Company Overview - Wendi Asset is a professional asset management company focused on quantitative investment, established in Shanghai in 2016 [4] - The investment areas cover futures and stocks, with a comprehensive quantitative asset management system that includes CTA and stock strategies [4] Core Team - The team has over 15 years of experience in quantitative investment, adhering to the investment philosophy of "staying true and innovating" [7] - Core research personnel have backgrounds in physics, mathematics, computer science, and economics, providing a solid foundation for quantitative research [8] Investment Philosophy & Representative Strategies - The company has developed a complete quantitative strategy system, encompassing both quantitative CTA and quantitative stock strategies [10] - The Wendi Quantitative CTA strategy includes approximately 40 sub-strategies, focusing on diversified risk and achieving long-term sustainable returns [12] Strategy Development History - The strategy has undergone multiple iterations since its inception in 2010, enhancing its adaptability to low-volatility market environments [12] - Key products include Wendi Quantitative Zhenxuan No. 9 and Wendi Multi-Strategy No. 10, with significant improvements in strategy performance over the years [13] Advantages - Unique risk control measures aim to reduce drawdown probabilities while enhancing Alpha [18] - The universality of Alpha is leveraged through advanced machine learning techniques to identify high-quality Alpha across various asset classes and cultural contexts [19] - A complete and verifiable historical traceability system supports rigorous research and understanding of Alpha's lifecycle [20] Continuous Evolution Capability - The company focuses on continuously optimizing investment strategies and enhancing risk management capabilities [21] - Emphasis on talent development and team building to foster innovative thinking and creativity [22] Future Strategy Development Directions - Future efforts will focus on systematic methods to understand economic and financial paradigms for macro asset allocation [23] - Continued investment in software and hardware resources, including alternative data procurement and high-speed trading platform development [23]