- The report provides an overview of the major asset markets, including equities, bonds, commodities, and foreign exchange[5][10][11][33][40] - The report highlights the performance of various indices in the A-share market, such as the Shanghai Composite Index, Shenzhen Component Index, and others, with specific percentage changes for each[10][12][13] - The report also details the performance of different sectors within the A-share market, noting significant gains in sectors like military, non-ferrous metals, and machinery, and declines in sectors like pharmaceuticals, computers, and retail[10][15] - The report includes information on the performance of the Hong Kong stock market, with specific indices and their percentage changes, as well as sector performance within the Hong Kong market[11][18][20][22] - The report covers the performance of the US stock market, including indices like the Dow Jones Industrial Average, Nasdaq, and S&P 500, along with other international indices[11][26][27] - The report provides details on the bond market, including changes in yields for various government and corporate bonds, as well as credit spreads and term spreads[28][29][30][31] - The report discusses the performance of the commodity market, listing the percentage changes for various commodities such as crude oil, gold, copper, and others[33][34][35][36][38] - The report includes information on the foreign exchange market, detailing the exchange rates of various currencies against the RMB and their percentage changes[40][42] - The report provides an overview of the fund market, including the number of newly established funds, their types, and their sizes[43][44] - The report details the overall performance of different types of funds, including equity funds, balanced funds, fixed income funds, FOFs, commodity funds, and QDII funds, with specific percentage returns for each category over different time periods[49][50][51] - The report lists the top-performing funds over the past week, month, year, and year-to-date, along with their specific returns and other details[52] - The report also lists the worst-performing funds over the same periods, with specific returns and other details[53]

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - This week, the A - share market showed a pattern of widespread index gains coexisting with capital differentiation. The Shanghai Composite Index regained the 3600 - point mark, verifying its medium - term resilience. Structurally, there was a "seesaw" effect between the cyclical manufacturing and consumer technology sectors, with small - cap and value styles performing prominently. The continuous upward movement of active equity fund positions and the continuous net outflow of broad - based ETFs may indicate the brewing of a new round of structural market [5][14]. 3. Summaries Based on Related Catalogs 3.1 This Week's Market Review - The A - share market presented a situation where index gains and capital differentiation coexisted. The Shanghai Composite Index recovered the 3600 - point mark. Structurally, there was a "seesaw" effect between cyclical manufacturing and consumer technology sectors, with small - cap and value styles standing out. Active equity fund positions have been rising for 3 consecutive weeks since the low point in mid - July, while broad - based ETFs have had a net outflow for 7 consecutive weeks, with a cumulative net outflow of over 130 billion yuan, suggesting a shift of passive funds from broad - based indexes to thematic opportunities such as cyclical manufacturing and TMT [5][14]. - Major broad - based indexes showed differentiated gains, with small - cap and value styles performing relatively well. As of August 8, 2025, the Shanghai Composite Index closed at 3635.13 points, up about 2.11% for the week; the Shenzhen Component Index closed at 11128.67 points, up about 1.25%; the ChiNext Index closed at 2333.96 points, up about 0.49%; and the CSI 300 closed at 4104.97 points, up about 1.23% [15]. - The A - share market showed obvious structural differentiation. Cyclical and high - end manufacturing sectors became the core mainlines, while consumer and technology sectors underperformed. Industries with top weekly gains included non - ferrous metals, machinery, national defense and military industry, textile and apparel, and coal, with yields of 5.84%, 5.75%, 5.24%, 3.99%, and 3.75% respectively; industries with bottom - ranked weekly gains included medicine, consumer services, computer, commercial retail, and comprehensive finance, with yields of - 0.79%, - 0.01%, 0.03%, 0.17%, and 0.25% respectively [17]. 