1. Investment Analysis of ETF Strategy Indexes 1. ETF Strategy Index Tracking - The Huabao Research Large - Small Cap Rotation ETF Strategy Index uses a machine - learning model based on multi - dimensional technical indicator factors to predict the return difference between the Shenwan Large - Cap Index and Shenwan Small - Cap Index. It outputs signals weekly to predict the strength of the index in the next week and determines positions accordingly to obtain excess returns relative to the market. As of April 18, 2025, the excess return since 2024 was 16.43%, the excess return in the recent month was 0.85%, and the excess return in the recent week was 0.28% [13][14][17]. - The Huabao Research SmartBeta Enhanced ETF Strategy Index uses price - volume indicators to time self - built barra factors and maps timing signals to ETFs based on their exposure to 9 major barra factors, aiming to outperform the market. As of April 18, 2025, the excess return since 2024 was 18.35%, the excess return in the recent month was 4.41%, and the excess return in the recent week was 2.88% [16][17][20]. - The Huabao Research Quantitative Fire - Wheel ETF Strategy Index takes a multi - factor approach, including long - and medium - term fundamental analysis, short - term market trend tracking, and analysis of market participants' behaviors. It uses valuation and crowding signals to indicate industry risks and multi - dimensionally explores potential sectors to gain excess returns relative to the market. As of April 18, 2025, the excess return since 2024 was 0.57%, the excess return in the recent month was - 0.94%, and the excess return in the recent week was - 0.37% [20][21][24]. - The Huabao Research Quantitative Balance ETF Strategy Index adopts a multi - factor system, including economic fundamentals, liquidity, technical aspects, and investor behavior. It constructs a quantitative timing system to judge the equity market trend, establishes a prediction model for market large - and small - cap styles to adjust the equity market position distribution, and comprehensively gains excess returns relative to the market through timing and rotation. As of April 18, 2025, the excess return since 2024 was 2.10%, the excess return in the recent month was 3.15%, and the excess return in the recent week was - 0.33% [23][24][26]. - The Huabao Research Hot - Spot Tracking ETF Strategy Index tracks and mines hot - spot index target products in a timely manner through strategies such as market sentiment analysis, industry event tracking, investor sentiment and professional opinions, policy and regulatory changes, and historical deduction. It constructs an ETF portfolio that can capture market hot - spots, providing investors with short - term market trend references and assisting them in making more informed investment decisions. As of April 18, 2025, the excess return in the recent month was 2.37%, and the excess return in the recent week was - 0.08% [26][29][30]. - The Huabao Research Bond ETF Duration Strategy Index uses bond market liquidity indicators and price - volume indicators to screen effective timing factors and predicts bond yields through machine learning. When the expected yield is below a certain threshold, it reduces the long - duration positions in the bond investment portfolio to enhance the portfolio's long - term returns and drawdown control ability. As of April 18, 2025, the excess return in the recent month was 0.16%, and the excess return in the recent week was 0.23% [30][31][34].

2025 年 04 月 20 日 证券研究报告 | 策略周报 政治局会议临近，应如何布局？ 策略周报 分析师：刘芳 分析师登记编码：S0890524100002 电话：021-20321091 邮箱：liufang@cnhbstock.com 分析师登记编码：S0890524080002 电话：021-20321080 邮箱：haoyifan@cnhbstock.com 021-20515355 1、《关税对 A 股哪些行业影响较大？— 策略周报》2025-04-13 2、《关税迷雾叠加美股震荡，资产应如 何配置？—策略周报》2025-03-30 3、《科技主线重燃，二次上行可期 —策 略周报》2025-03-09 4、《从关税博弈到 AI+突围—策略周 报》2025-02-23 5、《市场情绪持续回暖，春季躁动有望 延续 —策略周报》2025-02-16 投资要点 分析师：郝一凡 销售服务电话： 相关研究报告 【债市方面】政策窗口期短端更为占优。若降准降息政策落地，将直接释放 流动性，推动短端利率债收益率直接下行，长端利率将随之下行。若未释放明 确宽松信号，市场或延续"上有供给顶、下有流动性底"的震荡格局。 ...

