Utilizing Machine Learning and Deep Neural Network Model for Crypto Currency Price Prediction

Registration ID: IJNRD_195803

Published ID: IJNRD2305636

DOI: Click Here to Get

Mayank Chaudhary , Anant Kumar Jayswal

Crypto currency, Correlation, RMSE, Multivariate Linear Regression, MARS, ANN, Random Forest, SVM, Bootstrap Aggregation, Decision Tree, XG Boost, LSTM, crypto index.

For several decades now, the accurate and precise forecasting of the values of crypto currency index values has been a significant topic of study. In this paper, we present a hybrid modeling strategy based on two parameters which are moment correlation coefficient and root mean square error (RMSE) for predicting crypto currency prices by constructing deep learning and machine learning based models which are multivariate linear regression, MARS, artificial neural network (ANN), random forest, support vector machine (SVM), bootstrap aggregation, decision tree, extreme gradient boosting (XG Boost) and long short term memory (LSTM). We utilized the crypto index data from the online crypto currency exchange from April 1, 2021, to March 31, 2023, pertaining to the analysis we're doing. With the assistance of the training data, which included crypto index records from April 1, 2021, to December 31, 2022, we created eight regression models. Using these models, we forecasted the crypto index open values across the time frame from January 01, 2023, to March 31, 2023, and found that the Long Short Term Memory (LSTM) model was the most precise.

Published Paper   E-Certificate

Mayank Chaudhary & Anant Kumar Jayswal (May-2023). Utilizing Machine Learning and Deep Neural Network Model for Crypto Currency Price Prediction. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), g296-g300. https://ijnrd.org/papers/IJNRD2305636.pdf

Volume 8 Issue 5, May-2023

Pages : g296-g300

Paper Reg. ID: IJNRD_195803

Published Paper Id: IJNRD2305636

Downloads: 000121983

Research Area: Science & Technology

Country: Ghaziabad, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305636.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2305636

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJNRD (IJ Publication) Janvi Wave | IJNRD.ORG | IJNRD.COM | IJPUB.ORG

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition

Call For Paper - Volume 10 | Issue 10 | October 2025

IJNRD is a Scholarly Open Access, Peer-reviewed, and Refereed Journal with a High Impact Factor of 8.76 (calculated by Google Scholar & Semantic Scholar | AI-Powered Research Tool). It is a Multidisciplinary, Monthly, Low-Cost Journal that follows UGC CARE 2025 Peer-Reviewed Journal Policy norms, Scopus journal standards, and Transparent Peer Review practices to ensure quality and credibility. IJNRD provides indexing in all major databases & metadata repositories, a citation generator, and Digital Object Identifier (DOI) for every published article with full open-access visibility.

The INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (IJNRD) aims to advance applied, theoretical, and experimental research across diverse fields. Its goal is to promote global scientific information exchange among researchers, developers, engineers, academicians, and practitioners. IJNRD serves as a platform where educators and professionals can share research evidence, models of best practice, and innovative ideas, contributing to academic growth and industry relevance.

Indexing Coverage includes Google Scholar, SSRN, ResearcherID-Publons, Semantic Scholar (AI-Powered Research Tool), Microsoft Academic, Academia.edu, arXiv.org, ResearchGate, CiteSeerX, ResearcherID (Thomson Reuters), Mendeley, DocStoc, ISSUU, Scribd, and many more recognized academic repositories.

How to submit the paper?

By Our website

Click Here to Submit Paper Online

By Mail

Send your paper to editor@ijnrd.org

Important Dates for Current issue

Paper Submission Open For: October 2025

Current Issue: Volume 10 | Issue 10 | October 2025

Impact Factor: 8.76

Last Date for Paper Submission: Till 31-Oct-2025

Notification of Review Result: Within 1-2 Days after Submitting paper.

Publication of Paper: Within 01-02 Days after Submititng documents.

Frequency: Monthly (12 issue Annually).

Journal Type: IJNRD is an International Peer-reviewed, Refereed, and Open Access Journal with Transparent Peer Review as per the new UGC CARE 2025 guidelines, offering low-cost multidisciplinary publication with Crossref DOI and global indexing.

Subject Category: Research Area

Call for Paper: More Details