3.2 Public Funds - The latest position of active equity funds is 87.19%, rising for 3 consecutive weeks. The average net value increase and decrease of active partial - stock funds this week was 1.53%. Among the 4474 funds, 3747 rose, accounting for 83.75%. The top five funds in terms of net value performance were China Ocean Charm Yangtze River Delta Flexible Allocation Mix, Yongying New Energy Smart Selection Mix A, Tongtai Competitive Advantage Mix A, Great Wall Emerging Industries Flexible Allocation Mix A, and Hongyi Yuanfang Selection Mix A, with weekly net value increases and decreases of 10.80%, 10.15%, 10.06%, 9.53%, and 9.43% respectively [5][20]. - As of August 8, 2025, the average position of active equity funds was about 87.19%. Among them, the average position of ordinary stock - type funds was about 90.55% (up 0.21 pct from last week), the average position of partial - stock hybrid funds was about 87.03% (up 0.19 pct from last week), the average position of allocation - type funds was about 85.62% (up 0.41 pct from last week), and the average position of "fixed - income +" funds was about 22.94%, down 0.10 pct from last week [2][22]. - Since April, the style positions of active equity funds have continuously shifted from growth to value, showing a trend of returning to the benchmark. Recently, the style preference of active equity products has been relatively stable, with the proportion of growth slightly declining from the high level. As of August 8, 2025, the large - cap growth position of active partial - stock funds was 27.33% (up 2.26 pct from last week), the large - cap value position was 10.09% (up 0.81 pct from last week), the mid - cap growth position was 9.88% (down 0.69 pct from last week), the mid - cap value position was 5.65% (down 0.21 pct from last week), the small - cap growth position was 41.94% (down 2.41 pct from last week), and the small - cap value position was 5.11% (up 0.24 pct from last week) [3][30]. - From the perspective of the weighted average of stock - holding market value, the industries with relatively large increases in the allocation ratio of active equity funds this week were non - bank finance (about 2.56%, up 0.32 pct from last week), national defense and military industry (about 5.56%, up 0.30 pct from last week), machinery (about 5.02%, up 0.20 pct from last week), banks (about 4.00%, up 0.16 pct from last week), and coal (about 0.93%, up 0.13 pct from last week). The industries with relatively large decreases in the allocation ratio were medicine (about 12.15%, down 0.39 pct from last week), electronics (about 16.53%, down 0.25 pct from last week), building materials (about 0.94%, down 0.18 pct from last week), real estate (about 0.80%, down 0.17 pct from last week), and consumer services (about 0.77%, down 0.16 pct from last week) [4][34]. - This week, domestic stock index ETFs had a net outflow of about 4.707 billion yuan, with a total scale of 312.5164 billion yuan; overseas index ETFs had a net inflow of about 11.801 billion yuan, with a total scale of 66.9345 billion yuan; bond index ETFs had a net inflow of about 8.979 billion yuan, with a total scale of 52.8535 billion yuan; commodity index ETFs had a net outflow of about 2.71 billion yuan, with a total scale of 15.6806 billion yuan. In terms of broad - based ETFs, the net outflow of funds this week was about 9.604 billion yuan, with a total scale of 222.5223 billion yuan [42]. - This week, 34 new domestic funds were established, including 7 active equity funds. The total newly - issued share of active equity funds was about 3.042 billion shares, at the 88.4% quantile in the past 1 year. In 2024, 269 active equity funds were newly issued, with a total scale of about 72.026 billion shares, about 52% of the same - period level in 2023; 285 passive equity funds were newly issued, with a total scale of about 142.014 billion yuan, far exceeding the same - period level in 2023. Since this year, 161 active equity funds have been newly issued, with a total scale of about 65.494 billion yuan, exceeding the same - period level last year; 349 passive equity funds have been newly issued, with a total scale of 180.839 billion yuan, far exceeding the historical same - period levels [47]. 3.3 Main/Active Capital Flows - This week, the net purchase amount of small orders increased day by day, and the outflow of main funds decreased marginally. Main funds flowed into non - ferrous metals and flowed out of medicine and computers. In terms of individual stocks, main funds flowed into and small and medium - sized orders flowed out of stocks such as Han's Laser, Chutian Technology, Ningbo Yun Sheng, Huayin Power, and Borui Medicine; main funds flowed out of and small and medium - sized orders flowed into stocks such as Zhongji Innolight, Jianghuai Automobile, Tibet Tianlu, Hikvision, and Xinyisheng. In terms of industries, main funds flowed into and small and medium - sized orders flowed out of industries such as non - ferrous metals, banks, household appliances, and building materials; main funds flowed out of and small and medium - sized orders flowed into industries such as medicine, computers, electronics, media, and basic chemicals [6][56]. - The net main - buying amount this week was about - 132.942 billion yuan. Active funds flowed into machinery and non - ferrous metals. In terms of individual stocks, active funds were more optimistic about stocks such as Zijin Mining, Sungrow Power Supply, Lanqi Technology, Agricultural Bank of China, and CSSC; stocks such as CATL, Great Wall Military Industry, Shanhe Intelligence, Jianghuai Automobile, and BYD were net - sold by active funds. In terms of industries, the industries with the highest net main - buying amounts were machinery, non - ferrous metals, banks, coal, and transportation; the industries with relatively large outflows were medicine, computers, electronics, media, and basic chemicals [6][56].

