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Gold Price Prediction using Machine Learning

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Gold Price Prediction using Machine Learning


Dr. Abhay Kumar Agarwal | Swati Kumari



Dr. Abhay Kumar Agarwal | Swati Kumari "Gold Price Prediction using Machine Learning" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-5, August 2020, pp.1448-1456, URL: https://www.ijtsrd.com/papers/ijtsrd33143.pdf

Historically, among other payment forms, gold has been used to fund trading purchases around the globe. Several states have retained and increasing their gold deposits, and have been known as democratic and prosperous nations. Actually, precious metals such as gold are kept by central banks in all countries to guarantee external debt servicing, and even to manage inflation. Furthermore it also reflects the country's financial strength. In addition to government departments, numerous international companies and individuals have participated in gold reserves. In addition to the commodity's demand and supply on the market, the performance of the world's leading economies also greatly influences gold rates. This rise in gold value coupled with volatility and falling prices from other markets such as capital markets and real estate markets has attracted more and more investors to gold as an attractive investment. Although there is still strong uncertainty of the late gold market, and transactions in gold are getting more dangerous. There's a fear that those high prices will be sustainable and that the prices will reverse. Although there are a number of studies that analyze the correlation between the gold price and certain economic variables. Machine learning was often applied to predicting financial variables, but usually focused on predicting stocks rather than commodities. In this study, we proposed the development of forecasting model for predicting future gold price using Linear Regression (LR).

Gold ETF, Price prediction, Machine Learning, Supervised Learning, Linear Regression, Python


IJTSRD33143
Volume-4 | Issue-5, August 2020
1448-1456
IJTSRD | www.ijtsrd.com | E-ISSN 2456-6470
Copyright © 2019 by author(s) and International Journal of Trend in Scientific Research and Development Journal. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)

International Journal of Trend in Scientific Research and Development - IJTSRD having online ISSN 2456-6470. IJTSRD is a leading Open Access, Peer-Reviewed International Journal which provides rapid publication of your research articles and aims to promote the theory and practice along with knowledge sharing between researchers, developers, engineers, students, and practitioners working in and around the world in many areas like Sciences, Technology, Innovation, Engineering, Agriculture, Management and many more and it is recommended by all Universities, review articles and short communications in all subjects. IJTSRD running an International Journal who are proving quality publication of peer reviewed and refereed international journals from diverse fields that emphasizes new research, development and their applications. IJTSRD provides an online access to exchange your research work, technical notes & surveying results among professionals throughout the world in e-journals. IJTSRD is a fastest growing and dynamic professional organization. The aim of this organization is to provide access not only to world class research resources, but through its professionals aim to bring in a significant transformation in the real of open access journals and online publishing.

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