- The "Timing Radar Six-Facet Chart" model is constructed based on multi-dimensional indicators including liquidity, economic fundamentals, valuation, capital flow, technical trends, and crowding sentiment. It aggregates 21 indicators into four categories: "Valuation Cost-Effectiveness," "Macroeconomic Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a comprehensive timing score ranging from [-1, 1] to assess market conditions [1][6][9] - **Liquidity Factors**: - **Monetary Direction Factor**: Calculated using the average change in central bank monetary policy tool rates and short-term market rates over the past 90 days. If the factor > 0, monetary policy is deemed expansionary; if < 0, it is deemed contractionary. Current score: 1 [12][14] - **Monetary Strength Factor**: Based on the "interest rate corridor" concept, calculated as deviation = DR007/7-year reverse repo rate - 1, smoothed and standardized using z-score. If the factor < -1.5 standard deviations, it indicates a 120-day future easing environment, scoring 1; if > 1.5 standard deviations, scoring -1. Current score: 0 [15][16] - **Credit Direction Factor**: Derived from monthly long-term loan data, calculated as the year-on-year change in the past 12 months' increment. If the factor rises compared to three months ago, it scores 1; otherwise, -1. Current score: 1 [18][20] - **Credit Strength Factor**: Captures whether credit metrics significantly exceed or fall short of expectations, calculated as (new RMB loans - median forecast)/forecast standard deviation. If the factor > 1.5 standard deviations, it scores 1; if < -1.5 standard deviations, it scores -1. Current score: -1 [22][23] - **Economic Factors**: - **Growth Direction Factor**: Based on PMI data (manufacturing, non-manufacturing, and Caixin manufacturing PMI), calculated as the year-on-year change in the 12-month average. If the factor rises compared to three months ago, it scores 1; otherwise, -1. Current score: -1 [26][28] - **Growth Strength Factor**: Captures whether growth metrics significantly exceed or fall short of expectations, calculated as (PMI - median forecast)/forecast standard deviation. If the factor > 1.5 standard deviations, it scores 1; if < -1.5 standard deviations, it scores -1. Current score: 1 [29][31] - **Inflation Direction Factor**: Calculated as 0.5 × smoothed CPI year-on-year + 0.5 × raw PPI year-on-year. If the factor decreases compared to three months ago, it scores 1; otherwise, -1. Current score: -1 [32][33] - **Inflation Strength Factor**: Captures whether inflation metrics significantly exceed or fall short of expectations, calculated as the average of CPI and PPI forecast deviations. If the factor < -1.5, it scores 1; if > 1.5 standard deviations, it scores -1. Current score: -1 [35][37] - **Valuation Factors**: - **Shiller ERP**: Calculated as 1/Shiller PE - 10-year government bond yield, standardized using z-score over the past six years. Current score: -0.10 [38][42] - **PB**: Processed as PB × (-1), standardized using z-score over the past six years, truncated at ±1.5 standard deviations. Current score: -0.75 [40][41] - **AIAE**: Represents aggregate investor allocation to equities, calculated as total market cap/(total market cap + total debt), standardized using z-score over the past six years. Current score: -1.00 [43][44] - **Capital Flow Factors**: - **Margin Financing Increment**: Calculated as the difference between 120-day average increment and 240-day average increment of margin financing balance. If the short-term increment exceeds the long-term increment, it scores 1; otherwise, -1. Current score: 1 [46][48] - **Turnover Trend**: Calculated as log turnover moving average distance = ma120/ma240 - 1. If the maximum distance of 10, 30, and 60 days is positive, it scores 1; if the minimum distance is negative, it scores -1. Current score: 1 [49][50] - **China Sovereign CDS Spread**: Represents overseas investors' pricing of China's economic and sovereign credit risk. If the smoothed 20-day difference of CDS spread < 0, it scores 1; otherwise, -1. Current score: 1 [52][54] - **Overseas Risk Aversion Index**: Captures overseas market risk preference using Citi RAI Index. If the smoothed 20-day difference < 0, it scores 1; otherwise, -1. Current score: -1 [55][56] - **Technical Factors**: - **Price Trend**: Calculated as moving average