炒股就看金麒麟分析师研报，权威，专业，及时，全面，助您挖掘潜力主题机会！ 来源：华尔街见闻 在全球高频交易领域，一场关于速度的极限竞赛正从毫秒级迈向更为微观的纳秒级，并引发了全球主要 期货交易所之一的激烈争端。德国Eurex交易所正面临指控，被指允许部分交易公司利用一种特定的技 术手段获取微弱但关键的速度优势，这一被称为"损坏的投机触发"（Corrupted Speculative Triggering， 简称CST）的策略，据称已帮助少数公司在三年内攫取了数亿美元的利润。 据《华尔街日报》16日报道，法国高频交易公司Mosaic Finance已向欧盟委员会提起投诉，指控Eurex纵 容这种"不公平"的行为。Mosaic Finance在文件中声称，包括Optiver等在内的一小部分公司组成了寡头 垄断，通过向交易所发送大量无效数据来保持连接活跃，从而获得约3.2纳秒的领先优势。据估算，这 一策略在过去三年中为使用者带来了高达6亿欧元（约合7亿美元）的收益，而Eurex则通过向这些公司 出售快速数据连接服务增加了收入。 面对指控，隶属于Deutsche Börse集团的Eurex坚决予以否认。交易所发言人表 ...

在全球高频交易领域，一场关于速度的极限竞赛正从毫秒级迈向更为微观的纳秒级，并引发了全球主要 期货交易所之一的激烈争端。德国Eurex交易所正面临指控，被指允许部分交易公司利用一种特定的技 术手段获取微弱但关键的速度优势，这一被称为"损坏的投机触发"（Corrupted Speculative Triggering， 简称CST）的策略，据称已帮助少数公司在三年内攫取了数亿美元的利润。 据《华尔街日报》16日报道，法国高频交易公司Mosaic Finance已向欧盟委员会提起投诉，指控Eurex纵 容这种"不公平"的行为。Mosaic Finance在文件中声称，包括Optiver等在内的一小部分公司组成了寡头 垄断，通过向交易所发送大量无效数据来保持连接活跃，从而获得约3.2纳秒的领先优势。据估算，这 一策略在过去三年中为使用者带来了高达6亿欧元（约合7亿美元）的收益，而Eurex则通过向这些公司 出售快速数据连接服务增加了收入。 面对指控，隶属于Deutsche Börse集团的Eurex坚决予以否认。交易所发言人表示，所有针对该问题的实 质性担忧都经过了反复审查，Mosaic Finance的指控毫无根据 ...

12月11日晚，市场传出一则对量化交易进行整改的消息，涉及交易所要求券商清退客户专属交易设备等 内容，引发广泛关注。据悉，这些措施旨在维护市场公平，减少异常波动，引导量化交易规范发展。对 此，记者采访多家量化私募。多位量化私募人士表示，目前未收到券商的相关通知，该信息缺乏可交叉 验证的权威来源。 业内人士表示，若新规属实，对高频交易可能会有一定影响，尤其是依赖交易速度获取收益的管理人。 T0、打板、低延时套利等策略，对速度要求极致、交易集中，容易受到影响。不过，量化投资不等同 于高频交易。多家头部机构表示，自身不涉及相关策略，不会受到影响。 （文章来源：中国证券报） ...

另一方面，大成基金的权益投资较为依赖徐彦、刘旭、韩创三位基金经理，截至11月13日，三人合计在 管规模达642.81亿元，撑起公司权益类基金（股票型+混合型）总规模的半壁江山，约占55%。 然而，截至三季度末，徐彦在管产品收益全部跑输同期基准，其中今年3月成立的大成兴远启航直到10 月底才确认完成建仓，被投资人吐槽踏空"牛市"行情；刘旭、韩创旗下所管理的权益产品配置上则集中 于价值股或大盘股。 作者 | 谢美浴 编辑 | 付影 来源 | 独角金融 作为"老十家"公募之一，权益投资曾是大成基金管理有限公司（以下简称"大成基金"）亮眼的标签，如 今却陷入多重考验。 一方面，昔日百亿基金经理魏庆国年内被5次"内部调整"，最近两次是11月4日、11月6日，先后被免去 大成行业先锋、大成中小盘基金经理职务，至此，魏庆国已卸下所有在管公募产品。不过，魏庆国年初 已开始管理专户产品。 简历显示，魏庆国北京大学经济学硕士出身，14年证券从业经验，2013年5月便加入大成基金，并于 2015年开始单独管理基金。曾任研究部研究员，股票投资部基金经理、总监助理，现任权益专户投资部 总监助理。 Wind数据显示，魏庆国在大成基金任职 ...

About 45 minutes west of downtown Chicago lies a rather unassuming, glass-encased data center that some of the world’s largest markets depend on. By one 2018 estimate, at least $25 quadrillion of notional trade volume passes through the facility every day. Most Read from Bloomberg The Aurora, Illinois, complex has served as the primary hub of digital operations for the world’s largest futures exchange operator CME Group Inc. for nearly two decades. The 450,000-square-foot facility is famous among high-fr ...

