Machine Learning Algorithms for Prediction of Stock Market: A Systematic Literature Review

In this paper, we thoroughly examine and contrast a variety of AI/ML algorithms, each of which is designed to tackle a different aspect of stock market prediction. Our investigation examines the use of AI/ML algorithms in each of the three key fields of stock prediction. Three main factors-fundamental, technical, and sentimental analysis-are usually used to make stock market predictions. We create and use a model that performs very well, reaching an astonishing 85% accuracy rate by building on the knowledge gathered from earlier studies. This methodology also produced a significant 10.28% return in our portfolio over the past three months and an astounding 175% return over the previous year. This study provides a thorough investigation of the potential and effectiveness of AI/ML algorithms in stock prediction, providing insightful information for both investors and researchers.