Report Industry Investment Rating - Not provided in the content Core Viewpoints of the Report - The trading volume of the commodity options market increased slightly this week, with an average daily trading volume of 8.17 million lots and an average daily open interest of 7.17 million lots, showing week - on - week changes of +10.16% and +5.30% respectively. Investors are advised to focus on potential market opportunities in actively traded varieties [1][7]. - The underlying futures of commodity options showed mixed price movements. Some varieties with high weekly increases include nickel (+4.81%), glass (+2.84%), and soybeans No. 1 (+2.74%); those with high weekly decreases include lithium carbonate (-6.85%), silver (-6.74%), and tin (-4.62%) [2][14]. - Most commodity options' implied volatility increased weekly. For varieties with implied volatility at a historical high, investors should be wary of one - sided risks and consider short - volatility opportunities; for those at a historical low, buying options has a higher cost - performance ratio [2][14]. - The PCR of trading volume and open interest of different varieties reflects different market sentiment. Some varieties have a concentrated short - term bearish or bullish sentiment [2][14]. Summary by Relevant Catalogs 1. Commodity Options Market Activity - The average daily trading volume of the commodity options market this week was 8.17 million lots, and the average daily open interest was 7.17 million lots, with week - on - week changes of +10.16% and +5.30% respectively [1][7]. - The actively traded varieties in terms of daily average trading volume this week included silver (1.11 million lots), PTA (0.64 million lots), and p - xylene (0.64 million lots) [1][7]. - Five varieties had a trading volume increase of over 100%, with significant growth in p - xylene (+292%), pure benzene (+122%), and cotton (+107%) [1][7]. - Varieties with a significant decline in trading volume were pulp (-74%), rebar (-59%), and bitumen (-57%) [1][7]. - The varieties with high average daily open interest this week were glass (0.54 million lots), soda ash (0.48 million lots), and cotton (0.38 million lots). Ethylene glycol had a rapid week - on - week increase in open interest (+118%) [1][7]. 2. This Week's Main Data Review of Commodity Options 2.1 Underlying Price Movements - Varieties with high weekly increases included nickel (+4.81%), glass (+2.84%), and soybeans No. 1 (+2.74%) [2][14]. - Varieties with high weekly decreases included lithium carbonate (-6.85%), silver (-6.74%), and tin (-4.62%) [2][14]. 2.2 Market Volatility - Most commodity options' implied volatility increased weekly, and 45 varieties' current implied volatility was above the 50th percentile of the past year [2][14]. - Varieties with implied volatility at a historical high included silver, nickel, aluminum, copper, pulp, cotton, and plastic. Those at a historical low included iron ore and soybean oil [2][14]. 2.3 Options Market Sentiment - The trading volume PCR of lithium carbonate, tin, and apple was at a historical high, indicating a concentrated short - term bearish sentiment. The trading volume PCR of zinc, polypropylene, live pigs, cotton, and methanol was at a one - year low, indicating a concentrated bullish sentiment [2][14]. - The open interest PCR of lithium carbonate, silver, and p - xylene was at a historical high, while that of alumina, plastic, ethylene glycol, zinc, and aluminum was at a one - year low, reflecting different levels of bullish and bearish sentiment [2][14]. 3. Key Data Overview of Main Varieties - This chapter presents key data of main varieties, including trading volume, volatility, and options market sentiment indicators. Detailed data of more varieties can be found on the Dongzheng Fanwei official website (https://www.finoview.com.cn/) [19]. 3.1 Energy - Relevant data charts such as total trading volume, volatility, open interest PCR, and trading volume PCR of crude oil are provided [21][22]. 3.2 Chemicals - **PTA**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [27][33]. - **Caustic Soda**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [36][38]. - **Glass**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [43][44]. - **Soda Ash**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [49][51]. 3.3 Precious Metals - Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR of silver are provided [58][59]. 3.4 Ferrous Metals - **Iron Ore**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [72][68]. - **Manganese Silicide**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [74][75]. 3.5 Non - Ferrous Metals - **Copper**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [81][87]. - **Aluminum**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [90][93]. 3.6 Agricultural Products - **Soybean Meal**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [97][100]. - **Palm Oil**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [103][104]. - **Cotton**: Data charts of total trading volume, volatility, open interest PCR, and trading volume PCR are provided [109][110].

