AUTOMATED CRYPTOCURRENCIES PRICES PREDICTION USING MACHINE LEARNING

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ID: 101865
2018
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Abstract
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.
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mittal2018automatedictact Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Mittal, Ruchi;Arora, Shefali;Bhatia, M.P.S;
Journal ictact journal on soft computing
Year 2018
DOI
DOI not found
URL
http://ictactjournals.in/ArticleDetails.aspx?id=3521
Keywords
Medicine (General) Science business economics as a science economic theory. demography law computer engineering. computer hardware industrial engineering. management engineering

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