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Forecast of Stock Price

In: Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022)

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  • Zizhan Jiang

    (The University of Bath)

Abstract

The stock market is an important part of the financial market. The stock price prediction based on the model has very important practical significance for individuals and enterprises. So this paper uses regression models to fit past stock prices and forecast their future volume. This paper uses the polynomial regression method to regression the stock price from 2012 to 2017, and then uses LSTM to predict the inventory. The data used in this paper is from 2012 to 2017. Training on the data of the past few years, predicting the output in 2017, and then comparing it with the actual output. After training, the result shows that the trend of the predicted volume is similar to the actual volume in 2017. Therefore, LSTM truly forecasts the stock volume.

Suggested Citation

  • Zizhan Jiang, 2022. "Forecast of Stock Price," Advances in Economics, Business and Management Research, in: Faruk Balli & Au Yong Hui Nee & Sikandar Ali Qalati (ed.), Proceedings of the 2022 International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2022), pages 1529-1539, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-052-7_169
    DOI: 10.2991/978-94-6463-052-7_169
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