Core Insights - The ongoing debate within the Federal Reserve, referred to as the "hawk-dove battle," is drawing significant attention on Wall Street, reflecting broader market sentiments and potential investment implications [1] - The recent market dynamics show a stark contrast between the rising Shanghai Composite Index and the quietness among retail investors, indicating a potential disconnect between market performance and investor sentiment [1] - The analysis highlights three major traps for investors: chasing popular stocks, the illusion of high-frequency trading, and the passive waiting trap, which can lead to missed opportunities and losses [2][1] Investment Traps - The first trap identified is the tendency to chase popular stocks, which can lead to significant performance discrepancies within the same sector, with differences reaching up to 300% [1] - The second trap is the misconception that daily small gains can lead to substantial annual returns, as evidenced by the fact that during a recent index rise, over 2,000 stocks still experienced declines [1] - The third trap is the passive waiting trap, where over 300 stocks declined despite the overall market rising from 3,000 to 4,000 points, illustrating the dangers of inaction [2] Institutional Behavior - The analysis of institutional inventory data reveals that despite active institutional participation, stock prices may remain suppressed, indicating potential underlying issues in market dynamics [6] - The case studies of specific stocks show that institutions are engaging in a "stealth game," where they accumulate positions without immediate price movements, suggesting a strategic approach to investing [14] Macro and Micro Insights - The divergence in opinions among Federal Reserve officials is reflected in specific funding flow patterns, which can provide early signals for market movements [14] - The emphasis is placed on the importance of data-driven decision-making over emotional responses, highlighting that the truth often lies within the data [14][15] Key Takeaways - Establishing a benchmark awareness is crucial, as failing to outperform the index is considered a loss [16] - Focusing on behavioral patterns rather than verbal statements from officials is essential, as actual fund flows are more indicative of market trends [16] - Continuous tracking of institutional footprints can provide valuable insights for investors, akin to a hunter tracking its prey [16]

Core Insights - The article highlights the success of Wang Zhini in the competitive futures trading market, emphasizing her unique trading philosophy of ensuring she remains "invincible" while navigating market complexities [1] Background and Experience - Wang Zhini comes from a financial family and initially faced significant losses in commodity futures trading, which led to a transformation in her trading system [2] - A pivotal change occurred in 2021 when she shifted her focus from commodity futures to stock index futures, benefiting from the real-time updates and historical data available for analysis [2] Trading Strategy and Philosophy - Wang Zhini's trading style is characterized by a focus on stock index futures, relying on pure technical analysis and favoring one-sided trades with daily wave operations [3] - She identifies that bear markets tend to be smoother due to passive declines, while bull markets require more careful navigation due to their inherent volatility [3] - Risk management is a cornerstone of her strategy, with an emphasis on strict stop-loss controls to mitigate potential losses [3] Emotional Management and Execution - Wang Zhini has developed a core trading philosophy that prioritizes remaining "invincible" before seeking profits, emphasizing the importance of recognizing identifiable opportunities [4] - She avoids emotional trading by not constantly monitoring the market, instead focusing on post-trade analysis to maintain a clear perspective on market trends [4] - Her understanding of human emotions in trading allows her to separate execution issues from technical problems, thereby minimizing emotional interference [4] Market Understanding and Adaptability - Wang Zhini believes that market prices are the result of competitive dynamics and that higher participation levels enhance the significance of support and resistance levels [4] - She asserts that market predictions are not feasible; instead, traders should adapt to ongoing market changes through continuous analysis of price movements [4]

Core Insights - The XAUBTC trading pair, which combines the safe-haven attributes of gold and the high volatility of Bitcoin, has become a popular target for high-frequency trading due to its unique volatility and high liquidity [1][2] - The THPX signal source utilizes an advanced quantitative AI model to provide traders with an efficient and scientific high-frequency trading strategy guide for XAUBTC, emphasizing its advantages in risk control, signal capture, and automated execution [1][4] Group 1: Challenges and Opportunities in XAUBTC Trading - XAUBTC trading captures significant arbitrage opportunities due to the intersection of gold's stability and Bitcoin's volatility, influenced by geopolitical factors and market sentiment [2] - Manual monitoring is insufficient for capturing fleeting opportunities, while high-frequency trading can analyze historical prices and market data in milliseconds to identify temporary price discrepancies [2] Group 2: THPX Signal Source AI Architecture - The THPX model operates through a three-layer intelligent mechanism, including a dynamic feature engine for real-time data cleaning, a multi-cycle resonance strategy for trend and breakout signals, and an adaptive risk control module that adjusts positions based on market volatility [4] - A case study during the March 2023 U.S. banking crisis demonstrated the model's effectiveness, capturing abnormal buying in CME gold futures and executing three hedge trades within 15 seconds, yielding a profit of 0.8% per trade [4] Group 3: Key Operational Optimizations - Investors using the THPX signal source should focus on local parameter calibration, hardware and network deployment to minimize latency, and dynamic profit-taking strategies to enhance annual returns [6] - Dynamic profit-taking strategies have shown an 11% increase in annualized returns compared to fixed strategies [6] Group 4: Risk Management Mechanisms - The THPX system incorporates a three-tiered risk control mechanism, including mandatory trading pauses after a 2% daily drawdown, halting new positions before extreme events, and cross-market arbitrage verification to mitigate risks [9] - These mechanisms have successfully limited the maximum consecutive loss to 7% of total capital during the 2022-2023 period [9] Group 5: Future Outlook - The THPX signal source's quantitative AI model offers a comprehensive solution for XAUBTC high-frequency trading, integrating rapid market analysis, multi-dimensional risk hedging, and adaptive execution strategies into an automated system [9] - As cross-market linkages increase, such AI trading systems that blend macro factors with micro structures are expected to become essential tools for stable profitability in the digital asset sector [9]

