两位创始人陈泽浩和邹倚天均为国内第一批华尔街归国量化投资经理，均拥有18年海内外量化投资实战经验。目前，黑翼资产已实现全流程AI量化投 资，并构建了多元化的策略矩阵，覆盖量化选股、指数增强、市场中性、多策略、量化CTA等产品线。黑翼资产的两位创始人既是基金经理，也是核心量 化策略的控制人，公司管理结构非常稳定。 黑翼资产；历史不代表未来，市场有风险，投资需谨慎 （来源：中信建投财富管理） 在A股市场风格频繁切换、波动常态化的背景下，兼具"市场贝塔收益+超额阿尔法收益"的指数增强策略，有望成为投资者穿越市场周期的重要配置工 具。其中，聚焦中小盘成长风格的中证1000指数增强策略，凭借高弹性、高成长等特点，吸引了众多投资者的目光。 在这片蓝海中，黑翼资产凭借多年海内外量化积淀，以AI赋能为核心，力争打造出具有市场竞争力的1000指增策略产品，为投资者提供配置该策略的有 力工具。 创始人及投研团队 黑翼资产成立于2014年，是国内首批成立的量化投资机构之一，始终贯彻科学理性、策略多元和长期稳健的投资理念。黑翼资产专注于数量模型研究，公 司注重回撤控制和长期业绩表现，以投资者利益为核心，力争在控制回撤的基础上获取可观 ...

Core Insights - AI technology is transitioning from an "auxiliary tool" to a "core engine" in quantitative investment, enhancing strategies like index enhancement and market neutrality for more stable excess returns and precise risk control [1] Group 1: AI in Factor Discovery - Traditional quantitative strategies rely heavily on financial data and price-volume indicators, leading to issues of "information lag and severe homogeneity" [2] - AI enables a leap from "limited factors to infinite factors," significantly improving the dimensions and efficiency of factor discovery [2] - The quantitative team utilizes natural language processing (NLP) and web scraping to analyze thousands of research reports and company announcements daily, extracting valuable information from various sources [2] - Unique alternative factors such as "information dissemination factors" and "market sentiment factors" have been developed, enhancing the identification of high-growth potential stocks [2] - AI's deep learning models improve the prediction accuracy of factors on stock prices by over 30% through the reconstruction of over 3000 basic factors [2] Group 2: AI in Model Optimization - AI advancements allow for real-time iteration of quantitative strategies, addressing traditional model issues like "overfitting" and "weak adaptability" [3] - The application of AI in stock comparison research helps identify common quantitative logic among high-performing stocks, transforming them into actionable factors and model parameters [3] - AI enhances the "event-driven hunting" model by selecting stocks that trigger signals across multiple dimensions, increasing the probability of independent price increases by 40% compared to traditional strategies [3] - The dynamic adjustment of strategies based on market conditions is achieved through AI analysis of various data points, optimizing stock and derivative allocations [3] Group 3: AI in Risk Control - AI facilitates a shift from "passive loss prevention to proactive warning" in risk management, allowing for more precise and timely risk control [4] - A dual-dimensional monitoring system for "strategy risk + macro risk" has been established, incorporating macroeconomic factors into risk assessment [4] - AI-generated risk signals from price, volume, and volatility dimensions prompt automatic adjustments to positions or portfolio optimization [4] - Historical extreme market scenarios are simulated to assess potential maximum losses, providing a scientific basis for risk management decisions [4] Group 4: Future Outlook - The integration of AI with alternative data sources is a key focus for the quantitative investment team, aiming to uncover forward-looking information [5] - Efforts are underway to enhance the interpretability of AI models, ensuring greater transparency and control over technology applications [5] - AI is viewed as a critical tool for breaking through traditional strategy limitations and building core competitive advantages in an increasingly competitive quantitative investment landscape [5]

