Integrating Fibonacci Retracement To Improve Accuracy of Time Series Prediction of Gold Prices

Integrating Fibonacci Retracement To Improve Accuracy of Time Series Prediction of Gold Prices

The prediction of gold prices is crucial for investors and policymakers due to its significant impact on global financial markets. Machine learning and deep learning have been used for predicting gold prices on time series data. This study employs MLR, SVM and CNN LSTM with Fibonacci retracement le...

Full description

Saved in:
Bibliographic Details
Main Authors: Bagus Priambodo, Ruci Meiyanti, Samidi Samidi, Gushelmi Gushelmi, Rabiah Abdul Kadir, Azlina Ahmad
Format: Article
Language:English
Published: Yayasan Pendidikan Riset dan Pengembangan Intelektual (YRPI) 2025-06-01
Series:Journal of Applied Engineering and Technological Science
Subjects:
Predict Gold Price
Multiple Linear Regression
Fibonacci
SVM
CNN-LSTM
Online Access:http://journal.yrpipku.com/index.php/jaets/article/view/6073
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items