Market Performance - The recent five trading days saw the Sci-Tech 50 Index decline by 1.65%, the ChiNext Index by 0.74%, the large-cap value index by 1.27%, the large-cap growth index by 2.58%, the SSE 50 by 1.48%, and the CSI 2000 representing small caps by 0.19% [1] - The pharmaceutical and communication sectors performed well, while coal and non-ferrous metals lagged [1] Risk Premium Analysis - The risk premium, defined as the inverse of the static PE of the CSI All Index (EP) minus the yield of ten-year government bonds, indicates that the implied returns of equity and bond assets are at historically high levels, reaching 4.17% on April 26, 2022, and 4.08% on October 28, 2022 [1] - As of January 19, 2024, the indicator was at 4.11%, marking the fifth occurrence since 2016 of exceeding 4% [1] - The latest figure as of August 1, 2025, is 3.48%, with the two-standard-deviation boundary set at 4.76% [1] Valuation Levels - As of August 1, 2025, the CSI All Index's TTM PE is at the 64th percentile, with the SSE 50 and CSI 300 at 66% and 58% respectively, while the ChiNext Index is close to 25% [2] - The CSI 500 and CSI 1000 are at 46% and 37% respectively, indicating that the ChiNext Index's valuation is relatively low compared to historical levels [2] Long-term Market Trends - The technical analysis of the Deep 100 Index shows a pattern of bear markets every three years, followed by bull markets, with previous declines ranging from 40% to 45% [2] - The current adjustment cycle began in the first quarter of 2021, suggesting a potential for upward movement from the bottom [2] Fund Flow and Trading Activity - In the last five trading days, ETF funds experienced an outflow of 13.1 billion yuan, while margin financing increased by approximately 42.6 billion yuan [2] - The average daily trading volume across both markets was 1.7848 trillion yuan [2] AI and Machine Learning Applications - A convolutional neural network (CNN) was utilized to model price and volume data, mapping learned features to industry themes, with a focus on semiconductor materials [2][7] ETF Indexes - Various ETF indexes related to semiconductor materials and innovation were listed, including the SSE Sci-Tech Semiconductor Materials Equipment Theme Index and the CSI Semiconductor Industry Index, all dated August 1, 2025 [8]

Market Performance - The Sci-Tech 50 Index increased by 0.98% over the last five trading days, while the ChiNext Index rose by 2.36%. The large-cap value index fell by 0.18%, and the large-cap growth index increased by 0.69%. The Shanghai 50 Index gained 0.60%, and the small-cap index represented by the CSI 2000 rose by 2.29%. Real estate and steel sectors performed well, while coal and banking sectors lagged behind [1]. Risk Premium Analysis - The static PE of the CSI All Index minus the yield of 10-year government bonds indicates a risk premium. Historical extreme bottoms have shown this data to be at two standard deviations above the mean, with notable instances in 2012, 2018, and 2020. As of January 19, 2024, the indicator was at 4.11%, marking the fifth occurrence since 2016 to exceed 4%. As of July 11, 2025, the indicator was at 3.57%, with the two standard deviation boundary at 4.76% [1]. Valuation Levels - As of July 11, 2025, the CSI All Index's PE TTM percentile was at 63%. The Shanghai 50 and CSI 300 were at 68% and 61%, respectively. The ChiNext Index was close to 21%, while the CSI 500 and CSI 1000 were at 42% and 31%. The ChiNext Index's valuation is relatively low compared to historical averages [2]. Long-term Market Trends - The Shenzhen 100 Index has experienced bear markets approximately every three years, followed by bull markets. The last adjustment began in Q1 2021, showing sufficient time and space for a potential upward cycle from the bottom [2]. Fund Flow and Trading Activity - In the last five trading days, ETF inflows totaled 3 billion yuan, and margin trading increased by approximately 14.1 billion yuan. The average daily trading volume across both markets was 1.4748 trillion yuan [2]. Neural Network Analysis - A convolutional neural network (CNN) was utilized to model price and volume data, mapping learned features to industry themes. The latest focus is on sectors such as banking [9].