- The report defines the market environment using the distance between the long-term (120-day) and short-term (20-day) moving averages of the WIND All A index, which continues to expand, indicating an upward trend [2][9][10] - The industry allocation model recommends sectors such as innovative drugs in Hong Kong and securities for mid-term allocation, while the TWO BETA model continues to recommend the technology sector, focusing on military and computing power [2][3][10] - The current PE ratio of the WIND All A index is around the 70th percentile, indicating a moderate level, while the PB ratio is around the 30th percentile, indicating a relatively low level [3][10][15] Model and Factor Construction 1. **Model Name: Industry Allocation Model** - **Construction Idea**: Recommends sectors based on mid-term market trends - **Construction Process**: Utilizes historical data and market trends to identify sectors with potential for reversal and growth, such as innovative drugs and securities in the Hong Kong market - **Evaluation**: Effective in identifying sectors with potential for mid-term growth [2][3][10] 2. **Model Name: TWO BETA Model** - **Construction Idea**: Focuses on sectors with high beta values, indicating higher volatility and potential returns - **Construction Process**: Analyzes sectors with high beta values, recommending technology, military, and computing power sectors - **Evaluation**: Continues to recommend high-growth sectors, showing consistency in sector selection [2][3][10] Model Backtesting Results 1. **Industry Allocation Model** - **PE Ratio**: 70th percentile [3][10][15] - **PB Ratio**: 30th percentile [3][10][15] - **Moving Average Distance**: 6.92% [2][9][10] - **Profitability Effect**: 2.30% [2][9][10] 2. **TWO BETA Model** - **PE Ratio**: 70th percentile [3][10][15] - **PB Ratio**: 30th percentile [3][10][15] - **Moving Average Distance**: 6.92% [2][9][10] - **Profitability Effect**: 2.30% [2][9][10]

- The report discusses the "Volume Timing Signal" model, which indicates a cautious outlook for all major indices as of August 8, 2025[22][23] - The "HS300 Upward Stock Proportion Sentiment Indicator" is introduced, calculated as the proportion of HS300 constituent stocks with positive returns over the past N days. This indicator is currently above 80%, signaling high market sentiment[23][25] - The "Momentum Sentiment Indicator" is explained, using two smoothed lines (fast and slow) with different windows (N1=50, N2=35). When the fast line exceeds the slow line, it signals a bullish market view. As of August 8, 2025, the fast line is above the slow line, maintaining a positive outlook[26][28] - The "Moving Average Sentiment Indicator" is based on the number of HS300 closing prices above eight moving averages (parameters: 8, 13, 21, 34, 55, 89, 144, 233). If the count exceeds 5, it indicates a bullish view. As of August 8, 2025, the HS300 index is in a positive sentiment zone[32][36] - Cross-sectional volatility analysis shows a week-on-week decline in HS300, CSI500, and CSI1000 indices, indicating a weaker short-term alpha environment. Over the past quarter, cross-sectional volatility for these indices is at mid-to-lower levels compared to the past six months[37][40] - Time-series volatility analysis also shows a week-on-week decline for HS300, CSI500, and CSI1000 indices, with the past quarter's volatility at mid-to-lower levels compared to the past six months, suggesting a weaker alpha environment[40][42]

Core Viewpoint - The implementation of the "reciprocal tariffs" by the United States has led to significant dissatisfaction in Europe, particularly affecting exporters like those in Portugal [1][3] Group 1: Impact on European Exporters - The unilateral nature of the U.S. tariffs is seen as asymmetric and poses serious challenges for European exporters, including those from Portugal [1] - Portuguese automotive and machinery producers will face additional costs when entering the U.S. market, increasing their operational burdens [3] Group 2: Statistical Evidence - Portugal's exports to the U.S. saw a dramatic decline of 39.4% year-on-year in June, dropping from €55.7 million in June 2024 to €33.8 million [3] - In the second quarter, exports to the U.S. decreased by 13.9% year-on-year, falling from €141.9 million to €122.1 million [3] Group 3: Broader Trade Implications - The protectionist measures from the U.S. contradict the direction of global multilateral trade system development, which should be based on balanced interdependence and openness [3] - Portugal advocates for a more equitable and clearly defined international trade system as a proponent of multilateralism [3]

