A Generic Prediction of Nigeria Stock Exchange Market, Implementation Using Naive Bayes Model

Abstract

This paper researches on Nigerian Stock Exchange (NSE), which serves as a platform where industries and commercial ventures converge to raise the public capital that paves way for them to expand, and in the process they create new jobs, products, services and opportunities. The uncertainty on the market dynamics is undesirable. We present the Naive Bayes algorithm as a tool for predicting the Nigerian Stock Exchange Market, a transformation of the NSE data and subsequent implementation of the algorithm on the WEKA platform, and from the results obtained we concluded that the Naive Bayes provides an avenue for predicting the Nigerian Stock Exchange.