1. Report Industry Investment Rating - No relevant content provided. 2. Core View of the Report - This week (2025.12.21 - 2025.12.26), the trading volume of the commodity options market increased slightly, with an average daily trading volume of 8.43 million lots and an average daily open interest of 7.03 million lots, showing a week-on-week change of +22.16% and +8.84% respectively. Investors are advised to focus on potential market opportunities in actively traded varieties [1][7]. - The underlying futures of commodity options showed mixed price movements this week. Most commodity options' implied volatility increased on a weekly basis. The market sentiment for different varieties also varied, with some showing a concentrated expectation of price decline and others showing an expectation of price increase [2][16][17]. 3. Summary by Relevant Catalogs 3.1 Commodity Options Market Activity - The average daily trading volume of actively - traded varieties this week included silver (1.52 million lots), PTA (0.69 million lots), and nickel (0.43 million lots). Five varieties had a trading - volume increase of over 100%, with significant growth in paraxylene (+461%), nickel (+196%), and rapeseed meal (+171%). Meanwhile, LPG (-79%), fuel oil (-79%), and soybeans No.1 (-71%) had obvious trading - volume declines. The varieties with high average daily open interest were glass (0.47 million lots), silver (0.45 million lots), and soda ash (0.45 million lots). Paraxylene (+282%) and PTA (+119%) had a relatively rapid week - on - week increase in open interest [1][7]. 3.2 This Week's Main Data Review of Commodity Options 3.2.1 Underlying Price Movements - The varieties with high weekly increases included silver (+14%), lithium carbonate (+5.34%), and PTA (+4.62%); the varieties with high weekly decreases included polysilicon (-2.14%) and Shanghai tin (-1.58%) [2][16]. 3.2.2 Market Volatility - Most commodity options' implied volatility increased on a weekly basis, with the current implied volatility of 42 varieties above the 50% percentile of the past year. The implied volatility of silver, nickel, lithium carbonate, paraxylene, and staple fiber increased by 22.06, 18.17, 11.59, 10.22, and 10.17 percentage points respectively. Varieties with implied volatility at a one - year high included silver, tin, nickel, aluminum, copper, and paraxylene; those with implied volatility at a one - year low included soybean oil [2][16]. 3.2.3 Options Market Sentiment - Currently, the trading - volume PCR of lithium carbonate and apples is at a historical high, indicating a short - term concentrated expectation of price decline in the market; the trading - volume PCR of live pigs, aluminum, rapeseed oil, corn, gold, and rubber is at a one - year low, indicating a concentrated expectation of price increase. The open - interest PCR of lithium carbonate, silver, paraxylene, and PTA is at a historical high, showing a high level of market sentiment for betting on price decline; the open - interest PCR of aluminum, ethylene glycol, zinc, and styrene is at a one - year low, indicating an accumulation of market sentiment for betting on price increase [2][17]. 3.3 Key Data Overview of Main Varieties - This chapter presents key data of main varieties, including trading volume, volatility, and options market sentiment indicators. More detailed data for more varieties can be found on the official website of Dongzheng Fanwei (https://www.finoview.com.cn/) [22]. 3.3.1 Energy - Relevant charts show the total trading volume, volatility, open - interest PCR, and trading - volume PCR of crude oil, but no specific data analysis in the text [23][24][27]. 3.3.2 Chemicals - **PTA**: Charts display the total trading volume, volatility, open - interest PCR, and trading - volume PCR, but no specific data analysis in the text [30][31][37]. - **Caustic Soda**: Similar to PTA, relevant data are presented in charts without specific text analysis [39][40][41]. - **Glass**: Charts show related data, and there is no specific text analysis [45][46][47]. - **Soda Ash**: Charts present relevant information, and no detailed text analysis [53][54][56]. 3.3.3 Precious Metals - Charts show the total trading volume, volatility, open - interest PCR, and trading - volume PCR of silver, with no specific text analysis [62][63][64]. 3.3.4 Ferrous Metals - **Iron Ore**: The total trading volume, volatility, open - interest PCR, and trading - volume PCR are presented in charts, and no detailed text analysis [70][71][72]. - **Silicomanganese**: Similar to iron ore, relevant data are shown in charts without specific text analysis [77][78][79]. 3.3.5 Non - ferrous Metals - **Copper**: Charts display the total trading volume, volatility, open - interest PCR, and trading - volume PCR, with no specific text analysis [85][86][90]. - **Aluminum**: Similar to copper, relevant data are presented in charts without detailed text analysis [92][93][95]. 3.3.6 Agricultural Products - **Soybean Meal**: The total trading volume, volatility, open - interest PCR, and trading - volume PCR are shown in charts, and no detailed text analysis [98][100][103]. - **Palm Oil**: Relevant data are presented in charts without specific text analysis [106][107][108]. - **Cotton**: Similar to the above, relevant data are shown in charts without detailed text analysis [114][115][117].

