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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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L. Liu
Jinxin Xu
Qishuo Cheng
Journal of Knowledge Learning and Science Technology ISSN 2959-6386 (online)
University of Chicago
University of Rochester
Southern Methodist University
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Liu et al. (Thu,) studied this question.
www.synapsesocial.com/papers/68e67968b6db643587603d43 — DOI: https://doi.org/10.60087/jklst.vol3.n3.p33-45
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