Core Insights - THPX signal source utilizes advanced AI quantitative models to enhance the accuracy and reliability of signals in the WTI crude oil and Bitcoin markets, significantly improving market information processing [1][7] - The AI quantitative model is based on real data analysis, employing deep learning and pattern recognition to efficiently integrate the correlations between WTI crude oil and Bitcoin, ensuring high precision and timeliness in signal predictions [1][3] Group 1: AI Model Functionality - The AI quantitative model automates the processing of vast historical data, identifying potential market patterns without relying on traditional manual analysis, thus generating high-quality signals [1][3] - It predicts trend reversal points based on historical market behavior, providing forward-looking signals that enable participants to plan resources proactively [3][5] Group 2: Market Impact - The implementation of the AI model enhances overall market transparency and reduces unexpected volatility, creating a more predictable environment for market participants [3][5] - The model's adaptability allows it to operate consistently across different scenarios, such as responding to crude oil supply events or Bitcoin technological changes, delivering reliable results [5][7] Group 3: Future Prospects - The sustainable nature of the AI quantitative model is expected to deepen positive impacts globally, assisting emerging market participants in improving overall performance and fostering a fairer, more efficient market environment [5][7]

2025年，无疑是量化投资发展史上一个标志性的大年。年初，DeepSeek的横空出世为量化领域注入了颠覆性的AI动能；与此同时，A股市场震荡上行，整 体而言中小盘风格显著占优，中证2000与微盘股指数分别大涨超36%和80%，叠加市场流动性充裕、交投活跃，多重利好共振，令量化多头策略"如鱼得 水"，迎来全面爆发！ 为能更清晰了解量化私募基金的业绩，经笔者统计，在私募排排网上有业绩展示的量化产品共有1784只，2025年平均收益达30.28%，2025年平均超额 （几何）收益达10.83%；其中量化多头策略产品多达806只，2025年收益和超额（几何）收益分别为44.74%、16.46%，在私募二级策略中居前。 | 排 | 私募二级策略 | 有业绩展示的 | 2025年平均收益 | 2025 E 24 2 | | --- | --- | --- | --- | --- | | 序 | | 量化产品 | | 超额收益 | | 1 | 喜化多杀 | 806 | 44.74% | 16.46% | | 2 | 量化CTA | 375 | 20.21% | 14.04% | | 3 | 股票市场中性 | 186 | 9 ...

证券研究报告 金工 AI 量化的当下与未来 2026 年 1 月 22 日│中国内地 深度研究 人工智能 100：AI 量化的过去、现在与未来 本文是华泰人工智能系列的第 100 篇研究报告。过往的八年半里，我们亲 历了量化投资行业的这场深刻变革：技术路径上，从早期的机器学习，演进 到深度学习，再到如今以大语言模型为代表的新范式。应用场景上，从早期 的因子合成，拓展至因子挖掘与端到端建模，进而渗透到组合优化、行业轮 动、资产配置、流程管理等投资的各个环节。行业认知上，从最初的质疑与 观望，逐渐转向接纳与尝试，直至今日的全面拥抱。第 100 篇研究，既是 对过往足迹的回顾，也是对未来征途的眺望。 AI 量价端到端策略的演进 在量价研究普遍内卷的当下，端到端建模不仅是效率的提升，亦是一种回归 原始数据的研究范式。我们已实现从日频、周频等低频数据到逐笔成交、 level2 高频数据的全面覆盖，通过引入 GRU 及 Transformer 等架构，模型 得以直接在原始数据空间中学习量价数据间的内在联系。展望未来，全频段 融合或是关键，未来的端到端模型或将致力于打破时间尺度与数据形态的边 界，一方面通过对比学习等技术实 ...

