基金管理人在二季报中表示，报告期间，本基金保持红利投资的特征。从仓位上看，继续保持相对较高位置，行业分布上较为均衡，持仓个股较为分散，银 行、公用事业、非银等行业配置比例较高；从对组合贡献来看，公用事业、银行、非银正贡献较大，家电、轻工对组合有所拖累。从组合整体表现来看，相 对基准有所跑赢并取得正收益。随着无风险收益率的下行，红利类股票整体的股息率水平依然处于相对有吸引力阶段，后续仍有绝对收益空间。 AI基金海富通红利优选混合A（020695）披露2025年二季报，第二季度基金利润46.07万元，加权平均基金份额本期利润0.0764元。报告期内，基金净值增长 率为6.48%，截至二季度末，基金规模为1158.72万元。 该基金属于偏股混合型基金。截至7月21日，单位净值为1.293元。基金经理是江勇，目前管理7只基金近一年均为正收益。其中，截至7月21日，海富通红利 优选混合A近一年复权单位净值增长率最高，达29.93%；海富通悦享一年持有期混合A最低，为5.65%。 截至6月27日，基金成立以来夏普比率为1.392。 截至7月21日，基金成立以来最大回撤为8.29%。单季度最大回撤出现在2025年二季度，为 ...

Quantitative Models and Construction Methods - **Model Name**: Broad-based Index Rotation Strategy **Model Construction Idea**: The strategy is based on the weekly change rate of the "total heat" indicator for broad-based indices. It selects the index with the highest heat change rate for investment, while staying out of the market if the "Other" group has the highest rate[7][13][16] **Model Construction Process**: 1. Calculate the weekly heat change rate for each broad-based index (CSI 300, CSI 500, CSI 1000, CSI 2000, and "Other"). 2. Smooth the weekly change rate using a 2-period moving average (MA2). 3. On the last trading day of each week, invest in the index with the highest MA2 heat change rate. If the "Other" group has the highest rate, remain in cash. **Model Evaluation**: The strategy demonstrates a clear logic of capturing short-term market sentiment shifts based on heat changes[13][16] - **Model Name**: Concept Heat TOP and BOTTOM Portfolios **Model Construction Idea**: This model identifies the hottest concepts each week and constructs two portfolios based on the highest and lowest heat stocks within these concepts[30][32][34] **Model Construction Process**: 1. Select the top 5 concepts with the largest weekly heat change rates. 2. Exclude the bottom 20% of stocks in terms of market capitalization within the selected concepts. 3. Construct the "TOP" portfolio by equally weighting the top 10 stocks with the highest total heat within each concept. 4. Construct the "BOTTOM" portfolio by equally weighting the bottom 10 stocks with the lowest total heat within each concept. **Model Evaluation**: The model effectively captures behavioral biases in concept-driven markets, where low-heat stocks in hot concepts tend to generate excess returns over time[30][32][34] --- Model Backtesting Results - **Broad-based Index Rotation Strategy**: - Annualized Return: 8.74% - Maximum Drawdown: 23.5% - 2025 YTD Return: 14.7%[16] - **Concept Heat BOTTOM Portfolio**: - Annualized Return: 15.71% - Maximum Drawdown: 28.89% - 2025 YTD Return: 25.5%[34] --- Quantitative Factors and Construction Methods - **Factor Name**: Total Heat Indicator **Factor Construction Idea**: The factor aggregates the browsing, watchlist, and click counts of individual stocks, normalized as a percentage of the total market, and scaled by 10,000[7] **Factor Construction Process**: 1. Aggregate the browsing, watchlist, and click counts for each stock. 2. Normalize the aggregated value as a percentage of the total market. 3. Multiply the normalized value by 10,000 to obtain the total heat score. The range of the indicator is [0, 10,000][7] **Factor Evaluation**: The factor serves as a proxy for market sentiment and attention, effectively capturing behavioral patterns such as overpricing or underreaction at the stock level[7] --- Factor Backtesting Results - **Total Heat Indicator**: - No specific backtesting results provided for this factor in isolation

