- Model Name: Timing Radar Six-Factor Model; Model Construction Idea: The model is based on a multi-dimensional perspective to time the market, considering factors such as liquidity, economic conditions, valuation, capital flow, technical indicators, and crowding; Model Construction Process: The model selects 21 indicators from the aforementioned dimensions and categorizes them into four main categories: "Valuation Cost-Effectiveness," "Macroeconomic Fundamentals," "Capital & Trend," and "Crowding & Reversal." These indicators are then used to generate a comprehensive timing score ranging between [-1,1]; Model Evaluation: The model provides a comprehensive view of market conditions from multiple dimensions, offering a nuanced perspective on market timing[1][6][8] - Factor Name: Liquidity Direction Factor; Factor Construction Idea: This factor aims to determine the direction of current monetary policy; Factor Construction Process: The factor is calculated using the average change in central bank policy tool rates and short-term market rates over the past 90 days. If the factor is greater than 0, it indicates a loose monetary policy, and if less than 0, it indicates a tight monetary policy; Current View: This week, the liquidity direction factor is greater than 0, signaling a bullish signal with a score of 1[10][12] - Factor Name: Liquidity Strength Factor; Factor Construction Idea: This factor is based on the "interest rate corridor" concept to measure the deviation of short-term market rates from policy rates; Factor Construction Process: The factor is calculated as the deviation = DR007/7-year reverse repo rate - 1, smoothed and z-scored to form the liquidity strength factor. If the factor is less than -1.5 standard deviations, it indicates a loose environment for the next 120 trading days with a score of 1, and if greater than 1.5 standard deviations, it indicates a tight environment with a score of -1; Current View: This week, the liquidity strength factor score is 0, indicating a neutral signal[13][15] - Factor Name: Credit Direction Factor; Factor Construction Idea: This factor measures the tightness of credit transmission from commercial banks to the real economy; Factor Construction Process: The factor is calculated using the monthly value of medium and long-term loans, the incremental value over the past 12 months, and the year-over-year change. If the factor rises compared to three months ago, it signals a bullish view with a score of 1, and if it falls, it signals a bearish view with a score of -1; Current View: This week, the credit direction factor is identified as an upward trend, signaling a bullish view with a score of 1[16][18] - Factor Name: Credit Strength Factor; Factor Construction Idea: This factor captures whether credit indicators significantly exceed or fall short of expectations; Factor Construction Process: The factor is calculated as (new RMB loans for the month - median expectation) / standard deviation of expectations. If the factor is greater than 1.5 standard deviations, it indicates a significantly above-expectation environment for the next 60 trading days with a score of 1, and if less than -1.5 standard deviations, it indicates a significantly below-expectation environment with a score of -1; Current View: This week, the credit strength factor score is 0[20][22] - Factor Name: Growth Direction Factor; Factor Construction Idea: This factor is based on PMI data to measure the direction of economic growth; Factor Construction Process: The factor is calculated using the 12-month average of PMI data (including official manufacturing PMI, non-manufacturing PMI, and Caixin manufacturing PMI) and the year-over-year change. If the factor rises compared to three months ago, it signals a bullish view with a score of 1, and if it falls, it signals a bearish view with a score of -1; Current View: This week, the growth direction factor is identified as a downward trend, signaling a bearish view with a score of -1[23][25] - Factor Name: Growth Strength Factor; Factor Construction Idea: This factor captures whether economic growth indicators significantly exceed or fall short of expectations; Factor Construction Process: The factor is calculated as the PMI expectation deviation = (PMI - median expectation) / standard deviation of expectations. If the factor is greater than 1.5 standard deviations, it indicates a significantly above-expectation environment for the next 60 trading days with a score of 1, and if less than -1.5 standard deviations, it indicates a significantly below-expectation environment with a score of -1; Current View: This week, the growth strength