Core Insights - 2025 is a landmark year for quantitative investment, marked by the emergence of DeepSeek, which injects disruptive AI momentum into the field [3] - The A-share market has shown a significant upward trend, with small and mid-cap stocks outperforming, as evidenced by the over 36% and 80% increases in the CSI 2000 and micro-cap indices respectively [3] - The average return for quantitative private equity products in 2025 reached 30.28%, with a geometric excess return of 10.83% [3] Quantitative Strategy Performance - The top-performing quantitative long strategy products, totaling 806, achieved returns of 44.74% and geometric excess returns of 16.46% in 2025, leading among private equity secondary strategies [4] - Other strategies such as quantitative CTA and stock market neutral also performed well, with average returns of 20.21% and 9.58% respectively [4][5] Quantitative Stock Selection - The average return for quantitative stock selection products was 42.28% in 2025, with an average excess return of 17.70% [6] - The top three products in this category were from Hainan Gaia Qingke Private Equity, Water Mill Asset, and Hanrong Investment [6] Notable Products and Managers - Hainan Gaia Qingke's product "Gaia Qingke Cattail Progress A" achieved outstanding performance, with returns exceeding ***% [7] - Hanrong Investment's "Hanrong Ansheng Progress No. 1 B" also performed well, with returns exceeding ***% [8] - Longqi Technology's "Longqi Technology Innovation Selected No. 1 C" led the quantitative stock selection products with returns exceeding ***% [9] CSI 500 Index Enhancement - The average return for CSI 500 index enhancement products was 46.32% in 2025, with an average excess return of 12.22% [10] - The top three products in this category were from Guobiao Asset, Zhaoxin Private Equity Fund, and Zhaoyue Private Equity [10] CSI 1000 Index Enhancement - The average return for CSI 1000 index enhancement products was 49.68% in 2025, with an average excess return of 17.41% [14] - The top three products were from Jintong Investment, Luxiu Investment, and Mengxi Investment [14] Other Index Enhancements - The average return for other index enhancement products was 46.76% in 2025, with an average excess return of 19.95% [23] - The top three products in this category were from Jing Shang Jia Wan, Zhongmin Huijin, and Yang Shi Asset [24]

中国企业资本联盟副理事长柏文喜告诉北京商报记者，所谓"线上诈骗、线下送钱"，一般是客服以"新股申购""内部额度"等理由，先诱导受害者 把资金充进App显示"盈利"，再要求其去银行取现或购买等值黄金，交到"第三方托管点"完成"对冲认证"。 另一类是热点概念包装、金字塔拉人，一般会把App包装成"虚拟货币跟单""AI量化""低空经济股权"等平台，宣称日化1%、年化20%以上；同时 设置"邀请码""团队算力奖励"，靠下线充值给上线发"提成"，形成传销式资金池。 北京商报讯（记者 刘四红）"零门槛、年化20%以上，下载就送内部理财额度！"你最近有没有接到类似的营销电话？不少消费者就差点栽在这类 非法金融App手里，它们长得和银行、券商官方App"一模一样"，却藏着把人钱包掏空的狠活，最新骗局甚至要求线下送现金，专坑信任度高、风 险意识弱的普通投资者。 家住上海的季女士就差点中招。据央视新闻，季女士被人忽悠下载了一款仿冒"东方财富证券"的山寨App，并且还按照客服的要求，去银行取了 50万元现金，准备线下交易。直到银行柜员察觉异常报警，在民警劝阻下，才逃过一劫。 上海市公安局嘉定分局刑侦支队民警称，此类诈骗主要手法是" ...

