Stock Price Prediction Using Clustering and Regression: A Review

Abstract

Prediction of stock market has been an attractive topic to the stock brokers. In stock market the decision on when buying or selling stock is important in order to achieve profit. There are number of techniques that can be used to help investors in order to make a decision for financial gain. In this research work I have propose a prediction algorithm that will give the relation between the dependent factor like price and independent factors like opening price, closing price, high value of stock, low value of stock and volume of stocks bought. In this research I have explained development of stock price prediction with the use of regression analysis and clustering algorithm. Here clustering algorithm is used to partitioning the data and it also gives the high performance, and regression is used to predict the stock price of a company for a particular date.