factor score is -1, signaling a bearish view[26][28] - Factor Name: Inflation Direction Factor; Factor Construction Idea: This factor measures the current inflation level's impact on monetary policy; Factor Construction Process: The factor is calculated as 0.5 × smoothed CPI year-over-year value + 0.5 × raw PPI year-over-year value. If the factor decreases compared to three months ago, it indicates a downward inflation environment, signaling a bullish view with a score of 1, and if it increases, it signals a bearish view with a score of -1; Current View: This week, the inflation direction factor is identified as an upward trend, signaling a bearish view with a score of -1[29][31] - Factor Name: Inflation Strength Factor; Factor Construction Idea: This factor captures whether inflation indicators significantly exceed or fall short of expectations; Factor Construction Process: The factor is calculated as the average of CPI and PPI expectation deviations = (reported value - median expectation) / standard deviation of expectations. If the factor is less than -1.5, it indicates a significantly below-expectation environment for the next 60 trading days with a score of 1, and if greater than 1.5 standard deviations, it indicates a significantly above-expectation environment with a score of -1; Current View: This week, the inflation strength factor score is -1, signaling a bearish view[32][33] - Factor Name: Shiller ERP; Factor Construction Idea: This factor adjusts for economic cycle fluctuations in corporate earnings to assess current market valuation levels; Factor Construction Process: The factor is calculated using the average inflation-adjusted earnings over the past 6 years to compute the Shiller PE, then calculating Shiller ERP = 1 / Shiller PE - 10-year government bond yield, and z-scoring the past 6 years to obtain the score; Current View: This week, the Shiller ERP score is 0.05, up by 0.09 points[34][35][38] - Factor Name: PB; Factor Construction Idea: This factor follows a similar process to ERP for PB; Factor Construction Process: The factor is calculated as PB × (-1) and z-scored over the past 6 years, truncated at 1.5 standard deviations and standardized to a range of ±1; Current View: This week, the PB score is -0.57, up by 0.17 points[36][37] - Factor Name: AIAE; Factor Construction Idea: This factor reflects the overall market risk preference based on the aggregate investor allocation to equities; Factor Construction Process: The factor is calculated as AIAE = total market cap of CSI All Share Index / (total market cap of CSI All Share Index + total debt of the real economy), then AIAE × (-1) and z-scored over the past 6 years to obtain the score; Current View: This week, the AIAE score is -0.80, up by 0.20 points[39][40] - Factor Name: Margin Trading Increment; Factor Construction Idea: This factor measures market sentiment based on the source of leverage funds; Factor Construction Process: The factor is calculated as the difference between margin financing balance and margin securities balance, and the average increment over the past 120 days compared to the past 240 days. If the 120-day average increment is greater than the 240-day average increment, it signals a bullish view with a score of 1, and if less, it signals a bearish view with a score of -1; Current View: This week, the short-term margin trading increment is less than the long-term increment, signaling a bearish view with a score of -1[42][44] - Factor Name: Trading Volume Trend; Factor Construction Idea: This factor measures market trading activity and capital flow; Factor Construction Process: The factor is calculated as the log trading volume moving average distance = ma120 / ma240 - 1. If the max(10) = max(30) = max(60), it signals a bullish view with a score of 1, and if the min(10) = min(30) = min(60), it signals a bearish view with a score of -1; Current View: This week, the trading volume signal is neutral with a score of 0[45][47] - Factor Name: China Sovereign CDS Spread; Factor Construction Idea: This factor represents the pricing level of China's economic and sovereign credit risk by overseas investors; Factor Construction Process: The factor is calculated as the 20-day difference of the smoothed CDS spread. If the 20-day difference is less than 0, it signals a bullish view with a score of 1, and if greater than 0, it signals a bearish view with a score of -1; Current View: This week, the 20-day difference of the CDS spread is greater than 0, signaling a bearish view with a score of -1[48][50] - Factor Name: Overseas Risk Aversion Index; Factor Construction Idea: This factor captures overseas market risk preference; Factor Construction Process: The factor is calculated as the 20-day difference of the smoothed Citi RAI Index. If the 20-day difference is less than 0, it signals a bullish view with a score