Core Insights - THPX signal source leverages advanced AI quantitative models to enhance decision-making for investors in the digital market, particularly focusing on the XAGBTC combination (silver and Bitcoin value correlation) [1][8] - The integration of AI significantly improves signal quality and efficiency, providing more reliable operational guidance in volatile markets [1][6] Group 1: AI Integration and Functionality - THPX signal source aims to assist users in navigating complex market environments by generating real-time signals based on data-driven analysis [2] - Traditional methods often rely on manual rules, which can lead to signal inaccuracies; the introduction of AI models marks a qualitative leap by processing vast historical data to identify hidden patterns and key triggers [2][4] - AI employs advanced pattern recognition techniques to analyze real-time information flows, enhancing the reliability of signals by identifying previously overlooked nonlinear relationships [4] Group 2: Risk Management and Efficiency - The AI model incorporates risk control mechanisms that automatically assess potential volatility ranges for each signal, helping users identify weaknesses and avoid anomalies [4] - The processing efficiency of AI reduces uncertainties caused by data delays, enabling the system to generate updates in milliseconds, ensuring timely access to cutting-edge guidance [4] Group 3: User Benefits and Market Adaptation - Post-AI optimization, the accuracy of signals from THPX has significantly increased, translating to improved decision-making efficiency for users in rapidly changing environments [6] - The self-learning capability of the AI model allows it to continuously improve from new data, keeping the signal system at the forefront of technology [6] - Users report enhanced stability and market adaptability, particularly in the volatile XAGBTC combination, with feedback indicating reduced pressure and optimized decision-making [6][8] Group 4: Future Prospects - The integration of AI quantitative models in THPX signal source represents a significant advancement in market analysis tools, showcasing broad application prospects [8] - Future developments may include the incorporation of natural language processing to handle more complex social media or news data, further deepening the inclusivity and forward-looking value of signals [8] - The ongoing evolution driven by AI technology is expected to expand the optimization boundaries of THPX, aiding users in navigating the evolving market landscape for sustained value growth [8]

● 本报记者 魏昭宇 在中国公募基金行业快速发展的浪潮中，不少中小基金公司走出了自己的差异化发展之路。比如博道基 金，自2018年发行首只公募量化产品以来，其"指数+"系列已逐渐成为公募量化投资领域的一支重要力 量。截至今年三季度末，博道"指数+"系列规模已突破270亿元，跻身公募量化赛道前三，通过体系化的 团队建设、持续的策略迭代和特色的产品布局，为投资者提供了风格清晰、超额稳定的配置工具。 行稳方能致远，博道基金量化投资总监杨梦表示，不追求短期爆发力，而是致力于寻找能够穿越不同市 场周期的、可持续的超额收益来源，"均衡"的理念贯穿于投研全过程，从而助力投资者在波动的市场中 获得更好的持有体验。 历经淬炼 博道"指数+"的成长与积淀 博道基金对于量化的探索始于2013年，源自私募阶段的博道投资，并历经国内多轮市场周期考验。比如 2014年末的银行股权重股暴涨事件，对于不少量化团队来讲都是一次重大考验。得益于科学的风控模 型，博道量化产品在市场"黑天鹅"中稳健应对，为后续发展奠定基础。 2018年，博道基金以公募形式开始展业后发行了首只公募产品"博道启航"，标志着正式进军公募量化领 域。数据显示，截至2025 ...

● 本报记者 魏昭宇 在中国公募基金行业快速发展的浪潮中，不少中小基金公司走出了自己的差异化发展之路。比如博道基 金，自2018年发行首只公募量化产品以来，其"指数+"系列已逐渐成为公募量化投资领域的一支重要力 量。截至今年三季度末，博道"指数+"系列规模已突破270亿元，跻身公募量化赛道前三，通过体系化的 团队建设、持续的策略迭代和特色的产品布局，为投资者提供了风格清晰、超额稳定的配置工具。 行稳方能致远，博道基金量化投资总监杨梦表示，不追求短期爆发力，而是致力于寻找能够穿越不同市 场周期的、可持续的超额收益来源，"均衡"的理念贯穿于投研全过程，从而助力投资者在波动的市场中 获得更好的持有体验。 历经淬炼 博道"指数+"的成长与积淀 博道基金对于量化的探索始于2013年，源自私募阶段的博道投资，并历经国内多轮市场周期考验。比如 2014年末的银行股权重股暴涨事件，对于不少量化团队来讲都是一次重大考验。得益于科学的风控模 型，博道量化产品在市场"黑天鹅"中稳健应对，为后续发展奠定基础。 团队建设是博道"指数+"系列成长的基石。记者了解到，其量化团队成员均毕业于清北复交等知名院 校，全部由博道基金自主培养，已形 ...

