Group 1 - The report tracks stocks, industries, and sectors reaching new highs, indicating market trends and hotspots [1][4] - As of January 30, 2026, the distance to the 250-day new high for major indices is as follows: Shanghai Composite Index 1.14%, Shenzhen Component Index 1.62%, CSI 300 1.76%, CSI 500 2.68%, CSI 1000 2.55%, CSI 2000 3.34%, ChiNext Index 1.24%, and STAR 50 Index 2.99% [6][26] - Among the CITIC first-level industry indices, the sectors closest to their 250-day new highs are Communication, Oil & Petrochemicals, Building Materials, Nonferrous Metals, and Light Industry Manufacturing [9][26] Group 2 - A total of 1,606 stocks reached a 250-day new high in the past 20 trading days, with the highest number of new highs in the Machinery, Electronics, and Basic Chemicals sectors [2][14] - The sectors with the highest proportion of new high stocks are Nonferrous Metals (70.73%), National Defense & Military Industry (63.11%), and Oil & Petrochemicals (62.75%) [14][26] - The manufacturing and technology sectors had the most new high stocks this week, with 513 and 497 stocks respectively [17][26] Group 3 - The report identifies 50 stocks with stable new highs, including Purun Co., Yaxiang Integration, and Yuanjie Technology, primarily from the cyclical and technology sectors [3][22] - The cyclical sector had the most new high stocks, particularly in the Basic Chemicals industry, while the technology sector saw the most in the Electronics industry [22][27]

Group 1 - The report tracks stocks, industries, and sectors reaching new highs, indicating market trends and hotspots, with a focus on the effectiveness of momentum and trend-following strategies [1][4] - As of January 23, 2026, the Shanghai Composite Index, Shenzhen Component Index, and other major indices have varying distances from their 250-day highs, with the Shanghai Composite at 0.70% and the Shenzhen Component at 0.00% [5][25] - Among the CITIC first-level industry indices, sectors such as machinery, automotive, non-ferrous metals, textiles, and steel are closest to their 250-day highs, while food and beverage, banking, agriculture, pharmaceuticals, and non-bank financials are further away [8][25] Group 2 - A total of 1,464 stocks reached 250-day highs in the past 20 trading days, with the highest numbers in the machinery, electronics, and basic chemicals sectors [2][13] - The highest proportion of new high stocks is found in the defense, non-ferrous metals, and oil and petrochemicals sectors, with respective proportions of 63.11%, 61.79%, and 48.00% [13][15] - The manufacturing and technology sectors have the most stocks reaching new highs this week, with respective counts of 482 and 459 [15] Group 3 - The report identifies 50 stocks with stable new highs, focusing on analyst attention, relative strength, price path stability, and continuity of new highs, with the most stocks from the cyclical and technology sectors [3][20] - The cyclical sector has the highest number of new highs in the basic chemicals industry, while the technology sector has the most in the electronics industry [20][26]

Group 1: Risk Parity Strategy Insights - Traditional risk parity strategies using stocks and bonds performed poorly in 2022 due to simultaneous declines in both asset classes and a shift to positive correlation[2] - Incorporating trend-following strategies into the risk parity framework can enhance risk-adjusted returns, increasing the Sharpe ratio from 0.56 to 0.63[4] - A three-asset combination of stocks, bonds, and optimized trend strategies showed the best long-term performance, balancing bond yield contributions with the adaptability of trend-following[4] Group 2: Methodology and Backtesting Results - The study utilized historical data from 1999 to 2023, comparing various portfolio configurations and employing a target portfolio volatility of 15%[3] - Trend-following strategies improved portfolio performance metrics, including a reduction in negative skewness and kurtosis, indicating better risk management[4] - Replacing bonds entirely with trend-following strategies led to a decrease in annualized returns by approximately 1.18 percentage points, primarily due to the strong performance of bonds from 2010 to 2020[32] Group 3: Optimized Trend Strategy Benefits - The introduction of a "spread optimization" filter in trend-following strategies significantly improved portfolio performance compared to standard trend strategies[38] - Using the optimized trend strategy resulted in a compound annual growth rate (CAGR) of 10.58%, compared to 8.46% for the traditional stock and bond combination[41] - The optimized trend strategy also enhanced risk-adjusted metrics, with a Sharpe ratio of 0.79 versus 0.56 for the traditional approach[41] Group 4: Inclusion of Commodities - Including commodities in the risk parity portfolio reduced the CAGR to 6.61%, but adding trend-following strategies improved returns to 7.30%[51] - The optimized trend strategy maintained its effectiveness even when commodities were included, demonstrating its complementary role in diversifying risk[57]