Core Viewpoint - The article emphasizes the increasing importance of AI in the investment sector, particularly for quantitative private equity firms, with Inno Asset being a pioneer in integrating AI into its core strategies since 2018 [2][10]. Company Overview - Inno Asset was established in 2014 and has received over 150 industry awards, including the Golden Bull Award and the Golden Sunshine Award, reflecting its strong industry recognition [2]. - The firm manages assets exceeding 20 billion yuan and has a team of over 130 professionals, many of whom are graduates from top universities such as Tsinghua University and MIT [2]. Product Lines - **Multi-Strategy Neutral**: Focuses on low volatility strategies, with approximately 80% allocated to neutral strategies and options arbitrage, complemented by a small proportion of higher-risk strategies to enhance overall returns without increasing risk [3]. - **Index Enhancement**: A high volatility, high return product line that aims to outperform indices through stock selection models while capturing beta returns [3]. - **CTA (Commodity Trading Advisor)**: Operates a multi-strategy approach with over 30 low-correlation sub-strategies, providing effective diversification [3]. - **Multi-Strategy Flexible**: Aims to maximize the return-risk ratio by combining various low-correlation strategies, making it one of the highest expected return-risk ratio product lines [3]. AI Integration - Inno Asset has fully embraced AI in its strategy development, transitioning from single strategy models to AI-driven multi-strategy frameworks since 2018 [10]. - The Alpha strategy has evolved into a combination model that leverages both AI and traditional multi-factor models to enhance performance in volatile markets [12]. Talent Development - The company emphasizes a "self-cultivation" talent strategy, with over 70% of the core research team developed internally through a structured mentorship and training program [11]. - Incentives include profit-sharing and long-term equity options, fostering a strong alignment between employee interests and company performance [11]. International Expansion - Inno Asset obtained a Hong Kong 4&9 license in September 2023, marking its first step towards internationalization, with plans to develop strategies suitable for global markets [19]. - The firm aims to create scalable strategies that are low correlated with A-shares, focusing on a comprehensive approach involving strategy, data, talent, and systems [19].

Core Insights - Lingjun Investment won the "Golden Bull Private Equity Management Company (Five-Year Stock Strategy)" award, reflecting its strong performance and comprehensive competitiveness in the stock strategy investment research field [1] - The award signifies the company's systematic core competitiveness built through cultural cohesion, governance innovation, risk control upgrades, and strategy iteration [1] Group 1: Performance and Strategy - Lingjun Investment demonstrated resilience and adaptability in a competitive quantitative industry, maintaining stable performance through deep strategy iteration [2] - The company employs a "large-cap model + medium to long-term signals" approach, enhancing short-term forecasting while balancing signals across different time frames [2] - The stable growth in performance is supported by a robust risk control system, which is seen as a prerequisite for sustainable performance [2] Group 2: Risk Control Mechanisms - The company integrates regulatory rules and exchange guidelines into quantifiable parameters to prevent compliance risks from the source [3] - A self-developed trading system incorporates comprehensive risk control rules, creating a dual verification mechanism to prevent human error [3] - Lingjun Investment manages all products collectively, allowing for real-time monitoring of the overall investment portfolio's risk exposure [3] Group 3: Industry Outlook - The future of the quantitative industry is expected to be driven by technology, with AI playing a crucial role in overcoming development bottlenecks [4] - AI technologies will deepen their application in quantitative fields, enhancing strategy precision and adaptability [4] - The focus of competition will shift from strategy construction to the overall management of system engineering and execution frameworks [4] Group 4: Strategy Diversification - The quantitative industry is moving towards diversified and refined strategies to meet the complex market environment and diverse investor needs [5] - New strategies such as CTA and cross-market strategies will enrich investment options, while refined strategies will help avoid homogenization [5] Group 5: Governance and Cultural Transformation - Lingjun Investment has undergone a significant governance structure transformation, shifting from a "clear division" model to a "collaborative and efficient" approach [7] - The new governance model enhances collaboration between investment research and operational functions, eliminating management bottlenecks [7] - The company has developed a cultural system that translates governance concepts into actionable daily guidelines, ensuring effective execution [8] Group 6: Commitment to Long-Term Value - The award reflects industry recognition of Lingjun Investment's commitment to long-term value creation and its ability to adapt during market fluctuations [9] - The company aims to leverage AI technology in investment research and client services to enhance strategy precision and service professionalism [9] - Lingjun Investment emphasizes the importance of maintaining a long-term perspective and continuously evolving to meet market challenges [9]

Core Insights - The primary mission of wealth management institutions is to prevent risks, followed by seeking wealth preservation, appreciation, and inheritance [1] - Wealth management should transcend economic cycles rather than merely predicting or speculating on them [1] - Investment advisors should help clients filter noise, avoid risks, and focus on stable growth channels [1] Group 1 - Zhang Xin Fan emphasized the importance of risk prevention in wealth management, stating that protecting asset safety is the top priority [1] - The future of brokerage wealth management will focus on two main directions: developing a fully entrusted investment advisory model and promoting ETFs as a simple investment method [1] - Investment advisors must possess a deep understanding of wealth management's mission, vision, and the development of the Chinese economy [2] Group 2 - Financial products are crucial for the sustainable development of wealth management, enabling ordinary people to access investment opportunities in emerging sectors like renewable energy and AI [2] - The concept of financial equality is highlighted, as individuals in remote areas can access the same investment opportunities through financial products, despite lacking access to top-tier resources [2]

