Core Viewpoint - The global market is showing initial signs of a bottoming out in the current adjustment phase, with conditions for oversold assets hitting a low and overbought assets being sold off, but oil prices and the dollar have not yet reversed, and the S&P 500 has not fully cleared [3][4]. Group 1: Market Adjustment Signals - The current market adjustment is triggered by external shocks and excessive optimism, with some oversold assets showing signs of bottoming out [3]. - The Bank of America Merrill Lynch's Bull & Bear Indicator remains high at 9.2, indicating extreme bullish sentiment, which limits the potential for a rebound [4][18]. - The market requires four conditions to declare the end of the adjustment: oversold assets hitting a low, overbought assets being sold, a loss of support for safe-haven assets, and a real price clearing [6]. Group 2: AI Investment and Technology Sector - Nvidia has retracted its previously announced $100 billion investment in OpenAI, signaling a potential slowdown in AI capital expenditure growth, which could impact the technology bond and software sectors significantly [5][16]. - The software ETF's peak coincided with Nvidia's initial investment announcement, and its withdrawal may catalyze a reversal in technology trading strategies [16]. Group 3: Economic Outlook and Inflation - The 2020s are more likely to experience inflationary prosperity rather than a repeat of the 1970s stagflation, contingent on geopolitical stability, particularly regarding Iran [9][12]. - Factors supporting inflationary prosperity include political populism, reversal of globalization, excessive fiscal expansion, and a "too big to fail" stock market [11]. - Historical patterns indicate that commodities and physical assets are likely to benefit in an inflationary environment, while government intervention may suppress bond yields [11]. Group 4: Historical Context and Current Trends - The historical context of the 1970s shows that aggressive fiscal and monetary policies initially led to market gains, followed by significant downturns due to inflation and oil shocks [15]. - Current trends reflect a similar pattern, with oil prices rising by 30% and gold by 18.3% in 2026, while the S&P 500 has only seen a slight increase of 0.3% [12].

Market Overview - The three major A-share indices experienced a collective decline in the morning session, with the Shanghai Composite Index down by 0.17%, the Shenzhen Component Index down by 0.68%, and the ChiNext Index down by 1.46% [1] - The North China 50 Index fell by 0.74%, and the total trading volume in the Shanghai and Shenzhen markets reached 1.5966 trillion yuan, a decrease of 53.2 billion yuan compared to the previous day [1] - Over 2,300 stocks in the market saw an increase [1] Sector Performance - The sectors that performed well included small metals, computing power leasing, cloud computing, coal mining and processing, cross-border payments, steel, photovoltaic equipment, AI applications, and tourism and hotel industries [1] - Conversely, the sectors that faced declines included paper making, PCB, CPO, storage chips, batteries, photolithography machines, and PET copper foil [1] ETF Performance - In the ETF market, AI applications showed a rebound, with the ChiNext Software ETF from Huaxia rising by 2.9%, the Software ETF increasing by 2.33%, and the Online Consumption ETF from Southern rising by 1.84% [1] - The small metals sector also strengthened, with the Rare Earth ETF from Jiashi and the Rare Metals ETF rising by 2.57% and 2.52%, respectively [1] - The computing power leasing sector saw gains, with the Computer ETF from Southern and the Big Data ETF increasing by 2.5% and 2.4%, respectively [1] - Growth sectors faced declines, with the ChiNext Growth ETF and the Shenzhen Growth ETF from Dacheng falling by 3% and 2.79% [1] - The semiconductor equipment sector experienced a pullback, with various ETFs in this category declining between 2.20% and 2.77% [1]

