WCSE

Estimating Prediction Accuracy of Stock Price Using Artificial Neural Network

Abstract—Presently, all over the world, an enormous amount of investment is being made to the Stock Markets. Nationwide economic systems are sturdily associated and closely inclined to the achievement of their Stock Markets. Additionally, nowadays, trading has become too reachable capital expenditure medium, for both planned investors as well as common man also. Artificial Neural Networks (ANN), which is a subset of Artificial Intelligence (AI), is a way that is anticipated to select out samples (styles) and gain an information model. Significant dispositions of ANN are its capability for precise troubles with step by step analyzing and input-output mapping. The neural network is a superior big approach to categorize anonymous, unnoticed samples in input values that is suitable to be looking for the inventory market. Feed forward neural networks with back propagation schooling algorithms were taken via way of the use of way humans to make predictions.

Index Terms—price prediction; national stock exchange; artificial neural networks; machine learning

H L Gururaj
Department of CSE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, INDIA
Hong Lin
Department of CS, University of Houston, Downtown, USA
B R Sunil Kumar
Department of CSE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, INDIA
Manu M N
Department of ISE, SJBIT, Bengaluru, Karnataka, INDIA
Ravi Kumar V
Department of CSE, Vidyavardhaka College of Engineering, Mysuru, Karnataka, INDIA

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Cite: H L Gururaj, Hong Lin, B R Sunil Kumar, Manu M N, Ravi Kumar V, "Estimating Prediction Accuracy of Stock Price Using Artificial Neural Network, " Proceedings of 2022 the 12th International Workshop on Computer Science and Engineering (WCSE 2022), pp. 176-185, June 24-27, 2022.