Core Insights - The report indicates that the market is currently in a consolidation phase, with a potential for further short-term adjustments as trading volume continues to decrease, but remains above critical thresholds [2][5][6] - The overall market (wind All A index) experienced a decline of 4.13% last week, with small-cap stocks (CSI 1000) dropping by 5.25% and mid-cap stocks (CSI 500) falling by 5.82% [6][7] - Key sectors showing resilience include telecommunications and banking, while materials such as non-ferrous metals and steel have underperformed significantly [6][7] Market Dynamics - The distance between the short-term (20-day) and long-term (120-day) moving averages has narrowed to 4.33%, indicating a bearish market sentiment with a negative profit effect of -4.35% [5][6][9] - The report highlights that the core variable to observe is the change in risk appetite, influenced by factors such as shifts in Federal Reserve interest rate expectations and ongoing geopolitical tensions in the Middle East [7][9] - A trading volume below 17 trillion is anticipated to signal a potential rebound in the market [5][7] Sector Allocation - The mid-term industry allocation model suggests focusing on sectors related to computing power, such as semiconductor equipment (ETF code 159516.SZ) and telecommunications (ETF code 515880.SH), as well as cyclical sectors like oil and gas (ETF code 159309.SZ) and energy chemicals (ETF code 159981.SH) [5][12] - In a defensive strategy, short-term attention should be given to banking ETFs and tourism ETFs [5][12] Valuation Metrics - The wind All A index's PE ratio is positioned around the 85th percentile, indicating a moderately high valuation level, while the PB ratio is at the 50th percentile, reflecting a medium valuation level [7][9] - Based on the current market conditions, a 50% allocation in absolute return products based on the wind All A index is recommended [5][7]

Group 1: Report Information - The report is a "Industry Rotation TF Strategy Weekly Report" covering the period from March 9, 2026, to March 15, 2026, and was released on March 16, 2026 [1][2] Group 2: Strategy Basis - The Financial Street Securities Research Institute constructed a strategy portfolio based on industry and theme ETFs, referring to the strategy reports "Strategy Portfolio Report under Industry Rotation: Quantitative Analysis from the Perspective of Industry Style Continuity and Switching" (20241007) and "Research on the Overview and Allocation Methods of the Stock - type ETF Market: Taking the ETF Portfolio Based on the Industry Rotation Strategy as an Example" (20241013) [2] Group 3: Portfolio Adjustment - In the week of March 16, 2026, the model recommends allocating to sectors such as marine equipment, refining and trading, and aviation equipment. The strategy will newly hold products like Ship ETF, Oil and Gas ETF Huatong, Aerospace ETF, Energy ETF GF, and Resources ETF Boshi, and continue to hold Grid Equipment ETF [3][12] Group 4: Portfolio Details | Fund Code | ETF Name | ETF Market Value (billion yuan) | Holding Status | Shenwan Industry and Weight | Weekly Timing Signal | Daily Timing Signal | | --- | --- | --- | --- | --- | --- | --- | | 560710 | Ship ETF | 16.14 | Added | Marine Equipment (41.57%) | 1 | -1 | | 159309 | Oil and Gas ETF Huatong | 31.18 | Added | Refining and Trading (26.34%) | 1 | -1 | | 159227 | Aerospace ETF | 39.78 | Added | Aviation Equipment (55.27%) | 1 | -1 | | 159945 | Energy ETF GF | 1.37 | Added | Coal Mining (43.03%) | 1 | 1 | | 510410 | Resources ETF Boshi | 12.24 | Added | Industrial Metals (27.62%) | 1 | -1 | | 515210 | Steel ETF | 43.74 | Added | General Steel (56.87%) | 1 | 0 | | 517520 | Gold Stocks ETF | 156.96 | Added | Precious Metals (44.08%) | 1 | -1 | | 516910 | Logistics ETF Fullgoal | 1.35 | Added | Logistics (42.91%) | 1 | 1 | | 159326 | Grid Equipment ETF | 336.01 | Continued | Grid Equipment (77.17%) | 1 | 1 | | 562850 | Central - State - Owned Energy ETF Harvest | 2.90 | Added | Electricity (37.09%) | 1 | 1 | [3] Group 5: Performance Tracking - From March 9 to March 13, 2026, the cumulative net return of the strategy was approximately 2.18%, and the excess return relative to the CSI 300 ETF was approximately 1.97%. From October 14, 2024, to the present, the cumulative out - of - sample return of the strategy was approximately 38.39%, and the cumulative excess return relative to the CSI 300 ETF was approximately 14.68% [3] Group 6: Previous Week's Portfolio Changes | Fund Code | ETF Name | ETF Market Value (billion yuan) | Holding Status | One - week Return Rate (%) | | --- | --- | --- | --- | --- | | 159887 | Bank ETF | 1.41 | Removed | 4.48 | | 562550 | Green Electricity ETF | 8.30 | - | - | | 159933 | Financial Real Estate ETF SDIC UBS | 1.17 | Removed | -2.79 | | 159326 | Grid Equipment ETF | 336.01 | Continued | -0.11 | | 510060 | Central - State - Owned Enterprises ETF ICBC | 1.02 | Removed | - | | 515220 | Coal ETF | 105.34 | Removed | - | | 562900 | Agriculture ETF E Fund | 2.54 | Removed | 1.45 | | 560980 | Photovoltaic Leading Stocks ETF GF | 4.34 | - | 5.41 | | 510010 | 180 Governance ETF Bank of Communications | 2.52 | - | -0.71 | | 159790 | Carbon Neutrality ETF | 16.63 | Removed | - | | - | ETF Portfolio Average Return | - | - | 2.18 | | 510300 | CSI 300 ETF | 2057.19 | - | 0.21 | | - | ETF Portfolio Excess Return | - | - | 1.97 | [11] Group 7: Timing Signal Explanation - The timing signal is a price - volume indicator. A value of 1 indicates a bullish signal, 0 indicates a neutral signal, and - 1 indicates a bearish signal [3]

