Document Type
Article
Publication Date
2024
DOI
10.3390/info15080506
Publication Title
Information
Volume
15
Issue
8
Pages
506 (1-16)
Abstract
As cloud computing adoption becomes mainstream, the cloud services market offers vast profits. Moreover, serverless computing, the next stage of cloud computing, comes with huge economic potential. To capitalize on this trend, investors are interested in trading cloud stocks. As high-growth technology stocks, investing in cloud stocks is both rewarding and challenging. The research question here is how a trading strategy will perform on cloud stocks. As a result, this paper employs an effective method—Simple Moving Average (SMA)—to trade cloud stocks. To evaluate its performance, we conducted extensive experiments with real market data that spans over 23 years. Results show that SMA can achieve satisfying performance in terms of several measures, including MAE, RMSE, and R-squared.
Rights
© 2024 by the authors.
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution 4.0 International License (CC BY 4.0).
ORCID
0000-0003-2695-9642 (Zheng)
Original Publication Citation
Zheng, X., & Li, L. (2024). Trading cloud computing stocks using SMA. Information, 15(8), 1-16, Article 506. https://doi.org/10.3390/info15080506
Repository Citation
Zheng, Xianrong and Li, Lingyu, "Trading Cloud Computing Stocks Using SMA" (2024). Information Technology & Decision Sciences Faculty Publications. 102.
https://digitalcommons.odu.edu/itds_facpubs/102
Included in
Artificial Intelligence and Robotics Commons, Corporate Finance Commons, Theory and Algorithms Commons
Comments
Data Availability Statement: Article states: "The data presented in this study are openly available at Yahoo Finance (https://finance.yahoo.com/, accessed on 30 June 2024)."