周度报告——商品期权 商品期权周报：2025 年第 51 周 ★ 风险提示 模型风险、政策风险、末日轮极端行情 报告日期： 2025 年 12 月 21 日 ★ 商品期权市场活跃度 本周（2025.12.15-2025.12.19）商品期权市场成交小幅萎缩， 日均成交量为 691 万手，日均持仓量为 646 万手，环比变化 分别为-16.35%和-35.33%。分品种来看，本周日均成交活跃的 品种主要包括白银（108 万手）、PVC（34 万手）、玻璃（33 万手）。此外，本周共有 4 个品种成交增长超过 100%，成交 量增长较为显著的品种为对二甲苯（+256%）、沥青（+143%）、 镍（+125%）。与此同时，成交量下降较为明显的品种则有 菜油（-84%）、菜粕（-79%）、玉米淀粉（-64%）。从持仓 量数据来看，本周日均持仓量较高的品种为白银（50 万手）、 玻璃（36 万手）和纯碱（36 万手）。日均持仓量环比增长较 为迅速的品种为对二甲苯（+91%）、锡（+49%）。建议投 资者可重点关注交易活跃品种可能存在的市场机会。 ★ 商品期权主要数据点评 标的涨跌情况：本周商品期权标的期货涨跌互见。周度 ...

| 项目类别 | 数据指标 | 最新 | 环比 数据指标 | 最新 | 环比 | | --- | --- | --- | --- | --- | --- | | | 期货主力合约收盘价:沪铜(日,元/吨) | 92,400.00 | -1680.00↓ LME3个月铜(日,美元/吨) | 11,646.00 | +131.00↑ | | 期货市场 | 主力合约隔月价差(日,元/吨) | -90.00 | 0.00 主力合约持仓量:沪铜(日,手) | 165,808.00 | -22841.00↓ | | | 期货前20名持仓:沪铜(日,手) | -32,229.00 | +3407.00↑ LME铜:库存(日,吨) | 165,900.00 | +50.00↑ | | | 上期所库存:阴极铜(周,吨) | 89,389.00 | +484.00↑ LME铜:注销仓单(日,吨) | 66,000.00 | -650.00↓ | | | 上期所仓单:阴极铜(日,吨) | 42,226.00 | -2856.00↓ | | | | | SMM1#铜现货(日,元/吨) | 92,265.00 | -1330.00↓ ...