| http://www.cninfo.com.cn/new/disclosure/detail?stockCode=002537&announcementId=122306 | 002537 | 海联金汇 | 8349&orgId=9900016929&announcementTime=2025 | -04-14 | | --- | --- | --- | --- | --- | | http://www.cninfo.com.cn/new/disclosure/detail?stockCode=002896&announcementId=122306 | 002896 | 中大力德 | 7893&orgId=9900033209&announcementTime=2025 | -04-14 | | http://www.cninfo.com.cn/new/disclosure/detail?stockCode=002133&announcementId=122306 | 002133 | 广宇集团 | 7427&orgId=9900002761&announcementTime=2025 | -04-14 ...

| 新股发行及今日交易提示 | 2025/4/16 | 星期三 | | | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | 2025/4/16 | 新股上市 | 证券代码 | 证券简称 | 发行价格 | | | | | | | 603120 | 肯特催化 | 15.00 | 2025/4/16 | 内地市场权益提示 | | | | | | | 类别 | 证券代码 | 证券简称 | 权益日期 | 最新公告链接 | http://www.cninfo.com.cn/new/disclosure/detail?stockCode=600705&announcementId=122309 | 600705 | 中航产融 | 现金选择权申报期 | ：2025年4月23日至2025年4月25日 | | 6474&orgId=gssh0600705&announcementTime=2025 | -04-15 | 现金选择权 | http://www.cninfo.com.cn/new/disclosure/detail?s ...

Market Overview - In March 2025, the equity market entered a correction phase, while the commodity market continued to experience fluctuations. Early March saw a continuation of optimistic risk appetite, but by mid-March, the market became more cautious due to earnings season and various disturbances following Trump's administration, leading to a market decline. The market style shifted from small-cap growth to large-cap value, with trading focus diversifying towards sectors like non-ferrous metals, consumer services, and defense [3][14]. Equity Market Performance - The public quantitative strategy performance showed varied results across different indices. For the CSI 300 index, the monthly return was -0.07%, with strict constraint strategies yielding an excess return of 0.57%, SmartBeta strategies at 0.85%, and rotation strategies at 0.70%. The CSI 500 index had a monthly return of -0.04%, with excess returns of 1.39% for strict constraint strategies, 1.82% for SmartBeta, and 1.64% for rotation strategies. The CSI 1000 index saw a monthly return of -0.70%, with excess returns of 1.58%, 2.02%, and 2.45% for the respective strategies [4][17][25]. Private Fund Strategy Performance - In March 2025, the best-performing private fund strategy was the CSI 1000 index strategy with an annualized return of 26.20%. The quantitative stock selection strategy followed with a return of 20.50%, while the CSI 500 index strategy achieved 16.24%. The CSI 300 index strategy lagged with a return of only 0.17%. In the relative value strategy, the convertible bond strategy performed well with a return of 22.67%, while the market-neutral strategy returned 10.22% and the ETF arbitrage strategy returned 3.66%. In the managed futures strategy, the options arbitrage strategy led with a return of 9.31% [5][29][32]. Market Environment Factors - The equity market in March experienced a style shift towards large-cap value, which increased the difficulty for quantitative strategies to achieve excess returns. The volatility in value-growth styles also heightened market instability, impacting the performance of quantitative strategies. Despite a decrease in market volatility and turnover rate, trading volume remained within a "comfortable zone" for quantitative strategies, suggesting a lower likelihood of significant declines in excess returns in the short term [6][30][34]. Commodity Market Analysis - The commodity market in March showed mixed performance influenced by overseas disturbances. The energy sector saw oil prices rise due to new production cuts from OPEC+ and increased sanctions on Iran and Venezuela. Conversely, the black metal prices declined due to unmet domestic demand. Gold prices surged significantly as a safe-haven asset amid uncertainties regarding international trade and economic outlooks [14][36]. Conclusion - Overall, the report indicates a complex market environment with shifting styles and varied performance across different strategies. The quantitative strategies face challenges due to increased volatility and changing market dynamics, while certain sectors within the commodity market present potential opportunities for investors [30][34][36].

