Gold price prediction using transformers

Gold price prediction using transformers

Gold is a cornerstone asset of human history, and its price can fluctuate depending on various circumstances, therefore, being able to predict the price of gold is an essential task in financial forecasting, as it impacts economic strategies and investment decisions. Previously, classical methods...

Full description

Saved in:
Bibliographic Details
Main Author: Wong, Stanley Qi Ren
Other Authors: Wang Lipo
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
Online Access:https://hdl.handle.net/10356/172705
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
Description
Summary:Gold is a cornerstone asset of human history, and its price can fluctuate depending on various circumstances, therefore, being able to predict the price of gold is an essential task in financial forecasting, as it impacts economic strategies and investment decisions. Previously, classical methods like ARIMA and GARCH were used to predict prices. With the rise of neural networks, ML and AI methods like LSTM show better performances compared to classical methods. Transformers have asserted their dominance in the field on NLP when compared to LSTM, this investigation is to determine whether they can perform better than other methods and how can it be optimized for forecasting the price of gold.

Similar Items