1. Report Industry Investment Rating - No relevant information provided 2. Core Viewpoints - The proportion of long and short positions in commodities changed little this week. The factor strength of precious metals remained high, the energy sector declined slightly, and the agricultural products sector remained in a neutral and weak pattern. The precious metals sector was strong in the cross - section, while the black and agricultural products sectors were weak [3] - For methanol, the supply factor strengthened by 1.05% last week, the inventory factor increased by 1.12%, and the synthetic factor increased by 0.83%. This week, the comprehensive signal is long [5] - For iron ore, the supply factor increased by 0.05% last week, the inventory factor weakened by 0.06%, and the comprehensive factor decreased by 0.01%. This week, the comprehensive signal changed from neutral to short [14][15] - For aluminum, the supply factor increased by 0.74% last week, the demand factor strengthened by 0.88%, the inventory factor decreased by 0.19%, and the synthetic factor strengthened by 0.32%. This week, the comprehensive signal remained short [15] - For CTA, the supply factor weakened by 0.40% last week, the inventory factor strengthened by 0.56%, the profit factor decreased by 0.61%, and the synthetic factor decreased by 0.31%. This week, the comprehensive signal is neutral [17] 3. Summary by Related Catalogs Commodity Market Overview - The factor strength of precious metals remained high, the energy sector declined slightly, and the agricultural products sector remained in a neutral and weak pattern. The precious metals sector was strong in the cross - section, while the black and agricultural products sectors were weak. Gold's time - series momentum increased slightly, and the trading volume of silver continued to increase marginally. The short - cycle momentum of the non - ferrous sector increased, and the differentiation of the term structure narrowed. The time - series momentum of the black sector declined marginally, with rebar being strong and coke being short in the cross - section. The short - cycle momentum of the energy - chemical sector showed less cross - sectional differentiation, and the overall time - series momentum decreased. For agricultural products, the short - cycle momentum of most varieties did not reverse significantly, and the trading volume of palm oil increased [3] Methanol - Last week, the supply factor of methanol strengthened by 1.05%, the inventory factor increased by 1.12%, and the synthetic factor increased by 0.83%. This week, the comprehensive signal is long. In terms of fundamental factors, the arrival volume of imported methanol increased, the strength of the long position on the supply side weakened and became neutral; the operating rates of the glacial acetic acid and MTBE industries increased, indicating a long position on the demand side; the inventory of domestic production enterprises decreased, indicating a long position on the inventory side; the spot prices in the domestic and coastal methanol markets both sent short signals, indicating a short position on the spread side [5] Iron Ore - Last week, the supply factor of iron ore increased by 0.05%, the inventory factor weakened by 0.06%, and the comprehensive factor decreased by 0.01%. This week, the comprehensive signal changed from neutral to short. The shipping volume from BHP increased significantly, and the short signal on the supply side was slightly enhanced, remaining neutral. The daily average port clearance volume decreased, and the daily average hot metal output of 247 steel enterprises was basically flat. The demand - side signal changed from neutral to short. The inventory of domestic sintering ore powder in steel mills and the inventory of imported trade ore in ports both increased, and the inventory side turned to a short feedback, remaining neutral. The spot price center moved down, and the long feedback on the spread side further weakened, remaining neutral [14][15] Aluminum - Last week, the supply factor of aluminum increased by 0.74%, the demand factor strengthened by 0.88%, the inventory factor decreased by 0.19%, and the synthetic factor strengthened by 0.32%. This week, the comprehensive signal remained short. The loss of SMM recycled lead narrowed slightly, and the strength of the short signal on the supply side further increased. The inventory of registered and non - registered warehouse receipts in the SHFE decreased, and the long feedback on the inventory side increased, remaining neutral. The SMM lead ingot price decreased, the price center of recycled lead moved down, and the short feedback on the spread side increased, turning to short [15] CTA - Last week, the supply factor of CTA weakened by 0.40%, the inventory factor strengthened by 0.56%, the profit factor decreased by 0.61%, and the synthetic factor decreased by 0.31%. This week, the comprehensive signal is neutral. In terms of fundamental factors, the capacity utilization rate of float glass enterprises was flat month - on - month, indicating a neutral supply side; the number of commercial housing transactions in second - tier cities decreased, indicating a slightly short demand side; the inventory of Chinese float glass enterprises decreased slightly, but the contribution of this factor was high, and the long position on the inventory side continued; the after - tax gross profit of float glass produced by various processes continued to be in a loss, indicating a short position on the profit side [17]

