Quantitative Models and Construction Methods 1. Model Name: Market Sentiment Timing Model - **Model Construction Idea**: This model is designed to quantify market sentiment using a structured approach, incorporating multiple sub-indicators to assess the overall sentiment direction [7][8] - **Model Construction Process**: 1. Sub-indicators used include: industry trading volatility, industry trading congestion, price-volume consistency, Sci-Tech 50 trading proportion, industry trend, RSI, main buying force, PCR combined with VIX, and financing balance proportion [8] 2. Each sub-indicator is scored based on its sentiment direction and position within Bollinger Bands, with scores categorized as (-1, 0, 1) [8] 3. The final sentiment structure indicator is calculated as the 20-day moving average of the summed scores, oscillating around the zero axis within the range of [-6, 6] [8] - Formula: $ \text{Sentiment Indicator} = \text{20-day MA of (Sum of Sub-indicator Scores)} $ - **Model Evaluation**: The model effectively captures market sentiment fluctuations, with significant sentiment recovery observed since April 2024 [8][9] 2. Model Name: Moving Average Sequence Scoring (MASS) Model - **Model Construction Idea**: This model evaluates the long-term and short-term trends of indices by analyzing the relative positions of moving averages over different time horizons [20] - **Model Construction Process**: 1. For a given period \( N \) (e.g., \( N=360 \) for long-term, \( N=60 \) for short-term), calculate scores for \( N \) moving averages [20] 2. If a shorter moving average \( k \) is above the longer moving average \( k+1 \), assign a score of 1; otherwise, assign 0 [20] 3. Normalize the scores to a range of 0-100 and compute the average score for the index at a specific time point [20] 4. Calculate the 100-day and 20-day moving averages of the trend scores to generate buy/sell signals [20] - Formula: $ \text{Trend Score} = \frac{\text{Sum of Scores}}{N} \times 100 $ - **Model Evaluation**: The model provides clear signals for trend reversals, with recent results indicating a shift towards growth-oriented sectors [20][21] 3. Model Name: RSI Style Timing Model - **Model Construction Idea**: This model uses the Relative Strength Index (RSI) to evaluate the relative strength of different market styles (e.g., growth vs. value, small-cap vs. large-cap) [24] - **Model Construction Process**: 1. Calculate the net value ratio of two style indices (e.g., growth/value) over a fixed period [24] 2. Compute the RSI using the formula: $ \text{RSI} = 100 - \frac{100}{1 + \frac{\text{Average Gain}}{\text{Average Loss}}} $ - Where "Gain" represents average positive changes, and "Loss" represents average negative changes over \( N \) days [24] 3. Compare the 20-day RSI with the 60-day RSI to determine the dominant style [24] - **Model Evaluation**: The model indicates a clear shift from large-cap value to small-cap growth styles, with strong confirmation from recent RSI trends [24][27] --- Model Backtesting Results 1. Market Sentiment Timing Model - Sentiment Indicator Value: 1.5 as of May 9, 2025, indicating a positive sentiment recovery [9] 2. Moving Average Sequence Scoring (MASS) Model - Short-term signals: Positive for indices such as CSI 300, CSI A500, and ChiNext, with short-term scores ranging from 33.90 to 40.68 [36] - Long-term signals: Positive for most indices, with long-term scores exceeding 66.57 for indices like ChiNext [36] 3. RSI Style Timing Model - Growth/Value RSI: Growth-dominant with RSI values of 57.91 (short-term) and 55.24 (long-term) for the CSI Growth/Value index [27] - Small/Large Cap RSI: Small-cap dominant with RSI values of 59.84 (short-term) and 60.16 (long-term) for the Small/Large Cap index [27] --- Quantitative Factors and Construction Methods 1. Factor Name: Price-Volume Consistency - **Factor Construction Idea**: Measures the stability of market sentiment based on the alignment of price and volume movements [8] - **Factor Construction Process**: 1. Calculate the correlation between price changes and trading volume over a fixed period [8] 2. Assign scores based on the strength of the correlation, with higher scores indicating stronger consistency [8] - **Factor Evaluation**: The factor showed significant improvement in recent weeks, contributing to the overall sentiment recovery [11][16] 2. Factor Name: RSI - **Factor Construction Idea**: Reflects the relative strength of buying vs. selling pressure over a specific period [24] - **Factor Construction Process**: 1. Compute average gains and losses over \( N \) days [24] 2. Use the RSI formula to calculate the index value [24] - **Factor Evaluation**: RSI values above 50 indicate strong buying pressure, with recent results favoring growth and small-cap styles [24][27] --- Factor Backtesting Results 1. Price-Volume Consistency - Recent Score: Increased to 1 as of May 9, 2025, indicating improved alignment between price and volume [12] 2. RSI - Growth/Value RSI: Growth-dominant with short-term RSI of 57.91 [27] - Small/Large Cap RSI: Small-cap dominant with short-term RSI of 59.84 [27]