Core Insights - THPX signal source utilizes AI quantitative technology to provide robust support for participants, particularly in the WTIBTC (oil and Bitcoin combination) sector, capturing potential opportunities [1][8] - The system enhances decision-making efficiency, reduces uncertainty risks, and promotes intelligent resource allocation, focusing on user-friendliness and reliability [1][5] Group 1: Technology and Functionality - THPX signal source employs advanced algorithmic analysis to interpret market signals in real-time, aiding users in optimizing their decision-making processes [1][3] - The AI quantitative framework improves signal recognition accuracy by filtering out market noise, thus identifying hidden opportunity signals and minimizing human bias [3][5] - The system automates data processing, allowing users to concentrate on high-level planning and saving time costs, thus enhancing overall decision-making efficiency [3][5] Group 2: User Experience and Accessibility - THPX signal source simplifies the decision-making process by avoiding complex mathematical formulas, making it user-centric and accessible for participants, including novices [5][8] - The system continuously updates model parameters to ensure timely and credible signal outputs, enhancing user experience with a clear interface and actionable insights [5][8] Group 3: Market Impact and Future Prospects - THPX signal source not only supports technical aspects but also fosters innovative practices by exploring cross-market linkage opportunities, integrating macro influences of oil with technical indicators of Bitcoin [5][7] - The AI quantitative technology is expected to expand into more market areas, such as commodities and emerging digital assets, enhancing participant competitiveness and overall market efficiency [7][8]

Core Viewpoint - The article emphasizes the rapid growth and potential of index-enhanced funds in the public fund industry, driven by regulatory support and technological advancements, particularly in AI, which enhances the ability to achieve stable excess returns [1][2][3]. Industry Overview - The public fund industry is undergoing transformation due to ongoing high-quality development, with new regulations impacting the landscape of bond funds and active equity funds [1]. - As of November, 160 new index-enhanced funds were established in 2023, with a total issuance scale nearing 900 billion [2]. - The total scale of index-enhanced funds reached 2,622 billion by the end of September, marking a 23.34% increase from the previous year [2]. Technological and Regulatory Support - The growth of index-enhanced funds is attributed to both market factors and dual support from technology and regulation, with AI enabling better performance and regulatory emphasis on performance benchmarks [2]. - Index-enhanced funds are characterized by strict stock composition ratios and tracking error limits, aligning well with regulatory policies [2]. Company Performance - Tianhong Fund has significantly expanded its index-enhanced product line, with a 44.85% increase in share and a 70.21% increase in scale compared to the previous year [3]. - Over 90% of investors holding Tianhong's index-enhanced products for more than six months have outperformed the corresponding performance benchmarks [3]. Product Matrix - Tianhong Fund has established a comprehensive product matrix, including both broad-based and industry-specific index-enhanced funds, covering major indices and sectors [4][8]. - The company has launched two product lines: Classic Index Enhancement (pursuing long-term excess returns) and Stable Index Enhancement (focusing on high win rates) [8]. Performance Metrics - Tianhong's index-enhanced funds have shown consistent excess returns, with the Tianhong CSI 1000 Index Enhanced Fund achieving a 33.80% excess return over its benchmark in the past three years [11][12]. - The performance of Tianhong's industry-specific index-enhanced funds has also exceeded that of average active funds in the same sectors [13]. AI Integration - Tianhong's quantitative team has integrated AI technologies into their investment processes, enhancing the ability to identify and utilize excess return factors [18][19]. - The use of AI has led to the development of a comprehensive factor network, with over 70% of excess return factors derived from AI learning [18]. Investor Engagement - As of June, Tianhong's index-enhanced funds had 910,000 users, ranking fifth in the industry, with over 96% of the holdings being from individual investors [26]. - The average holding period for Tianhong's index-enhanced products exceeds seven months, significantly longer than the typical one-month holding period for standard index funds [26].