New Stock Issuance - Jiangshun Technology (Stock Code: 001400) issued at a price of 37.36[1] - Zhongjie Automobile (Stock Code: 301560) issued at a price of 16.50[1] - Xinkai Technology (Stock Code: 001335) listed at a price of 12.80[1] Cash Option Announcements - AVIC Capital (Stock Code: 600705) cash option declaration period from April 23 to April 25, 2025[1] - Yulong Co., Ltd. (Stock Code: 601028) cash option declaration period from April 17 to April 23, 2025[1] Tender Offer Periods - ST Xinchao (Stock Code: 600777) tender offer period from April 8 to May 7, 2025[1] Market Alerts - Significant abnormal fluctuations reported for Guofang Group (Stock Code: 601086)[1] - Multiple companies listed with abnormal fluctuations, including Zhongyuan Home (Stock Code: 603709) and Shiyuan Co., Ltd. (Stock Code: 603688)[3]

Report Investment Rating No investment rating information is provided in the report. Core Viewpoints - Amid escalating global political and economic uncertainties and significant asset price fluctuations due to tariff tensions, the Evergreen Low-Volatility Strategy maintained its low-volatility defensive nature, serving as a stabilizer in the portfolio. This week, the active equity fund index dropped 3.9%, while the Evergreen Low-Volatility Strategy only fell 2.7%, achieving an excess return of 1.2% [3]. - The preference for quantitative strategies is: Evergreen Low-Volatility Strategy > Overseas Equity Strategy > Equity Fund Enhancement Strategy. For A-shares, the short- to medium-term view is upgraded to neutral. The Evergreen Low-Volatility Strategy is expected to offer better cost-effectiveness and is suitable for a balanced offensive and defensive strategy. As the tense situation eases, a shift to more aggressive strategies can be considered [4]. - Overseas markets have experienced a significant short-term decline. The US stock market may be approaching a short-term bottom. Investors with low overseas positions can consider appropriate bottom - fishing. In the long run, the US stock market is still expected to reverse and rise, and global investment has strong diversification value [5]. - The Evergreen Low-Volatility Fund Strategy is still worth allocating due to its stability and the potential attention from long - term funds with low - risk preferences. The Equity Fund Enhancement Strategy's excess performance awaits a market turnaround. The Cash Enhancement Fund Strategy has achieved continuous excess returns, and the Overseas Equity Allocation Fund Strategy has long - term investment value despite short - term setbacks [5][6][7]. Summary by Directory 1. Tool - based Fund Portfolio Performance Tracking 1.1 Evergreen Low - Volatility Fund Portfolio - The Evergreen Low - Volatility Fund Portfolio has long maintained low - volatility characteristics, with significantly better portfolio volatility and maximum drawdown than the CSI Active Equity Fund Index. Since the strategy's launch on July 31, 2023, it has continued to show low drawdowns during market fluctuations and achieved good returns during rebounds, demonstrating both defensive and offensive capabilities [14]. 1.2 Equity Fund Enhancement Fund Portfolio - The Equity Fund Enhancement Fund Portfolio has been in operation for a short time. Its performance is close to the CSI Active Equity Fund Index. It is expected to have stronger elasticity after the market environment improves and can maintain a similar trend to the benchmark in a weak market [17]. 1.3 Cash Enhancement Fund Portfolio - After double - screening of risk elimination and scoring optimization, the Cash Enhancement Fund Portfolio has consistently outperformed its benchmark. Since the strategy's launch at the end of July 2023, it has accumulated an excess return of over 0.29%, providing a reference for investors in cash management [18]. 1.4 Overseas Equity Allocation Fund Portfolio - As a supplementary investment tool in the A - share equity market, since July 31, 2023, in the context of the Fed's interest - rate cut cycle and the boost of global technology stocks by artificial intelligence, the Overseas Equity Allocation Selected Fund Portfolio has accumulated high - level excess returns. Global allocation can enhance the returns of equity investment portfolios [21]. 2. Tool - based Fund Portfolio Construction Ideas 2.1 Evergreen Low - Volatility Fund Portfolio - The Evergreen Low - Volatility Fund Portfolio Strategy aims to select funds with long - term stable returns from actively managed high - equity - position funds. By considering factors such as historical drawdown, volatility, and valuation, a low - volatility active equity fund portfolio is constructed [26]. 2.2 Equity Fund Enhancement Fund Portfolio - The Equity Fund Enhancement Fund Portfolio Strategy aims to meet the needs of investors with higher risk preferences. It selects fund managers with strong Alpha - mining capabilities from actively managed equity funds. Based on the analysis of fund return sources, a portfolio strategy is constructed, which shows a high holding - period win rate in back - testing [27]. 2.3 Cash Enhancement Fund Portfolio - A currency fund selection system is constructed by considering various factors such as management fees, duration, leverage, institutional holding ratio, and deviation. This system helps investors select currency funds with higher returns and lower return volatility [28]. 2.4 Overseas Equity Allocation Fund Portfolio - In QDII funds, based on long - and short - term technical indicators, index momentum, and reversal effects, equity indices of multiple countries or regions are screened. QDII equity funds corresponding to the selected indices are used to construct an overseas market selected portfolio, meeting investors' needs for global allocation [25].