Investment Rating - The report maintains an "Accumulate" rating for the real estate industry [1]. Core Insights - The report emphasizes the integration of AI and quantitative analysis in stock selection for the real estate sector, utilizing a dual-model framework that covers A-shares, Hong Kong stocks, and US stocks [4][10]. - The system employs a three-model architecture (DeepSeek V3.2, GLM-5, Kimi K2.5) to enhance stock rating accuracy by incorporating real-time policy updates and market dynamics [9][10]. - The report highlights the importance of a multi-source data collection strategy to ensure stable data availability for stock evaluations [4][10]. Summary by Sections 1. Project Overview - The project aims to create an intelligent stock selection system that combines AI technology with traditional quantitative and fundamental analysis to provide timely stock ratings in the real estate sector [9]. - The system is designed to address challenges such as information overload and rapid policy changes that traditional research methods struggle to manage [9]. 2. Real Estate Stock AI Selection Model - The system features two independent rating models: "Quantitative AI Selection" and "Dongwu Real Estate Selection," catering to different investor preferences [10]. - As of March 3, 2026, the system covers 61 real estate-related stocks across three major markets [10][17]. 3. Data Collection and Multi-source Downgrade - The system utilizes a four-layer data downgrade architecture to ensure data collection stability, switching to backup sources when primary data is unavailable [4][10]. - The AI model integrates real-time policy searches to reflect significant policy changes in stock ratings, with policy impact accounting for up to 35% of the rating [4][10]. 4. Technical Architecture Overview - The system employs a classic front-end and back-end separation architecture, ensuring efficient data processing and user interaction [11][13]. 5. Stock Coverage - The system covers a diverse range of real estate stocks, including developers, property management, and REITs, with a focus on financially healthy companies [18]. 6. AI Model Scoring - The AI scoring model is the most critical component, accounting for 50% of the overall rating, and is designed to analyze stocks as a seasoned analyst would [43][50]. - The model assesses various dimensions, including policy impact, company fundamentals, technical analysis, and market sentiment [50].

- The "Timing Radar Six-Dimensional Chart" is a multi-dimensional timing framework that evaluates the equity market using 21 indicators categorized into four dimensions: "Valuation Cost-Effectiveness," "Macroeconomic Fundamentals," "Funds & Trends," and "Crowdedness & Reversal" The comprehensive timing score is normalized to a range of [-1,1] [1][6][8] - The "Liquidity" dimension includes factors such as "Monetary Direction," "Monetary Strength," "Credit Direction," and "Credit Strength" For example, the "Monetary Direction Factor" is calculated based on the average change in central bank policy rates and short-term market rates over 90 days, with a positive value indicating monetary easing This week, the factor scored 1, signaling a bullish outlook [11][12][13] - The "Economic" dimension includes factors like "Growth Direction," "Growth Strength," "Inflation Direction," and "Inflation Strength" For instance, the "Growth Direction Factor" is derived from PMI data, calculating the 12-month average and year-over-year changes A downward trend in this factor this week resulted in a score of -1, indicating a bearish signal [23][24][25] - The "Valuation" dimension includes indicators such as "Shiller ERP," "PB," and "AIAE" The "Shiller ERP" is calculated as $ Shiller \ ERP = \frac{1}{Shiller \ PE} - 10 \ year \ bond \ yield $ normalized over six years This week, the score for Shiller ERP was -0.07, reflecting a slight decline [31][32][33] - The "Funds" dimension is divided into domestic and foreign capital indicators For example, the "Margin Trading Increment Factor" measures the difference between the 120-day and 240-day moving averages of margin trading balances This week, the factor scored 1, indicating a bullish signal [40][41][42] - The "Technical" dimension includes indicators like "Price Trend" and "New Highs and Lows" The "Price Trend Factor" is calculated using the moving average distance $ ma120/ma240-1 $ This week, the factor scored 1, signaling a positive trend [52][53][57] - The "Crowdedness" dimension includes derivative-based indicators such as "Option Implied Skewness (SKEW)" and "Convertible Bond Pricing Deviation" For instance, the "SKEW Factor" reflects market sentiment based on the skewness of option prices This week, the factor scored -1, indicating a bearish signal [64][65][67] - The comprehensive timing score for this week is -0.25, reflecting a neutral market outlook [6][8][9]

