Machine Learning Applications in Stock Index Prediction

DOI

10.2991/978-94-6239-648-7_61How to use a DOI?

Keywords

Stock Index; Machine Learning; Deep Learning; Financial Market

Abstract

Stock index forecasting has been an essential indicator of market research since the emergence of financial analysis. Its concept encompasses many dimensions, such as investment decision-making, risk control, and policy evaluation. In recent years, with the rapid development of artificial intelligence and big data models, machine learning and deep learning algorithms have gradually become some of the hot tools for market research. This paper summarizes the current literature on machine learning research in stock index forecasting, including traditional machine learning models, deep learning models, and their hybrid models. It is concluded that traditional machine learning models work well for small-scale, high-quality data; deep learning models, which are good at dealing with nonlinear problems and long-term predictions, have better performance. However, due to the complexity introduced by market noise, investor sentiment, and other factors, achieving a stable and precise forecast remains challenging. Through full digests of the existing literature and findings, this paper points out the limitation of current research and proposes the direction of further improvement, including exploring multi-data fusion approaches and establishing risk-oriented modeling frameworks.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Xuanmeng Huang
PY  - 2026
DA  - 2026/04/24
TI  - Machine Learning Applications in Stock Index Prediction
BT  - Proceedings of the International Workshop on Advances in Deep Learning for Image Analysis and Computer Vision (IWADIC 2025)
PB  - Atlantis Press
SP  - 555
EP  - 561
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6239-648-7_61
DO  - 10.2991/978-94-6239-648-7_61
ID  - Huang2026
ER  -