The Application of Financial Technologies for Predictive and Visual Analytics

Abstract

Fintech, or Financial Technology, is growing in popularity as financial services become highly integrated with back-end information systems and technologies for end-consumer use. Technology that used to be in the background and used only by financial professionals are now available for end-users who need financial services at their fingertip, especially those who invest and trade ubiquitously. As more investors and traders manage their own stock portfolio without the help of human brokers, the need for predictive and visual financial analytics to manage a self-maintained financial portfolio is critical. There are a growing number of special services for investors and traders, who demand detailed analyses of their investments and financial derivatives. The objective of this paper is to contribute more teaching cases in financial analytics classes that involves stock trading. The paper examines how various services provide predictive financial analytics using data mining, intelligent algorithms, and visual analytics and have students in finance who manage their own simulated financial portfolio to use these Fintech tools to improve their stock trading strategies.