Artificial intelligence in financial market prediction: advancements in machine learning for stock price forecasting

REVIEW articleFront. Artif. Intell., 13 January 2026 Sec. AI in FinanceVolume 8 - 2025 | https://doi.org/10.3389/frai.2025.1696423Artificial intelligence in financial market prediction: advancements in machine learning for stock price forecastingARArafat Rohan MDMd. Deluar Hossen MNMd. Nuruzzaman Pranto BHBalayet Hossain AMAreyfin Mohammed Yoshi RIRakibul Islam * International American University, Los Angeles, CA, United States Article metrics View detailsAbstractThis study reviews the advancements in AI-driven methods for predicting stock prices, tracing their evolution from traditional approaches to modern finance. The role of AI in the market extends beyond predictive systems to encompass the intersection of financial markets with emerging technologies, such as blockchain, and the potential influence of quantum computing on economic modeling. A decentralized finance system examines the application of Reinforcement Learning in financial market prediction, highlighting its potential for continuous learning from dynamic market conditions. The study discusses the development of hybrid prediction models, stock market machine learning systems, and AI-driven investment portfolio management. The potential of quantum computing enhances portfolio analysis, fraud detection, optimization, and asset valuation for complex market predictions, as well as the impact of blockchain technologies on transparency, security, and efficiency. Machine learning techniques can significantly automa...