Report Industry Investment Rating No relevant content provided. Core Viewpoints - The trading volume of the commodity options market increased slightly this week, with an average daily trading volume of 8.25 million lots and an average daily open interest of 9.98 million lots, showing a week-on-week change of +3.95% and -11.29% respectively. Attention should be paid to potential market opportunities in actively traded varieties [1][9]. - This week, most commodity options' implied volatility increased on a weekly basis. For varieties with high implied volatility, single - sided risks should be guarded against, and opportunities to short volatility can be considered; for those with low implied volatility, buying options is more cost - effective [2][18]. - Different varieties show different market sentiment in terms of trading volume PCR and open interest PCR, indicating concentrated expectations of either rising or falling [3][19]. Summary by Directory 1. Commodity Options Market Activity - The average daily trading volume of the commodity options market this week was 8.25 million lots, and the average daily open interest was 9.98 million lots, with week - on - week changes of +3.95% and -11.29% respectively [1][9]. - The most actively traded varieties this week included glass (830,000 lots), silver (790,000 lots), and methanol (470,000 lots). The varieties with significant trading volume growth were soybeans No. 2 (+256%), LPG (+191%), and ethylene glycol (+123%); those with significant decline were polysilicon (-72%) and lithium carbonate (-70%) [1][9]. - The varieties with high average daily open interest this week were glass (920,000 lots), soybean meal (850,000 lots), and soda ash (770,000 lots). The varieties with rapid week - on - week growth in open interest were lead (+56%) and p - xylene (+53%) [1][9]. 2. This Week's Commodity Options Main Data Review 2.1. Underlying Price Changes - This week, most underlying futures of commodity options declined. The varieties with high weekly gains were silver (+8.80%), polysilicon (+7.60%), and lithium carbonate (+6.03%); those with high losses were glass (-5.94%), industrial silicon (-5.20%), and LPG (-4.85%) [2][18]. 2.2. Market Volatility - Most commodity options' implied volatility increased this week. 27 varieties' current implied volatility was above the 50th percentile of the past year. The implied volatility of PVC, LPG, and silver increased by 8.46, 6.24, and 4.01 percentage points respectively. Varieties with high implied volatility included silver, PVC, polypropylene, etc.; those with low implied volatility included urea, rapeseed meal, etc. [2][18]. 2.3. Options Market Sentiment - The trading volume PCR of cotton, plastic, LPG, etc. was at a historical high, indicating a short - term concentrated expectation of price decline; the trading volume PCR of aluminum, zinc, gold, etc. was at a one - year low, showing a concentrated expectation of price increase. The open interest PCR of iron ore, soybean meal, etc. was at a historical high, indicating a high - level accumulation of bearish sentiment; the open interest PCR of rapeseed oil, plastic, etc. was at a one - year low, suggesting an accumulation of bullish sentiment [3][19]. 3. Key Data Overview of Main Varieties This chapter presents key data of main varieties, including trading volume, volatility, and options market sentiment indicators. More detailed data can be found on the Dongzheng Fanwei official website (https://www.finoview.com.cn/) [23]. 3.1. Energy No specific data and analysis content provided other than chart references. 3.2. Chemical Industry - **PTA**: No specific data and analysis content provided other than chart references. - **Caustic Soda**: No specific data and analysis content provided other than chart references. - **Glass**: No specific data and analysis content provided other than chart references. - **Soda Ash**: No specific data and analysis content provided other than chart references. 3.3. Precious Metals No specific data and analysis content provided other than chart references. 3.4. Ferrous Metals - **Iron Ore**: No specific data and analysis content provided other than chart references. - **Silicomanganese**: No specific data and analysis content provided other than chart references. 3.5. Non - ferrous Metals - **Copper**: No specific data and analysis content provided other than chart references. - **Aluminum**: No specific data and analysis content provided other than chart references. 3.6. Agricultural Products - **Soybean Meal**: No specific data and analysis content provided other than chart references. - **Palm Oil**: No specific data and analysis content provided other than chart references. - **Cotton**: No specific data and analysis content provided other than chart references.

