Header menu link for other important links
An approach to cryptocurrency price prediction using deep learning
, , A. Gayathri, S. Mahesh, R. Choudhary
Published in World Academy of Research in Science and Engineering
Volume: 9
Issue: 4
Pages: 5095 - 5102
Cryptocurrency such as Bitcoin, Ethereum etc. is increasingly well known nowadays among cryptocurrency miners and enthusiasts. Our goal is to estimate the various cryptocurrency accurately considering various parameters that impact the cost. We use various deep learning and machine learning algorithms to be able to recognize the value pattern on the closing value thus giving us the predicted price. The point of this is to determine the precision of cryptocurrency values utilizing various AI algorithms and predict their estimated prices. The dataset that we will be using contains consolidated financial information for the top 10 cryptocurrencies sorted by Market Cap which also have various attributes for each type of cryptocurrency such as open, close, high, low, value and date. Therefore, we are going to use Linear Regression, SGD Regression, Support Vector Regression, and LSTM algorithms to predict the various cryptocurrencies prices. © 2020, World Academy of Research in Science and Engineering. All rights reserved.
About the journal
JournalInternational Journal of Advanced Trends in Computer Science and Engineering
PublisherWorld Academy of Research in Science and Engineering