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IoT 24(1):

Research Article

Prediction and Analysis of Bitcoin Price using Machine learning and Deep learning models

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  • @ARTICLE{10.4108/eetiot.5379,
        author={Vinay Karnati and Lakshmi Dathatreya Kanna and Trilok Nath Pandey and Chinmaya Kumar Nayak},
        title={Prediction and Analysis of Bitcoin Price using Machine learning and Deep learning models},
        journal={EAI Endorsed Transactions on Internet of Things},
        volume={10},
        number={1},
        publisher={EAI},
        journal_a={IOT},
        year={2024},
        month={3},
        keywords={Cryptocurrency, Cryptography, Blockchain, Machine Learning, Bitcoin, Dogecoin, Monero, Litecoin},
        doi={10.4108/eetiot.5379}
    }
    
  • Vinay Karnati
    Lakshmi Dathatreya Kanna
    Trilok Nath Pandey
    Chinmaya Kumar Nayak
    Year: 2024
    Prediction and Analysis of Bitcoin Price using Machine learning and Deep learning models
    IOT
    EAI
    DOI: 10.4108/eetiot.5379
Vinay Karnati1, Lakshmi Dathatreya Kanna1, Trilok Nath Pandey1,*, Chinmaya Kumar Nayak2
  • 1: Vellore Institute of Technology University
  • 2: Sri Sri University
*Contact email: triloknath.pandey@vit.ac.in

Abstract

High Accessibility and Easy Investment makes Cryptocurrency an important income source for many people. Cryptocurrency is a kind of Digital/Virtual currency which is created using blockchain Technology and is protected by Cryptography. Cryptocurrencies enables users to Accept, Transfer and request the capital between the Users without the requirement of intermediaries such as banks. Now a day many Cryptocurrencies are available across the world such as Bitcoin, Litecoin, Monero, Dogecoin etc. This study is more determined over a very famous and demanding Cryptocurrency known as Bitcoin over the past years. Here, firstly we make an effort to predict the price of bitcoin by examining numerous numbers of parameters that affect the cost of bitcoin. Different kinds of Machine learning models will be used to estimate the price of Bitcoin. This study provides the accuracy and precision of each model that are used in this study and determine the suitable method to estimate the price more accurately.

Keywords
Cryptocurrency, Cryptography, Blockchain, Machine Learning, Bitcoin, Dogecoin, Monero, Litecoin
Received
2023-12-19
Accepted
2024-03-07
Published
2024-03-12
Publisher
EAI
http://dx.doi.org/10.4108/eetiot.5379

Copyright © 2024 V. Karnati et al., licensed to EAI. This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.

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