Core Insights - FXGT aims to enhance decision-making accuracy and efficiency in the rapidly changing foreign exchange market by integrating advanced quantitative analysis with market insights [1][11] - The company provides a robust decision support system designed to reduce emotional interference and improve strategy stability and execution efficiency, helping users navigate market volatility and seize potential opportunities [1][11] Group 1: Quantitative Analysis Features - FXGT employs rigorous mathematical models to deeply mine historical and real-time market data, facilitating information processing and pattern recognition [4] - The system can rapidly process structured and unstructured data, filtering noise and identifying overlooked market trends and cyclical patterns [4][7] - Users can simulate and validate preset strategy logic using historical data in a secure environment, allowing for strategy assessment and iterative optimization [4][7] Group 2: Risk Management and Objectivity - FXGT quantifies risk management principles by setting clear, data-driven parameters, aiding users in systematically controlling potential volatility impacts [7] - The quantitative models operate based on predefined rules, minimizing subjective emotional influences during decision-making, thus ensuring strict adherence to established strategies [7][11] Group 3: Accessibility and Customization - FXGT's quantitative tools lower the barrier for individual participants to engage with complex analyses, enabling users without extensive programming or mathematical backgrounds to construct, test, and execute their quantitative ideas [10] - For professional teams and institutions, FXGT offers deeper customization and efficiency improvements, integrating proprietary data sources and complex algorithmic strategies for large-scale parallel strategy testing [10] Group 4: Overall Impact on Market Participation - FXGT's quantitative analysis capabilities are transforming how users participate in the foreign exchange market, providing a comprehensive decision support system that combines data science, rigorous modeling, and practical insights [11] - The continuous evolution and application of quantitative analysis are positioned to empower market participants to make more precise decisions in a complex and dynamic environment [11]

- The "Timing Radar Six-Facet Chart" is a multi-dimensional timing framework that evaluates equity market performance based on liquidity, economic conditions, valuation, capital flow, technical trends, and crowding metrics. It aggregates 21 indicators into four categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a composite timing score ranging from [-1,1] [1][6][8] - Liquidity factors include "Monetary Direction Factor," which calculates the average change in monetary policy rates and short-term market rates over 90 days. A positive value indicates monetary easing, scoring 1 this week [10][11]. The "Monetary Strength Factor" uses the deviation of DR007 from the 7-year reverse repo rate, smoothed and standardized. This week, it scored 0, indicating a neutral signal [12][13]. The "Credit Direction Factor" evaluates the trend of medium-to-long-term loans over 12 months. A positive trend scores 1, which was observed this week [15][16]. The "Credit Strength Factor" measures the deviation of new RMB loans from expectations. This week, it scored -1, signaling a significant underperformance [18][19] - Economic factors include "Growth Direction Factor," derived from PMI data (manufacturing and non-manufacturing), calculating the 12-month average and year-over-year change. A downward trend scored -1 this week [20][21]. The "Growth Strength Factor" measures PMI deviations from expectations. This week, it scored -1, indicating significant underperformance [23][24]. The "Inflation Direction Factor" combines CPI and PPI data to assess inflation trends. An upward trend scored -1 this week [25][26]. The "Inflation Strength Factor" calculates CPI and PPI deviations from expectations. This week, it scored 0, indicating a neutral signal [27][31] - Valuation factors include "Shiller ERP," calculated as 1/Shiller PE minus the 10-year government bond yield, standardized over