distance (ma120/ma240 - 1). Trend direction scores 1 if > 0, otherwise -1. Trend strength scores 1 if max(20) = max(60), otherwise -1. Comprehensive score = (direction score + strength score)/2. Current score: 1 [57][59] - **New Highs and Lows**: Calculated as the moving average of the difference between new lows and new highs among index constituents over the past year. If the smoothed difference > 0, it scores -1; otherwise, 1. Current score: -1 [60][62] - **Crowding Sentiment Factors**: - **Option Implied Premium**: Derived from the implied premium of options based on put-call parity. If 50ETF 5-day return > 0 and percentile > 70%, it scores -1; otherwise, 1. Current score: -1 [64][68] - **Option VIX**: Reflects expected volatility of options. If 50ETF 5-day return > 0 and percentile > 70%, it scores -1; otherwise, 1. Current score: -1 [65][67] - **Option SKEW**: Reflects expected skewness of options. If 50ETF 5-day return > 0 and percentile < 30%, it scores -1; otherwise, 1. Current score: -1 [69][70] - **Convertible Bond Pricing Deviation**: Calculated as (convertible bond price/model price - 1), standardized using z-score over the past three years. Higher deviation indicates higher crowding sentiment, scoring lower. Current score: -1 [71][72] - **Factor Testing Results**: - Liquidity factors: Monetary direction (1), Monetary strength (0), Credit direction (1), Credit strength (-1) [12][15][18][22] - Economic factors: Growth direction (-1), Growth strength (1), Inflation direction (-1), Inflation strength (-1) [26][29][32][35] - Valuation factors: Shiller ERP (-0.10), PB (-0.75), AIAE (-1.00) [38][40][43] - Capital flow factors: Margin financing increment (1), Turnover trend (1), China Sovereign CDS spread (1), Overseas risk aversion index (-1) [46][49][52][55] - Technical factors: Price trend (1), New highs and lows (-1) [57][60] - Crowding sentiment factors: Option implied premium (-1), Option VIX (-1), Option SKEW (-1), Convertible bond pricing deviation (-1) [64][65][69][71]

Quantitative Models and Construction - **Model Name**: Timing Radar Six-Dimensional Framework **Model Construction Idea**: The model integrates multi-dimensional indicators to assess equity market performance, categorizing them into four major dimensions: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Funds & Trends," and "Crowdedness & Reversal," generating a composite timing score within [-1,1] range [1][6][9] **Model Construction Process**: 1. Select 21 indicators across liquidity, economic fundamentals, valuation, funds, technical trends, and crowdedness dimensions [1][6] 2. Aggregate these indicators into four categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Funds & Trends," and "Crowdedness & Reversal" [1][6] 3. Calculate a composite timing score within the range [-1,1] based on the aggregated indicators [1][6] **Model Evaluation**: Provides a comprehensive view of market conditions, but its effectiveness depends on stable market environments [1][6] Quantitative Factors and Construction Liquidity Factors - **Factor Name**: Monetary Direction Factor **Factor Construction Idea**: Measures the direction of monetary policy based on changes in policy rates and short-term market rates [12] **Factor Construction Process**: 1. Calculate the average change in policy rates and short-term market rates over the past 90 days 2. If the factor > 0, monetary policy is considered loose; if < 0, monetary policy is considered tight [12] **Factor Evaluation**: Effectively captures monetary policy trends [12] - **Factor Name**: Monetary Strength Factor **Factor Construction Idea**: Represents the deviation of short-term market rates from policy rates using the "interest rate corridor" concept [15] **Factor Construction Process**: 1. Compute deviation = DR007/7-year reverse repo rate - 1 2. Smooth and standardize the deviation using z-score 3. Assign scores: <-1.5 SD = 1 (loose environment), >1.5 SD = -1 (tight environment) [15] **Factor Evaluation**: Captures short-term liquidity deviations effectively [15] - **Factor Name**: Credit Direction Factor **Factor Construction Idea**: Reflects the transmission of credit from banks to the real economy [18] **Factor Construction Process**: 1. Use monthly long-term loan data 2. Calculate past 12-month increments and year-over-year changes 3. Compare with three months prior: upward trend = 1, downward trend = -1 [18] **Factor Evaluation**: Provides insights into credit transmission trends [18] - **Factor Name**: Credit Strength Factor **Factor Construction Idea**: Measures whether credit indicators significantly exceed or fall short of expectations [21] **Factor Construction Process**: 1. Compute deviation = (new RMB loans - median forecast)/forecast SD 2. Assign scores: >1.5 SD = 1 (credit exceeds expectations), <-1.5 SD = -1 (credit falls short) [21] **Factor Evaluation**: Captures unexpected credit changes effectively [21] Economic Factors - **Factor Name**: Growth Direction Factor **Factor Construction Idea**: Based on PMI data to assess economic growth trends [23] **Factor Construction Process**: 1. Use PMI data (manufacturing, non-manufacturing, Caixin manufacturing) 2. Calculate past 12-month averages and year-over-year changes 3. Compare with three months prior: upward trend = 1, downward trend = -1 [23] **Factor Evaluation**: Reflects economic growth trends effectively [23] - **Factor Name**: Growth Strength Factor **Factor Construction Idea**: Measures whether economic growth indicators significantly exceed or fall short of expectations [26] **Factor Construction Process**: 1. Compute deviation = (PMI - median forecast)/forecast SD 2. Assign scores: >1.5 SD = 1 (growth exceeds expectations), <-1.5 SD = -1 (growth falls short) [26] **Factor Evaluation**: Captures unexpected economic growth changes effectively [26] - **Factor Name**: Inflation Direction Factor **Factor Construction Idea**: Assesses inflation trends based on CPI and PPI data [28] **Factor Construction Process**: 1. Compute inflation direction = 0.5 × smoothed CPI YoY + 0.5 × raw PPI YoY 2. Compare with three months prior: downward trend = 1, upward trend = -1 [28] **Factor Evaluation**: Reflects inflation trends effectively [28] - **Factor Name**: Inflation Strength Factor **Factor Construction Idea**: Measures whether inflation indicators significantly exceed or fall short of expectations [30] **Factor Construction Process**: 1. Compute deviation = (CPI/PPI - median forecast)/forecast SD 2. Assign scores: <-1.5 SD = 1 (inflation falls short), >1.5 SD = -1 (inflation exceeds expectations) [30] **Factor Evaluation**: Captures unexpected inflation changes effectively [30] Valuation Factors - **Factor Name**: Shiller ERP **Factor Construction Idea**: Adjusts earnings for inflation to assess market valuation [31] **Factor Construction Process**: 1. Compute Shiller PE = average inflation-adjusted earnings over the past six years 2. Calculate Shiller ERP = 1/Shiller PE - 10-year bond yield 3. Standardize using z-score over the past six years [31] **Factor Evaluation**: Provides a robust valuation metric [31] - **Factor Name**: PB **Factor Construction Idea**: Standardizes PB to assess market valuation [35] **Factor Construction Process**: 1. Compute PB × (-1) 2. Standardize using z-score over the past six years 3. Truncate at ±1.5 SD and normalize to ±1 range [35] **Factor Evaluation**: Effectively captures valuation trends [35] - **Factor Name**: AIAE **Factor Construction Idea**: Reflects market-wide equity allocation and risk appetite [37] **Factor Construction Process**: 1. Compute AIAE = total equity market cap/(total equity market cap + total debt) 2. Multiply by (-1) and standardize using z-score over the past six years [37] **Factor Evaluation**: Captures market risk appetite effectively [37] Funds Factors - **Factor Name**: Margin Trading Increment **Factor Construction Idea**: Measures market leverage trends [40] **Factor Construction Process**: 1. Compute margin balance - short balance 2. Compare 120-day average increment with 240-day average increment: upward trend = 1, downward trend = -1 [40] **Factor Evaluation**: Reflects leverage trends effectively [40] - **Factor Name**: Turnover Trend **Factor Construction Idea**: Measures market activity and liquidity [43] **Factor Construction Process**: 1. Compute log turnover moving average distance = ma120/ma240 - 1 2. Assign scores: max(10/30/60) = 1, min(10/30/60) = -1 [43] **Factor Evaluation**: Captures market activity effectively [43] - **Factor Name**: China Sovereign CDS Spread **Factor Construction Idea**: Reflects foreign investors' sentiment toward China's credit risk [47] **Factor Construction Process**: 1. Compute smoothed CDS spread 