Core Insights - The essence of quantitative investment lies in the accumulation and iteration of talent and technology, aiming for engineering success through meticulous refinement of each module [1] - The company positions itself as a performance-driven and technology-focused quantitative investment firm, reflecting the "fine-tuned development" of China's quantitative industry [1][2] - The future strategy includes continuous iteration of strategies and technologies to create a "strictly controlled style of full-spectrum Alpha," aiming to become a robust quantitative investment institution with an international perspective [1][5] Company Development - Founded by Li Xiang in 2016, the company has grown from focusing on low-latency trading to managing over 15 billion yuan in assets, emphasizing a long-term approach [2] - The company has established a centralized research team structure to enhance collaboration and avoid redundant research, akin to an industrial production line [3] - The adoption of AI and non-linear models since 2020 has significantly improved predictive capabilities, with the establishment of an AI Lab in 2025 [3][4] Investment Strategy - The company is focusing on "strictly controlled style of full-spectrum Alpha," which encompasses multiple markets, products, and time frames to capture diverse sources of excess returns [5][6] - The strategy aims to reduce style exposure and volatility, with a diverse product line including market-neutral, index-enhanced, and quantitative stock selection strategies [6] - The company is also expanding its overseas business, indicating a strategic focus on international markets [7] Industry Context - The quantitative investment sector in China is experiencing a resurgence, with total assets under management surpassing 1 trillion yuan, driven by increased trading activity [8] - The industry has evolved through different phases, with a shift towards purer Alpha strategies following a period of adjustment [8][9] - The competitive landscape necessitates a focus on "fine-tuned operations" to iterate strategies and enhance performance, as domestic quantitative investment still lags behind international standards [9]

Core Viewpoint - The introduction of the "Action Plan for Promoting High-Quality Development of Public Funds" marks a new phase of systematic transformation and deep change in the public fund industry, addressing various industry issues and proposing 25 detailed measures for high-quality development [1]. Group 1: Investment Philosophy Transformation - High-quality development in equity investment shifts focus from short-term performance and scale expansion to long-term sustainable returns, risk control, and enhancing investor trust [2]. - The cultivation of long-term high-performance products is key to sustained growth in equity scale, with a focus on fundamental research and individual stock selection [2][3]. Group 2: Performance and Personnel Management - Emphasis on performance benchmarks and long-term assessments to ensure fund managers focus on long-term value creation rather than short-term gains [3]. - Development of a long-term research system and talent team to enhance the research team's ability to serve products and external clients [3]. Group 3: Product Layout Optimization - The Action Plan aims to significantly increase the scale and proportion of equity investments in public funds, encouraging innovation and optimizing registration arrangements for equity funds [4]. - The company will enhance its supply capacity for equity assets and develop a diverse product system covering various strategies, including active equity, fixed income+, index enhancement, and quantitative indices [4][5]. Group 4: Investor Service Enhancement - High-quality development is ultimately reflected in investor satisfaction, necessitating improved service capabilities in the public fund industry [6][7]. - The company will promote long-term investment concepts through investor education and simplify processes to reach underserved groups [7][8]. Group 5: Compliance and Transparency - The company prioritizes compliance and risk control, ensuring all business activities operate within a compliance framework and enhancing transparency in information disclosure [8].