Quantitative Models and Construction Methods Model 1: Dividend Forecast and Basis Adjustment Model - **Model Name**: Dividend Forecast and Basis Adjustment Model - **Model Construction Idea**: The model predicts the dividend points of the underlying index of stock index futures during the contract period and adjusts the basis accordingly. - **Model Construction Process**: - Predict the dividend points of the underlying index for the next year. For example, the predicted dividend points for the CSI 500, CSI 300, SSE 50, and CSI 1000 indices are 84.93, 90.40, 75.15, and 63.87, respectively[9][10][11][12][13][14][15][16][17][18]. - Calculate the basis as the difference between the futures contract closing price and the underlying index closing price. - Adjust the basis by adding the expected dividends during the contract period to the actual basis. - Annualize the adjusted basis using the formula: $$ \text{Annualized Basis} = \frac{\text{Actual Basis} + \text{Expected Dividend Points}}{\text{Index Price}} \times \frac{360}{\text{Remaining Days of the Contract}} $$ - Example: The annualized basis for the IC current season contract adjusted for dividends is -8.64%[19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. - **Model Evaluation**: The model effectively adjusts the basis to account for dividends, providing a more accurate measure of the futures contract's value relative to the underlying index. Model 2: Continuous Hedging Strategy - **Model Name**: Continuous Hedging Strategy - **Model Construction Idea**: The strategy aims to hedge the basis risk by continuously holding futures contracts and adjusting positions based on the contract's expiration. - **Model Construction Process**: - **Backtest Parameters and Settings**: - Backtest period: July 22, 2022, to December 12, 2025[43][44][45]. - Spot end: Hold the total return index of the corresponding underlying index. - Futures end: Use 70% of the funds for the spot end and the same nominal principal amount for the futures end, occupying the remaining 30% of the funds. - Rebalance rule: Continuously hold the current month/season contract until the contract has less than 2 days to expiration, then close the position at the closing price and short the next season/current month contract at the closing price. - **Performance**: - Annualized return: -3.41% (current month), -2.42% (season), -1.94% (minimum basis strategy)[46][47][48][49][50][51][52][53][54][55][56][57][58][59][60]. - Volatility: 3.80% (current month), 4.70% (season), 4.51% (minimum basis strategy). - Maximum drawdown: -11.20% (current month), -8.34% (season), -8.70% (minimum basis strategy). - Net value: 0.8893 (current month), 0.9205 (season), 0.9360 (minimum basis strategy). - **Model Evaluation**: The continuous hedging strategy provides a systematic approach to managing basis risk, though it may result in negative returns under certain market conditions. Model Backtest Results - **Dividend Forecast and Basis Adjustment Model**: - CSI 500: Annualized basis -8.64%[20] - CSI 300: Annualized basis -3.44%[27] - SSE 50: Annualized basis -0.70%[32] - CSI 1000: Annualized basis -12.38%[38] - **Continuous Hedging Strategy**: - CSI 500: Annualized return -3.41% (current month), -2.42% (season), -1.94% (minimum basis strategy)[46] - CSI 300: Annualized return 0.36% (current month), 0.70% (season), 1.08% (minimum basis strategy)[52] - SSE 50: Annualized return 1.08% (current month), 2.02% (season), 1.68% (minimum basis strategy)[56] - CSI 1000: Annualized return -6.43% (current month), -4.70% (season), -4.38% (minimum basis strategy)[58] Quantitative Factors and Construction Methods Factor 1: Cinda-VIX - **Factor Name**: Cinda-VIX - **Factor Construction Idea**: Reflects the market's expectation of future volatility of the underlying asset based on option prices. - **Factor Construction Process**: - Calculate the implied volatility of options with different maturities. - Aggregate the implied volatilities to form the VIX index for different indices. - Example: As of December 12, 2025, the 30-day VIX for SSE 50, CSI 300, CSI 500, and CSI 1000 are 15.93, 17.03, 22.82, and 20.49, respectively[61][62][63][64][65][66][67][68][69][70][71][72]. - **Factor Evaluation**: The Cinda-VIX index provides valuable insights into market sentiment and expected volatility, aiding