UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2304C15


Registration ID:
514182

Page Number

m145-m148

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Title

Forecasting Closing Price of Bitcoin Using a CNN-GRU Hybrid Neural Network Model

Abstract

Cryptocurrency market has grown to excess. In the last period, many companies and large investors have started to allocate part of their portfolio in digital currencies. This has aroused even more interest among the population. To date, the cryptocurrency market is highly volatile and large price changes can occur in hours, sometimes even minutes. Given the growing interest, numerous strategies for predicting the price of cryptocurrencies, or its trend, are placed under the lens of scholars and researchers. One of which is the application of Machine Learning techniques. The following work is aimed at studying the possible use of machine learning techniques, in the context of forecasting the closing price. The general idea is to implement models such as GRU, LSTM, CNN-GRU Hybrid neural network for predicting market trends as to maintain and safeguard the capital, thus protecting it from large losses and large negative fluctuations. In this study we will concentrate on one of the most renowned Cryptocurrency currently available in the market i.e., Bitcoin.

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"Forecasting Closing Price of Bitcoin Using a CNN-GRU Hybrid Neural Network Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.m145-m148, April-2023, Available :http://www.jetir.org/papers/JETIR2304C15.pdf

ISSN


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

"Forecasting Closing Price of Bitcoin Using a CNN-GRU Hybrid Neural Network Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. ppm145-m148, April-2023, Available at : http://www.jetir.org/papers/JETIR2304C15.pdf

Publication Details

Published Paper ID: JETIR2304C15
Registration ID: 514182
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: m145-m148
Country: mumbai, maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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