Group 1 - The trade war between the US and China, initiated in 2018, has escalated significantly, particularly after Trump's second term began in 2025, with tariffs on Chinese goods reaching as high as 104% [2][3] - The US aimed to reduce trade deficits and bring manufacturing back to the US, but the high tariffs have led to increased costs for American consumers and businesses [2][4] - China's response has been pragmatic, diversifying its export markets and achieving a trade surplus of $586 billion in the first half of the year [3][5] Group 2 - The International Monetary Fund raised China's 2025 economic growth forecast to 4.8%, while the US GDP growth was only 2.0% in the same period, indicating a stark contrast in economic performance [3][4] - Trump's tariffs have not only failed to balance trade but have also led to rising costs for US companies, prompting layoffs and inflationary pressures [4][7] - The global trade landscape is shifting as countries seek to reduce dependence on the US market, with increased cooperation among Asian and European economies [7][11] Group 3 - The trade war has been characterized by a series of tariff increases, with the latest round affecting 69 trade partners, leading to widespread price increases in the US [4][9] - Analysts suggest that the trade war has ultimately benefited China, as it has successfully opened new markets and maintained economic growth, while the US faces increasing internal dissent regarding the long-term impacts of the tariffs [5][9] - The narrative surrounding the trade war has shifted, with many now viewing it as a self-defeating strategy for the US, as evidenced by rising consumer prices and economic stagnation [9][11]

Group 1 - The Algerian oil and gas industry, a key pillar of the economy, experienced a year-on-year production decline of 3.3% in the first quarter of 2025 [1] - The production of liquefied natural gas, a critical product for Algeria's oil and gas sector, saw a significant drop of 17.5% in the first quarter of 2025 [1] - The refined oil production, after showing growth in the first and third quarters of 2024, began to decline by 2.2% in the first quarter of 2025 [1] Group 2 - Other industrial sectors also faced challenges, with mining and quarrying production decreasing by 3.7% in the first quarter of 2025 after a growth trend in 2023 and 2024 [1] - The steel, metals, machinery, electrical, and electronics industries experienced a dramatic overall decline of 41.7% in the first quarter of 2025, following a 25.1% increase in the fourth quarter of 2024 [1] - The chemical, food, and textile industries reported declines of 11.3%, 10.2%, and 4.9% respectively [1] Group 3 - Despite the overall industrial production downturn, the building materials sector showed a slight growth of 1.5% [1] - The wood and leather industries experienced significant growth, with increases of 19.6% and 13.1% respectively [1]

Core Viewpoint - The recent "reciprocal tariffs" implemented by the United States are concerning, significantly impacting European exporters, including those from Portugal, and are characterized by clear asymmetry as a unilateral action by the U.S. [1] Group 1: Impact on Exports - Portugal's exports to the U.S. in June fell by 39.4% year-on-year, decreasing from €557 million in 2024 to €338 million [1] - In the second quarter, Portugal's exports to the U.S. decreased by 13.9% year-on-year, from €1.419 billion to €1.221 billion [1] Group 2: Industry Concerns - Portuguese producers in the automotive and machinery sectors will face increased costs to access the U.S. market due to the U.S. tariff policy [1] - The U.S. tariff policy represents a significant blow to the strategic autonomy of Europe and the image of transatlantic trade policy [1] Group 3: Advocacy for Multilateralism - Portugal advocates for a more equitable international trade system based on clear rules, emphasizing the need for balanced interdependence, economic sustainability, and openness [1] - The U.S. approach is seen as contrary to the global development direction, which should be rooted in multilateral cooperation rather than protectionism [1]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: This model tracks the distance of stock prices or indices from their 250-day high to identify market trends and hotspots. It is based on the momentum and trend-following strategy, which has been proven effective in various studies[11][19]. - **Model Construction Process**: The 250-day new high distance is calculated using the formula: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ ts\_max(Close, 250) $ is the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value representing the percentage drop[11]. - **Model Evaluation**: This model effectively identifies stocks or indices with strong momentum and highlights market leaders during upward trends[11][19]. 2. Model Name: Stable New High Stock Screening Model - **Model Construction Idea**: This model focuses on identifying stocks that exhibit stable momentum characteristics, such as smooth price paths and consistent new highs, which are less likely to be influenced by extreme short-term fluctuations[25]. - **Model Construction Process**: The screening process involves the following steps: 1. **Analyst Attention**: Stocks must have at least five "Buy" or "Overweight" ratings in the past three months[27]. 