Quantitative Models and Construction Methods 1. Model Name: High-frequency "Gold" Portfolio CSI 1000 Index Enhanced Strategy - **Model Construction Idea**: This strategy combines three categories of high-frequency factors (price range, price-volume divergence, regret avoidance) equally weighted to enhance the CSI 1000 Index. It aims to leverage high-frequency data to capture microstructure insights and improve stock selection performance[4][38][39] - **Model Construction Process**: 1. Combine the three high-frequency factors (price range, price-volume divergence, regret avoidance) with equal weights (25%, 25%, 50%) 2. Apply industry and market capitalization neutralization to the combined factor 3. Implement weekly rebalancing with a transaction cost rate of 0.2% per side 4. Introduce turnover buffering mechanisms to reduce transaction costs[14][38][39] - **Model Evaluation**: The strategy demonstrates strong out-of-sample performance with stable excess returns, though it has experienced some recent adjustments[42] 2. Model Name: High-frequency & Fundamental Resonance Portfolio CSI 1000 Index Enhanced Strategy - **Model Construction Idea**: This strategy integrates high-frequency factors with fundamental factors (consensus expectations, growth, and technical factors) to improve multi-factor portfolio performance. The low correlation between high-frequency and traditional fundamental factors enhances diversification[43][45] - **Model Construction Process**: 1. Combine the three high-frequency factors and three fundamental factors equally weighted 2. Apply industry and market capitalization neutralization to the combined factor 3. Implement weekly rebalancing with a transaction cost rate of 0.2% per side 4. Introduce turnover buffering mechanisms to reduce transaction costs[43][45] - **Model Evaluation**: The strategy shows improved performance metrics compared to the high-frequency-only strategy, with higher annualized returns and lower maximum drawdowns[45][47] --- Model Backtesting Results 1. High-frequency "Gold" Portfolio CSI 1000 Index Enhanced Strategy - Annualized Return: 10.56% - Annualized Volatility: 23.75% - Sharpe Ratio: 0.44 - Maximum Drawdown: 47.77% - Annualized Excess Return: 9.58% - Tracking Error: 4.36% - Information Ratio (IR): 2.20 - Maximum Excess Drawdown: 6.53%[39] 2. High-frequency & Fundamental Resonance Portfolio CSI 1000 Index Enhanced Strategy - Annualized Return: 14.80% - Annualized Volatility: 23.39% - Sharpe Ratio: 0.63 - Maximum Drawdown: 39.60% - Annualized Excess Return: 13.70% - Tracking Error: 4.23% - Information Ratio (IR): 3.24 - Maximum Excess Drawdown: 4.97%[45] --- Quantitative Factors and Construction Methods 1. Factor Name: Price Range Factor - **Factor Construction Idea**: Measures the activity of stock transactions in different intraday price ranges, reflecting investor expectations for future stock trends[3] - **Factor Construction Process**: 1. Use 3-second snapshot data to calculate transaction volume and count in high (80%) and low (10%) price ranges 2. Construct sub-factors: - High price range transaction volume factor (VH80TAW) - High price range transaction count factor (MIH80TAW) - Low price range average transaction volume factor (VPML10TAW) 3. Combine sub-factors with weights of 25%, 25%, and 50%, respectively 4. Apply industry and market capitalization neutralization[11][14][16] - **Factor Evaluation**: Demonstrates strong predictive power and stable performance out-of-sample[3][16] 2. Factor Name: Price-Volume Divergence Factor - **Factor Construction Idea**: Measures the correlation between stock price and trading volume. Lower correlation indicates higher potential for future price increases[3][19] - **Factor Construction Process**: 1. Use high-frequency snapshot data to calculate correlations: - Price and transaction count correlation (CorrPM) - Price and transaction volume correlation (CorrPV) 2. Combine sub-factors equally weighted 3. Apply industry and market capitalization neutralization[19][22][23] - **Factor Evaluation**: Performance has declined since 2020 due to widespread adoption but remains stable with positive excess returns in 2023[23] 3. Factor Name: Regret Avoidance Factor - **Factor Construction Idea**: Based on behavioral finance, this factor captures investor regret avoidance emotions, such as the impact of selling stocks that later rebound[3][24] - **Factor Construction Process**: 1. Use tick-by-tick transaction data to identify active buy/sell directions 2. Construct sub-factors: - Sell rebound proportion factor (LCVOLESW) - Sell rebound deviation factor (LCPESW) 3. Combine sub-factors equally weighted 4. Apply industry and market capitalization neutralization[24][28][30] - **Factor Evaluation**: Exhibits stable out-of-sample performance, indicating significant influence of regret avoidance on stock returns[31] 4. Factor Name: Slope Convexity Factor - **Factor Construction Idea**: Captures the impact of order book slope and convexity on expected returns, reflecting investor patience and supply-demand elasticity[3][32] - **Factor Construction Process**: 1. Calculate order book slope using cumulative order volume and price at different levels 2. Construct sub-factors: - Low-level slope factor (Slope_abl) - High-level convexity factor (Slope_alh) 3. Combine sub-factors equally weighted 4. Apply industry and market capitalization neutralization[32][35][37] - **Factor Evaluation**: Performance has been stable since 2016, though recent results are relatively flat[35] --- Factor Backtesting Results 1. Price Range Factor - Annualized Excess Return: 3.24% (VH80TAW), 4.45% (MIH80TAW), -0.77% (VPML10TAW)[12][14][16] 2. Price-Volume Divergence Factor - Annualized Excess Return: 2.56% (CorrPM), 2.61% (CorrPV)[19][22][23] 3. Regret Avoidance Factor - Annualized Excess Return: -2.67% (LCVOLESW), 0.33% (LCPESW)[24][26][31] 4. Slope Convexity Factor - Annualized Excess Return: -2.35% (Slope_abl), 0.02% (Slope_alh)[34][35][37]

