Volume 2 - Issue 1, January - February 2026

Artificial Intelligence (AI) models are used to predict stock market trends and help investors make better investment decisions. To study this topic, keywords related to AI and stock market prediction were searched in the Scopus and Web of Science databases. A total of 69 research titles were reviewed, and 43 systematic review papers covering more than 379 studies were examined. From these, ten studies were finally selected for detailed analysis. The study found that Support Vector Machines (SVM), Long Short-Term Memory (LSTM), and Artificial Neural Networks (ANN) are the most commonly used AI methods for predicting stock markets. Most prediction models mainly use historical closing stock prices as their data source. Accuracy is the most frequently used measure to evaluate model performance And the study also identified several research gaps and areas for future work. Future studies should explore additional data sources and their combinations, as well as compare different AI methods and strategies, since each method may perform better under certain conditions. Finally, better evaluation measures and standards are needed to clearly show the real usefulness and impact of stock market prediction models.

Mrs.Deepa V, Ms.Nivetha R,"A Hybrid Artificial Intelligence Framework for Stock Market Prediction Using Price, Sentiment and Macro Economic Indicators" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(1): Page(1250-1253) Jan-Feb 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.