Graph Theory for Computer Science

23Prediction of Stock Market Prices Using Real-Time Stock Data with Graph Models and Deep Learning

NadhaSha¹, B. Ganesh², Ajesh Kumar, P.S.³, D. Vishnu Vardhan⁴ and Smruthymol J.⁴*

¹Department of Management, Dhofar University, Salalah, Oman

²Department of Management, AM Maxwell International Institute for Education and Research, Bengaluru, India

³Department of Management, Faculty and Statistical Analyst, AM Maxwell International Institute for Education and Research, Bengaluru, India

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

Abstract

Accurate financial forecasting can be difficult because it is difficult to accurately predict how the stock market will behave. The stock ranking forecast and creating legitimate portfolio plans are presently key areas of exploration since the globalizations of the monetary business sectors and economy in this day and age. While attempting to foresee stock costs utilizing a mix of stock specialized pointers (STIs) and monetary information, one of the initial steps that ought to be taken is the dimensionality decrease of the features. In this paper, a dimensionality decrease and profound learning strategies are incorporated to foster a stock cost expectation model. For the dimensionality decrease, head part investigation (PCA) is applied, and, for the expectation, convolutional brain organization (CNN) is applied. The exploration model used six STIs in the applied datasets. For this work, the verifiable stock ...