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Research on the Application of Artificial Intelligence Platform in Quantitative Investment
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Abstract
The purpose of this article is to provide for an in-depth discussion and examination of the application of AI platform in quantitative investment field. First, we introduce the background of the AI platform in quantitative investment as well as its development stage in early, recent and current time. Then in terms of methodology we take “Qlib” as a typical AI platform case to illustrate the impact of the application of AI platform in the development of quantitative investment strategy. To do it first the framework of the platform was sort out in detail with distinctive characteristics of modularization and process management in order to better understand the operation mechanism of the AI platform in the design of quantitative investment strategy. Then a performance evaluation method is introduced to make the comparison between the Qlib with other traditional solutions. The outcome shows that the application of AI platform will effectively shorten the loading time and make the design process more efficient by leveraging the utility of multi-core CPUs as well as making the development process more flexible due to modularization. Finally, we discuss the limitation of the application of AI platform and look forward to the development trend in the future.
Keywords
Application of AI platform, Qlib, platform framework, performance evaluation
References
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How to cite this paper
Research on the Application of Artificial Intelligence Platform in Quantitative Investment
How to cite this paper: Shuo Wen. (2023) Research on the Application of Artificial Intelligence Platform in Quantitative Investment. Advances in Computer and Communication, 4(3), 153-158.
DOI: http://dx.doi.org/10.26855/acc.2023.06.009
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