Big Data Analytics for Gold Price Forecasting Based on Decision Tree Algorithm and Support Vector Regression (SVR)

Navin, Dr. G. Vadivu

Abstract: Develop a forecasting model for predicting and forecasting gold prices based on economic factors such as inflation, currency price movements and others. For investing the money, investors are putting their money into gold because gold plays an important role as a stabilizing influence for investment portfolios. Due to the increase in demand for gold in India, it is necessary to develop a model that reflects the structure and pattern of gold market and forecast movement of gold price. The most appropriate approach to the understanding of gold prices Support vector Regression and decision tree model. The experimental result will show the better performance from these two (Decision tree algorithm and support vector regression algorithm) algorithms.

Keywords: R, RHadoop, SVR Support Vector Regression, Decision tree, Gold price