six years. This week, it scored -0.04, slightly improving [28][29]. The "PB Factor" uses the price-to-book ratio, standardized over six years, and scored -0.66 this week, showing a slight increase [32][33]. The "AIAE Factor" measures equity allocation relative to total market capitalization and debt, standardized over six years. This week, it remained at -1.00 [34][35] - Capital flow factors include "Margin Financing Increment," which compares the 120-day average increase in margin financing to the 240-day average. A positive trend scored 1 this week [37][39]. The "Trading Volume Trend" evaluates the logarithmic moving average distance of trading volume over 120 and 240 days. A positive trend scored 1 this week [40][42]. External capital flow indicators include "China Sovereign CDS Spread," which assesses the 20-day differential of CDS spreads. A positive differential scored -1 this week [44][45]. The "Overseas Risk Aversion Index" evaluates the 20-day differential of Citi RAI Index. A positive differential scored -1 this week [46][47] - Technical factors include "Price Trend," which uses moving average distances (120/240 days) to assess market trends and strength. This week, it scored 1, indicating a positive trend [49][50]. The "New Highs and Lows" metric evaluates the difference between new highs and lows among index constituents over the past year. A positive difference scored -1 this week [51][53] - Crowding metrics include "Option Implied Premium," derived from the implied premium in options markets. A positive signal scored -1 this week [55][59]. The "Option VIX Index" measures implied volatility expectations. A positive signal scored 1 this week [56][57]. The "Option SKEW Index" evaluates implied skewness in options markets. A positive signal scored -1 this week [60][62]. The "Convertible Bond Pricing Deviation" measures the deviation of convertible bond prices from model estimates, standardized over three years. A positive deviation scored -1 this week [63][64] - Composite timing score for this week is -0.30, indicating a neutral-to-bearish outlook [6][8][9]

- 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]

Core Insights - The article discusses the emergence of THPX signal source, which utilizes advanced quantitative analysis techniques to provide actionable predictive signals for the XAGBTC market, characterized by its complexity and high volatility [1][7]. Group 1: THPX Signal Source Overview - THPX is not merely a simple indicator but a comprehensive system that integrates data capture, intelligent processing, and forward-looking analysis to enhance users' understanding of XAGBTC's future trends [1][8]. - The system operates through three stages: multi-dimensional signal capture, intelligent processing and fusion, and forward-looking judgment output [3][5]. Group 2: Multi-Dimensional Signal Capture - THPX scans market data streams at a high frequency to extract potential value-changing signal factors, which may arise from subtle price movements or statistical anomalies within specific time windows [3]. Group 3: Intelligent Processing and Fusion - Captured signals undergo complex processing using advanced machine learning algorithms that automatically learn patterns, periodicities, and correlation rules from historical data, focusing on core information streams with predictive value [3][5]. Group 4: Forward-Looking Judgment Output - The processed information is transformed into clear, actionable market trend predictions, highlighting potential market directions, momentum changes, and key turning points [5][8]. - THPX enhances efficiency by automating data processing and complex calculations, significantly reducing the time required to convert information into insights [5][8]. Group 5: Value Proposition of THPX - THPX provides deeper insights by identifying subtle market patterns and early trend signals that traditional tools may overlook, allowing users to anticipate potential market movements [5][8]. - The clear and timely signal outputs serve as important reference points for decision-making, helping users align with market rhythms and maintain sensitivity during critical moments [5][8]. Group 6: Technological Empowerment - THPX represents a cutting-edge practice in market analysis empowered by modern quantitative technology, offering a scientific and systematic framework for understanding complex markets like XAGBTC [7][8]. - The development of THPX reflects a significant trend in financial technology, where market analysis is transitioning from empirical methods to highly intelligent and systematic approaches driven by big data and artificial intelligence [7][8].

