Graph Theory for Computer Science

24Graph-Based Model for Indian Stock Market Trends

Atul Bansal¹, K. Jothi², S. Jegadeeswari³*, M. Kalimuthu⁴, T. Rajendran⁵ and S. Sridhar⁶

¹Department of Accounting, University of Bahrain, Sakhir, Kingdom of Bahrain

²Department of Commerce, KPR College of Arts Science and Research, Coimbatore, India

³Department of Commerce, Karpagam Academy of Higher Education, Coimbatore, India

⁴Department of Commerce, Dr. NGP College of Arts and Science College, Coimbatore, Tamil Nadu, India

⁵Department of Sustainable Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India

⁶Department of Research, Rajalakshmi Institute of Technology, Chennai, India

Abstract

Predicting the equity market is an important task because investing in the equity market is linked to an increased level of risk and a significant research area in the domain of finance. The advent of computationally intelligent technologies has made it possible to alleviate a substantial part of the risks. Deep learning (DL) offers a number of benefits, the most significant of which are the automated feature learning, the multilayer feature learning, the higher efficiency in outputs, the higher power generalization, and the detection of newer data. As a result, the objective of this research is to propose a prediction model to predict the closing price of the stocks using DL models. In this paper, a hybrid stock price prediction model is proposed using the DL and statistical model ...