Research on Deep Learning in Stock Price Prediction

Xinyi Xiong

2024

Abstract

Stock trading is an important way for people to invest and make profits. The process of gathering and evaluating historical stock data and information, condensing the rules governing the growth of the stock market, and applying scientific research techniques to forecast the future direction of the stock market's price trend is known as "stock price prediction". Basic mathematical models serve as the foundation for traditional stock price research. Originally, stock data was processed by financial experts using basic linear models. However, due to the large amount of noise and uncertainty factors in stock data, the limitations of linear models become increasingly prominent as the prediction period lengthens. Researchers have made an effort to employ nonlinear models in their work, effectively implementing techniques like support vector machines and neural networks in stock prediction. With an emphasis on the use of both deep learning-based and conventional statistical model-based approaches for stock price prediction, this article reviews the evolution and modifications in research methodologies for this purpose. It also summarizes and prospects the future development of deep learning in stock price prediction.

Paper Citation

in Harvard Style

Xiong X. (2024). Research on Deep Learning in Stock Price Prediction. In Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM; ISBN 978-989-758-738-2, SciTePress, pages 156-162. DOI: 10.5220/0013244300004558

in Bibtex Style

@conference{mlscm24,
author={Xinyi Xiong},
title={Research on Deep Learning in Stock Price Prediction},
booktitle={Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM},
year={2024},
pages={156-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013244300004558},
isbn={978-989-758-738-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Modern Logistics and Supply Chain Management - Volume 1: MLSCM
TI - Research on Deep Learning in Stock Price Prediction
SN - 978-989-758-738-2
AU - Xiong X.
PY - 2024
SP - 156
EP - 162
DO - 10.5220/0013244300004558
PB - SciTePress