Core Viewpoint - The AI Fund Zhongyin New Opportunities Mixed A (002057) reported a profit of 10.82 thousand yuan for Q2 2025, with a weighted average profit per fund share of 0.0086 yuan, and a net asset value growth rate of 0.72% during the period [3][4]. Fund Performance - As of the end of Q2 2025, the fund's scale was 1,446.05 thousand yuan [15]. - The fund's unit net value as of July 21 was 1.201 yuan [3]. - The fund's performance over different time frames includes: - 3-month net value growth rate: 0.80%, ranking 130 out of 142 comparable funds [4]. - 6-month net value growth rate: 0.48%, ranking 130 out of 142 comparable funds [4]. - 1-year net value growth rate: 1.59%, ranking 139 out of 142 comparable funds [4]. - 3-year net value growth rate: 3.36%, ranking 96 out of 142 comparable funds [4]. Investment Strategy - The fund maintained a low equity position during Q2, focusing on sectors such as banking, public utilities, energy, and non-bank financials [4]. - The strategy included increasing exposure to the banking sector, particularly high-dividend and low-valuation banks, while slightly reducing holdings in the energy sector and lowering allocations in the operator and automotive sectors [4]. - Fixed income investments primarily included financial bonds and convertible bonds, with an increased duration to capitalize on bond market opportunities [4]. Risk Metrics - The fund's Sharpe ratio over the past three years was -0.3497, ranking 118 out of 142 comparable funds [9]. - The maximum drawdown over the past three years was 3.17%, with the largest single-quarter drawdown occurring in Q1 2020 at 4.64% [11]. Holdings - As of June 30, 2025, the fund's top ten holdings included: - Nanjing Bank - Industrial and Commercial Bank of China - Yangtze Power - Ping An Insurance - Shanghai Bank - China Construction Bank - Sinopec - Pudong Development Bank - China International Capital Corporation - Jiangsu Bank [19].

7月21日沪指上涨0.72%，市场两融余额为19179.18亿元，较前一交易日增加155.82亿元。 证券时报·数据宝统计显示，截至7月21日，沪市两融余额9689.11亿元，较前一交易日增加75.49亿元； 深市两融余额9429.27亿元，较前一交易日增加78.76亿元；北交所两融余额60.81亿元，较前一交易日增 加1.58亿元；深沪北两融余额合计19179.18亿元，较前一交易日增加155.82亿元。 分行业看，申万所属行业中，融资余额增加的行业有25个，增加金额最多的行业是医药生物，融资余额 增加18.33亿元；其次是机械设备、电子行业，融资余额分别增加17.15亿元、16.39亿元。 具体到个股来看，融资余额出现增长的股票有2131只，占比57.44%，其中，529股融资余额增幅超过5% 。融资余额增幅最大的是菲利华，该股最新融资余额7.54亿元，较前一交易日增幅达105.62%；股价表 现上，该股当日上涨10.79%，表现强于沪指；融资余额增幅较多的还有恒立钻具、C华新，融资余额增 幅分别为92.92%、74.99%。 融资余额增幅前20只个股中，从市场表现来看，平均上涨6.54%，涨幅居前的有恒 ...