Group 1 - The core message emphasizes the importance of understanding the underlying trading behaviors behind market movements rather than reacting to superficial price changes [1] - Many investors fall into the trap of making decisions based solely on market trends, leading to losses when they chase after rising stocks or sell off during declines [1][2] - Quantitative data can reveal four core trading behaviors: bullish dominance, profit-taking, bearish dominance, and short covering, which help in understanding the true market intentions [2][5] Group 2 - The article illustrates that even when a stock appears to be on an upward trend, it may be dominated by profit-taking behavior, indicating potential price adjustments ahead [5][11] - It highlights that profit-taking does not necessarily lead to a market decline, as large funds may realize profits during upward trends, similar to a store clearing inventory during a sale [6][12] - The article also points out that negative news does not always result in market downturns; sometimes, it can create opportunities for investors who recognize the underlying buying activity [12][14] Group 3 - The core value of quantitative thinking is to help investors avoid subjective judgments based on emotions and news, instead relying on objective data to understand market behaviors [15][17] - By utilizing quantitative data, investors can maintain a rational perspective and avoid making impulsive decisions based on market fluctuations [16][17] - The article encourages a shift from emotional trading to a more analytical approach, which is essential for responsible capital management [17]

Core Viewpoint - The company emphasizes its commitment to investor interests and the importance of a robust investment framework as it transitions towards high-quality development in the public fund industry by 2025 [3][6]. Group 1: Industry Growth and Transformation - The public fund industry has experienced significant growth, driven by investor confidence and market resilience, with a focus on technological advancement and industrial upgrading [3]. - 2025 is identified as a pivotal year for the public fund industry, marking a shift towards prioritizing genuine investor returns and implementing long-term assessment mechanisms [3][6]. - The industry is moving towards a model that emphasizes active counter-cyclical investment strategies and the introduction of new floating fee structures [3]. Group 2: Research and Product Development - The company is committed to integrating research, product development, investment, sales, and service to create a value loop centered on client interests [4]. - In 2025, the research team is expected to conduct over 1,600 in-depth investigations to enhance understanding of industry changes and identify long-term growth trajectories driven by technological progress [4]. - The product strategy focuses on creating comprehensive solutions that align with industry opportunities and client needs, ensuring quality management throughout the product lifecycle [4][5]. Group 3: Investment Practices and Market Services - Investment practices are anchored in a "platform-based, integrated, multi-strategy" research system, which aims to provide sustainable returns across various asset classes [5]. - The company is enhancing its market services to build trust with investors, offering a comprehensive support system that encourages long-term investment perspectives [5][6]. - In 2025, the company reported returns of 116.4 billion yuan across its public fund products, with over 220 distributions throughout the year, showcasing its competitive position in the industry [6]. Group 4: Future Outlook and Commitment - The company is poised to play a crucial role in the capital market as a core resource allocation hub, contributing to the enhancement of investor satisfaction and support for the real economy [6][7]. - The commitment to serving national development goals and the modernization of the financial sector is emphasized, with a focus on supporting technological independence and economic upgrading [7]. - The company aims to uphold its foundational principle of being investor-centric while actively engaging in the broader national development agenda [7][8].

Core Viewpoint - The decline in the software and services sector is primarily due to market reassessment of terminal value driven by "AI disruption," rather than a deterioration in short-term fundamentals [1] Group 1: Market Dynamics - The market has already reflected a compression of terminal price-to-earnings ratios by approximately 10%-20% [1] - If the compression extends to 30%, stock prices in the sector could fall back to mid-2023 lows or even lower, indicating a potential long-term evaporation of terminal value by about one-third [1] - Major software ETFs are experiencing a surge in trading volume and implied volatility, indicating a phase of panic selling [1] Group 2: Future Outlook - Extreme trading behaviors typically signify a climax in selling, suggesting a potential for a technical rebound in the short term, but this does not imply that long-term risks have been mitigated [1] - The reassessment of terminal value due to AI will persist, shifting the software industry from broad-based gains to a phase of significant individual stock differentiation [1] - The market will increasingly focus on companies' ability to integrate AI, with those enhancing efficiency through AI likely to continue growing, while those with business models easily replaceable by AI may face long-term pressures [1] - The current market is entering a more volatile bull market phase, with software stocks undergoing the most intense adjustments within this context [1]

