development. It makes the neural network's prediction of the stock market more accurate and can make investors more profitable. It can let investors make judgments through rational research results, which can greatly help investors make more objective and reasonable choices. It can restrain the weaknesses of greed and fluky psychology in human nature in investment, and can also overcome investors' cognitive bias, which plays a certain role in investors ' profitability.