in risk management and trading decisions. Factor 2: Cinda-SKEW - **Factor Name**: Cinda-SKEW - **Factor Construction Idea**: Measures the skewness of implied volatility across different strike prices, indicating market expectations of tail risk. - **Factor Construction Process**: - Calculate the implied volatility for options with different strike prices. - Measure the skewness of the implied volatilities to form the SKEW index. - Example: As of December 12, 2025, the SKEW for SSE 50, CSI 300, CSI 500, and CSI 1000 are 101.80, 108.04, 104.65, and 108.10, respectively[68][69][70][71][72][73]. - **Factor Evaluation**: The Cinda-SKEW index captures market concerns about tail risks, providing a useful tool for assessing potential market stress and investor sentiment. Factor Backtest Results - **Cinda-VIX**: - SSE 50: 15.93[61] - CSI 300: 17.03[61] - CSI 500: 22.82[61] - CSI 1000: 20.49[61] - **Cinda-SKEW**: - SSE 50: 101.80[68] - CSI 300: 108.04[68] - CSI 500: 104.65[68] - CSI 1000: 108.10[68]

周度报告——商品期权 商品期权周报：2025 年第 49 周 报告日期： 2025 年 12 月 7 日 ★ 商品期权市场活跃度 本周（2025.12.01-2025.12.05）商品期权市场成交小幅上涨， 日均成交量为 792 万手，日均持仓量为 1141 万手，环比变化 分别为+2.59%和+8.99%。分品种来看，本周日均成交活跃的 品种主要包括白银（76 万手）、碳酸锂（75 万手）、玻璃（64 万手）。此外，本周共有 3 个品种成交增长超过 100%，成交 量增长较为显著的品种为沪铝（+164%）、铝合金（+138%）、 纸浆（+123%）。与此同时，成交量下降较为明显的品种则 有对二甲苯（-96%）、苹果（-93%）和红枣（-92%）。从持 仓量数据来看，本周日均持仓量较高的品种为玻璃（125 万 手）、纯碱（101 万手）和豆粕（84 万手）。日均持仓量环 比增长较为迅速的品种为白银（+76%）、锡（+71%）、合 成橡胶（+50%）。建议投资者可重点关注交易活跃品种可能 存在的市场机会。 ★ 商品期权主要数据点评 标的涨跌情况：本周商品期权标的期货涨跌互现，能化板块 以下跌为主，金属板块以上涨 ...

周度报告——商品期权 商品期权周报：2025 年第 47 周 报告日期： 2025 年 11 月 23 日 ★ 商品期权市场活跃度 本周（2025.11.17-2025.11.21）商品期权市场成交小幅反弹， 日均成交量为 854 万手，日均持仓量为 1019 万手，环比变化 分别为+10.09%和-0.74%。分品种来看，本周日均成交活跃的 品种主要包括白银（109 万手）、碳酸锂（81 万手）、玻璃 （59 万手）。此外，本周共有 4 个品种成交增长超过 100%， 成交量增长较为显著的品种为合成橡胶（+138%）、对二甲 苯（+121%）、碳酸锂（+120%）、工业硅（109%）。与此 同时，成交量下降较为明显的品种则有原油（-57%）、烧碱 （-52%）和 PTA（-42%）。从持仓量数据来看，本周日均持 仓量较高的品种为玻璃（96 万手）、豆粕（82 万手）和纯碱 （81 万手）。日均持仓量环比增长较为迅速的品种为合工业 硅（+49%）、对二甲苯（+42%）、碳酸锂（+40%）。建议 投资者可重点关注交易活跃品种可能存在的市场机会。 ★ 商品期权主要数据点评 标的涨跌情况：本周商品期权标的期货以下跌 ...

1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report - The trading volume of the commodity options market rebounded slightly this week, with an average daily trading volume of 7.22 million lots and an average daily open interest of 10.01 million lots, showing a week - on - week change of +13.63% and +17.96% respectively. Investors are advised to focus on potential market opportunities in actively traded varieties [1][7]. - The underlying futures of commodity options showed mixed performance in terms of price changes. There are opportunities in varieties with high trading activity, and attention should be paid to the risks and opportunities indicated by factors such as price fluctuations, implied volatility, and option market sentiment [1][2][15]. 3. Summary According to the Table of Contents 3.1 Commodity Options Market Activity - This week, the average daily actively - traded varieties included glass (650,000 lots), lithium carbonate (610,000 lots), and polysilicon (520,000 lots). Five varieties had a trading volume increase of over 100%, with asphalt (+161%), ethylene glycol (+158%), and urea (+156%) showing significant growth. The varieties with a significant decline in trading volume were p - xylene (-83%), log (-58%), and alumina (-47%) [1][7]. - The varieties with a relatively high average daily open interest were glass (1.05 million lots), soda ash (870,000 lots), and glass (840,000 lots). The varieties with a relatively rapid week - on - week increase in average daily open interest were synthetic rubber (+83%), styrene (+66%), and LPG (+51%) [1][7]. 3.2 This Week's Commodity Options Main Data Review - **Underlying Price Changes**: The underlying futures of commodity options showed mixed price changes. The varieties with high weekly increases included rapeseed meal (+6.32%), pulp (+3.49%), and urea (+2.58%); the varieties with high weekly decreases included asphalt (-6.04%), polysilicon (-5.66%), and red dates (-5.47%) [2][15]. - **Market Volatility**: Most commodity option implied volatilities in various sectors decreased this week. Seventeen varieties had their current implied volatility above the 50th percentile of the past year. Varieties with implied volatility at a high level in the past year included live pigs, methanol, and asphalt; those at a low level included sugar, tin, cotton, and manganese silicon [2][15]. - **Option Market Sentiment**: The trading volume PCR of varieties such as apples, eggs, lithium carbonate, LPG, and cotton was at a historical high, indicating strong short - term bearish sentiment. The trading volume PCR of aluminum, ethylene glycol, and corn was at a historical low, showing concentrated short - term bullish sentiment. The open interest PCR of ferrosilicon, soybean meal, silver, and lithium carbonate was at a historical high, while that of aluminum, corn, methanol, palm oil, and plastic was at a historical low [2][15]. 