Group 1 - The estimated profit for today is +70,000 (assets of 5.5 million), with a total profit of +119,000 across two accounts, resulting in a profit-loss ratio of +1.49% [1] - The Hang Seng Technology index has rebounded after a 20% correction from its peak, indicating a potential upward trend [1] - The recent surge in AI applications has led to significant gains, with the Media ETF rising over 4% and the Software ETF increasing over 3% [5] Group 2 - In January, there were 546,300 new fund accounts opened, representing a month-on-month increase of 123.8% and a year-on-year increase of 168.72% [6][9] - The increase in new fund accounts suggests a significant influx of retail investor capital into public funds [6] - The actual increase in fund shares will be assessed when the fund association releases data at the end of February [7][9] Group 3 - The surge in new fund accounts may be influenced by short-term arbitrage opportunities, particularly related to silver LOF [8] - If new account openings continue to rise in February, it would indicate a shift of household savings into financial products [9] - Conversely, a decline in new account openings would suggest that many new accounts were opened for short-term trading rather than long-term investment [9] Group 4 - The A-share market temperature is at 71.36, up 1.6 degrees from the previous trading day, while the Hong Kong market temperature is at 54.41, up 1.9 degrees [10][11] - The MACD golden cross signal has formed, indicating a positive trend for certain stocks [11]

Group 1 - The core viewpoint is that AI is positively impacting the content industry by increasing content supply and fostering creativity, which benefits sectors like gaming and video [1] - Concerns regarding large models disrupting creative tools, content developers, and UGC platforms are addressed, emphasizing that deep content like games involves complex scenarios, where creator ecosystems and user stickiness serve as barriers for UGC platforms [1] - Companies that possess high-quality data assets can overcome production bottlenecks and advance in the market, highlighting the importance of data in content development [1] Group 2 - The integration of AI into workflows will be complex, but external specialized software companies are expected to be more efficient than building in-house software stacks [1] - Complex scenarios and data remain the primary competitive advantages in the industry [1] - The proliferation of multimodal AI applications and increased token consumption will drive growth in AI cloud services, benefiting "water sellers" [1] Group 3 - The promotion of AI applications is anticipated to stimulate advertising budgets [1] - The software ETF (515230) tracks the software index (H30202), which reflects the performance of publicly listed companies in software development and related services [1] - The index includes companies across various segments such as operating systems, application software, and cybersecurity [1]

Group 1 - The core viewpoint is that the recent release of AI plugin tools by Anthropic has raised concerns about the disruption of traditional software business models, leading to a sell-off in U.S. software stocks [1] - There is a fundamental doubt regarding the long-term growth logic and high profit margins of the software industry, particularly for SaaS, as general large models can perform core tasks at lower costs and more directly than specialized software [1] - The current volatility in the market should be understood as a profound structural adjustment rather than a complete collapse of the industry's fundamentals [1] Group 2 - Unlike the mature U.S. market, China's SaaS industry is still in its development phase, with ongoing digital transformation demands across various sectors providing significant growth opportunities for SaaS tools [1] - In China, AI technology is viewed more as an empowering tool to enhance efficiency and open new markets, rather than a direct disruption to existing business models [1] - The Chinese SaaS industry is expected to develop along a unique path that integrates AI, differing from the U.S. experience, and its prospects are promising [1]

