Liquidity - The net inflow of leveraged funds has significantly rebounded to a historical high of approximately 785 billion CNY, compared to a net outflow of 737 billion CNY in the previous period, placing it in the 96th percentile over the past three years[6] - The issuance of equity public funds has decreased to a historical low of 15 billion CNY, down from 259 billion CNY in the previous period, representing only 21% of the three-year percentile[6] - The net inflow of southbound funds has decreased to 59 billion CNY, down from 246 billion CNY, placing it in the 25th percentile over the past three years[35] Trading Congestion - The trading heat for the light industry has increased by 22 percentage points to 41%, while the coal industry has risen by 15 percentage points to 34%, and the building materials sector has increased by 14 percentage points to 76%[4] - Conversely, the medical services sector has decreased by 19 percentage points to 43%, the semiconductor industry has dropped by 17 percentage points to 20%, and the home appliance sector has fallen by 14 percentage points to 29%[4] Investor Sentiment - Retail investors have seen a net inflow of 800.9 billion CNY in the past week, a decrease of 376.1 billion CNY from the previous value, placing it in the 32.5th percentile over the past five years[2] - The search interest for A-shares on social media has increased, indicating a rise in market trading sentiment[2] - The trend of public funds clustering has weakened, with no significant style bias observed, shifting towards the new energy sector[2]

Investment Rating - The industry investment rating is "Hold" [1] Core Insights - The report emphasizes the ongoing transformation in the AI sector, highlighting that major companies are continuously increasing their investments in AI applications, which are expected to accelerate commercialization [1][2] - The report notes that the computer industry index has underperformed compared to major indices, indicating a relative weakness in the sector [2] Summary by Relevant Sections Recent Market Performance - During the week of February 23 to February 27, the Shanghai Composite Index rose by 1.98%, while the computer industry index increased by only 0.62%, underperforming the Shanghai Composite by 1.36 percentage points [2] AI Model Developments - Google launched its upgraded core model Gemini 3.1 Pro, achieving a significant improvement in reasoning capabilities, scoring 77.1% in the ARC-AGI-2 benchmark, more than double the performance of its predecessor [4] - Alibaba expanded its open-source model offerings, with Qwen3.5-397B-A17B showing impressive performance in complex tasks [4] - Domestic AI model company DeepSeek is set to release its flagship model DeepSeek V4, which supports multi-modal interactions and has enhanced long-text processing capabilities [4] - MiniMax introduced its programming model MiniMax M2.5, which has quickly gained popularity, contributing significantly to token usage on OpenRouter [4] Company Financial Performance - Nvidia reported a 73% year-over-year revenue increase to $68.127 billion for Q4 of fiscal year 2026, with data center revenue growing by 75% [5] - Domestic AI computing leader Moore Threads reported a 243.37% revenue increase to 1.505 billion yuan for 2025, although it still posted a net loss [5] - Haiguang Information anticipates a revenue increase of 62.91% to 75.82% year-over-year for Q1 2026 [5] Investment Recommendations - The report suggests focusing on companies in the computing power sector such as Cambrian, Haiguang Information, and others, as well as AI application companies like Kingsoft Office and iFlytek [6]

