UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Volume 11 | Issue 5 | May 2024

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2404995


Registration ID:
537626

Page Number

j791-j799

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Title

Research on Bitcoin Price Prediction using Machine Learning

Abstract

Bitcoin is a kind of Cryptocurrency and now is one type of investment on the stock market. Stock markets are influenced by many factors. And bitcoin is one kind of cryptocurrency that keeps rising in recent years, and sometimes suddenly falls without knowing the influence behind it on the stock market. Because it’s fluctuations, there’s a need for an automation tool to predict bitcoin on the stock market. This research study learns how to create model prediction bitcoin stock market prediction using LSTM, LSTM (Long Short-Term Memory) is another type of module provided for RNN later developed and popularized by many researchers, like RNN, the LSTM also consists of modules with recurrent consistency. The Method that we apply to this research, also technique and tools to predict Bitcoin on the stock market.

Key Words

Cryptocurrency, Bitcoin prediction, Bitcoin Stock Market Prediction, LSTM.

Cite This Article

"Research on Bitcoin Price Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.j791-j799, April-2024, Available :http://www.jetir.org/papers/JETIR2404995.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Research on Bitcoin Price Prediction using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppj791-j799, April-2024, Available at : http://www.jetir.org/papers/JETIR2404995.pdf

Publication Details

Published Paper ID: JETIR2404995
Registration ID: 537626
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: j791-j799
Country: Yavatmal, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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