Group 1: Semiconductor Equipment and AI - The core logic driving the rise of the semiconductor equipment sector is the demand for advanced process expansion, particularly in the production of high-end chips like 5nm, 3nm, and 2nm, where China has not yet achieved full autonomy [1] - The domestic semiconductor industry has made some breakthroughs, particularly in GPU design, with several local companies expected to go public by the end of 2025, indicating a gradual technological advancement [1] - The semiconductor equipment ETF (159516) is primarily driven by the expansion needs of advanced processes, which is a key factor in its performance [1] Group 2: Storage Chip Price Increases - The price increase of storage chips has created a chain reaction, leading to urgent expansion needs among related companies, which is reflected in the performance of the semiconductor equipment ETF (159516) [2] - Despite the absence of a pure storage ETF, the semiconductor equipment ETF serves as a relevant investment vehicle due to the ongoing supply-demand imbalance in storage chips, which has been driving prices up since 2025 [2] - The recent performance of TSMC, which raised its earnings forecast and capital expenditures, has positively influenced market sentiment towards the semiconductor equipment sector [2] Group 3: Communication Equipment and Light Modules - The communication ETF (515880) is highlighted as a potential investment focus, particularly in light modules, which are expected to experience a supply-demand imbalance in 2026 due to anticipated upgrades in chip architecture [3] - The expected transition to "in-cabinet" light modules by 2027, which could see market sizes 4-5 times larger than current external models, presents significant growth opportunities [4] - The communication ETF's performance is tied to the expansion of production capabilities in response to the anticipated demand for upgraded light modules [3][4] Group 4: AI Applications and Market Dynamics - The AI application sector is currently fragmented, with significant areas being robotics and smart vehicles, both of which are not showing substantial growth in 2025 [4][6] - The gaming sector is identified as having a more stable fundamental outlook within AI applications, benefiting from normalized game license issuance and the potential for blockbuster products [8][10] - The gaming ETF (516010) has shown significant growth, with a more solid fundamental base compared to other AI application sectors, although it lacks the short-term catalysts seen in other areas [9][10]

