Group 1: Market Overview - The international capital market in August 2025 shows a complex and variable landscape, with stable Federal Reserve interest rate policies impacting major investment categories: stocks, bonds, and gold [1] - The Hong Kong stock market's biopharmaceutical sector continues to perform strongly, with a leading gene editing company experiencing a weekly increase of 12.3%, reaching a year-to-date high [1] - The bond market exhibits a polarized trend, with U.S. ten-year Treasury yields fluctuating between 3.2% and 3.5%, while corporate bonds show significant stratification [1] Group 2: Gold and Alternative Investments - Gold prices have surpassed $2,200 per ounce, marking a historical high, driven by central banks increasing their reserves and a gold mining company reporting a 28% increase in proven reserves, leading to a 17% surge in its stock price [2] - The alternative investment sector is witnessing new trends, with carbon credit derivatives trading volume increasing by 210% month-over-month, and a water rights trading index showing positive growth for three consecutive months [2] Group 3: Fund Flows and Asset Allocation - Cross-border ETFs have seen a record net subscription of 1.5 billion yuan in a week, while REITs products' premium rate has narrowed to 3.2% [3] - Investors are advised to focus on inflation-linked bonds that can effectively hedge against CPI fluctuations, considering three key variables: geopolitical impacts on energy prices, monetary policy divergence among major economies, and the actual productivity gains from artificial intelligence [3] Group 4: Investment Strategies - In response to the complex market environment, professional institutions recommend a barbell strategy, allocating 70% of funds to stable assets and 30% to high-growth sectors, while regularly conducting stress tests to ensure portfolio resilience [4]

Core Viewpoint - In the first half of the year, quantitative private equity funds have outperformed actively managed equity funds, driven by multiple positive factors such as technological iteration, market liquidity, and a strong small-cap style, leading to an increased allocation in investor asset portfolios [1][5]. Performance Highlights - Longqi Technology has excelled in the quantitative private equity sector, ranking 6th with an average return of ***% across its 16 products in the first half of the year [1][10]. - Over the past three years, Longqi Technology has consistently ranked at the top, showcasing its "long-distance running" spirit and cultural ethos [1][5]. Strategy and Innovation - Longqi Technology's strong performance is attributed to three main factors: diversification and adaptability of strategies, long-termism in strategy accumulation, and high collaboration efficiency within the research team [11][12][17]. - The firm employs a multi-factor model with a current structure of 70% price-volume factors, 20% fundamental factors, and 10% alternative factors, allowing for stable excess returns amid market volatility [6][11]. Market Position and Trends - The company has successfully navigated multiple market cycles since its establishment in 2011, earning accolades such as the "Golden Bull Award" for three consecutive years [5][17]. - Longqi Technology emphasizes a long-term investment philosophy, viewing investment as a marathon rather than a sprint, which has contributed to its sustained performance [17][18]. Team and Culture - The company fosters a culture of innovation and collaboration, with a focus on developing talent in quantitative research, particularly in mathematical and statistical fields [21][22]. - Longqi's office environment, located in a serene natural setting, is designed to minimize distractions and enhance focus on research and development [19]. Future Outlook - Longqi Technology plans to continue expanding its product lines, focusing on A-share market quantitative investments, and adapting to market conditions and investor needs [22][24]. - The firm maintains a cautious yet open approach towards AI integration in its strategies, aiming to leverage AI's potential while avoiding overfitting risks [23][24].