Gold Price Predicting with Machine Learning Algorithm
DOI:
https://doi.org/10.5281/zenodo.6168294Keywords:
Price Prediction, Machine LearningAbstract
— The article is made on the basis of a
study held to find out whether any relation of gold with
other particular factors influence its price in the global
market. Those factors are specifically SPX, USO,
Silver price and Currency pair quotation of the Euro
against the US. The price data of almost every working
day from January 02 2008 to May 16 2018 were used
to conduct the study. Three of the Machine Learning
algorithms namely, Decision Tree Regressor, XGB
Regressor and Random Forest Regressor, were used in
analyzing the set of data. After analyzing the whole
data, the best result was obtained by the decision tree
regressor and the xgb regressor. So we took xgb for
further data model building.