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  2. Meet the hedge fund manager who founded DeepSeek, the ... - AOL

    www.aol.com/finance/meet-hedge-fund-manager...

    Liang Wenfeng’s quant trading hedge fund High-Flyer uses artificial intelligence to predict market trends and help make investment decisions. In 2021, he started buying thousands of Nvidia chips ...

  3. Numerai - Wikipedia

    en.wikipedia.org/wiki/Numerai

    Numerai is an AI-run, crowd-sourced hedge fund based in San Francisco. [1] It was founded by South African technologist Richard Craib [1] in October 2015. [2]Numerai’s trades are determined by an AI, which is fueled by a network of thousands of anonymous data scientists.

  4. Lipper - Wikipedia

    en.wikipedia.org/wiki/Lipper

    AMG Data Services - U.S. based mutual fund flows data provider [4] Globe and Mail Mutual Fund Database - tracker of Canadian mutual fund performance [ 5 ] Lipper provides retirement plan analysis and reporting tools for financial advisors and research from its offices in the Americas, Europe, Asia and the Middle East.

  5. Preqin - Wikipedia

    en.wikipedia.org/wiki/Preqin

    Preqin Ltd. is a privately held London-based investment data company that provides financial data and insight on the alternative assets market, as well as tools to support investment in alternatives. By the company's own definition, its data encompasses private capital and hedge funds , including fund, fund manager , investor , performance and ...

  6. Meet Liang Wenfeng, the hedge fund manager behind Chinese AI ...

    www.aol.com/news/meet-liang-wenfeng-hedge-fund...

    The Chinese AI startup has taken the AI community by storm with the buzzy launch of its open-source AI model R1, which DeepSeek says rivals OpenAI's o1 model in performance "across math, code, and ...

  7. The Voleon Group - Wikipedia

    en.wikipedia.org/wiki/The_Voleon_Group

    Voleon was founded in 2007 by Michael Kharitonov and Jon McAuliffe. Both were PhD holders and had worked at D. E. Shaw & Co. before founding the firm. In the past, they believed computers were not powerful enough to make use of machine learning in investing, nor were there enough data sets.

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