Core Insights - The report presents a multi-dimensional index daily frequency timing framework aimed at optimizing absolute return strategies and stock index futures performance through position timing [3] - The framework is based on a multi-dimensional factor system, including 80 analyst expectation factors, 134 capital flow factors, 43 high-frequency aggregated low-frequency features, and deep learning factors introduced after 2020 [3][12] - The backtesting results show that the long-short strategy achieves an annualized return of 46% with a Sharpe ratio of 2.37, while the long-only strategy achieves an annualized return of 23% [3][12] Factor Analysis - The basic factors include 80 analyst expectation factors and 134 capital flow factors, which are crucial for predicting future returns [12][15] - The report highlights a negative correlation between capital flow factors, particularly outflow-related factors, and the next day's returns, indicating a reversal characteristic overnight [15][16] - The report tests the performance of various analyst expectation factors, with the top-performing factors yielding annualized returns ranging from 10% to over 21% based on different thresholds [27][23] Deep Learning Integration - The deep learning factor prediction framework targets the next day's returns using both daily and minute data to capture overnight signals, employing an improved Mean Absolute Directional Loss (MADL) function for directional judgment [10][54] - The MADL function is preferred over Mean Squared Error (MSE) as it focuses on optimizing the correctness of directional predictions rather than numerical accuracy, aligning with practical trading principles [54][57] Timing and Stock Selection Strategy - The framework validates the feasibility and effectiveness of position timing, achieving a win rate of 54% for both long and short positions [12] - The strategy further integrates stock selection models to enhance the return structure, demonstrating a robust solution for quantitative investment [11][3] High-Frequency Data Utilization - The report constructs 43 high-frequency factors to capture market sentiment and risk, including intraday volatility and trading volume patterns [36][42] - The high-frequency factors are aggregated to create suitable features for daily extraction, ensuring high quality and low noise [36][37]

Core Viewpoint - The article emphasizes the importance of technological self-reliance and innovation in driving China's economic transformation, highlighting the role of quantitative investment firms in supporting talent development and scientific research in collaboration with top universities [1][2]. Group 1: Collaboration with Universities - Minghong Investment has initiated multiple educational programs with leading universities, including the "Huan Yu Education Development Plan" at Peking University and the "Tsinghua Friends-Minghong Education Development Plan," focusing on long-term investment in talent cultivation and scientific innovation [1][2]. - The firm has established scholarships and support programs across various institutions, including a scholarship at Shanghai Jiao Tong University that has benefited 246 students and 38 teachers, promoting excellence in scientific competitions [5][6]. Group 2: Multi-Dimensional Cooperation - Minghong Investment is committed to deepening cooperation with universities, focusing on faculty development, discipline advancement, and talent training, thereby creating a sustainable mechanism for collaborative education [3][4]. - The firm has set up specific awards and funding initiatives, such as the "Huan Yu Information Exploration Award" at Peking University, to encourage students in scientific research and innovation [3][4]. Group 3: Innovation Ecosystem - The company believes in fostering an environment that encourages curiosity and exploration among students, aiming to transform them from learners into creators through a collaborative ecosystem that integrates academic freedom with industry insights [7][8]. - Minghong's approach to talent development emphasizes discovering individual potential and supporting diverse growth paths, rather than focusing solely on specific academic tracks [8][9]. Group 4: Ongoing Engagement and Future Plans - Minghong continues to host various exchange activities, such as the "MINGHONG Talks," to provide students with insights into industry practices and career development [9]. - The firm plans to further deepen its collaboration with universities in areas such as talent training, discipline construction, and technological innovation, contributing to the development of a new quality of productivity in China [9].

