Graph Theory for Computer Science

19A Graph Analysis Model for Predicting Stock Market Trends Using Deep Learning

J. Sudarvel¹*, M. Kalimuthu², Atul Bansal³, D. Vishnu Vardhan⁴, T. Rajendran⁵ and S. Sridhar⁶

¹Department of Management, Karpagam Academy of Higher Education, Coimbatore, India

²Department of Commerce, Dr. NGP College of Arts and Science College, Coimbatore, Tamil Nadu, India

³Department of Accounting, University of Bahrain, Sakhir, Kingdom of Bahrain

⁴Department of Commerce, Karpagam Academy of Higher Education, Coimbatore, 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

The prediction of possible directions or future prices of the stocks or index is the objective of stock market forecasting, which is a type of time-series problem. Because the stock data is subject to a significant degree of uncertainty and is impacted by an excessive number of elements, it is not simple to accomplish the objective using conventional time-series methods. The ability to forecast changes in stock market prices has been achieved through the use of a variety of methods, including deep learning (DL) and machine learning models. In this research, a hybrid stock price–forecasting model is proposed using the DL and neural network model to forecast the two international stock market data. As a result, the objective of this research is to propose ...