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - This week, the long - short ratio of commodities has changed little. The factor strength of the non - ferrous and precious metals sectors has declined slightly, while that of the agricultural products sector has risen slightly. The cross - sectionally strong sectors are non - ferrous and black, and the weak one is agricultural products. [3] - In terms of strategy net worth, the supply factor strengthened by 0.02% last week, the demand factor weakened by 0.03%, the inventory factor increased by 0.05%, and the synthetic factor increased by 0.04%. This week, the comprehensive signal is long. [5] 3. Summary by Relevant Catalogs 3.1 Commodity Sector Analysis - **Non - ferrous and Precious Metals**: The short - cycle momentum of the non - ferrous sector continues to rise, with a certain reversal in the term structure. The positions of silver have decreased marginally. Gold's time - series momentum has increased slightly. [3] - **Black Sector**: The time - series momentum of the black sector shows a marginal increase, the cross - sectional differentiation has narrowed, and the positions of coking coal and coke are still at a high level. [3] - **Energy and Chemical Sector**: The short - cycle momentum factor of the energy and chemical sector has recovered, and soda ash is at the cross - sectional short end. [3] - **Agricultural Products Sector**: The cross - sectional differentiation of oilseeds and meals has narrowed, the overall time - series momentum has recovered, but the positions have not changed significantly. [3] 3.2 Factor Performance and Signal Analysis - **Factor Performance**: Last week, the supply factor strengthened by 0.02%, the demand factor weakened by 0.03%, the inventory factor increased by 0.05%, and the synthetic factor increased by 0.04%. In the fundamentals, the arrival volume of imported methanol increased, the long - strength of the supply side weakened and turned neutral; the capacity utilization rate of the glacial acetic acid industry increased, the demand side was long; the inventory of methanol in East China ports released a long signal, but the strength weakened; the spot prices of methanol in the inland and coastal areas were differentiated, and the spread side was neutral. [5] - **Comprehensive Signals**: Different commodities have different comprehensive signals. For example, for methanol, this week's comprehensive signal is long; for iron ore, this week's comprehensive signal turns long; for Shanghai aluminum, this week's comprehensive signal turns from long to short; for float glass, this week's comprehensive signal is long. [5][13][15] 3.3 Specific Commodity Analysis - **Methanol**: The arrival volume of imported methanol has increased, the long - strength of the supply side has weakened and turned neutral. The capacity utilization rate of the glacial acetic acid industry has increased, the demand side is long. The inventory of methanol in East China ports has released a long signal, but the strength has weakened. The spot prices of methanol in the inland and coastal areas are differentiated, and the spread side is neutral. [5] - **Iron Ore**: The shipment volume from BHP has decreased slightly, the port arrival volume has dropped, the supply side has a long feedback, and the signal remains neutral. The blast furnace operating rate of steel enterprises continues to decline, but the decline rate has narrowed, the demand - side long feedback continues to weaken, and the signal remains neutral. The average available days of imported iron ore for steel mills have decreased, the inventory of domestic sintering ore powder continues to be destocked, the inventory side has a long feedback, and the signal remains neutral. The spot price center has risen, and the spread side signal turns long. [13] - **Shanghai Aluminum**: SMM's recycled lead losses have narrowed, the price of imported lead concentrate has increased, and the supply - side signal has changed from neutral to short. LME lead inventory has been destocked, and the long - signal strength on the inventory side has increased. The spread between the near and far months of LME lead has narrowed, the long feedback on the spread side has weakened, and the signal has changed from long to neutral. [13] - **Float Glass**: The operating rate of float glass enterprises has decreased slightly month - on - month, and the supply side has turned long. The transaction volume of commercial housing in first - and second - tier cities has increased, and the demand side is long. Float glass enterprises in Shandong and Guangdong have slightly destocked, and the inventory side continues to be long. The daily after - tax gross profit of float glass made from pipeline gas continues to be in a loss, and the profit side continues to be short. [15]

Quantitative Models and Construction Methods 1. Model Name: High-frequency "Gold" Combination CSI 1000 Index Enhanced Strategy - **Model Construction Idea**: This model combines three types of high-frequency factors (price range, price-volume divergence, and regret avoidance) with equal weights to enhance the CSI 1000 Index. It aims to leverage the predictive power of high-frequency factors for stock selection[3][62][66] - **Model Construction Process**: 1. Combine the three high-frequency factors (price range, price-volume divergence, and regret avoidance) with weights of 25%, 25%, and 50%, respectively[36][42][51] 2. Neutralize the combined factor by industry market capitalization[36][42][51] 3. Implement weekly rebalancing with a turnover buffer mechanism to reduce transaction costs[62][66] - **Model Evaluation**: The model demonstrates strong excess return performance both in-sample and out-of-sample, with a stable upward trend in the net value curve[39][66] 2. Model Name: High-frequency & Fundamental Resonance Combination CSI 1000 Index Enhanced Strategy - **Model Construction Idea**: This model integrates high-frequency factors with fundamental factors (consensus expectations, growth, and technical factors) to improve the performance of multi-factor investment portfolios[67][69] - **Model Construction Process**: 1. Combine the three high-frequency factors (price range, price-volume divergence, and regret avoidance) with fundamental factors (consensus expectations, growth, and technical factors) using equal weights[67][69] 2. Neutralize the combined factor by industry market capitalization[67][69] 3. Implement weekly rebalancing with a turnover buffer mechanism to reduce transaction costs[67][69] - **Model Evaluation**: The model shows improved performance metrics compared to the high-frequency-only strategy, with higher annualized returns and Sharpe ratios[69][71] --- Model Backtesting Results 1. High-frequency "Gold" Combination CSI 1000 Index Enhanced Strategy - Annualized Return: 9.63% - Annualized Volatility: 23.82% - Sharpe Ratio: 0.40 - Maximum Drawdown: 47.77% - Annualized Excess Return: 9.85% - Tracking Error: 4.32% - IR: 2.28 - Maximum Excess Drawdown: 6.04%[63][66] 2. High-frequency & Fundamental Resonance Combination CSI 1000 Index Enhanced Strategy - Annualized Return: 13.80% - Annualized Volatility: 23.44% - Sharpe Ratio: 0.59 - Maximum Drawdown: 39.60% - Annualized Excess Return: 13.93% - Tracking Error: 4.20% - IR: 3.31 - Maximum Excess Drawdown: 4.52%[69][71] --- Quantitative Factors and Construction Methods 1. Factor Name: Price Range Factor - **Factor Construction Idea**: Measures the activity of stock transactions in different price ranges during the day, reflecting investors' expectations of future stock trends[3][33] - **Factor Construction Process**: 1. Use high-frequency snapshot data to calculate transaction volume and number of transactions in high (80%) and low (10%) price ranges[33][36] 2. Combine sub-factors with weights of 25%, 25%, and 50%[36] 3. Neutralize the combined factor by industry market capitalization[36] - **Factor Evaluation**: The factor shows strong predictive power and stable performance, with a steadily upward excess net value curve[39] 2. Factor Name: Price-Volume Divergence Factor - **Factor Construction Idea**: Measures the correlation between stock price and trading volume. Lower correlation indicates a higher probability of future price increases[3][40] - **Factor Construction Process**: 1. Use high-frequency snapshot data to calculate the correlation between price and trading volume, as well as price and transaction count[40][42] 2. Combine sub-factors with equal weights[42] 3. Neutralize the combined factor by industry market capitalization[42] - **Factor Evaluation**: The factor's performance has been relatively flat in recent years but has shown good excess return this year[44] 3. Factor Name: Regret Avoidance Factor - **Factor Construction Idea**: Based on behavioral finance, this factor captures investors' regret avoidance emotions, such as the impact of selling stocks that later rebound[3][46] - **Factor Construction Process**: 1. Use tick-by-tick transaction data to identify active buy/sell directions[46] 2. Construct sub-factors like sell rebound ratio and sell rebound deviation, and apply restrictions on small orders and closing trades[46] 3. Combine sub-factors with equal weights and neutralize by industry market capitalization[46][51] - **Factor Evaluation**: The factor shows stable upward performance and strong excess return levels out-of-sample[53] 4. Factor Name: Slope Convexity Factor - **Factor Construction Idea**: Captures the impact of order book slope and convexity on expected returns, reflecting investor patience and supply-demand elasticity[3][54] - **Factor Construction Process**: 1. Use order book data to calculate the slope of buy and sell orders at different levels[54] 2. Construct sub-factors for low-level slope and high-level convexity, and combine them[54][58] 3. Neutralize the combined factor by industry market capitalization[58] - **Factor Evaluation**: The factor has shown stable performance since 2016, with relatively flat out-of-sample results[61] --- Factor Backtesting Results 1. Price Range Factor - Annualized Excess Return: 4.90% - IR: 1.13 - Maximum Excess Drawdown: 1.89%[36][39] 2. Price-Volume Divergence Factor - Annualized Excess Return: 5.59% - IR: 1.29 - Maximum Excess Drawdown: 2.13%[42][44] 3. Regret Avoidance Factor - Annualized Excess Return: -2.62% - IR: -0.61 - Maximum Excess Drawdown: 1.69%[46][53] 4. Slope Convexity Factor - Annualized Excess Return: -10.40% - IR: -2.35 - Maximum Excess Drawdown: 2.42%[58][61]

Report Overview - Report Title: Commodity Quantitative CTA Weekly Tracking [1] - Report Date: December 23, 2025 [2] - Research Team: Guotou Futures Research Institute, Financial Engineering Group [2] Industry Investment Rating - No industry investment rating information is provided in the report. Core Viewpoints - The proportion of long positions in commodities increased slightly this week. The factor strength of precious metals remained high, while that of the agricultural products sector decreased slightly. The precious metals and non - ferrous sectors were relatively strong in cross - section, the black and energy sectors were above the neutral range, and the agricultural products sector was relatively weak [3]. - In the methanol strategy, the inventory factor weakened by 0.02% last week, the synthetic factor declined by 0.02%, and the comprehensive signal this week is long. In the float glass strategy, the synthetic factor increased by 1.38% last week, and the comprehensive signal this week is short. In the iron ore strategy, the comprehensive factor weakened