Core Insights - The conference highlighted the long-term confidence in the A-share market and the recognition of China's economic fundamentals, capital market reforms, and policy support as the underlying logic for the quantitative investment industry [3][4]. Group 1: Market Performance and Quantitative Strategies - From Q4 2021 to Q4 2024, the market has undergone a three-year adjustment cycle, indicating a long-term demand for market growth from a mean reversion perspective [4]. - Since September 24 of the previous year, both market indices and quantitative strategies have shown positive performance, aided by improved market sentiment and activity [4]. - The average return of quantitative index-enhanced products in the current year exceeds 40%, while market-neutral products generally yield over 10%, marking a favorable operational environment for the quantitative industry [4]. Group 2: Regulatory Impact on Quantitative Trading - The scale of quantitative and algorithmic trading has reached approximately 1.5 trillion yuan, necessitating regulatory policies to ensure long-term healthy development [6]. - The core of the new regulatory guidelines is to standardize the development of the quantitative industry without stifling its vitality, focusing on curbing potentially unfair market practices [6][7]. - The introduction of regulations is expected to shift the focus of quantitative strategies from speed to quality, thereby improving market liquidity and creating a fair trading environment [7]. Group 3: Future Outlook and Strategy Development - In 2026, the quantitative industry needs to enhance both trading and cognitive capabilities to adapt to different market phases and improve the ability to generate excess returns [8]. - The effectiveness of Alpha strategies varies with market conditions, where trading-type Alpha performs better during periods of market divergence, while cognitive-type Alpha is more valuable during consensus phases [8]. Group 4: Company Growth and Achievements - Square and Investment successfully entered the 10 billion yuan club in 2025, attributed to market recovery, enhanced research capabilities, and increased brand influence [5].

Core Insights - The recent "14th Five-Year Plan" emphasizes accelerating the construction of a technology and financial powerhouse, signaling strong policy support for the asset management industry, particularly quantitative private equity firms [1] - Minghong Investment exemplifies the integration of technology and finance, actively contributing to the development of China's capital markets and nurturing top-tier tech talent through extensive collaborations with leading universities [1][5] Group 1: Collaboration with Universities - Minghong Investment has established multi-dimensional partnerships with top universities, focusing on faculty development, discipline advancement, and talent cultivation, creating a sustainable mechanism for school-enterprise collaboration [2] - In 2025, Minghong Investment will launch the "Universe Education Development Plan" with Peking University, covering multiple disciplines and providing stable support for talent cultivation [2] - The firm has set up various awards, such as the "Universe Information Exploration Award" and the "Universe Exploration Award," to encourage students in scientific research and holistic development [2] Group 2: Support for Scientific Research - Minghong Investment's collaboration with Tsinghua University includes the establishment of the "Tsinghua Friends - Minghong Scholarship" to incentivize outstanding graduate students and support relevant laboratory construction [3] - The "Huiming Talent Assistance Program" at Fudan University has funded over 20 experts and young scholars, providing stable financial and resource support for research in physics [3][4] - Minghong Investment's early collaboration with Shanghai Jiao Tong University has established the "Minghong Sci-Tech Innovation Scholarship," directly incentivizing talent growth in foundational disciplines [4] Group 3: Commitment to Talent Development - Minghong Investment believes that technology is the primary productivity, talent is the primary resource, and innovation is the primary driving force, positioning universities as key platforms for talent cultivation [5] - The company emphasizes creating an environment that respects curiosity and encourages independent exploration, allowing students to immerse themselves in the joy of learning [5][6] - The firm’s talent development philosophy focuses on discovering potential and encouraging diverse growth, supporting innovative spirits that challenge boundaries [6] Group 4: Ongoing Engagement and Future Plans - Minghong Investment has been actively conducting various university exchange activities, such as the "MINGHONG Talks" series, to share insights on AI and career planning with students [7] - The company aims to deepen collaborations with universities in talent cultivation, discipline construction, and technological innovation, reinforcing the foundation for a strong educational and technological nation [7]

Core Insights - The conference highlighted the strong performance of quantitative investment institutions in the A-share market, driven by improved market sentiment and trading activity [1][2] - The discussion emphasized the optimistic outlook for the capital market in 2026, with expectations of continued upward trends supported by policy initiatives and technological advancements [3][4] Group 1: Performance of Quantitative Institutions - Quantitative institutions have shown remarkable performance this year, benefiting from a favorable market environment characterized by active trading and a structural market trend [2] - The median excess return for quantitative products, such as the CSI 1000 index enhancement, reached approximately 7% by the end of October, with top-performing products exceeding 15% [2] - The low volatility and excess return characteristics of quantitative strategies have led to rapid growth in their scale, with many actively managed funds also achieving significant absolute returns [2] Group 2: Market Outlook for 2026 - The underlying logic for the current market rally includes domestic liquidity easing, declining asset yields, and the rise of technological innovation, particularly in AI [3][4] - The year 2026 is anticipated to be a pivotal year for policy initiatives, with expectations of increased support for technology innovation, green transformation, and consumption [4] - The market is expected to experience a gradual upward trend, driven by improving corporate earnings and a favorable valuation environment [3][4] Group 3: Investment Opportunities - Key investment opportunities for 2026 are identified in emerging industries such as renewable energy, aerospace, and advanced materials, as well as traditional industries undergoing upgrades [5] - The focus on critical core technology industries, as outlined in the "14th Five-Year Plan," highlights areas such as integrated circuits and high-end equipment manufacturing as strategic investment targets [5] - Attention is also drawn to high-dividend stocks, particularly in the Hong Kong market, which offer attractive yields [6]

