| 603477 | 巨星农牧 | 2852&orgId=9900035087&announcementTime=2025 | http://www.cninfo.com.cn/new/disclosure/detail?stockCode=603477&announcementId=122304 -04-10 | | --- | --- | --- | --- | | 603709 | 中源家居 | http://www.cninfo.com.cn/new/disclosure/detail?stockCode=603709&announcementId=122312 | | | | | 3632&orgId=9900033232&announcementTime=2025 | -04-18 | | 603688 | 石英股份 | http://www.cninfo.com.cn/new/disclosure/detail?stockCode=603688&announcementId=122304 | | | | | 2168&orgId=9900023189&announcementTime=2025 ...

Group 1 - The report outlines a grid trading strategy that focuses on profiting from price fluctuations rather than predicting market trends, making it suitable for volatile markets [3][14] - Characteristics of suitable grid trading targets include being exchange-traded, having stable long-term trends, low transaction costs, good liquidity, and high volatility, with equity ETFs being particularly appropriate [3][14] Group 2 - The report highlights the Innovation Drug ETF (159992.SZ), which is expected to benefit from increasing demand due to global aging and supportive government policies, with 48 new innovative drugs approved in 2024 [5][15] - The Chip ETF (159995.SZ) is projected to gain from high industry prosperity, domestic substitution, and policy incentives, with a significant investment fund of 344 billion RMB established to support semiconductor development [6][18] - The Tourism ETF (159766.SZ) is positioned to capitalize on the recovery of domestic and international tourism, supported by government measures to boost tourism consumption and a notable increase in travel activity during the Qingming holiday [7][20] - The A500 Index ETF (159351.SZ) aligns with China's strategy of self-sufficiency and innovation, focusing on key sectors like electronics and defense, with a current PE-TTM of 14.08, indicating valuation attractiveness [8][23] Group 3 - The report suggests that investors can enhance returns by diversifying their grid trading strategy across different ETFs with low correlation, such as combining broad-based and sector-specific ETFs [27] - A table of additional ETFs suitable for grid trading is provided, including various categories and investment scopes, indicating a broad range of options for investors [28][30]

Report Investment Rating No investment rating information is provided in the report. Core Viewpoints - A-shares rebounded after the tariff shock, but the continued rebound momentum weakened this week. The CSI All-Share Index rose slightly by 0.3%, while the CSI Active Equity Fund Index, representing fund performance, declined slightly by 0.23%. The Evergreen Low-Volatility Strategy continued to benefit from the volatile market, rising 0.87% this week and recording an excess return of 1.1% [3]. - The quantitative strategy allocation preference is: Evergreen Low-Volatility Strategy > Overseas Equity Strategy > Equity Fund Enhancement Strategy. The Evergreen Low-Volatility Strategy in A-shares is expected to have higher cost-effectiveness and is suitable for a defensive and offensive strategy. Overseas, the US stock market may be near a short-term bottom, and investors with low overseas positions can consider appropriate layout. In the long term, the US stock market is still optimistic [4]. - Among equity fund strategies, the Evergreen Low-Volatility Fund Strategy rose by 0.873% and recorded an excess return of 1.103%. The Equity Fund Enhancement Fund Strategy also rose, with a return of 0.345% and an excess return of 0.575%. The Cash Enhancement Fund Strategy achieved a return of 0.031%, better than the benchmark. The Overseas Equity Allocation Fund Strategy rebounded, recording a return of 3.463%. Global investment still has strong diversification value [5][6]. Summary by Directory 1. Toolized Fund Portfolio Performance Tracking - **1.1 Evergreen Low-Volatility Fund Portfolio**: It has maintained low volatility characteristics for a long time, with both portfolio volatility and maximum drawdown significantly better than the CSI Active Equity Fund Index. Since the strategy started on July 31, 2023, it has achieved significant excess returns, demonstrating both defensive and offensive capabilities [14]. - **1.2 Equity Fund Enhancement Fund Portfolio**: The strategy has been running for a short time, and its performance is similar 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, it has continuously outperformed the benchmark. Since the strategy started at the end of July 2023, the cumulative excess return has exceeded 0.29%, providing a reference for investors in cash management [18]. - **1.4 Overseas Equity Allocation Fund Portfolio**: Since July 31, 2023, in the context of the Fed's interest rate cut cycle and the drive of artificial intelligence on global technology stocks, it has accumulated a high level of excess returns. Global allocation can enhance the returns of equity portfolios [21]. 2. Toolized Fund Portfolio Construction Ideas - **2.1 Evergreen Low-Volatility Fund Portfolio**: The strategy aims to select funds with long-term stable returns from high-equity-position actively managed funds. By adding restrictions on fund valuation levels, it constructs an actively managed equity fund portfolio with low volatility characteristics from both the net value performance and position characteristics dimensions [26]. - **2.2 Equity Fund Enhancement Fund Portfolio**: The strategy aims to further meet the needs of equity fund investors with different risk preferences. It constructs a portfolio with a higher risk - volatility level and offensive capabilities by digging into fund managers with stronger Alpha - mining capabilities in actively managed equity funds [27]. - **2.3 Cash Enhancement Fund Portfolio**: Based on multi - dimensional characteristic factors of money market funds, it constructs a money market fund screening system to help investors optimize the returns of short - term idle funds and reduce return volatility risks [23][28]. - **2.4 Overseas Equity Allocation Fund Portfolio**: Based on overseas equity market indices, it constructs an overseas equity allocation fund portfolio by using long - term momentum and short - term reversal factors to select appropriate QDII funds, providing an auxiliary tool for investors to expand global investment [25][29].

| 新股发行及今日交易提示 | 2025/4/21 | 星期一 | | | | | | | --- | --- | --- | --- | --- | --- | --- | --- | | 2025/4/21 | 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 | | | https://www.cninfo.com.cn/new/disclosure/detail?stockCode=600705&announcementId=122315 | 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 | 6796&orgId=gssh0600705&announcementTime=2025 | -04-19 | 现金选择权 | | http://www.cninfo.com.cn/new/disclosure/detail?stockCode=601028&announcementId=122314 | 601028 | 玉龙股份 | 现金选择权申报期 | ：2025年4月17日至2025年4月23日 | 3645&or ...

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]