research

Gold Market Analyzer using Selection based Algorithm

Abstract

Gold is the most important and valuable element right from its discovery. It is the most significant element at present and also the most valuable asset to. In the present market scenario the investors use gold as the security for their shares investment. During International trade all the countries use gold as their main mode of transaction. It is seen that all the currencies accepted by the International market are having the gold as the backup for their economy. The prices of gold are rising day by day continuously. As we see in the history of gold market the present prices of gold are much high as compare to the past values and that's why the gold market has attracted the most attention. The paper focus on the continuous changing in the gold rates, investment policies depend on the forecasting of trends in gold which will help the data mining companies to minimize the risk The description of the future situation on the basis of present trends is just not limited to the forecasting the prices. The knowledge discovers by the data mining techniques is gathered from the different gold related websites and also from the jewellers database. It is much more important for the ornaments making companies to know the demand and the requirements for the ornaments during the unstable (uncertain) market conditions. For the classification purpose the maid and sale database was gathered from the nearest jewellery shops of the past 5 years. The prediction is done after complete analysis of the gathered data set. With this the paper concentrate on making the information available about the government and private schemes related to gold market on one place. The paper proposes the system that gives the total access to the registered user and limited access to the unregistered user to get the required information of gold. The latest updates are provided to the registered user by sending mail or text message when the user was offline

    Similar works

    Full text

    thumbnail-image

    Available Versions

    Last time updated on 09/07/2019