Core Viewpoint - The recent market performance shows mixed results across various indices, with the ChiNext Index rising while the STAR 50 Index slightly declined, indicating a divergence in sector performance and potential investment opportunities in specific areas [1][2]. Group 1: Market Performance - Over the last five trading days, the STAR 50 Index decreased by 0.35%, while the ChiNext Index increased by 1.50%. The large-cap value stocks rose by 1.94%, and large-cap growth stocks increased by 1.78%. The Shanghai 50 Index saw a rise of 1.21%, and the small-cap stocks represented by the CSI 2000 increased by 0.53% [1]. - Steel and building materials sectors performed well, while the computer and non-bank financial sectors lagged behind [1]. Group 2: Risk Premium and Valuation Levels - The risk premium, measured as the inverse of the static PE of the CSI All Index minus the yield of 10-year government bonds, reached 4.17% on April 26, 2022, and 4.08% on October 28, 2022, indicating a market rebound potential. As of January 19, 2024, the indicator was at 4.11%, marking the fifth occurrence since 2016 of exceeding 4% [1]. - As of July 4, 2025, the CSI All Index's PE TTM percentile was at 61%, with the Shanghai 50 and CSI 300 at 67% and 60%, respectively. The ChiNext Index is close to 20%, indicating a relatively low valuation level compared to historical averages [2]. Group 3: Fund Flow and Trading Activity - In the last five trading days, ETF funds experienced an outflow of 21.2 billion yuan, while margin financing increased by approximately 19.7 billion yuan. The average daily trading volume across the two markets was 1.4136 trillion yuan [4]. Group 4: Technical Analysis and AI Modeling - The long-term technical analysis of the Deep 100 Index suggests a cyclical pattern of bear and bull markets every three years, with significant declines observed in previous cycles. The current adjustment phase, which began in the first quarter of 2021, appears to have sufficient time and space for a potential upward cycle [2]. - A convolutional neural network model has been developed to analyze price and volume data, mapping learned features to industry themes, with a focus on banking and non-ferrous metals sectors [3][9].

Market Performance - The Sci-Tech 50 Index decreased by 1.10% over the last five trading days, while the ChiNext Index increased by 1.38%. The large-cap value and growth indices rose by 1.45% and 1.60%, respectively. The Shanghai 50 Index rose by 1.22%, and the small-cap index represented by the CSI 2000 increased by 0.16%. The beauty and personal care sector, along with non-bank financials, performed well, while the computer and defense industries lagged behind [1]. Risk Premium Analysis - The static PE of the CSI All Index minus the yield of 10-year government bonds indicates a risk premium. Historical extreme bottoms have shown this data at two standard deviations above the mean, with notable instances in 2012, 2018, and 2020. As of April 26, 2022, the risk premium reached 4.17%, and on October 28, 2022, it was 4.08%. The latest reading on January 19, 2024, was 4.11%, marking the fifth instance since 2016 exceeding 4%. As of May 16, 2025, the indicator was at 3.86%, with the two standard deviation boundary at 4.76% [1]. Valuation Levels - As of May 16, 2025, the CSI All Index's PETTM percentile is at 52%. The Shanghai 50 and CSI 300 indices are at 62% and 50%, respectively, while the ChiNext Index is close to 11%. The CSI 500 and CSI 1000 indices are at 31% and 33%, indicating that the ChiNext Index's valuation is relatively low compared to historical levels [2]. Long-term Market Trends - The technical analysis of the Deep 100 Index shows a pattern of bear markets occurring every three years, followed by bull markets. The last bear market began in Q1 2021, with previous declines ranging from 40% to 45%. The current adjustment appears to have sufficient time and space, suggesting a potential upward cycle from the bottom [2]. Fund Flow and Trading Activity - In the last five trading days, ETF funds experienced an outflow of 34.1 billion yuan, while margin financing decreased by approximately 600 million yuan. The average daily trading volume across the two markets was 1.2317 trillion yuan [3]. AI and Machine Learning Applications - The report discusses the use of convolutional neural networks (CNN) to model price and volume data, aiming to predict future prices. The learned features are mapped to industry themes, with a current focus on banking [6].

