Stock Price Prediction for Colombo Stock Exchange Using Data Mining Techniques

Abstract

This paper researches about various data mining techniques which can be used in analyzing and forecasting the stock market, which is always considered as a research challenge due to its stochastic behavior. It is a well known fact that stock returns does not only depend on the past stock data but on various external factors. Therefore this research tries to identify such factors affecting the Colombo Stock Exchange and incorporate them into the prediction model. In order to achieve the said objectives prediction is carried out using various external factors, data mining models and tools affecting the stock prices. Finally the accuracy of the developed data mining models are compared with each other and with actual price data to figure out the accuracy of each, and suitability of the factors & models compared on the stock prices