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Research Article Open access CC BY 4.0

Stock Market Prediction on High-Frequency Data Using ANN

Arafat Jahan Nova, Zahada Qurashi Mim, Sanjida Rowshan, Md. Riad Ul Islam, Md Nurullah, Milon Biswas

Asian Journal of Research in Computer Science · pp. 1–12 · Published 6 Jul 2021

10.9734/ajrcos/2021/v10i230241

Abstract

A stock market is a place where company shares are traded to the stockbrokers. Stock price prediction is one of the most challenging problems as a high level of accuracy is the key factor in predicting a stock market. Many methods are used to predict the price in the stock market but none of those methods are proved as a consistently acceptable prediction tool due to its volatile nature. In this paper, we proposed Artificial Neural Network (ANN) technique because ANN can generalize and predict data after learning and analyzing from the initial inputs and their relationships. We used feed forward network and backward propagation algorithm to predict stock prices. In this paper, we introduced a method that can find out the future value of stock prices in a particular day based on some input using ANN back propagation algorithm.

Artificial neural networks stock market stock price feed forward artificial neural networks backward propagation algorithm

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Cited by 22

Stock Price Movements Predictions Using Deep Learning

Niranjan C Kundur, Anil B C, Praveen M Dhulavvagol · 2025 First International Conference on Intelligent Computing and Communication Systems (CICCS) · 2025

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