Artificial Intelligence for Stock Prediction: A Bibliometric Review

Almost every sector has changed due to technology. FinTech is being used by financial analysts for data collection, insightful extraction, and prediction-making. The study looks on artificial intelligence research for stock prediction. Scopus was the database used for the bibliometric analysis. For the bibliometric study, VOS Viewer was utilized. The three most often mentioned nations were China, India, and the US. In contrast to conventional portfolio methodologies, the method employed in this study is data fusion, which yields a more precise and trustworthy assessment of the performance. Bibliographic coupling produced the formation of two clusters. Forecasting algorithms and event driven analysis were the emerging themes in usage of AI for stock prediction.