近半年“主观多头VS量化多头”！但斌、吴悦风位列前5！翰荣、顽岩、念觉领衔！

Core Insights - The market has recovered from the impact of tariffs since April, providing opportunities for private equity stock strategy products, with significant performance differences between subjective long and quantitative long strategies [2] - From April to June, themes like AI computing power and humanoid robots gained traction, benefiting quantitative long products due to their advantages in diversified and programmatic trading [2] - From July to September, A-share indices reached new highs, leading to a notable recovery in the performance of subjective long products focusing on popular sectors [2] Performance Summary - As of October 17, 2025, there are 2,112 subjective long products and 862 quantitative long products with nearly six months of performance data, yielding average returns of 29.62% and 29.43% respectively [2] - In the category of private equity funds with assets over 5 billion, subjective long products outperformed quantitative long products [4] Top Performing Products - In the 50 billion and above category, the top subjective long products include those managed by Wang Aoye, Guan Xin, and Cai Zhijun, with average returns of 34.77% [5][6] - The top three products in the 10-50 billion category are managed by Shi Hao, Zhang Hui, and Tang Yunjie, with the average return for subjective long products at 29.8% [11][12] Quantitative Long Products - In the 10-50 billion category, the top three quantitative long products are managed by Jin Teng, Wang Xiao, and Yin Tao, with an average return of 31.89% [8][9] - The top performing quantitative long product in the 0-10 billion category is managed by Wu Yufeng, with significant recent gains attributed to investments in Bitcoin and AI leaders [20][21] Market Trends - The article highlights a shift towards AI and technology investments, with notable holdings in companies like Nvidia and Google by leading fund managers [7][24] - The "deep earth economy" concept is emerging, with potential market opportunities exceeding trillions [24]