- The report introduces a quantitative model named "250-day new high distance" to track market trends and identify hot sectors. The model is based on momentum and trend-following strategies, which have been proven effective in previous studies[11][18][19] - The construction process of the "250-day new high distance" model is as follows: Formula: $ 250\text{-day new high distance} = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Explanation: - $ Close_t $ represents the latest closing price - $ ts\_max(Close, 250) $ represents the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance equals 0; otherwise, it is a positive value indicating the degree of pullback from the high[11] - The model evaluates the proximity of major indices to their 250-day highs. For example, as of December 26, 2025, the 250-day new high distances for indices such as the Shanghai Composite Index and the ChiNext Index are 1.63% and 12.56%, respectively[12][31] - The report highlights the effectiveness of tracking stocks that consistently hit new highs, as these stocks often lead market trends. This approach aligns with the principles discussed in "The Stock Wizard" and other momentum-based studies[18][19] - A screening method for "stable new high stocks" is introduced, focusing on factors such as analyst attention, relative stock strength, price path smoothness, and trend sustainability. Stocks are selected based on their performance over the past 120 days and their ability to maintain a stable upward trajectory[24][27] - The screening process includes specific metrics: - Analyst attention: At least five buy or overweight ratings in the past three months - Relative stock strength: Top 20% in market performance over the past 250 days - Price path smoothness: Evaluated using metrics like price displacement ratio - Trend sustainability: Average 250-day new high distance over the past 120 days and the last five days[27] - The report identifies 50 "stable new high stocks" for the week, including companies like Zhongji Xuchuang, Yingweike, and Xinyisheng. These stocks are primarily concentrated in cyclical and technology sectors, with the highest representation in industries like non-ferrous metals and renewable energy equipment[28][32] - Backtesting results show that the "250-day new high distance" model effectively captures market trends and identifies leading stocks. For instance, indices closer to their 250-day highs often exhibit stronger momentum, and stocks with stable new highs demonstrate consistent upward trajectories[12][31][32]

报 告 摘 要 平稳创新高股票跟踪 我们根据分析师关注度、股价相对强弱、趋势延续性、股价路径平稳性、创新高持续性等角度，本周从全市场创新高股票中筛选出了包含中际旭创、英维 克、新易盛等50只平稳创新高的股票。按照板块来看，创新高股票数量最多的是周期、科技板块，分别有21、15只入选。其中，周期板块中创新高最多的 是有色金属行业；科技板块中创新高最多的是电力设备及新能源行业。 一 乘势而起：市场新高趋势追踪 乘势而起：市场新高趋势追踪 触及新高的个股、行业和板块可被视为市场的风向标。越来越多的研究表明动量、趋势跟踪策略的有效性。本报告旨在定期跟踪市场中创新高的个股及其 分布，以追踪市场趋势、把握市场热点。 截至2025年12月26日，上证指数、深证成指、沪深300、中证500、中证1000、中证2000、创业板指、科创50指数250日新高距离分别为1.63%、 0.89%、1.91%、1.19%、0.56%、0.05%、2.42%、12.56%。中信一级行业指数中国防军工、有色金属、建材、机械、轻工制造行业指数距离250日 新高较近，食品饮料、银行、医药、综合金融、房地产行业指数距离250日新高较远。概念指数中 ...