Quantitative Models and Construction Methods 1. Model Name: Timing System Model - **Model Construction Idea**: The model uses the distance between the short-term moving average (20-day) and the long-term moving average (120-day) of the Wind All A Index to identify market trends and timing signals[2][7][12] - **Model Construction Process**: 1. Calculate the 20-day moving average and 120-day moving average of the Wind All A Index 2. Compute the distance between the two moving averages: $ Distance = \frac{MA_{20} - MA_{120}}{MA_{120}} $ 3. Define thresholds: If the absolute value of the distance is greater than 3%, it indicates a significant trend signal[7][12] 4. Incorporate additional metrics such as market trend line (6796 points) and profitability effect (-0.02%) to refine the signal[7][12] - **Model Evaluation**: The model effectively captures market oscillations and provides actionable timing signals during periods of market uncertainty[7][12] 2. Model Name: Mid-term Industry Allocation Model - **Model Construction Idea**: This model identifies industries with strong performance potential based on earnings trends and macroeconomic factors[6][8][13] - **Model Construction Process**: 1. Analyze earnings trends across industries to identify sectors with upward momentum 2. Incorporate macroeconomic indicators and policy drivers to refine sector selection 3. Highlight key sectors such as computing power (e.g., semiconductor equipment, communication), cyclical industries (e.g., oil and gas, energy chemicals), and agriculture[6][8][13] - **Model Evaluation**: The model provides a robust framework for sector rotation and aligns with defensive strategies during market uncertainty[6][8][13] --- Model Backtesting Results 1. Timing System Model - Moving average distance: 5.28% (greater than the 3% threshold)[7][12] - Market trend line: 6796 points[7][12] - Profitability effect: -0.02% (not yet positive)[7][12] 2. Mid-term Industry Allocation Model - Key sectors identified: - Computing power: Semiconductor equipment ETF (159516.SZ), Communication ETF (515880.SH) - Cyclical industries: Oil and gas ETF (159309.SZ), Energy chemicals ETF (159981.SH) - Agriculture: Agriculture ETF (562900.SH)[6][8][13] --- Quantitative Factors and Construction Methods 1. Factor Name: Moving Average Distance - **Factor Construction Idea**: Measures the relative distance between short-term and long-term moving averages to capture market momentum[7][12] - **Factor Construction Process**: 1. Calculate the 20-day and 120-day moving averages of the Wind All A Index 2. Compute the relative distance using the formula: $ Distance = \frac{MA_{20} - MA_{120}}{MA_{120}} $ 3. Use a threshold of 3% to determine significant signals[7][12] - **Factor Evaluation**: The factor is effective in identifying market trends and oscillations, providing a clear signal for timing decisions[7][12] --- Factor Backtesting Results 1. Moving Average Distance Factor - Current value: 5.28% (above the 3% threshold)[7][12]