Group 1 - The macro liquidity environment shows a recent decline in the US dollar index, with the degree of inversion in the China-US interest rate spread continuing to narrow. Both nominal and real yields on 10-year US Treasuries have decreased, indicating a drop in inflation expectations [2][15][22]. - Offshore dollar liquidity has tightened marginally, while the domestic interbank funding environment remains balanced and relatively loose, with the term spread (10Y-1Y) narrowing [2][22]. Group 2 - Market trading activity has increased, with trading heat in sectors such as building materials, steel, chemicals, media, and oil & petrochemicals exceeding the 90th percentile. The volatility of major indices has also decreased [3][27][33]. - The volatility of the steel and military sectors remains above the 80th percentile, indicating heightened market activity in these areas [3][33]. Group 3 - Research activity is concentrated in sectors such as banking, electronics, electric new energy, computing, and military, with a notable increase in research heat in the home appliance sector [4][44]. - The research intensity in the top 100 holdings of actively managed equity funds, as well as in the ChiNext Index, CSI 500, and CSI 300, has shown a decline [4][44][50]. Group 4 - Analysts have adjusted net profit forecasts for the entire A-share market for 2026 and 2027, with increases noted in sectors such as oil & petrochemicals, transportation, textiles, machinery, and utilities [5][21][24]. - The proportion of stocks with upward revisions in net profit forecasts for 2026 and 2027 has continued to rise, while the forecasts for the CSI 500 and SSE 50 have been downgraded [5][21][24]. Group 5 - Northbound trading activity has rebounded, with a net sell-off of A-shares observed. The trading volume ratio in sectors like telecommunications, non-ferrous metals, and food & beverages has increased, while net buying has been concentrated in utilities, electronics, and construction [6][31][33]. - The net buying activity in coal, food & beverages, and media sectors contrasts with net selling in electric new energy and chemicals [6][31][33]. Group 6 - The margin financing activity has reached its highest point since late January 2026, with significant net buying in sectors such as electronics, non-ferrous metals, and electric new energy, while net selling occurred in oil & petrochemicals and agriculture [7][35]. - The trading volume on the "Dragon and Tiger List" has increased, particularly in the chemical, light industry, and steel sectors, indicating a resurgence in speculative trading [7][41]. Group 7 - Actively managed equity funds have seen a decrease in positions, with notable increases in allocations to oil & petrochemicals, building materials, and consumer services, while reducing positions in electronics, non-ferrous metals, and computing [8][45]. - The correlation of actively managed equity funds with large/mid/small-cap value stocks has increased, while the correlation with growth stocks has decreased [8][45].

- The report focuses on the performance of the convertible bond market, highlighting that from February 24 to February 27, 2026, the weekly returns of the Shanghai Convertible Bond Index, Shenzhen Convertible Bond Index, and CSI Convertible Bond Index were -0.336%, -0.031%, and -0.234%, respectively, while the CSI All Share Index achieved a weekly return of 2.744%[7][10] - The convertible bond market's trading volume and value for the same period were 161,146.86 million units and 29,450,827.38 million yuan, respectively, showing a week-on-week decrease of -24.61% and -25.57%[7][10] - The median conversion premium rate of the convertible bond market as of February 27, 2026, was approximately 29.16%, with an arithmetic average of 41.94%, reflecting a significant week-on-week decline of -15.32% and -9.77%, respectively[10][17] - The report provides a breakdown of convertible bond prices, showing that as of February 27, 2026, the number of bonds priced below 100, between 100-110, 110-120, 120-130, 130-140, and above 140 were 0, 8, 14, 56, 88, and 205, respectively, with corresponding median conversion premium rates of 0.00%, 46.48%, 20.87%, 72.27%, 34.65%, and 23.63%[31][36][37] - The top five performing convertible bonds for the week were Aiwei Convertible Bond, Huiche Convertible Bond, Youcai Convertible Bond, Shuangliang Convertible Bond, and Guanglian Convertible Bond, with weekly returns of 72.02%, 21.84%, 21.16%, 19.66%, and 16.11%, respectively[18][21] - The bottom five performing convertible bonds for the week were Huicheng Convertible Bond, Weidao Convertible Bond, Ruichuang Convertible Bond, Xinfeng Convertible Bond, and Hengshuai Convertible Bond, with weekly returns of -18.37%, -16.84%, -16.28%, -14.04%, and -13.68%, respectively[18][19][21]

Group 1 - Shenzhen Wushi Innovation Technology Co., Ltd. recently completed a Pre-A round financing, raising tens of millions of RMB, with investors including Tongchuang Weiye, Leju Robotics, and Songling Robotics [1] - The company was established in 2022 and is located in Shenzhen, primarily engaged in the manufacturing of computers, communications, and other electronic devices [1] - The registered capital of Shenzhen Wushi Innovation Technology Co., Ltd. is 1 million RMB, and it is projected to complete its Pre-A round by 2026 [1] Group 2 - The company holds 2 patents and has obtained 7 administrative licenses according to data analysis from Tianyancha [1] - The shareholders of Shenzhen Wushi Innovation Technology Co., Ltd. include Fu Guohe, Zhuhai Wuxin Technology Partnership (Limited Partnership), Zhuhai Wuhe Technology Partnership (Limited Partnership), Shenzhen Runxing Investment Co., Ltd., and Leju Intelligent (Shenzhen) Co., Ltd. [1]

