Using Neural Network Architectures for Intraday Trading in the Gold Market

Srinivas Devarajula, Vitaliy Milke, Cristina Luca

2023

Abstract

Financial market forecasting is used to assess the future value of financial instruments in various exchange and over-the-counter markets. Investors have a high interest in the most accurate prediction of the financial instruments’ prices. Inaccurate forecasting might result in a significant financial loss in certain circumstances. This research aims to determine the most probabilistic deep learning model that can improve price forecasting in the financial markets. In this research, Convolutional Neural Networks and Long Short-Term Memory are used for the experiments to forecast the Gold price movements on the Forex market. The Gold(XAU/USD) dataset is used in this research to predict the prices for the next minute. The models proposed have been evaluated using Mean squared error, Mean absolute error, and Mean absolute percentage error metrics. The results show that the Convolutional Neural Network has performed better than the Long Short-Term Memory network and has the potential to predict the price for next minute with a low error rate.

Paper Citation

in Harvard Style

Devarajula S., Milke V. and Luca C. (2023). Using Neural Network Architectures for Intraday Trading in the Gold Market. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART, ISBN 978-989-758-623-1, pages 885-892. DOI: 10.5220/0011794400003393

in Bibtex Style

@conference{icaart23,
author={Srinivas Devarajula and Vitaliy Milke and Cristina Luca},
title={Using Neural Network Architectures for Intraday Trading in the Gold Market},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
year={2023},
pages={885-892},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011794400003393},
isbn={978-989-758-623-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,
TI - Using Neural Network Architectures for Intraday Trading in the Gold Market
SN - 978-989-758-623-1
AU - Devarajula S.
AU - Milke V.
AU - Luca C.
PY - 2023
SP - 885
EP - 892
DO - 10.5220/0011794400003393