Core Insights - The book "High-Speed Trading: How Ultra-Fast Algorithms are Transforming Financial Markets" by Donald Mackenzie discusses the evolution and current state of high-frequency trading (HFT) and related regulatory changes [2][4] Group 1: High-Frequency Trading Overview - HFT was recognized as a legitimate trading method in 1998 when the SEC approved ECNs as exchanges, leading to the rise of algorithm-driven trading systems [2] - The term "high-frequency trading" was first introduced by Citadel hedge fund in the early 2000s, emphasizing automated trading that surpasses human capabilities [3] - HFT accounts for approximately half of the trading volume in major global markets, with significant operations in 36 countries and over 235 exchanges [4] Group 2: Market Impact and Regulation - HFT has been linked to increased market liquidity but also poses risks, as evidenced by the 2010 "flash crash" where the U.S. stock market dropped nearly 1000 points in minutes [4] - Following the flash crash, the SEC implemented reforms such as individual stock circuit breakers and increased transparency for HFT algorithms [4][5] - Companies like Virtu Financial are actively promoting industry standards and enhancing their technological capabilities in response to tightening regulations and competition from AI [5] Group 3: Social and Economic Implications - The book also explores the social implications of HFT, including its impact on compensation for financial professionals and potential income inequality [6] - It highlights the interdisciplinary nature of financial research, incorporating elements from sociology, anthropology, political science, and technology studies [6]

Group 1 - The article highlights the importance of intuition and knowledge in the learning process, emphasizing that the conflict between the two presents valuable learning opportunities [1] - It discusses the significance of reading as a means to encounter profound thoughts and engage in self-reflection, ultimately leading to a clearer understanding of the world [1] - A curated book list for the fall of 2025 is presented, featuring ten selected titles across various fields such as economics, finance, and humanities, aimed at enhancing critical thinking [1] Group 2 - The article notes that the current decade is a pivotal turning point, with AI becoming central to the strategic competition between China and the U.S., framed by the concept of "technological revolution - institutional competition - order reconstruction" [2] - It mentions the shift from physical trading floors to algorithm-driven electronic trading systems, highlighting the historical significance of this transformation in trading practices [2] - The article introduces new works that explore the psychological aspects of money management and the impact of high-frequency trading on market efficiency [2] Group 3 - The book "Seeking a Path" by Zhou Qiren discusses the challenges faced by enterprises and individuals in a rapidly changing global landscape, providing insights into potential growth opportunities [4] - "Cities, Clusters, and Spatial Equilibrium" by Edward Glaeser presents a comprehensive overview of urban economics, addressing key concepts such as spatial equilibrium and the mechanisms of urban growth [6] - "AI Storm" by Liu Dian examines the intense competition between China and the U.S. over AI technologies, proposing a theory of "resilient power" to navigate beyond zero-sum games [8] Group 4 - "Speed Trading" by Donald MacKenzie chronicles the rise of high-frequency trading since the 1990s, analyzing its effects on market efficiency and the competitive landscape of trading [10] - "The Power of Critical Thinking" by Liang Yufeng et al. emphasizes the importance of critical thinking in value investing, addressing common misconceptions and providing practical investment guidance [12] - "The Danaher Model" by Yang Yi and Chen Chaowei dissects the success strategies of Danaher Group, focusing on its operational excellence and strategic acquisition capabilities [14] Group 5 - "The Art of Money" by Morgan Housel explores the relationship between money, human behavior, and happiness, offering insights into how this relationship influences decision-making [16] - "Breaking the Urban-Rural Dual Structure" by Cai Fang addresses the challenges of China's urban-rural divide, providing policy recommendations for integrated development [18] - "The Joy of 11th Century China" by Yu Wensuo analyzes the concept of happiness in Chinese thought and literature, particularly during the Song Dynasty [20]