A Review of Stock Price Prediction Research Based on Artificial Intelligence and Big Data Technology

Ziqi Li

doi:10.47297/taposatWSP2633-456922.20250608

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A Review of Stock Price Prediction Research Based on Artificial Intelligence and Big Data Technology

6卷第8期

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A Review of Stock Price Prediction Research Based on Artificial Intelligence and Big Data Technology
A Review of Stock Price Prediction Research Based on Artificial Intelligence and Big Data Technology
School of Economics and Management, University of Science and Technology Beijing, Beijing, 100083, China
2025年6卷第8期页码：117-123
纸质出版：2025-08-30
DOI：10.47297/taposatWSP2633-456922.20250608
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(2025). A Review of Stock Price Prediction Research Based on Artificial Intelligence and Big Data Technology. 科技理论与实践（英文版）, 6(8), 117-123.

Li Ziqi.A Review of Stock Price Prediction Research Based on Artificial Intelligence and Big Data Technology[J].Theory and Practice of Science and Technology,2025,06(08):117-123.
(2025). A Review of Stock Price Prediction Research Based on Artificial Intelligence and Big Data Technology. 科技理论与实践（英文版）, 6(8), 117-123. DOI： 10.47297/taposatWSP2633-456922.20250608.

Li Ziqi.A Review of Stock Price Prediction Research Based on Artificial Intelligence and Big Data Technology[J].Theory and Practice of Science and Technology,2025,06(08):117-123. DOI： 10.47297/taposatWSP2633-456922.20250608.

摘要

Abstract

Stock price prediction in the financial sector has long been a hot topic of research. In recent years

with the continuous advancement of artificial intelligence and big data technologies

stock price prediction has gradually shifted from traditional statistical modeling paradigms toward an intelligent direction driven by multi-source heterogeneous data and dominated by deep learning. This study systematically reviews the recent research progress in the application of artificial intelligence and big data technologies to stock price prediction. It analyzes the field from multiple dimensions

including feature construction and fusion strategies

the evolution of modeling methods

and the application of big data processing frameworks. The study summarizes the current mainstream research paths and typical achievements

and discusses the challenges and constraints faced by various methods in practical applications. Additionally

this study summarizes the existing research findings and conducts an in-depth analysis of the limitations in the research.

关键词

Keywords

references

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