**桥水基金启动全新机器学习决策基金,规模达20亿美元**
近日,对冲基金巨头桥水公司启动了一只由机器学习决策的全新基金,规模达20亿美元。该基金汇集了不到十位重量级投资者的资金,并于周一(7月1日)正式开始交易。
这支新基金由联席首席投资官Greg Jensen领导并依托桥水自主研发、历经十多年的专有技术。此次推出的基金代表着未来金融投资的全新趋势,利用机器学习算法进行投资决策。
据了解,新基金将广泛采用最前沿的技术模型,包括与OpenAI、Anthropic和Perplexity等公司合作的先进算法。这些技术的应用将大大提高投资决策的精准度和效率。
行业专家表示,桥水此次尝试标志着人工智能技术在金融领域的深化应用。通过机器学习进行决策不仅优化了投资策略,也反映了行业不断革新的现状。该基金未来的表现将持续引发市场关注。桥水基金此次创新的举动预计会对全球金融市场及金融服务业带来深远的影响。
英语如下:
News Title: Bridgewater Initiates a Decision-Making Fund Using Machine Learning: US$2 Billion in Scale
Keywords: Bridgewater Fund, Decision-Making with Machine Learning, Incorporation of Proprietary Technology
News Content: **Bridgewater Fund Launches a New Decision-Making Fund with Machine Learning, US$2 Billion in Scale**
Recently, the hedge fund giant Bridgewater has launched a new fund driven by machine learning decisions, with a scale of US$2 billion. The fund has gathered funds from fewer than ten high-profile investors and began trading on Monday (July 1st).
This new fund is led by the Co-Chief Investment Officer Greg Jensen and relies on proprietary technology developed by Bridgewater over the past decade. The launch of this fund represents a new trend in financial investments, utilizing machine learning algorithms for investment decisions.
It is understood that the new fund will extensively adopt cutting-edge technological models, including advanced algorithms cooperated with companies such as OpenAI, Anthropic and Perplexity. The application of these technologies will greatly improve the precision and efficiency of investment decisions.
Industry experts indicate that Bridgewater’s attempt marks the deep application of AI technology in the financial field. Decision-making through machine learning not only optimizes investment strategies but also reflects the constantly innovating industry. The future performance of this fund will continue to attract market attention. Bridgewater’s innovative move is expected to have profound impacts on global financial markets and financial services.
【来源】https://www.cls.cn/detail/1720555
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