20-day difference 2. Assign scores: <0 = 1 (positive sentiment), >0 = -1 (negative sentiment) [47] **Factor Evaluation**: Captures foreign sentiment effectively [47] - **Factor Name**: Overseas Risk Aversion Index **Factor Construction Idea**: Reflects global market risk appetite [49] **Factor Construction Process**: 1. Compute smoothed risk aversion index 20-day difference 2. Assign scores: <0 = 1 (positive sentiment), >0 = -1 (negative sentiment) [49] **Factor Evaluation**: Captures global risk appetite effectively [49] Technical Factors - **Factor Name**: Price Trend **Factor Construction Idea**: Measures market trend direction and strength [52] **Factor Construction Process**: 1. Compute moving average distance = ma120/ma240 - 1 2. Assign scores: >0 = 1 (upward trend), <0 = -1 (downward trend) 3. Combine trend direction and strength scores [52] **Factor Evaluation**: Captures market trends effectively [52] - **Factor Name**: New Highs and Lows **Factor Construction Idea**: Reflects reversal signals based on constituent stocks' highs and lows [54] **Factor Construction Process**: 1. Compute smoothed new lows - new highs

Summary of Conference Call Records Industry Overview - The A-share market sentiment index has significantly declined, indicating a risk of overheating, although it remains higher than last year's levels and comparable to the peaks of 2020-2021 [1][3] - The financing balance has seen substantial growth since September last year, reflecting a robust liquidity environment driven by low interest rates, despite a recent slight decrease [1][5] - A-share account openings have shown a moderate recovery, and the establishment of equity mixed funds has increased, but not to bull market levels [1][6] - The current price-to-earnings (P/E) ratio is comparable to the 2021 peak, but the implied risk premium is at historical averages, indicating no extreme values [1][7] Market Predictions - Short-term adjustments are expected due to trading overheating, with the Shanghai Composite Index potentially finding support at 3,600-3,700 points [1][8] - In the medium to long term, the low interest rate environment is expected to catalyze valuations, with a target for the Shanghai Composite Index reaching 7,400 points in Q4 [1][9] Sector Performance - High-performing sectors include non-ferrous metals, electric equipment, new energy, retail, and computers [1][10] - The telecommunications sector shows marginal improvements in return on equity (ROE), with significant profit growth, making it a favorable long-term investment [1][10] - The computer industry has shown a notable growth rate of 11.03% this year, indicating optimism among entrepreneurs [1][11] Investment Recommendations - A recommendation for small-cap growth style investments, focusing on sectors such as non-ferrous metals, telecommunications, retail, electric equipment, new energy, computers, banks, and non-bank financials [2][15] - A simulated portfolio has achieved a 50% absolute return and a 32% excess return since September 1, 2022, indicating effective investment strategies [2][16] Market Behavior and Sentiment - The sentiment index is constructed from various factors, including new highs and lows, trading volume, and financing balance, with recent declines in new highs and increases in new lows [3][4] - Market congestion indicators suggest that most sectors are in a crowded state, signaling a potential short-term peak, although the degree is lower than historical highs [1][14] Additional Insights - Institutional research focuses on retail, non-bank financials, and telecommunications, reflecting fund managers' interests and positioning [1][12] - The analysis of market congestion includes liquidity, cost dispersion, volatility, and component stock consistency, with many sectors currently showing signs of congestion [1][14] - Besides A-shares, attention is also given to gold and global assets, with regular updates on timing and asset allocation strategies [1][17]