by 0.19% last week, and the comprehensive signal this week remains neutral. In the lead strategy, the synthetic factor strengthened by 0.42% last week, and the comprehensive signal this week changed from short to long [5][8][10] Section Summaries Commodity Market Overview - The proportion of long positions in commodities increased slightly this week. Precious metals and non - ferrous sectors were strong in cross - section, agricultural products were weak. Gold's time - series momentum rose slightly, silver's position increased more marginally. In the non - ferrous sector, short - cycle momentum recovered, and the term structure differentiation narrowed. In the black sector, time - series momentum showed a marginal decline. In the energy and chemical sector, short - cycle momentum factors recovered. In the agricultural products sector, the cross - section differentiation of oilseeds and meals narrowed [3] Performance of Different Factors - **Methanol**: Last week, the inventory factor weakened by 0.02%, the synthetic factor declined by 0.02%. The import methanol arrival volume and domestic road transport prices sent long signals on the supply side; the raw material procurement volume of domestic methanol - to - olefins enterprises decreased on the demand side; the methanol port continued to destock on the inventory side; the domestic methanol spot price fell while the port price was strong on the spread side [5] - **Float Glass**: Last week, the supply factor increased by 1.51%, the demand factor strengthened by 1.62%, the inventory factor weakened by 0.13%, the spread factor increased by 0.29%, the profit factor strengthened by 0.21%, and the synthetic factor increased by 1.38%. The supply side is neutral, the demand side is slightly long, the inventory side turns neutral, and the profit side remains short [8] - **Iron Ore**: Last week, the inventory factor declined by 0.59%, and the comprehensive factor weakened by 0.19%. The supply side turns to short feedback but the signal remains neutral, the demand side's long feedback weakens and turns to neutral, the inventory side's signal turns from short to neutral, and the spread side's short feedback weakens slightly and the signal remains neutral [10] - **Lead**: Last week, the supply factor increased by 0.6%, the demand factor strengthened by 0.56%, the spread factor increased by 0.51%, and the synthetic factor strengthened by 0.42%. The supply side signal turns from short to neutral, the inventory side signal turns from neutral to long, and the spread side signal turns from short to long [10] Data Tables - **Commodity Factors Performance Table**: It shows the last week's and current month's returns of supply, demand, inventory, spread, and the cumulative returns of major categories [4] - **Factor Index Table for Different Sectors**: It presents the time - series momentum, cross - section momentum, term structure, and position volume of black, non - ferrous, energy and chemical, agricultural products, stock index, and precious metals sectors [6]

Report Summary 1. Core View - The proportion of long and short positions in commodities remained basically unchanged this week. The factor strength of precious metals remained high, while that of non - ferrous and agricultural products decreased. The precious metals sector was relatively strong, and the agricultural and chemical sectors were relatively weak. The internal differentiation of the agricultural products sector widened [2]. - For different commodities, the performance of various factors and comprehensive signals varied. For example, in methanol, the demand factor weakened, the inventory factor increased, and the synthetic factor strengthened, with a bullish comprehensive signal this week. In iron ore, the comprehensive signal changed from bearish to neutral, and different fundamental factors had different trends [4][13]. 2. Industry Investment Rating No information about industry investment rating is provided in the report. 3. Summary by Commodity Methanol - Strategy Net Value: The demand factor weakened by 0.07%, the inventory factor increased by 0.12%, and the synthetic factor strengthened by 0.05%. The comprehensive signal this week was bullish. - Fundamental Factors: The arrival volume of imported methanol decreased, with a slightly bullish supply; the capacity utilization rate of methanol - to - olefin enterprises decreased, and the acetic acid device operation increased, with a neutral demand; methanol ports and inland areas both destocked last week, with a bullish inventory; the bullish strength of the methanol regional spread factor weakened, with a neutral spread [4]. Iron Ore - Strategy Net Value: The supply factor decreased by 0.08%, the inventory factor increased by 0.67%, and the comprehensive factor strengthened by 0.2%. The comprehensive signal changed from bearish to neutral this week. - Fundamental Factors: Shipments from BHP and Vale increased, and the arrival volume at northern ports rose, with a weakening bullish feedback on the supply side and a neutral signal; the consumption of sintering ore powder by steel mills and the daily port clearance volume both increased slightly, with an enhanced bullish feedback on the demand side and a bullish signal; the inventory of sintering ore powder in steel mills accumulated, and the average available days of imported iron ore increased, with an enhanced bearish signal on the inventory side; the freight rate decreased, and the spot price center moved down, with an enhanced bearish feedback on the spread side and a neutral signal [10][13]. Aluminum - Strategy Net Value: The demand factor strengthened by 0.38, the inventory factor decreased by 0.13%, the spread factor strengthened by 0.45%, and the synthetic factor increased by 0.18%. The