Robotics & Machine Learning Daily News2024,Issue(Aug.13) :55-56.

Reports Outline Machine Learning Study Findings from Sun YatsenUniversity (A s tudy on automated improvement of securities trading strategies using machine lea rning optimization algorithms)

Robotics & Machine Learning Daily News2024,Issue(Aug.13) :55-56.

Reports Outline Machine Learning Study Findings from Sun YatsenUniversity (A s tudy on automated improvement of securities trading strategies using machine lea rning optimization algorithms)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Investigators discuss new findings in artificial intelligence. According to news originating fromGuangdong, People’s Republic of China, by NewsRx correspondents, research stated, “Automation insecurities tra ding offers advantages over human subjective trading, such as immunity to subjec tiveemotional factors, high efficiency, and the ability to monitor multiple sto cks simultaneously, making it acutting-edge development path in the securities trading industry.”

Key words

Sun Yat-sen University/Guangdong/Peopl e’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machine Learning/Optimization Algorithms

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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