Market Overview - The market returned to a volatile range from June 9-13, with the Wind All A closing at 5142.43, down 0.27% from June 6, while the China Convertible Bond Index fell 0.02%[8] - Since the beginning of 2025, the Wind All A has increased by 2.40%, and the China Convertible Bond Index has risen by 4.65%[8] External Factors - The second round of China-US trade talks and escalating Middle East tensions were key trading cues, leading to increased market volatility[2] - The US CPI data indicated limited impact from tariffs on prices, supporting expectations for a rate cut by the Federal Reserve, while geopolitical conflicts pushed oil prices higher[2][36] Strategy Insights - Following the second round of trade talks, market adjustment pressures stem from external uncertainties, particularly from the Middle East and potential changes in US tariff policies[3] - Historical data shows that after significant geopolitical conflicts, the Wind All A typically experiences a recovery around 14 trading days later, with technology and dividend sectors showing notable excess returns[3][39] Market Dynamics - The congestion level of the China 2000 index has decreased significantly, currently at the 79.3 percentile since September 2023, indicating improved structural issues in the small-cap market[16] - Investors are favoring industries with lower congestion levels while avoiding those with higher congestion, maintaining a "rotation thinking" approach in trading strategies[19][20] Convertible Bond Valuation - Convertible bond valuations have generally declined, particularly for crowded debt-type products, with the valuation center for 80 yuan parity dropping to 46.85%[23] - The valuation for 100 yuan parity has decreased to 26.37%, reflecting a broader trend of valuation adjustments in the convertible bond market[23][29]

Group 1 - The report indicates a slight recovery in trading volume in the Shanghai and Shenzhen markets, with daily trading amounts exceeding 1 trillion yuan over five trading days [2][9] - The newly established equity mutual fund shares saw a significant drop from 3.199 billion shares on Tuesday to 2.299 billion shares on Wednesday [2][9] - The proportion of trading in stock ETFs remained stable, fluctuating between 5% and 6% [2][9] Group 2 - The proportion of strong stocks increased, with over 30% of stocks classified as strong for five consecutive trading days [3][12] - The turnover rate of the broad-based index showed a downward trend, with the last trading day's turnover rate (MA20) dropping to 1.52%, at a percentile of 73.6% over the past two years [3][12] - The 14-day RSI for the entire A-share market rose, reaching 46.13 on Friday [3][12] Group 3 - The CSI 300 index rose by 0.38%, while the ChiNext index increased by 1.74% [4][30] - The automotive and beauty care sectors performed well, with net profit growth forecasts for the real estate and media industries being revised upward [4][30] - The Hang Seng Index increased by 2.74%, with southbound capital transaction volume accounting for 68.05% [4][30] Group 4 - The one-year cross-border RMB comparable interest rate fell to -0.00028, while the US dollar index rose to 99.5836 [4][31] - The report highlights that the stock-bond yield ratios for the entire A-share market, CSI 300, and the low-volatility dividend index are all near two standard deviations [3][12]

Group 1 - The overall trading volume in the Shanghai and Shenzhen markets fell below 1 trillion yuan, indicating a continued decline in market enthusiasm due to global uncertainties [2][8] - The newly established equity fund shares (MA10) rapidly decreased to 1.891 billion shares on the last trading day [2][8] - The proportion of trading volume from stock ETFs rose sharply, reaching 7.04% of total A-share trading volume on April 3 [2][8] Group 2 - The proportion of strong stocks continued to decline, with the strong stock ratio at 53.81% as of April 3 [3][11] - The turnover rate for the entire A-share market weakened, dropping below the 80th percentile [3][11] - The 14-day RSI for the entire A-share market fell to 38.49, indicating a weakening momentum [3][11] Group 3 - The CSI 300 index decreased by 1.37%, while the ChiNext index fell by 2.95% [24] - The public utility and agriculture sectors showed the highest gains among industries last week [24] - The low volatility and small-cap factors achieved significant excess returns last week [24] Group 4 - The Hang Seng Index dropped by 2.46%, but the T10 valuation level still holds an advantage over M7 [24][27] - The proportion of southbound trading volume surged to 65.49% [24][38] - The one-year cross-border RMB interest rate differential remained near zero, while the US dollar index fell to 102.92 [25][39]