2025 年 04 月 15 日 证券研究报告 | 财富生态周报 ETF 及指数产品网格策略周报 2025/4/15 分析师：卫以诺 分析师登记编码：S0890522110001 电话：021-20321297 邮箱：chengbingzhe@cnhbstock.com 销售服务电话： 021-20515355 2025/4/9》2025-04-09 2、《ETF 及指数产品网格策略周报— 2025/4/1》2025-04-01 3、《ETF 及指数产品网格策略周报— 2025/3/25》2025-03-25 4、《ETF 及指数产品网格策略周报— 2025/3/18》2025-03-18 5、《ETF 及指数产品网格策略周报— 2025/3/11》2025-03-11 投资要点 分析师：程秉哲 ◆网格交易策略概述：简单来说，"网格交易"本质上是一种高抛低吸的交易 策略。但与依赖判断长期走势的趋势交易不同，网格交易是一种基于价格波动 的策略，它不预测市场的具体走势，而是利用价格在一定范围内的自然波动来 获取利润，适用于价格频繁波动的市场。在震荡行情中，投资者可以考虑灵活 运用网格交易，通过反复多次地赚取相对较 ...

New Stock Issuance - Tian You Wei (证券代码: 732202) issued at a price of 93.50 on April 14, 2025[1] - Yu Long Co., Ltd. (证券代码: 601028) cash option declaration period from April 17 to April 23, 2025[1] - ST Xin Chao (证券代码: 600777) tender offer period from April 8 to May 7, 2025[1] Market Alerts - Kai Mei Te Qi (证券代码: 002549) reported severe abnormal fluctuations[1] - Multiple companies including Zhi Cheng Technology (证券代码: 001270) and Shanghai Ya Shi (证券代码: 603329) have recent announcements regarding abnormal trading activities[1] - A total of 30 companies reported abnormal fluctuations on April 9, 2025, indicating potential market volatility[2] Trading Notifications - Gree Real Estate (证券代码: 600185) and other companies have recent trading notifications as of April 14, 2025[1] - Significant trading activities noted for companies like Zhongdali De (证券代码: 002896) and Huadong Heavy Machine (证券代码: 002685) on April 14, 2025[1]