Summary of Key Points from Conference Call Records Industry Overview - **Macro Environment**: The focus is shifting from actual growth to nominal growth, with an emphasis on "anti-involution" policies. Government investment is expected to effectively drive social investment, with significant projects like the Yarlung Tsangpo River hydropower project commencing, involving a total investment of 1.2 trillion yuan [3][18]. - **Non-Banking Sector**: Incremental capital is entering the market, with a strong recommendation for the non-banking sector, particularly brokerage firms and insurance companies, as they are expected to benefit from improved market conditions and regulatory support [6][7]. - **Electronics**: The penetration of DDR5 technology is accelerating, driven by the AI industry, with expectations for significant growth in AI PCB manufacturers due to rising demand for computing power [8]. - **Media**: The gaming industry remains optimistic despite recent adjustments, with opportunities in IP and advanced technology applications [9]. - **Food and Beverage**: The industry is entering a golden period for brand upgrades, particularly in the liquor sector, which is expected to recover from previous downturns [10]. - **Agriculture**: The price of yellow chickens may be nearing a bottom, while the pig farming sector is expected to stabilize under "anti-involution" policies [11]. - **Home Appliances**: The "trade-in" policy has significantly boosted domestic sales, with a reported 32% year-on-year increase in retail sales from January to June 2025 [12]. - **Textiles and Light Industry**: The textile manufacturing sector is recovering, with opportunities in high-performance materials and traditional clothing businesses [14]. - **Environmental Protection**: The exploration of RWA (Risk-Weighted Assets) in environmental assets is expected to enhance financing efficiency and optimize cash flow for companies in the sector [15]. - **New Energy**: Solid-state batteries are projected to achieve commercial application by 2027, with significant growth expected in the coming years [16][17]. - **Construction**: The construction sector is poised for growth with the launch of major projects and upcoming policies aimed at stabilizing the industry [19][21]. - **Coal**: Coal prices are on the rise due to favorable supply-demand dynamics, with expectations for continued price increases in the second half of the year [20]. - **Building Materials**: A growth plan for the building materials sector is anticipated, with the Yarlung Tsangpo River project expected to drive demand for related materials [21]. - **Metals**: The implementation of a new growth plan is expected to support metal prices, particularly in the aluminum and steel sectors [22]. - **Public Utilities**: New pricing policies in Gansu are expected to enhance profitability for power generation companies [23]. Core Insights and Arguments - **Investment Strategies**: The report suggests a three-pronged investment strategy focusing on economic cycle assets, growth sectors, and stable value assets, with a recommendation to increase exposure to sectors benefiting from long-term improvements [4][6]. - **Market Dynamics**: The report highlights the asymmetry between downside risks and upside potential in the current market environment, emphasizing the need for strategic asset allocation [4][5]. - **Sector-Specific Recommendations**: - Non-banking financials are recommended due to expected recovery in performance and valuation [6][7]. - The electronics sector is advised for investment due to the growth in AI-related technologies [8]. - The media sector is seen as a stable investment due to ongoing demand for gaming and IP products [9]. - The food and beverage sector is highlighted for its potential recovery and brand upgrades [10]. - The agriculture sector is recommended for its stabilization under new policies [11]. - Home appliances are expected to benefit from government policies and consumer demand [12]. Important but Potentially Overlooked Content - **Risk Factors**: The reports consistently mention various risk factors, including geopolitical tensions, regulatory changes, and economic uncertainties that could impact market performance across sectors [4][5][20][22]. - **Technological Advancements**: The rapid development of solid-state battery technology and its implications for the automotive and energy sectors are emphasized, indicating a significant shift in energy storage solutions [16][17]. - **Regulatory Environment**: The impact of government policies on various sectors, particularly in terms of investment and operational efficiency, is a recurring theme, suggesting that regulatory changes could significantly influence market dynamics [3][4][5][19][23].

Core Viewpoint - Major industry ETFs in the US stock market mostly rose, with the gold ETF increasing by over 1% [1] Group 1: ETF Performance - Gold ETF (SPDR Gold Shares) rose to 312.06, up by 3.67 (+1.19%) with a volume of 630,000 shares [1] - Utility ETF (Utilities Select Sector SPDR Fund) slightly increased to 83.76, up by 0.01 (+0.01%) with a volume of 650,700 shares [1] - Consumer Staples ETF (Consumer Staples Select Sector SPDR Fund) rose to 81.23, up by 0.34 (+0.42%) with a volume of 434,000 shares [1] - Healthcare ETF (Health Care Select Sector SPDR Fund) decreased to 131.69, down by 0.15 (-0.11%) with a volume of 467,200 shares [1] - Financials ETF (Financial Select Sector SPDR Fund) increased to 52.56, up by 0.02 (+0.04%) with a volume of 2,183,100 shares [1] - Regional Banks ETF (SPDR S&P Regional Banking ETF) rose to 63.45, up by 0.18 (+0.28%) with a volume of 359,600 shares [1] - Energy ETF (Energy Select Sector SPDR Fund) decreased to 85.88, down by 0.09 (-0.10%) with a volume of 942,100 shares [1] - Global Technology ETF (iShares Global Tech ETF) rose to 95.46, up by 0.29 (+0.31%) with a volume of 16,563 shares [1] - Technology ETF (Technology Select Sector SPDR Fund) increased to 261.47, up by 0.58 (+0.22%) with a volume of 258,600 shares [1]

