vioft2nntf2t|tblJournal|Abstract_paper|0xf4ff9c5e27000000886e010001000500 Currently, Cryptocurrency is one of the trending areas of research among researchers. Many researchers may analyze the cryptocurrency features in several ways such as market price prediction, the impact of cryptocurrency in real life and so on. In this paper, we focus on market price prediction of the number of cryptocurrencies based on their historical trend. For our study, we tried to understand and identify the daily trends in the cryptocurrency market which analyzing the features related to the price of cryptocurrency. Our dataset consists of over nine features relating to the cryptocurrency price recorded daily over the period of 6 months. We applied some machine-learning algorithms to predict the daily price change of cryptocurrencies.
Ruchi Mittal, Shefali Arora, M.P.S Bhatia
Netaji Subhas Institute of Technology, India
Cryptocurrency, Bitcoin, Decentralization, Network, Price Prediction
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| Published By :
ICTACT
Published In :
ICTACT Journal on Soft Computing
( Volume: 8 , Issue: 4 , Pages: 1758-1761 )
Date of Publication :
July 2018
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644
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