Ensemble Regression-Based Gold Price (XAU/USD) Prediction
Journal Title: Journal of Emerging Computer Technologies - Year 2022, Vol 2, Issue 1
Abstract
The prediction of any commodities such as cryptocurrency, stocks, silver, gold is a challenging task for the investors, researchers, and analysts. In this work, we propose a model that forecasts the value of 1 ounce of gold in dollars by using regression ensemble-based approaches. To our knowledge, this is the very first study in terms of combining regression models for the prediction of XAU/USD index although there are plenty of methods employed in the literature to forecast the price of gold. The contributions of this study are fivefold. First, the dataset is gathered between July 2019 and July 2020 from global financial websites in the world, and cleaned for modeling. Then, feature space is extended with technical and statistical indicators in addition to opening, closing, highest, lowest prices of gold index. Next, different regression and ensemble-based regression models are carried out. These are linear regression, polynomial regression, decision tree regression, random forest regression, support vector regression, voting regressor, stacking regressor. Experiment results demonstrate that the usage of stacking regression combination model exhibits considerable results with 2.2036 of MAPE for forecasting the price of XAU/USD index.
Authors and Affiliations
Zeynep Hilal Kilimci
Log Analysis with Hadoop MapReduce
Pretty much every part of life now results in the generation of data. Logs are documentation of events or records of system activities and are created automatically through IT systems. Log data analysis is a process of m...
Coding Schemes for DNA Patient Record Processing to Electronic Health Records Systems
Lately, electronic health record (EHR) systems became very popular in medical technology. The main aim of such systems is to perform a digital version of a patient’s paper chart. EHRs are real-time, patient-centered reco...
Digital Twin Based Disaster Management System Proposal: DT-DMS
The damage and the impact of natural disasters are becoming more destructive with the increase of urbanization. Today's metropolitan cities are not sufficiently prepared for the pre and post-disaster situations. Digital...
Semantic Web and Hospital Appointment Ontology
Ontologies are a very important element for applications. They are used in many areas such as management information systems, e-commerce applications. Ontologies also play a major role in the new technology called Web 3....
Secure Connection between Google Home and IoT Device
This article presents a more secure connection between the NodemCU and Blynk, using the AES algorithm. it is aimed to prevent a vulnerability in the connection of Google Home devices with IoT during the Blynk IoT connect...