REVIEW article
Front. Artif. Intell.
Sec. AI in Finance
This article is part of the Research TopicSmart Forecasting: Deep Learning and Explainable AI for Real-World Time Series PredictionView all 4 articles
Artificial Intelligence in Financial Market Prediction: Advancements in Machine Learning for Stock Price Forecasting
Provisionally accepted
- International American University, Los Angeles, United States
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This paper 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 paper 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 automate data collection and purification. Financial decision-making and the application of time-series analysis techniques can be readily learned through deep reinforcement learning for stock price prediction. Deep Neural Networks and Strategic Asset Allocation can be managed by evaluating performance and portfolio using real-time market insights from AI models. Although there are numerous ethical, sentimental, regulatory, and data quality issues in market prediction, the future job market is heavily dependent on these criteria, particularly through effective risk management and fraud detection.
Keywords: artificial intelligence, Financial market, machine learning, Market prediction, Risk Management, Stock Market
Received: 31 Aug 2025; Accepted: 15 Dec 2025.
Copyright: © 2025 Rohan, Hossen, Pranto, Hossain, Yoshi and Islam. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Rakibul Islam
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