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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM20535

BITCOIN PRICE PREDICTIO USING MACHINE LEARNING

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM20535

Volume:

7 |

5 |

May 2023

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

M

Mr.M.Thirunavukkarasu

AD

A Deepika

KP

K Pavani

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Abstract

Several breakthroughs and developments have occurred in our rapidly expanding globe to suit the requirements of all people. As a result of technological advancements, the virtual currency was established in that race of evaluation. There are numerous methods for exchanging this virtual currency, including Ethereum, bitcoin, doge coin, lite-coin, tether, and so on. Bitcoin is a popular, safe, and reliable form of exchange. Here the goal is to see how well the direction of the Bitcoin price in USD can be predicted. The pricing information comes from the Bitcoin Price Index. Through implementation, the work is completed with varied degrees of success. The Random Forest performs the best in terms of classification accuracy. As a novel method of transaction systems, cryptocurrencies have caused a lot of investor bewilderment, and any rumors or news on social media have been alleged to have a substantial impact on the pricing of cryptocurrencies. It is a fascinating phenomenon that cannot be predicted and is taken into account in our work when there is a significant percentage increase or fall in the price of bitcoin within a short period of time.

KEYWORDS

Bitcoin Bitcoin price prediction Cryptocurrency Investments P2P transactions(Peer-to-Peer)

Cite This Article

Mr.M.Thirunavukkarasu, A Deepika, K Pavani, "BITCOIN PRICE PREDICTIO USING MACHINE LEARNING," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 5, May 2023. https://doi.org/10.55041/IJSREM20535

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Publication Date

9/4/2023

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Double-Blind Peer Review

Review Rounds: 2

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5

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The authors declare no conflict of interest related to this research work.

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