Market Stability - Stability is the current backdrop of the Chinese stock market, with the Shanghai Composite Index recently stabilizing and recovering[7] - The geopolitical situation in the Middle East has limited impact on the index, and the market is expected to show a positive trend[7] - The Chinese government's increasing strength in national power, military, and governance contributes to the current stability of the economy and stock market[7] Economic Outlook - The upcoming National People's Congress is expected to lead to better-than-expected arrangements for deficit rates and local government special bonds, which will stabilize the real estate market[11] - In January and February 2026, the issuance of new special bonds reached CNY 0.83 trillion, a year-on-year increase of 39.6%, which is expected to boost economic activity[11] - The construction resumption rate and funding availability have increased by 1.5% and 3.7% year-on-year, respectively, indicating a positive trend in economic recovery[11] Sector Recommendations - The financial sector, particularly banks and non-bank financial institutions, is recommended for investment due to its stabilizing role in the market[22] - Emerging technologies, especially in AI and autonomous control, are highlighted as key investment areas, with recommendations for sectors like machinery, electronics, and defense[22] - Value sectors such as materials, oil transportation, and chemicals are expected to benefit from the domestic investment recovery and improving physical workload[22] Risk Factors - Potential risks include an unexpected global economic recession and uncertainties in global geopolitical situations[4]

Core Insights - The North Exchange 50 index experienced a slight increase of +0.48% this week, with 193 out of 295 listed companies showing positive weekly growth, led by Tongbao Optoelectronics (+61.41%) and *ST Yunchuang (+29.55%) [3][11] - The average daily trading volume on the North Exchange was approximately 17.96 billion yuan, with a total trading volume of 71.82 billion yuan over four trading days [4][5] - The overall price-to-earnings (P/E) ratio for the North Exchange is around 47.37 times, showing a slight increase from the previous week [22][25] - The number of market makers on the North Exchange has expanded to 21, enhancing market liquidity and trading mechanisms [3][42] Market Overview - The North Exchange's daily average trading volume was approximately 17.96 billion yuan, with a total trading volume of 71.82 billion yuan and a trading volume of 2.919 billion shares this week [4][5] - The North Exchange's turnover rate was 13.40%, higher than that of the Sci-Tech Innovation Board and the Shanghai and Shenzhen main boards [5][6] - The North Exchange has a total of 295 listed companies, with a total market capitalization of 942.59 billion yuan [6][22] Industry Performance - The sectors with the highest weekly growth included petroleum and petrochemicals (+21.8%), environmental protection (+8.0%), and transportation (+6.1%), while the media sector saw a decline of -15.6% [11][12] - The average P/E ratio for the non-ferrous metals sector is the highest at 129.6 times, followed by petroleum and petrochemicals (92.6 times) and telecommunications (90.4 times) [25][26] Investment Strategy - The report recommends focusing on two main investment directions for 2026: 1. A top-down approach targeting new productive forces in the North Exchange, particularly in emerging industries such as new energy (hydrogen and nuclear fusion), embodied intelligence (robotics), biomanufacturing, mobile communications, and new consumption [28] 2. A bottom-up approach based on financial indicators, focusing on companies with high growth rates, strong R&D investment, significant capacity release potential, and strong growth prospects [28] Company Announcements - Important announcements from North Exchange companies this week included asset restructuring, major contracts, foreign investments, and new patents [30][31]

