ROBO-ADVISORS: REVOLUTIONIZING WEALTH MANAGEMENT THROUGH THE INTEGRATION OF BIG DATA AND ARTIFICIAL INTELLIGENCE IN ALGORITHMIC TRADING STRATEGIES

作者

  • Han Wang Department of Mathematics,University of Southern California,Alhambra, CA, USA Author
  • Jinxin Xu Department of Cox Business School,Southern Methodist University,Dallas, TX, USA Author
  • Qishuo Cheng Department of Economics,University of Chicago,Chicago, IL, USA Author
  • Yuqiang Zhong Department of Information and Computer Sciences,Henan Agricultural University,Shenzhen,Guangdong,China Author
  • Lichen Qin Department of Computer Science,University of Rochester,Rochester, NY, USA Author

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https://doi.org/10.60087/jklst.vol3.n3.p33-45

关键词:

Robo-Advisors, Big Data, Artificial Intelligence, Algorithmic Trading

摘要

This article explores how robo-advisors are transforming wealth management by integrating big data and artificial intelligence into algorithmic trading strategies. It discusses the ability of AI technologies, such as machine learning and natural language processing, to analyze vast amounts of data, identify market patterns, and optimize investment portfolios. Additionally, the article addresses the challenges of data quality, algorithmic transparency, and regulatory compliance, while highlighting the potential for AI-driven innovations to enhance investment decision-making and drive the future of financial services.

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已出版

2024-05-30

期次

卷 3 期 3 (2024): Exploring Ethical Dilemmas in Artificial Intelligence and Machine Learning

栏目

研究论文

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©2024 All rights reserved by the respective authors and JKLST.

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Han , W., Xu, J. ., Cheng, Q. ., Zhong, Y. ., & Qin, L. (2024). ROBO-ADVISORS: REVOLUTIONIZING WEALTH MANAGEMENT THROUGH THE INTEGRATION OF BIG DATA AND ARTIFICIAL INTELLIGENCE IN ALGORITHMIC TRADING STRATEGIES. 知识学习与科学技术期刊 ISSN：2959-6386（在线）, 3(3), 33-45. https://doi.org/10.60087/jklst.vol3.n3.p33-45

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