Core Viewpoint - Tot (Sanya) Private Fund is a technology-driven quantitative private fund company that has achieved significant performance in the quantitative investment field, utilizing deep learning techniques for trading strategies [2][3]. Group 1: Company Overview - Tot (Sanya) Private Fund was founded in September 2021 and obtained its private fund license in March 2022, with its first product registered in April 2022. The company has grown from 1.8 billion yuan in assets under management in 2022 to 5 billion yuan by August 2025 [6][7]. - The core strategy team consists of graduates from Peking University, specializing in computer science and intelligent science, with a strong background in machine learning and software engineering [2][10]. Group 2: Performance Metrics - As of August 2025, the average return of Tot (Sanya) Private Fund's products reached ***%, ranking in the top 10 of quantitative private funds for the year [2]. - The product "Tot CSI 300 Index Enhanced 2" achieved a return of ***% in 2025, placing it among the top 10 for excess returns in the category of private funds with over 500 million yuan in scale [2]. Group 3: Core Strategies - The company employs a quantitative stock selection strategy, focusing on market neutrality and commodity CTA, with a strong emphasis on risk control and sustainable excess returns [5][19]. - The multi-cycle and multi-frequency return prediction model allows for decision-making across various time frames, from intraday to quarterly [15][19]. Group 4: Competitive Advantages - The company has a rich experience in machine learning, particularly in developing multi-modal factors, which provides a technical barrier compared to traditional multi-factor models [14][16]. - Strict risk exposure control is maintained, ensuring that the strategy effectively manages market volatility without significant drawdowns [17][19]. - The stability of the research and investment team is high, with a zero turnover rate among core members, who have been collaborating since 2016 [18].