Group 1 - The article highlights a significant shift in A-share market funding, characterized by a "cold-hot" dichotomy, with substantial inflows into the electric grid equipment sector and outflows from the oil and gas sector [2][4][6] - As of March 12, the electric grid equipment index-related ETFs saw a net inflow exceeding 6.7 billion yuan in the past week, while the oil and gas index ETFs experienced a similar outflow of approximately 6.7 billion yuan [2][4] - Analysts suggest that the current market is undergoing a structural adjustment rather than a complete capital exit, indicating a period of style convergence [2] Group 2 - The electric grid equipment sector is attracting significant investment due to rising expectations for new power system construction, with net inflows into related ETFs reaching 3.5 billion yuan on March 11 alone [4] - Major ETFs in the electric grid sector, such as the Huaxia Electric Grid Equipment ETF, have seen substantial net inflows, with the latest scale reaching 34.3 billion yuan [4] - The National Grid's investment plan during the 14th Five-Year Plan period is projected to be as high as 4 trillion yuan, accelerating the construction of major projects like ultra-high voltage and flexible direct current transmission [4] Group 3 - The explosive growth of AI computing power presents new challenges for the electric grid, with projections indicating that electricity consumption by computing centers in China could exceed 700 billion kWh by 2030, accounting for 5.3% of total electricity consumption [5] - The electric power index funds have shown significant growth, with the Huaxia Electric Grid Equipment ETF increasing over 40% year-to-date [5] - The sustainability of this growth is under observation, as rapid capital inflows may lead to increased short-term trading congestion [5] Group 4 - The oil and gas sector is experiencing significant capital outflows, with the Guotai Junan Oil ETF seeing the largest net outflow of 3.6 billion yuan in the past week [7] - Analysts attribute the decline in the oil and gas sector to profit-taking after prior strong performance and a market shift towards technology growth and new productive forces [7][8] - Recent geopolitical tensions have caused volatility in oil prices, with Brent crude oil futures reaching nearly $120 per barrel before a rapid decline [8] Group 5 - The article concludes that escalating conflicts have led to a decrease in global risk appetite, prompting a shift of funds from high-valuation growth stocks to defensive sectors like electricity and utilities [9] - The intensification of geopolitical conflicts has heightened global concerns over energy security, accelerating the push for energy independence and benefiting the electric grid and power equipment sectors [9]

Group 1 - The oil and gas ETF Huatai Fuhua (159309) opened down 0.80%, priced at 1.484 yuan [1] - Major holdings in the ETF include China National Petroleum Corporation down 0.64%, China National Offshore Oil Corporation down 0.77%, and Sinopec down 0.31% [1] - The ETF's performance benchmark is the CSI Oil and Gas Resource Index return rate, managed by Huatai Fuhua Fund Management Co., Ltd. [1] Group 2 - Since its establishment on May 31, 2024, the ETF has returned 49.55%, with a one-month return of 16.14% [1]

