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/v10i230241Abstract
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.
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Cited by 22
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Milon Biswas, Jabed Al Faysal, Kazi Asif Ahmed · 2021 International Conference on Science & Contemporary Technologies (ICSCT) · 2021
Chhaya Patel, Ashwin Raiyani · AIP Conference Proceedings · 2023
Nadia Afrin Ritu, Samsun Nahar Khandakar, Md. Masum Bhuiyan · Journal of Computer and Communications · 2025
Ahmet Akusta · Kırklareli Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi · 2025
Himanshu Goel, Monika Agarwal, Meghna Chhabra · Folia Oeconomica Stetinensia · 2023
Syaharuddin, Fatmawati, Herry Suprajitno · AIP Conference Proceedings · 2022
Mifta Ul Jannat, Raju Ahamed, Al Mamun · 2021 International Conference on Science & Contemporary Technologies (ICSCT) · 2021
Panzhang Xiao · International Journal of Information System Modeling and Design · 2024
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