Core Insights - The article discusses the application value of the THPX signal source in analyzing the silver (XAG) and gold (XAU) markets in conjunction with Bitcoin, leveraging advanced AI technology and quantitative models to provide forward-looking strategy references for market participants [1][7] - The system integrates multi-dimensional indicators and dynamic learning capabilities to effectively identify market characteristics and cyclical patterns, significantly enhancing the adaptability and stability of strategies in complex market conditions [1][7] Group 1: Data Processing Architecture - The core of the solution lies in a multi-layered data processing architecture, with the first layer focusing on deep integration of cross-market data sources, including real-time volatility data of precious metals and Bitcoin, as well as global macroeconomic indicators and market sentiment indices [3] - The second layer deploys adaptive feature engineering modules that utilize recurrent neural networks and convolutional networks to automatically identify cross-market correlation features, capturing key driving factors such as risk sentiment transmission and capital flow trends [3] Group 2: Dynamic Modeling Strategies - The system implements dynamic modeling strategies tailored to the different market characteristics of XAG/BTC and XAU/BTC, with the silver combination focusing on industrial attributes and inflation resilience, while the gold combination emphasizes its financial attributes and risk-hedging consensus [3][5] - This differentiated modeling mechanism ensures that signal generation aligns closely with the intrinsic logic of the target assets [3] Group 3: Validation Mechanism - The dual-engine validation mechanism is a technical highlight, tracking market state transition patterns through LSTM and constructing a feature importance evaluation matrix using ensemble learning methods to optimize factor weights during each strategy iteration [5] - The system features a real-time feedback loop that automatically adjusts parameters when actual market movements deviate from predicted thresholds, maintaining sensitivity to market structure changes [5] Group 4: Practical Application and Advantages - Practical application validation shows that the solution demonstrates unique advantages in handling cross-market linkage trends, capturing signs of capital migration from Bitcoin to the silver market during periods of increased volatility in precious metals [7] - The THPX signal source solution establishes effective analytical pathways for special market combinations like XAG/BTC and XAU/BTC, overcoming the limitations of traditional analytical tools in cross-market correlation [7]

- Model Name: Timing Radar Six-Factor Model; Model Construction Idea: The model attempts to capture the performance of the equity market through multiple dimensions, including liquidity, economic conditions, valuation, capital flows, technical indicators, and crowding; Model Construction Process: The model selects 21 indicators from the aforementioned dimensions and categorizes them into four major categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal." These indicators are then used to generate a comprehensive timing score ranging from [-1,1]; Model Evaluation: The model provides a comprehensive view of market conditions from multiple perspectives, making it a useful tool for market timing[1][6][9] - Factor Name: Liquidity Direction Factor; Factor Construction Idea: This factor aims to determine the direction of current monetary policy; Factor Construction Process: The factor is calculated using the average change in central bank policy rates and short-term market rates over the past 90 days. If the factor is greater than 0, it indicates a loose monetary policy, and if less than 0, it indicates a tight monetary policy; Current View: This week, the liquidity direction factor is greater than 0, signaling a bullish outlook, with a score of 1[11][13] - Factor Name: Liquidity Strength Factor; Factor Construction Idea: This factor is based on the "interest rate corridor" concept to measure the deviation of short-term market rates from policy rates; Factor Construction Process: The factor is calculated as the deviation = DR007/7-year reverse repo rate - 1, smoothed and z-scored. If the factor is less than -1.5 standard deviations, it indicates a loose environment for the next 120 trading days, with a score of 1. Conversely, if greater than 1.5 standard deviations, the score is -1; Current View: This week, the liquidity strength factor score is 0, indicating a neutral signal[14][15] - Factor Name: Credit Direction Factor; Factor Construction Idea: This factor measures the tightness of credit transmission from commercial banks to the real economy; Factor Construction Process: The