Core Viewpoint - The article emphasizes the rapid rise of quantitative investment in the capital market, highlighting its advantages in data processing, risk control, and the increasing number of private equity firms adopting quantitative strategies [2][5]. Group 1: Industry Overview - The volatility in capital markets and the complexity of information have made traditional subjective investment more challenging, leading to a surge in quantitative investment, which utilizes mathematical models and algorithms to uncover non-linear patterns and excess returns [2]. - By July 2025, the number of billion-yuan quantitative private equity firms surpassed that of subjective private equity firms for the first time, indicating a significant shift in investment strategies [2]. Group 2: Company Profile - Century Frontier, established in August 2015, has rapidly developed, surpassing 10 billion yuan in management scale by 2021, and currently employs various investment strategies including index enhancement and quantitative stock selection [5][6]. - The company has received multiple industry awards, including the "Golden Bull Award" and "Yinghua Award" in 2024, reflecting its strong performance in the private equity sector [6]. Group 3: Performance Metrics - As of July 2025, there are 44 billion-yuan quantitative private equity firms, with 23 firms having nearly three years of performance data. Century Frontier ranks 8th among these firms, with an average return of nearly ***% over the past three years [8]. - Century Frontier has 12 products with performance data that meet ranking criteria, with 11 products reaching historical highs in July 2025 [8]. Group 4: Investment Strategies - The company employs a diverse range of strategies, including index enhancement and market-neutral strategies, which have shown superior performance in both excess and absolute returns due to an active market environment [15]. - The small-cap index enhancement strategy benefits from a larger number of constituent stocks, allowing for better application of various alpha factors and reducing exposure risks [16]. Group 5: Competitive Advantages - Century Frontier's competitive edge lies in its stable research and development team, which comprises over 70% investment research and risk control personnel, many of whom have over 10 years of quantitative experience [12][20]. - The company emphasizes a collaborative working model that fosters open communication and trust among team members, contributing to high research efficiency and team stability [14]. Group 6: Future Trends - The quantitative investment industry is expected to expand from high-frequency to medium-low frequency strategies, with a focus on enhancing the strength, diversity, and stability of signals [25][26]. - Century Frontier has been investing in AI and machine learning capabilities to improve its quantitative strategies and is also exploring international expansion to enhance its investment management capabilities [26].

Core Viewpoint - The article discusses different types of investors during a bear market, emphasizing the importance of long-term investment strategies and the psychological aspects of investing during market downturns [1]. Group 1: Types of Investors - There are various types of investors observed in the current market: those who panic sell, those who are just starting, those who invest conservatively, and those who fear missing out on buying opportunities [1]. - Panic sellers have significantly reduced their investments, with some funds experiencing a decline of 50%-60% since March 2021 [6][9]. - New investors entering the market during a bear phase are in a favorable position, as they can buy at lower prices and develop a healthy respect for market volatility [12][13]. Group 2: Investment Strategies - For new investors, starting during a bear market can be advantageous, as it allows them to buy at lower prices and understand market fluctuations [12][17]. - Investors are encouraged to maintain a stock allocation based on the formula "100 - age," which is a common guideline for long-term asset allocation [20][21]. - In a bear market, it is suggested to increase stock allocations when the market is undervalued, particularly when it reaches around 5-star ratings [22][23]. Group 3: Market Behavior and Psychology - Many investors prefer to buy during market dips, as evidenced by increased subscription rates during low market points [33]. - The ideal scenario for dollar-cost averaging is to have a prolonged bear market followed by a significant bull market, allowing for accumulation of assets at lower prices [35]. - Patience is emphasized as a crucial trait for investors, as markets will eventually recover and present new opportunities [39][41].

Group 1 - The core viewpoint is that the private equity market is experiencing a significant recovery, with over 90% of large private equity firms achieving positive returns this year, driven by structural market opportunities and increased capital inflow [1][2][3]. Group 2 - As of the end of July, the average return for large private equity firms with performance data is over 16%, with 98% of them reporting positive returns, indicating a strong performance trend [1][2]. - The number of large private equity firms has increased to 90, reflecting the expansion of the sector amid favorable market conditions [1]. - Quantitative strategies have outperformed subjective strategies, with quantitative private equity firms achieving an average return of 18.92% and a 100% positive return rate [2]. Group 3 - The private equity fundraising market has shown significant improvement, with 1,298 private equity securities investment funds registered in July, marking an 18% increase from the previous month [3]. - The top ten firms with the most new fund registrations in July are all large private equity firms, highlighting their attractiveness to investors [3]. Group 4 - Investor sentiment has improved significantly, with institutional investors increasing their participation and shifting their preferences towards long-only strategies, including subjective stock selection and quantitative strategies [4]. - Large private equity firms are maintaining aggressive positions and actively adjusting their portfolios to capitalize on structural opportunities [4]. Group 5 - Factors such as reduced global trade uncertainties and the effectiveness of China's economic restructuring are supporting the emergence of structural opportunities in the Chinese stock market [5]. - A large private equity firm maintains a high portfolio allocation of over 80%, focusing on sectors like technology, innovative pharmaceuticals, and non-bank financials, while also preparing for potential adjustments in response to market fluctuations [5].