Group 1 - The core viewpoint of the article highlights the performance of the oil and gas ETF, Huatai-PineBridge (159309), which rose by 0.27% to 1.500 yuan with a trading volume of 52.24 million yuan as of the midday close [1] - The major holdings of the oil and gas ETF include China National Petroleum Corporation, which fell by 1.18%, China National Offshore Oil Corporation down by 2.17%, and China Petroleum & Chemical Corporation down by 0.61% [1] - Other notable stock performances include Jereh Oilfield Services rising by 5.30%, China Merchants Energy up by 4.34%, and Zhongyuan Shipping increasing by 1.54% [1] Group 2 - The performance benchmark for the oil and gas ETF is the CSI Oil and Gas Resource Index return rate, managed by Huatai-PineBridge Fund Management Co., Ltd., with a return of 49.55% since its establishment on May 31, 2024, and a return of 16.14% over the past month [1]

Market Overview - The A-share market experienced a strong opening on the first trading day after the Spring Festival, with all three major indices closing higher, indicating a positive sentiment among investors [2][3] - The trading volume exceeded 2 trillion yuan, with over 4,000 stocks rising, showcasing significant profit potential [2][3] Sector Performance - The oil and petrochemical sector led the market with a 5.53% increase, with multiple stocks hitting the daily limit [3] - Other strong performers included cultivated diamonds and optical modules, with notable stocks like Sifangda and Tianfu Communication showing impressive gains [3][4] ETF Market Dynamics - The ETF market saw a surge in trading volume, particularly for oil and gas-related products, with several ETFs recording gains of over 9.5% [4] - Technology-related ETFs also experienced significant increases in trading volume, reflecting heightened investor interest in sectors like AI and robotics [4][5] Investment Trends and Insights - Analysts predict a more diverse investment landscape in 2026, driven by macroeconomic cycles and technological innovations [2][6] - Key investment themes identified include AI and humanoid robotics, cyclical sectors like oil and petrochemicals, high-dividend stocks in banking and energy, and domestic consumption sectors [6][7] Institutional Interest - Several companies in the robotics industry have attracted significant institutional attention, with multiple rounds of research conducted by institutions [5] - Companies like Huichuan Technology and Anpeilong have been highlighted for their advancements in robotics, indicating strong future potential [5] Future Outlook - The overall sentiment remains optimistic for the A-share market, with expectations of a continued upward trend driven by structural highlights in various sectors [6][8] - The focus on technology growth, particularly in AI and semiconductors, is expected to present substantial investment opportunities moving forward [8]

Core Viewpoint - The oil and gas sector has shown strong performance, with multiple oil ETFs leading the market on the first trading day after the Spring Festival, reflecting a significant increase in investor interest and market activity [1][4][10]. ETF Performance Summary - On February 24, a total of 919 ETFs rose, with the highest increase reaching 9.73%. The leading oil ETFs included: - The S&P Oil & Gas ETF (513350) increased by 9.73%, with a trading volume of 1.117 billion and a turnover rate of 152.76% [2][8]. - The S&P Oil & Gas ETF by Harvest Fund (159518) rose by 9.66%, with a trading volume of 1.546 billion and a turnover rate of 99.88% [2][8]. - Other notable increases included the Silverhua Oil & Gas ETF (563150) at 9.53% and the Bosera Oil & Gas ETF (561760) at 8.42% [6][7]. Market Trends - The oil and gas sector's strong performance is attributed to geopolitical risks and a tight supply-demand situation, leading to a significant rise in related stock prices and indices [10]. - The market is currently driven by geopolitical factors rather than supply-demand dynamics, with expectations of high volatility in oil prices in the near term [10]. ETF Index Tracking - There are four main oil and gas indices tracked by ETFs in the domestic market: - CSI Oil and Gas Resource Index (931248) - CSI Oil and Gas Industry Index (H30198) - National Oil and Gas Index (399439) - S&P Oil & Gas Exploration and Production Select Industry Index (SPSIOP) [5][17]. - The ETFs tracking these indices have shown similar performance, with the same fee structure and relatively close year-to-date returns [19]. Investor Considerations - Investors are advised to be cautious as the S&P Oil & Gas ETF has issued a premium risk warning, indicating that its market price is significantly higher than its indicative net asset value (IOPV), which could lead to potential losses if investments are made blindly [10].