文章转自2025年05月21日太平洋 金融工程团队 报告 ，分析师： 刘晓锋 /孙弋轩 报告从标的回撤规律的角度着手，使用迭代方法筛选出可适用的行业，并通过设置合理的入场阈值给定了高质量的左侧买点，以此给出了各个行业在回调阶段的配置 区间建议，奠定了太平洋金工团队后续模型改进的基础，并可作为基准对于后续模型效果作出评估。 正文报告 01 行业指数VS沪深300 沪深300由不同行业的个股组成，考虑自上而下的选股模式，考察时间区间（2010年1月至2025年3月）内的各行业回报率： 31个行业中有17个行业回报率超过了沪深 300。 综合行业指数相对沪深300的净值以及相应的回撤信息，我们可以总结以下三点： 02 偏离修复策略 行业指数相对沪深300的偏离（情景一）： 1、在行业层面，选择行业构建组合具有较大概率获取超收益，以简单平均配置为例，可以在区间内获得34%的超额回报； 2、买入并持有单行业相对于沪深300的，可能会产生了较大的回撤，以及较长的回撤时间，存在择时必要性； 3、趋势跟踪已经在前期报告做过阐述，考虑到该策略过程中无法提供空间信息，因此本文考虑空间方面的策略。 业指数相对沪深300的偏离（情景 ...

证券研究报告 | 2025年12月19日 热点追踪周报 由创新高个股看市场投资热点（第 224 期） 乘势而起：市场新高趋势追踪：截至 2025 年 12 月 19 日，上证指数、深 证成指、沪深 300、中证 500、中证 1000、中证 2000、创业板指、科创 50 指数 250 日新高距离分别为 3.45%、4.26%、3.78%、5.03%、4.16%、 2.16%、6.08%、14.98%。中信一级行业指数中轻工制造、有色金属、通 信、国防军工、消费者服务行业指数距离 250 日新高较近，食品饮料、 综合金融、房地产、医药、建筑行业指数距离 250 日新高较远。概念指 数中，十大军工集团、卫星导航、家居用品、卫星互联网、金属非金属、 航天军工、林木等概念指数距离 250 日新高较近。 见微知著：利用创新高个股进行市场监测：截至 2025 年 12 月 19 日，共 620 只股票在过去 20 个交易日间创出 250 日新高。其中创新高个股数量最多的 是机械、电子、基础化工行业，创新高个股数量占比最高的是国防军工、有 色金属、轻工制造行业。按照板块分布来看，本周制造、科技板块创新高股 票数量最多；按 ...

报 告 摘 要 乘势而起：市场新高趋势追踪 触及新高的个股、行业和板块可被视为市场的风向标。越来越多的研究表明动量、趋势跟踪策略的有效性。本报告旨在定期跟踪市场中创新高的个股及其 分布，以追踪市场趋势、把握市场热点。 截至2025年12月5日，上证指数、深证成指、沪深300、中证500、中证1000、中证2000、创业板指、科创50指数250日新高距离分别为3.14%、 4.21%、3.44%、5.98%、4.00%、2.50%、6.47%、13.84%。中信一级行业指数中家电、轻工制造、有色金属、通信、建材行业指数距离250日新高 较近，食品饮料、综合金融、银行、医药、商贸零售行业指数距离250日新高较远。概念指数中，卫星互联网、卫星导航、家用电器、家居用品、林木、黄 金、家用电器等概念指数距离250日新高较近。 见微知著：利用创新高个股进行市场监测 截至2025年12月5日，共965只股票在过去20个交易日间创出250日新高。其中创新高个股数量最多的是基础化工、电力设备及新能源、机械行业，创新 高个股数量占比最高的是煤炭、纺织服装、石油石化行业。按照板块分布来看，本周周期、制造板块创新高股票数量最多；按照 ...