7月21日，A股市场整体上涨。 截至收盘，上证指数收报3559.79点，上涨0.72%，深证成指收报11007.49点，上涨0.86%，创业板指收 报2296.88点，上涨0.87%，北证50指数上涨2.38%。A股市场合计成交17274.28亿元，较上一交易日增 加1339.22亿元。 1. A股市场全天主力资金净流出136.41亿元 今日A股市场主力资金开盘净流出52.22亿元，尾盘净流入15.76亿元，全天净流出136.41亿元。 | | | 沪深两市近五日主力资金流向情况(亿元) | | | | --- | --- | --- | --- | --- | | 日期 | | 净流入金额 开盘净流入 | | 尾盘净流入 超大单净买入 | | 2025-7-21 | -136.41 | -52. 22 | 15. 76 | -9.08 | | 2025-7-18 | -256. 41 | -65. 68 | -5.90 | -135.30 | | 2025-7-17 | 69.86 | -16. 82 | 13. 64 | 124. 01 | | 2025-7-16 | -134. 35 | -8.00 | ...

Group 1 - The average daily trading volume in the market was approximately 15,463 billion yuan, with micro liquidity showing differentiation [1] - Growth style outperformed value style, and small-cap stocks outperformed large-cap stocks [1] - The telecommunications, pharmaceutical, and automotive sectors performed well, while media, real estate, and public utilities lagged [1] Group 2 - The macroeconomic outlook indicates that the focus for the second half of the year will be on anti-involution policies, which aim to address significant price pressures [2] - The second quarter GDP growth was 5.2% year-on-year, slightly down from 5.4% in the first quarter, but still stable above 5% [1][2] - Domestic industrial product prices may gradually find support due to supply-side governance under the anti-involution policy [2] Group 3 - The current market is characterized by a trend of "support from the US economy + liquidity improvement + tech stock assistance" [3] - Short-term market movements are expected to be dominated by high-level fluctuations, with small-cap stocks continuing to reach new highs [4] - The market has broken through the 3,500 pressure level and is stabilizing, with a relatively balanced market style [5] Group 4 - Investment opportunities include low-level cyclical stocks and sectors benefiting from anti-involution policies, as well as the financial sector, which is seen as a stabilizing force [6] - Attention should also be given to sectors driven by technology, military, and innovative pharmaceuticals [6]

Market Performance - The Shanghai Composite Index rose by 0.69%, closing at 3534.48 points[1] - The Shenzhen Component Index increased by 2.04%, closing at 10913.84 points[1] - The ChiNext Index saw a growth of 3.17%, ending at 2277.15 points[1] Sector Performance - The top-performing sectors included Communication (7.56%), Pharmaceuticals (4.00%), and Automotive (3.28%) for the week[4] - The sectors with the largest declines were Media (-2.24%), Real Estate (-2.17%), and Utilities (-1.37%) for the week[4] Margin Trading - The total margin trading balance reached 19023.36 billion CNY, an increase of 1.41% from the previous week[5] - Margin trading accounted for 2.25% of the A-share market's circulating market value, up by 0.36%[5] - The weekly margin trading volume was 7465.05 billion CNY, increasing by 6.21% from the previous week[19] Industry Insights - The top five industries for net margin purchases were Electronics (29.37 billion CNY), Non-ferrous Metals (26.51 billion CNY), and Computers (26.22 billion CNY)[28] - The industries with the highest net margin sales included Food and Beverage (-5.50 billion CNY) and Textiles and Apparel (-2.09 billion CNY)[28]

Group 1 - The report suggests that for most investors, it is time to gradually take profits on ultra-long credit bonds due to declining odds of capital gains, limited arbitrage opportunities, and weak coupon protection [6][14][18] - The performance of ultra-long credit bonds has been primarily driven by the compression of liquidity premiums in June, but this trend is expected to be difficult to sustain moving forward [7][14] - The report indicates that the current coupon advantage of ultra-long credit bonds is not significant, and their ability to protect against interest rate fluctuations is lacking, leading to a low probability of success for short-term holdings [12][18] Group 2 - The weekly review of credit bonds shows that the issuance volume remained stable, with a slight increase in maturity amounts, resulting in a net inflow of 452 billion yuan, which is a decrease compared to previous weeks [20][22] - The average coupon rates for newly issued AAA and AA+ rated bonds were 1.99% and 2.24%, respectively, indicating a mixed trend in issuance costs [20][21] - The liquidity of credit bonds continues to weaken, with a decrease in turnover rate to 1.76%, reflecting a return to a relatively low level [23]