A Research on Designing of Gold Price Prediction

A Research on Designing of Gold Price Prediction

 Prof. Swati Shamkuwar

swati.shamkuwar@raisoni.net

Asst. Prof Dept of Information Technology

G.H. Raisoni College of Engineering, Nagpur.

1. 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