Application and practice of AI technology in quantitative investment
Shuochen Bi, Wenqing Bao, Jue Xiao, Jiangshan Wang, Tingting Deng

TL;DR
This paper explores how artificial intelligence, particularly machine learning, is applied in quantitative investment to improve decision-making, enhance profit, and manage risks amid global economic concerns.
Contribution
It reviews the application of AI in quantitative investment and discusses strategies to better utilize AI for profit and risk control in financial markets.
Findings
AI aids in predicting market trends.
AI-based strategies improve investment returns.
AI helps in risk management and decision support.
Abstract
With the continuous development of artificial intelligence technology, using machine learning technology to predict market trends may no longer be out of reach. In recent years, artificial intelligence has become a research hotspot in the academic circle,and it has been widely used in image recognition, natural language processing and other fields, and also has a huge impact on the field of quantitative investment. As an investment method to obtain stable returns through data analysis, model construction and program trading, quantitative investment is deeply loved by financial institutions and investors. At the same time, as an important application field of quantitative investment, the quantitative investment strategy based on artificial intelligence technology arises at the historic moment.How to apply artificial intelligence to quantitative investment, so as to better achieve profit…
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Taxonomy
MethodsFocus