Report Industry Investment Rating - No information provided in the report Core Viewpoints of the Report - This week, the performance of broad - based indexes was differentiated. The science and technology sector generally rose, with more declines on Monday and Tuesday and most sectors rising with heavy trading volume from Wednesday to Friday. The main line of science and technology is more focused and clear, and it is the sector where the consensus of funds on the liability side is concentrated and the best elastic offensive variety [4][11]. - Although broad - based ETFs continued to have net outflows this week, industry ETFs were in a net - buying state. The science and technology sector still had substantial net buying, and the inflow of funds into the non - ferrous sector was significant [5]. - The margin trading and short - selling transaction volume decreased significantly, and the margin trading and short - selling balance first decreased and then increased. The demand for hedging reflected by stock index futures weakened after Wednesday [6][9]. - Foreign capital actively participated as a right - side force in the New Year's opening market, and its participation degree even exceeded that of margin trading and short - selling. It has become a more active incremental force in the short - term market [10]. Summary by Relevant Catalogs A - share Market - **Index Performance**: This week, the performance of broad - based indexes was differentiated. The CSI 300 fell by 0.6%, while the Shanghai and Shenzhen indexes rose by 0.8% and 1.1% respectively. The CSI 500 and the micro - cap index performed well, rising by 4.3% and 5.2% respectively. The performance of technology stocks was also differentiated, with the ChiNext Index falling by 0.3%, the STAR 50 rising by 2.6%, and the CSI 1000 rising by 2.9% [14]. - **Trading Volume**: The trading volume of broad - based indexes decreased significantly. The average daily trading volume decreased from 3.5 trillion to 2.8 trillion. Specifically, the trading volume of the entire A - share market decreased from over 3 trillion from Monday to Thursday to about 2.7 trillion, and rebounded to over 3 trillion on Friday [19]. A - share Industry - **Industry Performance**: This week, the top five rising industries were building materials (8.82%), basic chemicals (6.76%), steel (5.78%), petroleum and petrochemicals (5.76%), and non - ferrous metals (4.92%). The top five falling industries were banks (- 4.07%), media (- 2.96%), communications (- 2.77%), non - bank finance (- 2.57%), and computers (- 2.52%) [26]. - **Science and Technology Sub - sectors**: Since 2026, areas such as storage, semiconductors, and HBM have had relatively large excess returns compared to the Wind All - A Index. The excess returns of commercial aerospace and optical modules, which performed well in December, have declined or even turned negative. This week, the science and technology sector generally rose, with more declines on Monday and Tuesday and most sectors rising with heavy trading volume from Wednesday to Friday [28][32]. ETF Funds - **Broad - based ETFs**: Index ETF funds continued to have large - scale net outflows, with large - cap index ETFs having more outflows. The average daily net outflow of the CSI 300 ETF was over 14 billion, the average daily net outflow of the SSE 50 ETF was 7.3 billion, and the average daily net outflow of the CSI 1000 ETF was 6.2 billion. The SSE Composite Index ETF had a slight net inflow [37]. - **Industry ETFs**: Although broad - based ETFs still had net outflows this week, industry ETFs were in a net - buying state. The non - ferrous sector had a significant pulsed inflow of funds, and the science and technology sector still had substantial net buying. Science and technology sub - sectors represented by software and satellites continued to rank high in terms of net inflow [44]. Leveraged Funds - **Margin Trading and Short - Selling Transaction Volume and Balance**: After the implementation of the new margin trading and short - selling regulations on January 19, the proportion of margin trading and short - selling transactions decreased from 11.2% to 9.9%. The margin trading and short - selling balance first decreased and then increased, with the average balance this week being about 2.72 trillion, slightly higher than last week's 2.70 trillion [49]. - **Broad - based Index Margin Trading and Short - Selling**: From Monday to Tuesday this week, except for the SSE 50 and the STAR 50, the leveraged funds of most broad - based index components had net outflows; from Wednesday to Thursday, the leveraged funds of the CSI 300, SSE Composite Index, SSE 50, and CSI 1000 index components turned into net inflows. Overall, the net inflow of index margin trading and short - selling this week was less than that of last week [54]. - **Industry Margin Trading and Short - Selling**: On Monday and Tuesday this week, most industries de - leveraged, while on Wednesday and Thursday, most industries re - leveraged. Non - bank finance, communications, transportation, and comprehensive industries had relatively large increases in the proportion of margin trading net buying to trading volume [59]. - **Stock Market Value and Margin Trading and Short - Selling**: This week, stocks of all market - value gradients added leverage, with stocks with a market value of over 500 billion adding leverage to a greater extent [61]. - **Popular Stocks and Margin Trading and Short - Selling**: Popular stocks in electronics, power equipment, national defense and military industry, and non - ferrous metals mostly added leverage, while popular stocks in the media mostly de - leveraged. The proportion of leveraged funds in the trading volume of the top 35 popular stocks decreased this week [64][68]. Quantitative Funds - **Quantitative Index Enhancement Excess Returns**: Since January, the excess returns of the CSI 500 and CSI 1000 quantitative index enhancement have fallen to negative values, with the medians being - 1.14% and - 0.07% respectively [72]. - **Stock Index Futures Basis**: This week, the basis of stock index futures declined compared to last week but still remained at a relatively high level. From Wednesday to Friday, the basis of near - month stock index futures turned into a premium, indicating a weakening of hedging demand after Wednesday [78]. Main Funds - **Broad - based Index Main Funds**: The main funds of the CSI 300, ChiNext, and STAR Market continued to have net outflows this week, but the outflow slowed down significantly compared to last week. The CSI 300 had a large - scale net outflow from Monday to Tuesday and then turned into a net inflow on Wednesday and Thursday [83]. - **Industry Main Funds**: This week, the main funds flowed out of most industries, with the largest outflows in electronics, followed by computers, communications, and power equipment. The outflows were relatively large on Monday and Tuesday. The main funds flowed into banks, building materials, and coal [91]. North - bound Funds - **Participation Degree**: Foreign capital actively participated as a right - side force in the New Year's opening market, and its participation degree even exceeded that of margin trading and short - selling. The trading volume proportion of north - bound funds increased from 11.0% before the New Year's Day to 11.8%, an increase of 0.8 percentage points, while the proportion of margin trading and short - selling only increased from 10.6% to 11.0%, an increase of 0.4 percentage points [93]. - **Trading Volume and Proportion**: This week, the total trading volume of north - bound funds decreased, with the average daily trading volume decreasing from 401.1 billion to 338.5 billion, and the proportion of A - share trading volume increasing from 11.61% to 12.10%. Since late December, the trading activity of north - bound funds has significantly rebounded [102].