Market Overview - The A-share market experienced a strong opening on the first trading day after the Spring Festival, with all three major indices closing higher, indicating a positive sentiment among investors [1][2] - The trading volume exceeded 2 trillion yuan, with over 4,000 stocks rising, showcasing significant profit potential [1][2] Sector Performance - The oil and petrochemical sector led the market with a 5.53% increase, with multiple stocks hitting the daily limit [2] - Other strong performers included the cultivated diamond and optical module sectors, with notable stocks like Sifangda and Tianfu Communication showing impressive gains [2][3] ETF Market Dynamics - The enthusiasm in the oil and gas sector translated into strong performance for related ETFs, with several products seeing gains of over 9.5% [2] - Technology-related ETFs, particularly those tracking AI and software, also saw a significant increase in trading volume, with some doubling their transaction amounts [3] Institutional Interest - The robotics sector has garnered significant attention from institutional investors, with multiple companies in the industry receiving numerous inquiries [4] - Companies like Huichuan Technology and Anpeilong have been highlighted for their advancements in robotics, attracting institutional focus [4] Future Investment Trends - Analysts predict a more diverse investment landscape in 2026, driven by macroeconomic cycles and technological innovations [1][6] - Key investment themes include AI and humanoid robotics, cyclical commodities like oil and gas, high-dividend sectors such as banking and energy, and domestic consumption in automotive and home appliance sectors [6][7] AI and Technology Focus - The technology sector remains a focal point for investment, with expectations for breakthroughs in AI and semiconductors to drive future opportunities [7][8] - The potential for significant advancements in AI is seen as a critical factor for the growth of the industry, with current market perceptions possibly underestimating its development potential [8]

ETF Industry News - The three major indices collectively rose, with oil and gas ETFs leading the gains. The Shanghai Composite Index increased by 0.87%, the Shenzhen Component Index by 1.36%, and the ChiNext Index by 0.99%. Notably, oil and gas ETFs such as Yinhua (563150.SH) rose by 9.53%, Bosera (561760.SH) by 8.42%, and Huatai-PB (159309.SZ) by 7.72% [1][4][13] - Concerns over reduced oil and gas supply due to geopolitical conflicts have led to a rise in oil prices. However, the recovery in oil service sector sentiment is expected to take at least six months to materialize [1][4] Fund Performance - A total of 481 funds that reported negative returns last year have turned positive in net value growth this year, with 19 funds showing a difference of over 20 percentage points. The majority of these funds are medium to long-term pure bond funds and mixed equity funds, accounting for 57.1% and 10.6% respectively [2] Storage Industry Insights - SK Hynix has indicated that the global memory chip industry has shifted to a seller's market, with price increases expected to continue throughout 2026. The HuaTai-PB China-Korea Semiconductor ETF has seen a year-to-date increase of 25.65% [3] - Investment opportunities in the semiconductor supply chain, particularly in high-end equipment and key components, are anticipated to be significant in 2026, providing market resilience and certainty [3] Market Overview - The overall performance of ETFs shows that commodity ETFs had the best average daily increase of 3.36%, while cross-border ETFs had the worst performance with an average decline of 0.49% [10] - The top-performing ETFs today included oil and gas ETFs, with significant gains noted for Yinhua, Bosera, and Huatai-PB [13] Trading Activity - The top three ETFs by trading volume were the A500 ETF Fund (512050.SH) with a trading volume of 8.372 billion, A500 ETF Huatai-PB (563360.SH) with 7.928 billion, and the China A500 ETF (159338.SZ) with 6.344 billion [16]