Gold Price Prediction using Machine Learning
Journal Title: International Journal of Trend in Scientific Research and Development - Year 2020, Vol 4, Issue 5
Abstract
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 countrys financial strength. In addition to government departments, numerous international companies and individuals have participated in gold reserves. In addition to the commoditys demand and supply on the market, the performance of the worlds 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. Theres 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 . 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, URL: https://www.ijtsrd.com/papers/ijtsrd33143.pdf Paper Url :https://www.ijtsrd.com/engineering/computer-engineering/33143/gold-price-prediction-using-machine-learning/dr-abhay-kumar-agarwal
Authors and Affiliations
Dr. Abhay Kumar Agarwal | Swati Kumari
Keywords
Related Articles
- EP ID EP689078
- DOI -
- Views 186
- Downloads 0
Optimal Energy and Network Lifetime Maximization using a Modified Bat Optimization Algorithm (MBAT) under Coverage Constrained Problems over Heterogeneous Wireless Sensor Networks
Recent years have witnessed an increasing interest in Wireless Sensor Networks (WSNs) for various applications such as environmental monitoring and military field surveillance. WSN have a number of sensor nodes that comm...
Modelling and Control of STATCOM in Power System under Fault Conditions
"This paper deals with compensation of frequently time-variable loads by means of 24 pulse STATCOM controllers. An different faults are considered as a heavily distributing load. The STATCOM system was used to ensure goo...
Application of Fuzzy Analytic Hierarchy Process and TOPSIS Methods for Destination Selection
Destination selection is one of the most become an extremely popular. Sometimes the terms tourism and tourism are used pejoratively to indicate a shallow interest in the societies or islands that traveler's tour. This sy...
Healthcare Sensors Issues, Challenges and Security Threats in Wireless Body Area Network A Comprehensive Survey
In recent events of the pandemic situation there is a heavy surge in the demand for health care applications for monitoring the vitals of the patients through real time monitoring of the human body. The major concerns wh...
Computational Investigation on the Effect of Fences on Aerodynamic Characteristics of an Aircraft Wing
A computational study, to improve the stall characteristics of wing at high angles of attack, with and without fence configuration is done here. Wing fences, also known as boundary layer fences and potential fences are f...