Investment Rating - The report does not explicitly provide an investment rating for the industry Core Insights - The deep learning factor achieved an excess return of 1.50% in February, with the highest heat change observed in the steel and environmental protection sectors [1] - The top 5 industries with positive heat change this week include steel, environmental protection, public utilities, computer, and building materials [2] - The rolling 5-year historical valuation percentiles for major indices are as follows: CSI 300 at 91%, CSI 500 at 100%, and CSI 1000 at 100% [3] Summary by Sections Deep Learning Factor Tracking - A long position portfolio based on the DecompGRU model has generated a cumulative absolute return of 84.37% and an excess return of 43.11% relative to the equal-weighted CSI All Share Index since its inception [10] - The ETF rotation portfolio has achieved a cumulative absolute return of 53.40% and an excess return of 17.47% relative to the Wind ETF Index [13] Market Sentiment Tracking - The CSI 1000 index experienced the highest heat change rate this week, increasing by 3.63%, while the CSI 2000 index saw a decrease of 2.85% [24] - The top 5 concepts with the largest heat change include fertilizers, phosphorus chemicals, cultivated diamonds, rare earth permanent magnets, and rural e-commerce [36] Market Valuation Monitoring - The current valuation of several primary industries is above the historical 80th percentile, including power equipment, electronics, building materials, light industry manufacturing, environmental protection, and steel [45][46] - Industries with valuations below the historical 20th percentile include food and beverage, comprehensive, and non-bank financials [45] Event Tracking - This week, there were 9 stock incentive events, 18 significant shareholder buy/sell events, and 5 private placement events [50][51][53] - Analysts initiated coverage on 12 stocks and upgraded ratings for 3 stocks this week [55][57]

Investment Rating - The industry investment rating is "Outperform the Market," indicating that the industry index is expected to perform better than the benchmark index over the next 6-12 months [11]. Core Insights - The report highlights that major domestic internet companies invested over 4.5 billion yuan during the Spring Festival to promote AI applications, marking a shift towards an ecosystem competition and user habit cultivation phase in AI [1]. - The development of large models is accelerating, with domestic firms catching up in performance and market application, suggesting a dual development path towards "general large models" and "vertical industry applications" [1]. - Despite concerns about AI replacing human jobs, the industry is shifting towards a more pragmatic approach, focusing on commercialization and practical applications [1]. Summary by Sections Investment Recommendations - The report suggests focusing on companies in the large model and AI Agent sectors, including Zhihui, MINIMAX-WP, iFlytek, Tuolisi, Hand Information, Zhongkong Technology, Baoxin Software, Suochen Technology, Wanxing Technology, Kingsoft Office, Hehe Information, Yonyou Network, Daotong Technology, Shiji Information, Shuiyou Co., and Anheng Information [3]. Industry Developments - Major tech companies are heavily investing in AI marketing, with significant promotional activities during the Spring Festival, including cash giveaways and product promotions to encourage user engagement with AI [1]. - Domestic models are evolving, with Alibaba's Tongyi Qianwen 3.5 series and MiniMax's new text model M2.5 demonstrating significant advancements in capabilities and competitive pricing [1]. - The report notes a growing concern in the market due to dystopian predictions about AI's impact on employment, but emphasizes that current AI tools are limited in their ability to replace complex human tasks [1]. Market Dynamics - The report indicates that the AI industry is entering a phase of rational capital expenditure adjustments, signaling a shift towards refined operations and commercial validation [1]. - The future of large model development may see a bifurcation, with major internet companies focusing on general model research while specialized firms leverage their industry-specific data and understanding to develop vertical models and AI Agents [1].

