On December 30, 2024, DeepSeek, an AI startup founded by Huanfang Quantification, a well-known domestic quantitative asset management giant, released DeepSEEK-v3, a next-generation big language model, and announced open source. This model not only surpassed mainstream open source models in many benchmark tests, but even performed on par with the world's top closed source models, especially in coding and mathematics. A quantitative giant's cross-border AI model field reminds many investors of “AI stock trading,” but in terms of Magic Square's quantitative performance, the private equity ranking network shows that a total of 65 funds publicly disclosed their net worth. Among them, 29 funds increased by more than 10% during the year, and the remaining 36 funds fell during the year. Furthermore, in terms of private equity funds as a whole, quantitative bulls also outperformed subjective stock positions. Regarding “AI stock trading” and quantitative trading, industry figures say that fund managers have different views on AI stock trading and quantitative trading. In terms of development, AI stock selection may become an auxiliary tool for fund managers to select stocks, but it cannot completely replace the role of active fund managers in asset allocation industry selection and stock selection.

On December 30, 2024, DeepSeek, an AI startup founded by Huanfang Quantification, a well-known domestic quantitative asset management giant, released DeepSEEK-v3, a next-generation big language model, and announced open source. This model not only surpassed mainstream open source models in many benchmark tests, but even performed on par with the world's top closed source models, especially in coding and mathematics. A quantitative giant's cross-border AI model field reminds many investors of “AI stock trading,” but in terms of Magic Square's quantitative performance, the private equity ranking network shows that a total of 65 funds publicly disclosed their net worth. Among them, 29 funds increased by more than 10% during the year, and the remaining 36 funds fell during the year. Furthermore, in terms of private equity funds as a whole, quantitative bulls also outperformed subjective stock positions. Regarding “AI stock trading” and quantitative trading, industry figures say that fund managers have different views on AI stock trading and quantitative trading. In terms of development, AI stock selection may become an auxiliary tool for fund managers to select stocks, but it cannot completely replace the role of active fund managers in asset allocation industry selection and stock selection.