factor is calculated using the monthly value of medium- and long-term loans, the incremental value over the past 12 months, and the year-over-year change. If the factor is rising compared to three months ago, it is bullish, with a score of 1. Conversely, if falling, the score is -1; Current View: This week, the credit direction factor is identified as an upward trend, signaling a bullish outlook, with a score of 1[17][19] - Factor Name: Credit Strength Factor; Factor Construction Idea: This factor captures whether credit indicators significantly exceed or fall short of expectations; Factor Construction Process: The factor is calculated as (new RMB loans for the month - median forecast) / forecast standard deviation. If the factor is greater than 1.5 standard deviations, it indicates a significantly above-expectation credit environment for the next 60 trading days, with a score of 1. Conversely, if less than -1.5 standard deviations, the score is -1; Current View: This week, the credit strength factor score is -1[20][22] - Factor Name: Growth Direction Factor; Factor Construction Idea: This factor is based on PMI data to measure economic growth direction; Factor Construction Process: The factor is calculated using the 12-month average of PMI values and their year-over-year change. If the factor is rising compared to three months ago, it is bullish, with a score of 1. Conversely, if falling, the score is -1; Current View: This week, the growth direction factor is identified as an upward trend, signaling a bullish outlook, with a score of 1[22][24] - Factor Name: Growth Strength Factor; Factor Construction Idea: This factor captures whether economic growth indicators significantly exceed or fall short of expectations; Factor Construction Process: The factor is calculated as (PMI - median forecast) / forecast standard deviation. If the factor is greater than 1.5 standard deviations, it indicates a significantly above-expectation growth environment for the next 60 trading days, with a score of 1. Conversely, if less than -1.5 standard deviations, the score is -1; Current View: This week, the growth strength factor score is -1, signaling a bearish outlook[25][26] - Factor Name: Inflation Direction Factor; Factor Construction Idea: This factor measures the current inflation level's impact on monetary policy; Factor Construction Process: The factor is calculated as 0.5 × smoothed CPI year-over-year value + 0.5 × raw PPI year-over-year value. If the factor is lower compared to three months ago, it indicates a downward inflation environment, with a score of 1. Conversely, if higher, the score is -1; Current View: This week, the inflation direction factor is identified as an upward trend, signaling a bearish outlook, with a score of -1[27][28] - Factor Name: Inflation Strength Factor; Factor Construction Idea: This factor captures whether inflation indicators significantly exceed or fall short of expectations; Factor Construction Process: The factor is calculated as the average of CPI and PPI forecast deviations, where forecast deviation = (reported value - median forecast) / forecast standard deviation. If the factor is less than -1.5, it indicates a significantly below-expectation inflation environment for the next 60 trading days, with a score of 1. Conversely, if greater than 1.5 standard deviations, the score is -1; Current View: This week, the inflation strength factor score is -1, signaling a bearish outlook[29][33] - Factor Name: Shiller ERP; Factor Construction Idea: This factor adjusts for economic cycle fluctuations in corporate earnings to assess current market valuation levels; Factor Construction Process: The factor is calculated as Shiller ERP = 1 / Shiller PE - 10-year government bond yield, with the past 6 years' z-score used as the score; Current View: This week, the Shiller ERP has risen, with the score increasing to 0.06[30][31] - Factor Name: PB; Factor Construction Idea: This factor adjusts the PB indicator similarly to ERP; Factor Construction Process: The factor is calculated as PB × (-1) and z-scored over the past 6 years, standardized to ±1 after 1.5 standard deviation truncation; Current View: This week, the PB has declined, with the score rising to -0.38[34][35] - Factor Name: AIAE; Factor Construction Idea: This factor reflects the overall market risk preference based on the aggregate investor allocation to equities; Factor Construction Process: The factor is calculated as AIAE = total market cap of CSI All Share Index / (total market cap of CSI All Share Index + total debt of the real economy), with the past 6 years' z-score used as the score; Current View: This week, the AIAE has declined, with the score rising to -0.72[36][37] - Factor Name: Margin Trading Increment; Factor Construction Idea: This factor measures market sentiment