2. **Relative Strength**: Stocks must rank in the top 20% of the market based on their 250-day price performance[27]. 3. **Price Stability**: Stocks are scored based on two indicators: - **Price Path Smoothness**: Measured by the ratio of price displacement to the total price movement over the past 120 days[25][27]. - **New High Consistency**: The average 250-day new high distance over the past 120 days[27]. 4. **Trend Continuity**: The average 250-day new high distance over the past five days is used to select the top 50 stocks[27]. - **Model Evaluation**: This model emphasizes the importance of smooth momentum and consistent trends, which are often overlooked by investors, leading to stronger momentum effects[25][27]. --- Backtesting Results of Models 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.12% - Shenzhen Component Index: 3.19% - CSI 300: 3.55% - CSI 500: 0.53% - CSI 1000: 0.35% - CSI 2000: 0.23% - ChiNext Index: 8.48% - STAR 50 Index: 7.39%[12][32] 2. Stable New High Stock Screening Model - **Selected Stocks**: 50 stocks were identified, including Borui Pharmaceutical, Shenghong Technology, and Huaguang Energy[28][33]. - **Sector Distribution**: - Manufacturing: 18 stocks - Cyclical: 13 stocks - Leading industries: Machinery in manufacturing and basic chemicals in cyclical sectors[28][33] --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: This factor measures the relative position of a stock's closing price to its 250-day high, capturing momentum and trend-following characteristics[11]. - **Factor Construction Process**: The formula is the same as the 250-Day New High Distance Model: $ 250\ Day\ New\ High\ Distance = 1 - \frac{Close_t}{ts\_max(Close, 250)} $ - $ Close_t $: Latest closing price - $ ts\_max(Close, 250) $: Maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: This factor is effective in identifying stocks with strong upward momentum and market leadership potential[11][19]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: This factor evaluates the stability of a stock's price movement over time, favoring stocks with less volatile momentum[25]. - **Factor Construction Process**: - **Price Path Smoothness**: Calculated as the ratio of price displacement to the total price movement over the past 120 days[25][27]. - **Factor Evaluation**: Smooth price paths are associated with stronger momentum effects due to reduced investor attention and reaction[25]. 3. Factor Name: New High Consistency - **Factor Construction Idea**: This factor measures the consistency of a stock's new highs over time, emphasizing sustained upward trends[27]. - **Factor Construction Process**: - **New High Consistency**: The average 250-day new high distance over the past 120 days[27]. - **Factor Evaluation**: Consistent new highs indicate strong and sustained momentum, making this factor valuable for trend-following strategies[27]. --- Backtesting Results of Factors 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 0.12% - Shenzhen Component Index: 3.19% - CSI 300: 3.55% - CSI 500: 0.53% - CSI 1000: 0.35% - CSI 2000: 0.23% - ChiNext Index: 8.48% - STAR 50 Index: 7.39%[12][32] 2. Price Path Smoothness Factor - **Selected Stocks**: 50 stocks were identified, including Borui Pharmaceutical, Shenghong Technology, and Huaguang Energy[28][33]. - **Sector Distribution**: - Manufacturing: 18 stocks - Cyclical: 13 stocks - Leading industries: Machinery in manufacturing and basic chemicals in cyclical sectors[28][33] 3. New High Consistency Factor - **Selected Stocks**: Same as the Price Path Smoothness Factor, as this factor is part of the screening process for stable new high stocks[28][33].

Group 1 - The report indicates that the financing balance in the A-share market reached a ten-year high, with banks leading in valuation performance [1][3][54] - The overall market sentiment is characterized by an increase in the margin trading balance, while the turnover rate and transaction volume showed mixed results [2][19] - The report highlights that the PE valuation percentiles of major indices exhibited mixed changes, with the ChiNext index experiencing the largest decline [24][27] Group 2 - The report notes that the financial sector's PE valuation percentile increased by 2.1 percentage points, leading among various styles [35][41] - The oil and petrochemical sector saw the largest decline in PE valuation percentile, down by 6.2 percentage points, while the banking sector increased by 5.2 percentage points [53][54] - The report emphasizes that the current A-share market maintains a relatively high investment cost-effectiveness, with the stock-bond yield at -1.09% as of August 6, 2025 [13][16]