Machine Learning-Based Stock Price Prediction: A Case Study of Huafeng Co., Ltd.

Shiqi Wu

2025

Abstract

Stock price prediction in the electrical equipment manufacturing industry is an important issue since the decision to invest is linked to the stability of the market. Companies in the dynamic and competitive sector, like Huafeng Co., Ltd., which belong to such a sector, using these kinds of forecasting, can gain a lot of insights for their stakeholders. This paper concerns its stock price prediction in the electrical equipment manufacturing sector with Huafeng Co., Ltd. as a case. The Random Forest model is able to capture both industry-specific patterns as well as temporal dependencies through the analysis of 1,904 trading days (2016–2025). The ensemble learning algorithms of the framework are coupled with domain-specific feature engineering to achieve 94.2% trend capture accuracy (R²=0.929, RMSE=0.498). Results do state that much improvement is made over traditional methods, especially in emerging market conditions. This model has prediction stability, and its result can be interpreted for practical investment applications. At the same time, this research contributes both to the theory and to the practice of the impacts of machine learning on financial forecasting.

Paper Citation

in Harvard Style

Wu S. (2025). Machine Learning-Based Stock Price Prediction: A Case Study of Huafeng Co., Ltd.. In Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE; ISBN 978-989-758-765-8, SciTePress, pages 242-246. DOI: 10.5220/0013685800004670

in Bibtex Style

@conference{icdse25,
author={Shiqi Wu},
title={Machine Learning-Based Stock Price Prediction: A Case Study of Huafeng Co., Ltd.},
booktitle={Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE},
year={2025},
pages={242-246},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013685800004670},
isbn={978-989-758-765-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Data Science and Engineering - Volume 1: ICDSE
TI - Machine Learning-Based Stock Price Prediction: A Case Study of Huafeng Co., Ltd.
SN - 978-989-758-765-8
AU - Wu S.
PY - 2025
SP - 242
EP - 246
DO - 10.5220/0013685800004670
PB - SciTePress