based on the source of leveraged funds; Factor Construction Process: The factor is calculated as the difference between the 120-day average increment and the 240-day average increment of margin trading balance. If the 120-day average increment is greater than the 240-day average increment, it is bullish, with a score of 1. Conversely, if less, the score is -1; Current View: This week, the short-term increment of margin trading is greater than the long-term increment, signaling a bullish outlook, with a score of 1[38][39] - Factor Name: Trading Volume Trend; Factor Construction Idea: This factor measures market activity and sentiment based on trading volume; Factor Construction Process: The factor is calculated as the moving average distance of log trading volume = ma120 / ma240 - 1. If the maximum of the moving average distance over 10, 30, and 60 days is positive, it is bullish, with a score of 1. Conversely, if the minimum is negative, the score is -1; Current View: This week, the trading volume trend signals a bullish outlook, with a score of 1[41][42] - Factor Name: China Sovereign CDS Spread; Factor Construction Idea: This factor represents the pricing level of China's economic and sovereign credit risk by overseas investors; Factor Construction Process: The factor is calculated as the 20-day difference of the smoothed CDS spread. If the difference is less than 0, it indicates a bullish outlook, with a score of 1. Conversely, if greater than 0, the score is -1; Current View: This week, the 20-day difference of the CDS spread is greater than 0, signaling a bearish outlook, with a score of -1[45][46] - Factor Name: Overseas Risk Aversion Index; Factor Construction Idea: This factor captures overseas market risk preference based on the Citi RAI Index; Factor Construction Process: The factor is calculated as the 20-day difference of the smoothed risk aversion index. If the difference is less than 0, it indicates a bullish outlook, with a score of 1. Conversely, if greater than 0, the score is -1; Current View: This week, the 20-day difference of the risk aversion index is less than 0, signaling a bullish outlook, with a score of 1[47][48] - Factor Name: Price Trend; Factor Construction Idea: This factor measures the market trend and strength based on moving average distance; Factor Construction Process: The factor is calculated as the moving average distance = ma120 / ma240 - 1. If the distance is greater than 0, the trend direction score is 1, otherwise -1. If the maximum of the distance over

- The report discusses the construction of the A-share prosperity index, which is based on the Nowcasting target of the year-on-year net profit of the Shanghai Composite Index's parent company. The index reflects the high-frequency prosperity trend of the A-share market. The current prosperity index is at 21.37, showing an increase of 15.95 compared to the end of 2023, indicating an upward cycle[30][33][34] - The A-share sentiment index is constructed by dividing the market into four quadrants based on the direction of changes in volatility and trading volume. Among these, the quadrant with rising volatility and declining trading volume shows significant negative returns, while the others show significant positive returns. The sentiment index includes bottom-warning and top-warning signals, with the current comprehensive signal being bullish[34][40][45] - The report applies the BARRA factor model to construct ten major style factors for the A-share market, including size (SIZE), beta (BETA), momentum (MOM), residual volatility (RESVOL), non-linear size (NLSIZE), valuation (BTOP), liquidity (LIQUIDITY), earnings yield (EARNINGS_YIELD), growth (GROWTH), and leverage (LVRG). Recent factor performance indicates that high-profitability stocks performed well, while leverage factors underperformed[60][61][62] - The pure factor returns for the past week show that industry factors such as non-ferrous metals, national defense, and telecommunications outperformed the market-cap-weighted portfolio, while banking and media factors experienced significant pullbacks. Among style factors, the earnings factor achieved high excess returns, while residual volatility showed significant negative excess returns[61][65][70] - The report evaluates the performance of enhanced index portfolios. The CSI 500 enhanced portfolio achieved a weekly return of 0.60%, underperforming the benchmark by 0.34%. Since 2020, the portfolio has generated an excess return of 49.21% relative to the CSI 500 index, with a maximum drawdown of -5.73%[48][50][52] - The CSI 300 enhanced portfolio achieved a weekly return of 1.40%, outperforming the benchmark by 0.12%. Since 2020, the portfolio has generated an excess return of 38.20% relative to the CSI 300 index, with a maximum drawdown of -5.86%[55][56][58]