Emerging Trends in AI-Based Stock Market Prediction: A Comprehensive and Systematic Review
Author:
Affiliation:
1. Department of Computer Engineering, UVPCE, Ganpat University, Mehsana 384012, Gujarat, India
2. Department of Information Technology, UVPCE, Ganpat University, Mehsana 384012, Gujarat, India
Publisher
MDPI
Link
https://www.mdpi.com/2673-4591/56/1/254/pdf
Reference27 articles.
1. Machine learning approaches in stock market prediction: A systematic literature review;Mintarya;Procedia Comput. Sci.,2023
2. Chaudhari, K., and Thakkar, A. (2023). Neural network systems with an integrated coefficient of variation-based feature selection for stock price and trend prediction. Expert Syst. Appl., 219.
3. Stock Prediction by Integrating Sentiment Scores of Financial News and MLP-Regressor: A Machine Learning Approach;Maqbool;Procedia Comput. Sci.,2023
4. Enhancing stock market anomalies with machine learning;Azevedo;Rev. Quant. Finance Account.,2022
5. The applications of artificial neural networks, support vector machines, and long–short term memory for stock market prediction;Chhajer;Decis. Anal. J.,2021
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