Background: Commodity markets are rapidly changing across the globe due to technological and financial innovations. The introduction of commodity exchanges futures trading has significantly affected their price discovery with ramifications for users traders. mechanism in is dynamic needs regular reassessment.

Gold is often used by investors as a hedge against inflation or adverse economic times. Consequently, it important for to have accurate forecasts of gold prices. This paper uses several machine learning tree-based classifiers (bagging, stochastic gradient boosting, random forests) predict the price direction and silver exchange traded funds. Decision tree bagging, forests predictions are much m...

Gold is a precious metal often used for investment, due to its cash-in ease and yearly value increase. This indicates that price forecasting determine the prospect of future gold prices. Strong highly desired by investors make decisions. That why technical indicators are very important forecasting. By using information obtained can be more informative than pure One commonly methods Backpropagat...