Report Summary 1. Report Industry Investment Rating No industry investment rating is provided in the report. 2. Core View The report presents several ETF - based strategy indices and tracks their performance and holdings on a weekly basis. These indices aim to achieve excess returns relative to the market through different quantitative models and strategies [11]. 3. Summary by Directory 1. ETF Strategy Index Tracking - **Overall Performance**: The table shows the performance of various ETF strategy indices last week. For example, the Huabao Research Small - Large Cap Rotation ETF Strategy Index had a last - week index return of - 2.89%, a benchmark return of - 3.30%, and an excess return of 0.41% [12]. 1.1. Huabao Research Small - Large Cap Rotation ETF Strategy Index - **Strategy Principle**: It uses multi - dimensional technical indicator factors and a machine - learning model to predict the return difference between the Shenwan Large - Cap Index and the Shenwan Small - Cap Index. It outputs weekly signals to determine the next - week's index strength and decides on holdings accordingly [3][13]. - **Performance**: As of 2025/4/11, the excess return since 2024 was 16.02%, the excess return in the past month was 0.72%, and the excess return in the past week was 0.41%. Last week, the index return was - 2.89%, and the benchmark (CSI 800) return was - 3.30% [3][12][15]. - **Holdings**: As of 2025/4/11, it held 100% of the CSI 300 ETF [15]. 1.2. Huabao Research SmartBeta Enhanced ETF Strategy Index - **Strategy Principle**: It uses price - volume indicators to time self - built Barra factors and maps timing signals to ETFs based on their exposure to 9 major Barra factors, covering mainstream broad - based index ETFs and some style/strategy ETFs [3][15]. - **Performance**: As of 2025/4/11, the excess return since 2024 was 15.97%, the excess return in the past month was 2.40%, and the excess return in the past week was 0.09%. Last week, the index return was - 3.21%, and the benchmark (CSI 800) return was - 3.30% [3][12][15]. - **Holdings**: As of 2025/4/11, it held 58.94% of the Dividend Low - Volatility ETF, 21.11% of the CSI 300 ETF, and 19.95% of the Dividend Quality ETF [15]. 1.3. Huabao Research Quantitative Windmill ETF Strategy Index - **Strategy Principle**: It starts from a multi - factor perspective, including long - and medium - term fundamental analysis, short - term market trend tracking, and analysis of market participants' behavior. It uses valuation and crowding signals to indicate industry risks and multi - dimensionally digs out potential sectors [20]. - **Performance**: As of 2025/4/11, the excess return since 2024 was 0.97%, the excess return in the past month was - 1.10%, and the excess return in the past week was 1.40%. Last week, the index return was - 1.91%, and the benchmark (CSI 800) return was - 3.30% [20][23]. - **Holdings**: As of 2025/4/11, it held 21.93% of the Agriculture ETF, 20.10% of the Bank ETF, 20.06% of the Military Industry ETF, 19.15% of the Non - Ferrous Metals 60 ETF, and 18.76% of the Home Appliance ETF [24]. 1.4. Huabao Research Quantitative Balance Technique ETF Strategy Index - **Strategy Principle**: It uses a multi - factor system including economic fundamentals, liquidity, technical aspects, and investor behavior to build a quantitative timing system for equity market trend judgment. It also builds a prediction model for market small - large cap styles to adjust equity market positions [24]. - **Performance**: As of 2025/4/11, the excess return since 2024 was 2.46%, the excess return in the past month was 2.55%, and the excess return in the past week was 1.41%. Last week, the index return was - 1.46%, and the benchmark (CSI 300) return was - 2.87% [24][25][29]. - **Holdings**: As of 2025/4/11, it held 5.02% of the CSI 1000 ETF, 4.96% of the 500ETF Enhanced, 28.91% of the Enhanced 300 ETF, 25.60% of the Policy Financial Bond ETF, 25.24% of the Short - Term Financing ETF, and 10.26% of the 10 - Year Treasury Bond ETF [29]. 1.5. Huabao Research Hot - Spot Tracking ETF Strategy Index - **Strategy Principle**: It tracks and mines hot - spot index target products through strategies such as market sentiment analysis, industry event tracking, investor sentiment and professional views, policy and regulation changes, and historical deduction, and constructs an ETF portfolio to capture market hot - spots [30]. - **Performance**: As of 2025/4/11, the excess return in the past month was 2.69%, and the excess return in the past week was 1.47%. Last week, the index return was - 2.83%, and the benchmark (CSI All - Share Index) return was - 4.30% [30][34]. - **Holdings**: As of 2025/4/11, it held 4.34% of the Real Estate ETF, 26.06% of the Hong Kong Consumption ETF, 25.62% of the Soybean Meal ETF, 23.92% of the Hong Kong Dividend ETF, and 20.07% of the 5 - to 10 - Year Treasury Bond ETF [34]. 1.6. Huabao Research Bond ETF Duration Strategy Index - **Strategy Principle**: It uses bond market liquidity and price - volume indicators to select effective timing factors and predicts bond yields through machine - learning. When the expected yield is below a certain threshold, it reduces the long - duration positions in the bond investment portfolio [35]. - **Performance**: As of 2025/4/11, the excess return in the past month was 0.07%, and the excess return in the past week was - 0.16%. Last week, the index return was 0.19%, and the benchmark (ChinaBond Aggregate Index) return was 0.35% [35][39]. - **Holdings**: As of 2025/4/11, it held 49.92% of the Short - Term Financing ETF, 25.06% of the 10 - Year Treasury Bond ETF, 12.53% of the 5 - to 10 - Year Treasury Bond ETF, and 12.49% of the Policy Financial Bond ETF [39].