Crytocurrency price prediction using machine learning
Department of Information Technology Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala engineering College, Avadi, Chennai. 600062, Tamilnadu, India.
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2023, 08(01), 251–257.
Article DOI: 10.30574/wjaets.2023.8.1.0032
Publication history:
Received on 22 December 2022; revised on 03 February 2023; accepted on 06 February 2023
Abstract:
Cryptocurrencies are a digital way of money in which all transactions are held electronically. It is a soft currency which doesn’t exist in the form of hard notes physically. Here, we are emphasizing the difference of fiat currency which is decentralized that without any third-party intervention all virtual currency users can get the services. However, getting services of these cryptocurrencies impacts on international relations and trade, due to its high price volatility. There are several virtual currencies such as bit-coin, ripple, ethereum, ethereum classic, lite coin, etc. In our study, we especially focused on a popular cryptocurrency, i.e., bitcoin. From many types of virtual currencies, bitcoin has a great acceptance by different bodies such as investors, researchers, traders, and policy-makers. To the best of our knowledge, our target is to implement the efficient deep learning-based prediction models. Specifically long short-term memory (LSTM) and gated recurrent unit (GRU) to handle the price volatility of bitcoin and to obtain high accuracy. Our study involves comparing these two time series deep learning techniques and proved the efficacy in forecasting the price of bitcoin.
Keywords:
Bitcoin; Crytocurrency; Short-term memory (LSTM) and gated recurrent unit (GRU); Block chain
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Copyright © 2023 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0