香港交易及結算所有限公司以及香港聯合交易所有限公司對本公告之內容概 不 負 責，對 其 準 確 性 或 完 整 性 亦 不 發 表 任 何 聲 明，並 明 確 表 示，概 不 會 就 因 本 公告全部或任何部分內容而產生或因倚賴該等內容而引致之任何損失承擔任 何 責 任。 TA YANG GROUP HOLDINGS LIMITED 大洋集團控股有限公司 （於開曼群島註冊成立的有限公司） （股份代號：1991） 自願性公告 投資合作諒解備忘錄 關 於 向 真 實 世 界 資 產（「RWA」）服 務 平 台 進 行 潛 在 戰 略 投 資 CoinVEX運 營 一 個 數 字 資 產 平 台，其 核 心 業 務 主 要 包 括： – 1 – 本 公 告 乃 由 大 洋 集 團 控 股 有 限 公 司（「本 公 司」，連 同 其 附 屬 公 司 統 稱「本 集 團」） 自 願 作 出，以 告 知 本 公 司 股 東 及 潛 在 投 資 者 本 集 團 之 最 新 業 務 發 展。 投資諒解備忘錄 本 公 司 董 事 會（「董 事 會」）欣 然 告 知 本 公 司 股 東 及 潛 在 投 資 者，於2025年11月 ...

Core Viewpoint - Quantitative investment has become a significant force in the A-share market, with Kuan Investment Asset Management gaining attention for its stable performance and commitment to long-termism [1][3]. Group 1: Company Philosophy - Kuan Investment's core philosophy emphasizes survival and long-termism, prioritizing absolute returns for clients over aggressive growth [3][4]. - The founder, Qian Cheng, has invested all personal funds into the company's fund, demonstrating a strong commitment to capital preservation [3]. - The company maintains a rigorous risk control system throughout the investment research process, aiming for moderate returns while managing risks effectively [3][5]. Group 2: Market Outlook - Qian Cheng expresses a cautious optimism about the A-share market's performance over the next one to two years, advising investors to temper their expectations [4]. - The competitive landscape of the quantitative investment sector is described as a "red ocean," with increasing pressure from new entrants [5]. Group 3: Technological Innovation - Continuous technological iteration and 100% in-house development are identified as key strategies for navigating the competitive market [5][6]. - The company emphasizes the importance of deep research and rapid technological adaptation, with a focus on studying new AI developments [5][6]. - Kuan Investment aims to provide long-term, customized services to clients, leveraging AI to enhance the precision of quantitative investment practices [6].

Core Viewpoint - Quantitative investment has become a significant force in the A-share market, with Kuan Investment Asset Management gaining attention for its stable performance and commitment to long-termism [1][2]. Group 1: Company Philosophy - The founder, Qian Cheng, emphasizes the importance of survival in the investment industry, stating that the goal is to create absolute returns for clients rather than focusing solely on growth [1][2]. - Qian Cheng has invested all his personal funds into the company's fund, demonstrating a strong commitment to protecting investors' capital [1]. Group 2: Risk Management - Kuan Investment employs a rigorous risk control system throughout the investment research process, aiming for moderate returns while managing exposure risks [2]. - The philosophy of seeking stable, moderate returns provides investors with a sense of security in long-term investments [2]. Group 3: Market Outlook - Qian Cheng expresses a cautious optimism about the A-share market's performance over the next one to two years, advising investors to maintain a prudent mindset as the market rises [2]. Group 4: Industry Dynamics - The quantitative investment sector is described as a "red ocean" market, characterized by intense competition and a high influx of talented individuals [2][3]. - Continuous technological iteration and 100% in-house development are seen as essential for navigating the competitive landscape [2][3]. Group 5: Research and Development - Kuan Investment's core competitiveness lies in in-depth research and rapid technological iteration, with a focus on reading and discussing new AI papers within a month of their release [3]. - The company has built a diverse research team with backgrounds in statistics and computer science, ensuring stability and avoiding reliance on third-party strategies [3]. Group 6: Future Vision - The vision for Kuan Investment is not merely about scaling but providing long-term effective services to clients, with an emphasis on health industry development and technological leadership [3][4].

