UGC Approved Journal no 63975(19)

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

Volume 10 Issue 3
March-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIRFV06024


Registration ID:
510489

Page Number

123-127

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Title

GOLD PRICE PREDICTION USING MACHINE LEARNING TECHNIQUE

Abstract

This paper predicts the gold EFT price based on the previous year’s gold price data. Inventory forecasting plays a crucial role in the financial success of the business. Buying Gold ETFs implies buying gold in an electronic form. Buying and selling gold ETFs are just like to trading stocks. The claim of Gold ETF will not get actual gold but receive the cash equivalent. Machine learning technique is applied to predict financial variables and focused on predicting the gold price ETF using a linear regression algorithm. The dataset used is a numerical dataset. The main goal of this project is to forecast the rise and fall in the daily gold rates that can help investors to decide when to buy or sell the gold.

Key Words

Prediction, Machine learning , Regression and Gold ETF

Cite This Article

"GOLD PRICE PREDICTION USING MACHINE LEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.123-127, March-2023, Available :http://www.jetir.org/papers/JETIRFV06024.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

"GOLD PRICE PREDICTION USING MACHINE LEARNING TECHNIQUE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. pp123-127, March-2023, Available at : http://www.jetir.org/papers/JETIRFV06024.pdf

Publication Details

Published Paper ID: JETIRFV06024
Registration ID: 510489
Published In: Volume 10 | Issue 3 | Year March-2023
DOI (Digital Object Identifier):
Page No: 123-127
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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