Group 1 - The three major indices opened lower but closed higher, with the Shanghai Composite Index rising by 0.45% and the CSI A500 Index increasing by 0.56% [1] - The semiconductor sector experienced a significant surge, along with strong performances in the automotive, precious metals, and non-metal materials sectors [1] - The A500 ETF (512050) rose by 0.67% with a daily trading volume exceeding 2.8 billion yuan, ranking first among its peers [1] Group 2 - The market saw substantial capital inflow, with the Shanghai Composite Index achieving four consecutive days of gains, and the A500 ETF accumulating nearly 6.1% over the past four trading days [1] - In the week from April 7 to April 11, the total net inflow into stock ETFs across the market was approximately 170 billion yuan [1] - According to a report from CITIC Securities, April's domestic policy response is expected to focus on prevention and pilot programs, with a larger policy expansion anticipated mid-year [1]

Key Points - The article highlights two critical time points in 2025: the trading opportunities arising from external risk resolution in early April and the allocation opportunities following the synchronization of the economic and policy cycles between China and the U.S. in mid-year [2][3] - The technology sector is expected to be a strong focus for investment in April and May, following significant adjustments in March and potential catalysts [3] - The article emphasizes the importance of focusing on core assets in A-shares and Hong Kong stocks, as the market is anticipated to undergo a significant style shift due to the recovery of traditional core assets [3] - The deep-sea technology sector is recognized as a strategic emerging industry, with government support expected to accelerate its development, similar to the low-altitude economy and commercial aerospace sectors [6][9] - Investment opportunities in the deep-sea technology industry are identified across the entire supply chain, including upstream core components, midstream equipment, and downstream operations and services [6] - The article suggests that the deep-sea technology sector could open up a new trillion-level market, driven by both market and policy catalysts [6][9] - The focus on stable earnings and low-valuation themes is recommended, particularly in low-tier consumption, AI+ themes, and commercial aerospace [3][9] - The potential risks include intensified U.S.-China friction, geopolitical conflicts, and domestic policy implementation falling short of expectations [4][10]

Core Viewpoint - The A-share market is experiencing fluctuations, with the Hong Kong stock market facing significant declines, particularly in the technology sector, leading to a potential style switch in investment focus [1][3][8]. Market Performance - The A-share market saw a trading volume of less than 1.3 trillion, with sectors like coal, electricity, and banking showing strength, while semiconductor, communication, and automotive sectors faced collective adjustments [2][8]. - The Hong Kong stock market, particularly the Hang Seng Technology Index, dropped over 3%, with Xiaomi's stock falling more than 6%, indicating a significant impact on market sentiment [3][6]. Fund Flows - Despite the market's downturn, over 11 billion was invested in stock ETFs over two trading days, indicating that funds are taking advantage of the market correction [12][14]. - The inflow of funds was particularly notable in ETFs tracking the Sci-Tech 50, A500 index, and sectors like healthcare and artificial intelligence [14][15]. Sector Analysis - The technology sector's decline is attributed to external factors, including volatility in overseas markets, particularly among U.S. tech giants, which has led to a contraction in risk appetite [8][18]. - Analysts suggest that as the market approaches the earnings reporting season, there will be a greater focus on performance verification, leading to a potential shift towards sectors with stronger earnings certainty, such as consumer goods and pharmaceuticals [8][17]. Investment Strategy - The current market environment suggests a rotation towards sectors that are undervalued and have potential policy catalysts, with a focus on banking, insurance, and consumer sectors like healthcare and home appliances [20][21]. - Historical data indicates that the consumer sector tends to perform well in the second quarter, with specific industries like food and beverage, home appliances, and automotive showing strong average gains [17][18].

Macro Environment - The macroeconomic environment significantly influences the growth theme market, with a stable macroeconomic environment since the beginning of 2025 providing a conducive space for theme market development [2][3] - In early 2023, the adjustment of pandemic policies led to a rapid release of pent-up demand, creating a "strong expectation, weak reality" macro environment that improved market risk appetite and supported the ChatGPT theme market [2] - By early 2024, economic recovery momentum weakened, leading to a constrained space for the SORA theme market due to pressures from slowing consumption recovery and real estate investment [2] - The current macro environment characterized by "steady recovery + policy support" has led to a neutral overall expectation for economic growth, which is favorable for the further development of the current technology theme market [2][3] Style Switching - Sustainable fundamental expectations are necessary for the further expansion of the market, as seen in the divergence between the ChatGPT theme and growth/profitability styles in 2023 [3][4] - The SORA market in 2024 differed from the previous round as market expectations for net profit growth in the AI sector significantly increased, leading to a simultaneous strengthening of growth styles [3][4] - The strong performance of defensive styles such as dividends and low valuations from 2022 to mid-2024 impacted the theme market, with the ChatGPT theme failing to boost growth styles [4] - The current growth style has shown strength after a pullback in January, with a high degree of industry diffusion, suggesting a potential extension of the current market duration while monitoring the rebound of defensive styles [4]