Group 1 - The core strategy of "Linglong Twin" is consistency in trading, emphasizing the importance of a fixed strategy for long-term success [2] - The trader focuses on high volatility and liquid commodities, applying trend-following strategies primarily in these markets [2] - The trader's approach involves technical analysis, entering trades after confirming trends through specific price movements [2] Group 2 - "Linglong Twin" experienced significant challenges during the transition from arbitrage to trend trading, facing a period of consecutive losses [3] - The trader adopted a scientific approach to overcome setbacks, including rigorous backtesting and strict risk management [3] - A pivotal moment in the trader's career was the realization of effective money management principles, which led to a more structured trading process [3] Group 3 - The trader's philosophy centers on the idea that there is no optimal trading solution, advocating for a pragmatic approach to balancing risk and reward [4] - Strict risk management practices are emphasized, including the necessity of stop-loss orders and objective position sizing based on strategy backtesting [4] - The trader's approach to profit-taking varies based on the nature of the funds, with a focus on securing profits from pressured capital while allowing idle funds to grow [4] Group 4 - "Xiran Investment" has a core philosophy of identifying ten to fifteen uncorrelated return streams to achieve low drawdown and stable profits [7] - The company focuses on finding market "errors," particularly in high-volume and high-volatility products, to capitalize on mispriced opportunities [7] - Multi-crystalline silicon has emerged as a key focus due to its significant price fluctuations and its role as a leading product in the "anti-involution" market trend [8] Group 5 - The company employs a multi-directional arbitrage strategy during competitions, particularly between multi-crystalline silicon and industrial silicon [9] - Options trading is utilized flexibly based on volatility, enhancing returns while managing risks through a combination of futures and options strategies [9] - The company has developed a comprehensive research framework based on industry communication, despite not conducting on-site investigations [8]

Core Insights - Aspect Capital's private fund business in China has exceeded expectations despite being operational for less than a year, driven by high macroeconomic uncertainty and increasing demand for diversified returns from investors [1] - The firm has registered as a private securities manager in China with assets under management between 1 billion and 2 billion RMB [1] Group 1: Market Entry Strategy - Aspect Capital began researching models suitable for the Chinese market in 2011, ensuring they had the experience and capability to build competitive projects before establishing an office [4] - The company developed a comprehensive business plan, identifying necessary infrastructure, key market participants, and recruitment needs [4] Group 2: Cultural and Team Building - The core cultural values emphasized by Aspect include communication, openness, mutual respect, and enthusiasm for challenges, which are crucial for all employees in Shanghai [5] - Recruitment principles in China mirror those in London, focusing on diversity in viewpoints and educational backgrounds while ensuring alignment with core cultural values [5] Group 3: Strategy Customization for China - Chinese clients prioritize achieving or exceeding performance expectations, which include attractive absolute returns and low correlation with stock and bond markets [7] - Transparency is essential for investors, who need to understand the reasons behind performance, regardless of whether it is positive or negative [8] Group 4: International Investor Interest - There is a growing interest among European investors in allocating assets to Chinese stocks, particularly following China's economic recovery in recent years [14] - Investors are seeking strategies that provide low correlation with Chinese equities, which Aspect's futures strategies can offer [14] Group 5: Business Progress in Shanghai - Aspect Capital's strategies have shown competitive performance in the Chinese market, allowing for faster-than-expected asset growth due to team capabilities and established partnerships [15] Group 6: Historical Context of CTA Strategies - CTA strategies have a long history, with the first managed futures fund established in 1949, and have evolved through various market conditions [16] - The industry saw significant growth in the 1970s, driven by geopolitical tensions and economic turmoil, leading to the establishment of many existing CTAs [16][17] Group 7: Crisis Alpha Mechanism - "Crisis alpha" refers to the ability of CTAs to deliver strong returns during prolonged crises, with a proven track record during significant market downturns [18] - Historical data indicates that managed futures strategies can generate positive returns in environments where stock and bond markets are declining [19] Group 8: Model Adjustments for China - Aspect has tailored its models for the Chinese market, reducing the allocation to trend-following strategies and increasing the focus on other models such as rapid technical, fundamental, and value models [10] - Adjustments include changes in the weight of different frequency models and the unique market coverage available in China [11][12] Group 9: Research Methodology - Aspect employs a hypothesis-driven approach to machine learning to avoid overfitting, starting with market behavior assumptions rather than purely data-driven methods [22] - This approach allows for the development of models that capture market trends effectively while mitigating risks associated with overfitting [22]