Stock Market Prediction System: A Wavelet based Approach

Authors

S. Saravanan, Department of Management Studies, University College of Engineering, Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, India.Follow
S. Mala, Department of Management Studies, University College of Engineering, Anna University, BIT Campus, Tiruchirappalli, Tamil Nadu, India.Follow

Author Country (or Countries)

India.

Abstract

This work concentrates on computational approach for predicting the interval (number of trading days), a significant feature of stock market analysis using Haar Wavelet. A distinct model is proposed for predicting the high value of returns. The prime objective is to understand the trends using Haar wavelet and use this information to determine the interval for future direction. This model used 85 securities closing price and validated 4355 trading days. The results reported at 200 recent trading days with an average accuracy of 45.88% on 85 securities over a period of 15 years.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/journal/100312

Recommended Citation

Saravanan, S. and Mala, S. (2018) "Stock Market Prediction System: A Wavelet based Approach," Applied Mathematics & Information Sciences: Vol. 12: Iss. 3, Article 12.
DOI: http://dx.doi.org/10.18576/journal/100312
Available at: https://digitalcommons.aaru.edu.jo/amis/vol12/iss3/12