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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM19580

A Research on Designing of Gold Price Prediction

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM19580

Volume:

7 |

4 |

Apr 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

PSS

Prof. Swati Shamkuwar

DS

Divyanshu Sindpure

HD

Himanshu Dhanvijay

KP

Khush Patle

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Abstract

Gold has historically been used for funding foreign trade transactions together with various additional forms of payment. Some states preserved and even expanded their gold investments and were regarded as successful, developing nations. These days, valuable metals like gold are held by all national central banks as proof for the compensation of foreign debts and a measure of containing inflation. It also demonstrates how sound the nation’s finances are. Government agencies are not the only owners of gold reserves; other multinational companies and private individuals have additionally made acquisitions. At traditional Asian events, gold is also offered as gifts or memorials. India, Pakistan, and other countries also send gold jewellery as dowry. Gold prices are strongly impacted by the economic condition of the world’s major economies as well as the amount of demand and supply for the precious resource on the market. We predict gold prices using 22 market factors and machine learning techniques. The results show that we are quite proficient at predicting daily gold rates. Our prediction algorithms may be used by investors and central banks to assist with determining whether they want to buy this asset.

KEYWORDS

Gold rate Forecasting Linear regression Correlation Neural Networks

Cite This Article

Prof. Swati Shamkuwar, Divyanshu Sindpure, Himanshu Dhanvijay, Khush Patle, "A Research on Designing of Gold Price Prediction," International Journal of Scientific Research in Engineering and Management, vol. 7, no. 4, Apr 2023. https://doi.org/10.55041/IJSREM19580

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Publication Date

4/27/2023

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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

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