Real-time Big Data Analytics for Financial Markets

Abstract

Financial markets are constantly generating new data, which can be used to make better investment decisions. However, the real-time processing of big data in financial markets is challenging due to the high volume and velocity of the data. This research topic seeks to develop real-time big data analytics methods for financial markets.
Gap: Existing real-time big data analytics methods for financial markets are often not accurate enough to make reliable investment decisions. This research topic seeks to develop new methods that can improve the accuracy of real-time big data analytics for financial markets.