Market Performance - The recent 5 trading days saw the Sci-Tech 50 Index increase by 0.24%, the ChiNext Index rise by 4.13%, large-cap value stocks up by 1.55%, large-cap growth stocks up by 2.05%, the SSE 50 Index up by 1.46%, and the small-cap represented by the CSI 2000 up by 3.77% [1] - The defense and military industry, as well as the communication sector, performed well, while steel and retail sectors lagged behind [1] Risk Premium Analysis - The static PE of the CSI All Index minus the yield of 10-year government bonds indicates a risk premium, which has historically reached extreme levels at two standard deviations above the mean during significant market bottoms, such as in 2012, 2018, and 2020 [1] - As of April 26, 2022, the risk premium reached 4.17%, and on October 28, 2022, it was 4.08%, with a recent reading of 4.11% on January 19, 2024, marking the fifth occurrence since 2016 of exceeding 4% [1] Valuation Levels - As of May 9, 2025, the CSI All Index's PETTM is at the 50th percentile, with the SSE 50 and CSI 300 at 61% and 47% respectively, while the ChiNext Index is close to 11% [2] - The ChiNext Index's valuation is relatively low compared to historical averages [2] Long-term Market Trends - The technical analysis of the Deep 100 Index indicates a pattern of bear markets every three years followed by bull markets, with previous declines ranging from 40% to 45% [2] - The current adjustment cycle began in Q1 2021, suggesting a potential for upward movement from the bottom [2] Fund Flow and Trading Activity - In the last 5 trading days, ETF funds saw an outflow of 17.9 billion yuan, while margin trading increased by approximately 4.4 billion yuan [2] - The average daily trading volume across both markets was 1.2918 trillion yuan [2] AI and Machine Learning Insights - A convolutional neural network (CNN) was utilized to model price and volume data, mapping learned features to industry themes, with a current focus on banking [2][7] Market Sentiment - The proportion of stocks above the 200-day moving average is being tracked to gauge market sentiment [9] Equity and Bond Risk Preference - Ongoing monitoring of risk preferences between equity and bond assets is being conducted [11]

广发证券首席金工分析师 安宁宁 SAC: S0260512020003 anningning@gf.com.cn 广发证券资深金工分析师 张钰东 SAC: S0260522070006 zhangyudong@gf.com.cn 广发金工安宁宁陈原文团队 摘要 最近5个交易日，科创50指数跌0.40%，创业板指涨1.74%，大盘价值跌0.30%，大盘成长涨0.89%，上证50跌0.33%，国证2000代表的小盘涨2.38%，汽车、 美容护理市场表现靠前，食品饮料、房地产表现靠后。 风险溢价，中证全指静态PE的倒数EP减去十年期国债收益率，权益与债券资产隐含收益率对比，历史数次极端底部该数据均处在均值上两倍标准差区 域，比如2012/2018/2020年（疫情突发），2022/04/26达到4.17%，2022/10/28风险溢价再次上升到4.08%，市场迅速反弹，2024/01/19指标4.11%，自2016年 以来第五次超过4%。截至2025/04/25指标3.99%，两倍标准差边界为4.75%。 估值水平，截至2025/04/25，中证全指PETTM分位数48%，上证50与沪深300分别为60%、46%， ...

Market Performance - The recent 5 trading days saw the Sci-Tech 50 Index decline by 0.31%, the ChiNext Index by 0.64%, while large-cap value stocks rose by 2.62% and large-cap growth stocks fell by 0.24% [1] - The banking and real estate sectors performed well, while defense, military, agriculture, forestry, animal husbandry, and fishery sectors lagged behind [1] Risk Premium Analysis - The risk premium, measured as the inverse of the static PE of the CSI All Share Index minus the yield of 10-year government bonds, has reached historical extremes, with values exceeding 4% on multiple occasions since 2016 [1] - As of April 18, 2025, the risk premium stood at 4.05%, with the two-standard deviation boundary at 4.74% [1] Valuation Levels - As of April 18, 2025, the CSI All Share Index's TTM PE percentile is at 47%, with the SSE 50 and CSI 300 at 60% and 45% respectively, indicating that the ChiNext Index is relatively undervalued at close to 9% [2] - The long-term view of the Deep 100 Index suggests a cyclical pattern of bear and bull markets every three years, with the current adjustment phase starting in Q1 2021 showing sufficient time and space for a potential upward cycle [2] Fund Flow and Trading Activity - In the last 5 trading days, ETF inflows totaled 24.3 billion yuan, while margin trading decreased by approximately 3.4 billion yuan, with an average daily trading volume of 1,076.1 billion yuan across the two markets [3] AI and Data Analysis - The use of convolutional neural networks to model price and volume data has been explored, with features mapped to industry themes, indicating a focus on sectors such as banking and securities as of April 18, 2025 [2][8]