comprehensive signal remained bearish this week. - Fundamental Factors: The spot price of silver increased, and the supply - side signal changed from neutral to bearish; the LME lead and SHFE warehouse receipts both accumulated, with an enhanced bearish feedback on the inventory side and a neutral signal; the lead refined - scrap price spread narrowed, and the bearish signal strength of the spread side weakened [13]. Float Glass - Strategy Net Value: The supply factor decreased by 0.46%, the demand factor weakened by 0.49%, the profit factor strengthened by 1.07%, and the synthetic factor decreased by 0.32%. The comprehensive signal was bearish this week. - Fundamental Factors: The operating rate of float glass enterprises remained the same as last week, with a neutral supply; the inventory of glass production enterprises continued to decrease, with an increased bullish strength on the inventory side; the spot price of Hubei glass released a bearish signal, with a bearish spread; the daily after - tax gross profit loss of pipeline - gas - made float glass intensified, with a continued bearish profit [15]. 4. Factor Performance and Returns Overall Factor Returns | Factor | Last Week's Return (%) | This Month's Return (%) | | --- | --- | --- | | Supply | 0.00 (in some cases - 0.46, - 0.08) | Ranging from - 0.36 to 0.56 | | Demand | - 0.07 (in some cases - 0.49) | Ranging from - 0.88 to 1.25 | | Inventory | 0.12 (in some cases 0.00, 0.67) | Ranging from - 0.21 to 1.45 | | Spread | 0.00 | Ranging from - 0.26 to 0.82 | | Profit | 1.07 | 1.82 | | Grand Total | 0.05 (in some cases - 0.32, 0.20) | Ranging from - 0.36 to 0.72 |[3][7][10] Factor Performance by Sector | Sector | Momentum Time - Series | Momentum Cross - Section | Term Structure | Position Volume | | --- | --- | --- | --- | --- | | Black | 0 | 0.09 | 0 | - 0.08 | | Non - ferrous | 0.05 | - 0.21 | 0.52 | 1.13 | | Energy and Chemical | - 0.02 | 0.18 | 0.37 | 0.69 | | Agricultural Products | 0.13 | 0.35 | 0.41 | - 0.19 | | Stock Index | - 0.71 | 0.46 | - 0.63 | 1.06 | | Precious Metals | 0.12 | | | 0.88 |[5]

- The report tracks the performance of high-frequency stock selection factors, including Price Range Factor, Price-Volume Divergence Factor, Regret Avoidance Factor, and Slope Convexity Factor. These factors are evaluated based on their excess returns and predictive capabilities[2][3][11] - **Price Range Factor**: This factor measures the activity of stock transactions in different price ranges during the day, reflecting investors' expectations for future stock trends. It includes sub-factors such as high-price range transaction volume (VH80TAW), high-price range transaction count (MIH80TAW), and low-price range average transaction volume (VPML10TAW). The factor shows a strong predictive effect and stable performance this year[3][12][14] - **Price-Volume Divergence Factor**: This factor evaluates the correlation between stock prices and trading volumes. A lower correlation indicates a higher likelihood of future price increases. Sub-factors include price-to-transaction count correlation (CorrPM) and price-to-volume correlation (CorrPV). The factor has shown relatively stable performance this year, despite a declining trend since 2020[3][20][22] - **Regret Avoidance Factor**: Based on behavioral finance, this factor examines the proportion and degree of stock price rebounds after being sold by investors. Sub-factors include sell-rebound proportion (LCVOLESW) and sell-rebound deviation (LCPESW). The factor demonstrates stable out-of-sample excess returns, indicating that regret avoidance sentiment significantly impacts stock price expectations[3][23][31] - **Slope Convexity Factor**: Derived from the elasticity of supply and demand, this factor uses order book data to calculate the slope and convexity of buy and sell orders. Sub-factors include low-level slope (Slope_abl) and high-level convexity (Slope_alh). The factor's performance has been relatively flat in recent years, with some fluctuations in recent weeks[3][32][35] - The report constructs two enhanced strategies: the "High-Frequency Gold" portfolio and the "High-Frequency & Fundamental Resonance" portfolio. The "High-Frequency Gold" portfolio combines the three high-frequency factors with equal weights, achieving an annualized excess return of 10.11% and an IR of 2.36. The "High-Frequency & Fundamental Resonance" portfolio integrates high-frequency factors with fundamental factors (e.g., consensus expectations, growth, and technical factors), achieving an annualized excess return of 14.21% and an IR of 3.39[3][39][44] - **Performance Metrics for High-Frequency Gold Portfolio**: Annualized return: 9.49%, Annualized volatility: 23.87%, Sharpe ratio: 0.40, Maximum drawdown: 47.77%, Annualized excess return: 10.11%, IR: 2.36, Maximum excess drawdown: 6.04%[40][43] - **Performance Metrics for High-Frequency & Fundamental Resonance Portfolio**: Annualized return: 13.66%, Annualized volatility: 23.49%, Sharpe ratio: 0.58, Maximum drawdown: 39.60%, Annualized excess return: 14.21%, IR: 3.39, Maximum excess drawdown: 4.52%[47][48]