Group 1: Overseas Quantitative Dynamics - The trend of integration between high-frequency trading and quantitative alpha management is emerging in the U.S. private equity market, particularly after a market pullback in 2025 due to a rebound in "junk stocks" [1][2] - High-frequency trading has evolved significantly over the past 20 years, with firms like Citadel and Jane Street facing intense competition, leading them to adopt short-cycle alpha prediction strategies to mitigate pure speed competition [1][2] - Traditional quantitative alpha strategies, which began in the 1980s, have longer holding periods and larger average exposure compared to high-frequency trading, which is now increasingly overlapping with traditional strategies [2][3] Group 2: Market Performance - In the first half of 2025, large quantitative managers like Citadel underperformed smaller managers such as Balyasny and ExodusPoint, with Citadel achieving only 2.5% returns compared to over 7% for smaller firms, primarily due to increased strategy drawdowns from frequent tariff changes [4] - Citadel and Point72's performance improved due to their focus on fundamental, concentrated portfolios, which outperformed their flagship strategies this year [4] Group 3: Regulatory Issues - Jane Street faced regulatory scrutiny in India, with accusations of manipulating market prices on options expiration dates, leading to a suspension of trading privileges and potential penalties [5] Group 4: Overseas Quantitative Perspectives - Machine learning is gaining traction in macro investment, with firms like BlackRock exploring its application to enhance traditional models and extract investment signals from complex macro data [7][10] - AQR's research highlights biases in subjective versus objective stock return predictions, noting that subjective forecasts tend to be overly optimistic, especially following bull markets [15][16] - Invesco's global quantitative survey indicates a rising trend in the use of quantitative methods across multi-asset portfolio management, with a notable increase in the flexibility of factor adjustments [19][22][23] Group 5: Performance Tracking of Quantitative Products - Factor rotation products, such as those from BlackRock and Invesco, have shown varying performance, with BlackRock's products outperforming benchmarks in recent months [28][30] - Machine learning-based stock selection strategies have demonstrated better performance compared to traditional methods, with products like QRFT outperforming AIEQ [43] - The Bridgewater All Weather ETF has shown resilience, recovering quickly from market pullbacks and achieving over 15% cumulative returns since its inception [44][46]

Core Insights - The article highlights the investment philosophy and operational strategies of Mengxi Investment, led by its founder Li Xiang, emphasizing a focus on objective market规律 and technological innovation rather than seeking the spotlight [1][4][10] Group 1: Company Philosophy - Mengxi Investment operates under a philosophy of "observing" market规律, prioritizing stability and long-term growth in a volatile market environment [1][4] - The company is driven by a commitment to technology, with significant investments in low-latency trading systems and AI integration into its investment processes [5][10] - Li Xiang views quantitative investment as an "ever-unfinished puzzle," emphasizing the importance of curiosity and a scientific approach to uncovering market规律 [6][10] Group 2: Risk Management and Strategic Discipline - The company faced challenges during a downturn in the quantitative industry, which tested its strategic discipline and risk management practices [7] - Li Xiang reflects on a past decision to relax risk controls, which resulted in missed opportunities and losses, reinforcing the importance of adhering to core principles [7][8] - Mengxi Investment employs a diversified strategy matrix and alternative data analysis to identify investment opportunities that traditional financial data may overlook [7][8] Group 3: Talent and Technology Development - The company emphasizes the importance of talent and technology development, maintaining a proactive approach to team building ahead of scaling operations [8][9] - Mengxi Investment has established an attractive incentive system for its research team, promoting collaboration and individual growth [9] Group 4: Social Responsibility and Future Vision - Li Xiang expresses a commitment to social value, engaging in scientific donations and encouraging industry peers to contribute to societal welfare [10][11] - The company aims to be among the top quantitative institutions in China, focusing on excellence rather than size, with aspirations for global influence [11]