广发证券首席金工分析师 安宁宁 SAC: S0260512020003 anningning@gf.com.cn 广发证券资深金工分析师 张钰东 SAC: S0260522070006 zhangyudong@gf.com.cn 广发金工安宁宁陈原文团队 摘要 最近5个交易日，科创50指数跌0.31%，创业板指跌0.64%，大盘价值涨2.62%，大盘成长跌0.24%，上证50涨1.45%，国证2000代表的小盘涨0.05%，银行、 房地产市场表现靠前，国防军工、农林牧渔表现靠后。 风险溢价，中证全指静态PE的倒数EP减去十年期国债收益率，权益与债券资产隐含收益率对比，历史数次极端底部该数据均处在均值上两倍标准差区 域，比如2012/2018/2020年（疫情突发），2022/04/26达到4.17%，2022/10/28风险溢价再次上升到4.08%，市场迅速反弹，2024/01/19指标4.11%，自2016年 以来第五次超过4%。截至2025/04/18指标4.05%，两倍标准差边界为4.74%。 估值水平，截至2025/04/18，中证全指PETTM分位数47%，上证50与沪深300分别为60%、45%， ...

广发证券首席金工分析师 安宁宁 SAC: S0260512020003 anningning@gf.com.cn 广发证券资深金工分析师 张钰东 SAC: S0260522070006 广发金工安宁宁陈原文团队 摘要 最近5个交易日，科创50指数跌0.63%，创业板指跌6.73%，大盘价值跌2.61%，大盘成长跌3.37%，上证50跌1.60%，国证2000代表的小盘跌6.29%，农林牧 渔、商贸零售市场表现靠前，电力设备、通信表现靠后。 风险溢价，中证全指静态PE的倒数EP减去十年期国债收益率，权益与债券资产隐含收益率对比，历史数次极端底部该数据均处在均值上两倍标准差区 域，比如2012/2018/2020年（疫情突发），2022/04/26达到4.17%，2022/10/28风险溢价再次上升到4.08%，市场迅速反弹，2024/01/19指标4.11%，自2016年 以来第五次超过4%。截至2025/04/11指标4.09%，两倍标准差边界为4.73%。 估值水平，截至2025/04/11，中证全指PETTM分位数45%，上证50与沪深300分别为56%、43%，创业板指接近9%，中证500与中证1000 ...

Market Performance - The recent five trading days saw the Sci-Tech 50 Index decline by 0.63%, the ChiNext Index drop by 6.73%, and the large-cap value index decrease by 2.61% [1] - The agricultural, forestry, animal husbandry, and fishery sectors, along with retail trade, performed well, while the power equipment and telecommunications sectors lagged behind [1] Risk Premium Analysis - The risk premium, measured as the inverse of the static PE of the CSI All Share Index minus the yield of ten-year government bonds, indicates that the implied returns of equity and bond assets are at historically high levels, reaching 4.17% on April 26, 2022, and 4.11% on January 19, 2024 [1] - As of April 11, 2025, the risk premium stands at 4.09%, with the two-standard deviation boundary at 4.73% [1] Valuation Levels - As of April 11, 2025, the CSI All Share Index's PE TTM percentile is at 45%, with the SSE 50 and CSI 300 at 56% and 43% respectively, indicating that the ChiNext Index is at a relatively low valuation compared to historical levels [2] - The long-term view of the Deep 100 Index suggests a cyclical pattern of bear and bull markets every three years, with the current adjustment phase starting in Q1 2021 showing sufficient time and space for a potential upward cycle [2] Fund Flow and Trading Activity - In the last five trading days, ETF inflows totaled 206.9 billion yuan, while margin financing decreased by approximately 98.3 billion yuan, with an average daily trading volume of 1.5742 trillion yuan [3] AI and Machine Learning Insights - The use of convolutional neural networks (CNN) for modeling price and volume data has been explored, with features mapped to industry themes, indicating a focus on sectors like securities as of April 11, 2025 [7][2]