1. Report Industry Investment Rating - Not provided in the content 2. Core Viewpoints of the Report - This week, the proportion of long positions in commodities decreased slightly. The factor intensity of the black and chemical sectors declined, while the non - ferrous sector increased slightly. The cross - sectionally stronger sector is non - ferrous, and the weaker ones are chemicals and agricultural products. The overall signal for commodities this week is a combination of long and short positions in different sectors and factors [3]. 3. Summary by Related Catalogs Commodity Overall Situation - The proportion of long positions in commodities decreased slightly this week. The factor intensity of the black and chemical sectors declined, and the non - ferrous sector increased slightly. The cross - sectionally stronger sector is non - ferrous, and the weaker ones are chemicals and agricultural products [3]. Specific Sector Analysis Non - ferrous Metals - Gold's time - series momentum declined, silver's trading volume remained at a high level, and the cross - sectional divergence widened. The short - term momentum of the non - ferrous sector increased marginally, the cross - sectional momentum divergence narrowed, and copper and zinc were strong while tin was weak in the cross - section [3]. Black Metals - The term structure showed narrowing divergence. The trading volumes of coking coal and coke remained at low levels, and the short - term momentum of iron ore reversed and declined [3]. Energy and Chemicals - The long - term momentum factor declined, and ethylene glycol was at the short end of the cross - section [3]. Agricultural Products - The cross - sectional divergence of oilseeds and meals narrowed, and the trading volume of soybean oil decreased marginally [3]. Strategy Net Worth and Fundamental Factors Commodities - The demand factor weakened by 0.01%, the inventory factor increased by 0.36%, the synthetic factor strengthened by 0.01%, and the comprehensive signal this week was short. For methanol, the domestic production capacity utilization rate was flat, the demand side's long - position strength weakened to neutral, the inventory side signaled short - positions, and the spread side was slightly long [3]. Float Glass - Last week, the inventory factor decreased by 0.39%, the profit factor strengthened by 0.74%, and this week's comprehensive signal was long. The supply, demand, and inventory sides signaled long - positions, the spread side was neutral, and the profit side continued to signal short - positions [9]. Iron Ore - Last week, the supply factor decreased by 0.22%, the comprehensive factor weakened by 0.04%, and this week's comprehensive signal changed from long to short. The supply, demand, inventory, and spread sides all had changes in their signals, with the overall trend turning bearish [11]. Lead - Last week, the supply factor increased by 0.02%, the demand factor weakened by 0.46%, the inventory factor decreased by 0.5%, the spread factor weakened by 0.33%, the synthetic factor decreased by 0.32%, and this week's comprehensive signal remained short. The supply side's long - position feedback further weakened, the inventory side's short - position feedback weakened, and the spread side's short - position signal intensity increased [11].

Report Overview - Report Title: Commodity Quantitative CTA Weekly Tracking [1] - Research Institute: Guotou Futures Research Institute, Financial Engineering Group [2] - Report Date: November 25, 2025 [2] 1. Overall Commodity Market Conditions - The commodity market is currently dominated by short - term signals this week, with the factor intensity of the energy and chemical sector decreasing, and the black and agricultural product sectors showing an upward trend. The non - ferrous sector is relatively strong in the cross - section, while the energy sector is relatively weak. [4] - Gold's time - series momentum has declined, the trading volume of silver has changed little, and the divergence at both ends of the cross - section has narrowed. [4] 2. Sector - Specific Analysis Non - ferrous Sector - The position - holding factor of the non - ferrous sector has increased marginally, the divergence of cross - sectional momentum has narrowed, tin is strong, and alumina is weak in the cross - section. [4] - The non - ferrous sector has a time - series momentum of - 0.13, a cross - sectional momentum of 0.54, a term structure of 0.99, and a position - holding weight of 1.1. [7] Black Sector - The position - holding volume of coking coal and coke in the black sector remains low, but the short - term momentum in the time - series has rebounded. [4] - The black sector has a time - series momentum of - 0.42, a cross - sectional momentum of 0.18, a term structure of 0.29, and a position - holding weight of 0.79. [7] Energy Sector - The short - term momentum factor of the energy sector has declined, and the chemical sector is at the strong end of the cross - section. [4] - The energy sector has a time - series momentum of 0.02, a cross - sectional momentum of 0.74, a term structure of - 0.6, and a position - holding weight of 0.06. [7] Agricultural Product Sector - The cross - sectional divergence of oilseeds and meals has narrowed, and the long - term momentum of soybean oil is lower than that of soybean meal. [4] - The agricultural product sector has a time - series momentum of - 0.09, a cross - sectional momentum of 0.05, a term structure of 0.17, and a position - holding weight of - 0.16. [7] Precious Metal Sector - The precious metal sector has a time - series momentum of 0.37 and a position - holding weight of - 1.07. [7] Equity Index Sector - The equity index sector has a cross - sectional momentum of 0.49, a term structure of 0.68, and a position - holding weight of 2.15. [7] 3. Strategy Net Value and Fundamental Factors Analysis Methanol - Last week, the supply factor weakened by 0.02%, the demand factor increased by 0.03%, the inventory factor strengthened by 0.38%, and the synthetic factor increased by 0.26%. This week, the comprehensive signal is short - term. [6] - The import arrival volume of methanol releases a short - term signal, the supply side is neutral to bearish; the raw material procurement volume of traditional downstream manufacturers has decreased, the demand side is bearish; the port inventory has decreased month - on - month, the inventory side has turned neutral; the Inner Mongolia - Shandong regional spread factor of methanol releases a long - term signal, and the spread side is neutral to bullish. [6] Float Glass - Last week, the inventory factor increased by 0.16%, and the synthetic factor strengthened by 0.13%. This week, the comprehensive signal is neutral. [10] - The capacity utilization rate of float glass enterprises is flat compared with last week, the supply side is neutral; the transaction area of commercial housing in second - tier cities has increased, the demand side is neutral to bullish; the inventory of Chinese float glass enterprises has increased from a decrease, the bullish strength of the inventory side has weakened and turned neutral; the loss of producing float glass from thermal coal has increased slightly, and the profit side is neutral to bearish. [10] Iron Ore - Last week, the supply factor decreased by 0.11%, the inventory factor weakened by 0.11%, and the comprehensive factor decreased by 0.06%. This week, the comprehensive signal has turned bullish. [11][13] - The shipping volumes from Australia and Brazil and the arrival volume at Tianjin Port have all decreased, and the supply - side signal has turned from bearish to bullish. The consumption volume of imported sintering ore powder by steel mills and the proportion of lump ore in the furnace have increased, the bearish feedback on the demand side has weakened, and the signal has turned neutral. The inventory of iron ore at major ports across the country has accumulated, the bullish feedback on the inventory side has weakened, and the signal remains neutral. The freight rate and spot price have increased slightly, the spread side has turned to bullish feedback, and the signal remains neutral. [13] Shanghai Aluminum - Last week, the supply factor decreased by 0.06%, the demand factor strengthened by 0.76%, the inventory factor increased by 0.83%, the spread factor strengthened by 0.7%, and the synthetic factor increased by 0.56%. This week, the comprehensive signal has turned neutral. [13] - The price of domestic lead concentrates from SMM has decreased, the proportion of waste battery prices in the price of recycled refined lead has increased, and the supply - side signal has turned bullish. The cumulative registered and non - registered warehouse receipts of SHFE futures have increased, the bearish feedback on the inventory side has further strengthened, and the signal remains bearish. The spread between the near and far months of LME lead has widened, and the spread - side signal has turned bullish. [13]

Report Summary 1. Report Industry Investment Rating No relevant information provided. 2. Core Viewpoints - This week, the proportion of short positions in commodities has rebounded, mainly due to the decline in the factor strength of the precious metals and non - ferrous sectors, while the black sector has recovered. The black sector is relatively strong in cross - section, while the non - ferrous and agricultural sectors are relatively weak [3]. - The comprehensive signals of methanol, float glass, iron ore, and lead have different trends this week, with methanol and float glass showing long signals, iron ore showing a short signal, and lead maintaining a short signal [5][8][11]. 3. Summary by Related Content Commodity Market Overview - In the precious metals sector, the time - series momentum of gold has declined, and the trading volume of silver has decreased significantly, with an expanding divergence at both ends of the cross - section. In the non - ferrous sector, the position factor has decreased marginally, the cross - section momentum divergence has narrowed, and lead is relatively weak in the cross - section. In the black sector, the positions of iron ore and rebar have decreased slightly, but the short - term momentum time - series has recovered, and rebar is relatively strong in the cross - section. In the energy sector, the short - term momentum factor has declined, and the chemical sector is at the relatively strong end of the cross - section. In the agricultural products sector, the cross - section divergence of oil and meal has narrowed, and the overall long - term momentum has stabilized slightly [3]. Strategy Net Value and Fundamental Factors - **Methanol**: Last week, the supply factor increased by 0.57%, the demand factor decreased by 0.40%, the inventory factor strengthened by 0.58%, and the synthetic factor increased by 0.45%. This week, the comprehensive signal has turned long. In terms of fundamental factors, the supply side has turned neutral, the demand side has weakened from a long signal to neutral, the inventory side is long, and the spread side is slightly bearish [5]. - **Float Glass**: Last week, the profit factor increased by 0.05%, the spread factor weakened by 0.36%, and the synthetic factor decreased by 0.26%. This week, the comprehensive signal is long. The supply side is neutral, the demand side is slightly bearish, the inventory side is long, and the spread side has weakened significantly from a long signal to neutral [8]. - **Iron Ore**: Last week, the supply factor decreased by 0.2%, the inventory factor strengthened by 0.3%, and the comprehensive factor increased by 0.06%. This week, the comprehensive signal has turned short. The supply side remains bearish, the demand side has turned bearish, the inventory side has turned neutral, and the spread side remains neutral [11]. - **Lead**: Last week, the supply factor decreased by 0.18%, the demand factor weakened by 0.17%, the inventory factor decreased by 0.16%, the spread factor weakened by 0.07%, and the synthetic factor decreased by 0.14%. This week, the comprehensive signal remains short. The supply side has turned neutral, the inventory side remains bearish, and the spread side remains bearish [11].