Quantitative Models and Construction Methods Model 1: Hot Trend ETF Strategy - **Model Name**: Hot Trend ETF Strategy - **Model Construction Idea**: The strategy is based on selecting ETFs with the highest and lowest price patterns and constructing a risk parity portfolio with the top 10 ETFs showing the highest short-term market attention. - **Model Construction Process**: - Select ETFs with both highest and lowest prices in an upward pattern. - Construct support and resistance factors based on the relative steepness of the regression coefficients of the highest and lowest prices over the past 20 days. - Choose the top 10 ETFs with the highest turnover rate in the past 5 days relative to the past 20 days. - Construct a risk parity portfolio with these ETFs. - **Model Evaluation**: The strategy achieved a return of 59.92% since 2025, with an excess return of 36.61% compared to the CSI 300 Index[28][29]. Model 2: Three-Strategy Fusion ETF Rotation - **Model Name**: Three-Strategy Fusion ETF Rotation - **Model Construction Idea**: The strategy combines three industry rotation strategies driven by quantitative fundamentals, quality low volatility, and distressed reversal to achieve factor and style complementarity. - **Model Construction Process**: - Construct industry rotation strategies based on fundamental rotation, quality low volatility, and distressed reversal. - Combine these strategies equally to select industries from different dimensions. - Achieve factor and style complementarity to reduce the risk of a single strategy. - **Model Evaluation**: The strategy achieved a cumulative return of 12.16% from April 10, 2017, to February 27, 2026, with a Sharpe ratio of 0.74. The strategy's annual performance and latest holdings are also detailed[32][34][37]. Model 3: All-Weather Strategy - **Model Name**: All-Weather Strategy - **Model Construction Idea**: The strategy aims to achieve stable returns by avoiding the "prediction" dilemma through diversified risk. It follows three basic principles: asset selection, risk adjustment, and structural hedging. - **Model Construction Process**: - Use a cyclic hedging design to bypass macro factors and directly address asset volatility for long-term return balance. - Construct high-volatility and low-volatility portfolios based on risk levels. - **Model Evaluation**: As of 2025, the high-volatility version had an annualized return of 11.8%, an average maximum drawdown of 3.6%, and a Sharpe ratio of 2.3. The low-volatility version had an annualized return of 8.8%, an average maximum drawdown of 2.0%, and a Sharpe ratio of 3.4. Since 2026, the high-volatility and low-volatility versions had returns of 2.7% and 1.1%, respectively[49][59][60]. Model Backtest Results - **Hot Trend ETF Strategy**: - Return since 2025: 59.92% - Excess return compared to CSI 300 Index: 36.61%[28][29] - **Three-Strategy Fusion ETF Rotation**: - Cumulative return (April 10, 2017 - February 27, 2026): 12.16% - Sharpe ratio: 0.74 - Annual performance and latest holdings detailed[32][34][37] - **All-Weather Strategy**: - High-volatility version (as of 2025): Annualized return 11.8%, average maximum drawdown 3.6%, Sharpe ratio 2.3 - Low-volatility version (as of 2025): Annualized return 8.8%, average maximum drawdown 2.0%, Sharpe ratio 3.4 - Returns since 2026: High-volatility 2.7%, Low-volatility 1.1%[49][59][60] Quantitative Factors and Construction Methods Factor 1: Beta Factor - **Factor Name**: Beta Factor - **Factor Construction Idea**: Measures the sensitivity of a stock's returns to market returns. - **Factor Construction Process**: Calculate the beta coefficient of each stock based on its historical returns relative to the market index. - **Factor Evaluation**: The beta factor recorded a positive return of 3.26% this week, indicating that high-beta stocks regained market favor[62]. Factor 2: Momentum Factor - **Factor Name**: Momentum Factor - **Factor Construction Idea**: Measures the tendency of stocks to continue their past performance. - **Factor Construction Process**: Calculate the momentum of each stock based on its historical returns over a specified period. - **Factor Evaluation**: The momentum factor recorded a positive return of 2.37% this week, reflecting that high-momentum stocks gained market attention[62]. Factor 3: Liquidity Factor - **Factor Name**: Liquidity Factor - **Factor Construction Idea**: Measures the ease with which a stock can be traded. - **Factor Construction Process**: Calculate the liquidity of each stock based on its trading volume and bid-ask spread. - **Factor Evaluation**: The liquidity factor recorded a positive return of 2.21% this week, indicating that liquid stocks gained market attention[62]. Factor Backtest Results - **Beta Factor**: - Weekly return: 3.26%[62] - **Momentum Factor**: - Weekly return: 2.37%[62] - **Liquidity Factor**: - Weekly return: 2.21%[62]