3.3 Main Varieties Key Data Overview - The chapter presents key data of main varieties, including trading volume, volatility, and option market sentiment indicators. More detailed data can be accessed on the Dongzheng Fanwei official website (https://www.finoview.com.cn/) [20]. - Specific sub - sections cover energy (crude oil, LPG, etc.), chemicals (PTA, caustic soda, glass, soda ash), precious metals (silver), ferrous metals (iron ore, manganese silicon), non - ferrous metals (copper, aluminum), and agricultural products (soybean meal, palm oil, cotton), with corresponding data on trading volume, volatility, open interest PCR, and trading volume PCR provided [21][28][59][66][82][97].

1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report - The trading volume of the commodity options market remained at a low level this week, with daily average trading volume and open interest showing a decline. Investors are advised to focus on potential market opportunities in actively traded varieties [1][7]. - This week, the underlying futures of commodity options showed mixed performance, with the chemical sector mostly declining and the non - ferrous sector mostly rising. There were 33 varieties with weekly losses. Attention should be paid to the trading opportunities and risks in different sectors [2][16]. - Most commodity options' implied volatility declined this week. For varieties with high implied volatility, investors should be wary of unilateral risks and consider short - selling volatility; for those with low implied volatility, buying options has a higher cost - performance ratio [2][16]. - The PCR indicators of different varieties reflect different market sentiments. For varieties with high PCR, there is a strong bearish sentiment, while for those with low PCR, there is a concentrated bullish sentiment [2][16]. 3. Summary According to Relevant Catalogs 3.1 Commodity Options Market Activity - This week (from September 8th to September 12th, 2025), the daily average trading volume of the commodity options market was 6.53 million lots, and the daily average open interest was 9.21 million lots, with a week - on - week change of - 5.20% and - 1.17% respectively [1][7]. - Actively traded varieties in terms of daily average trading volume this week included glass (940,000 lots), soda ash (540,000 lots), and silver (430,000 lots). Varieties with significant trading volume growth were lead (+143%), apple (+140%), and crude oil (+111%); those with significant trading volume decline were lithium carbonate (-71%), polysilicon (-70%), and industrial silicon (-59%) [1][7]. - Varieties with high daily average open interest this week were soybean meal (880,000 lots), glass (790,000 lots), and soda ash (770,000 lots). Varieties with rapid week - on - week growth in daily average open interest were apple (+46%), lead (+36%), and alumina (+36%) [1][7]. 3.2 Commodity Options Main Data Review 3.2.1 Underlying Price Movements - This week, the underlying futures of commodity options showed mixed performance, with the chemical sector mostly declining and the non - ferrous sector mostly rising. There were 33 varieties with weekly losses. Varieties with high weekly gains included gold (+2.35%), silver (+2.31%), and aluminum (+2.05%); those with high weekly losses included polysilicon (-5.51%), synthetic rubber (-5.20%), and lithium carbonate (-4.17%) [2][16]. 3.2.2 Market Volatility - Most commodity options' implied volatility declined this week, and 35 varieties' current implied volatility was below the 50th percentile of the past year's history. Varieties with implied volatility at a high level in the past year included polysilicon, industrial silicon, lithium carbonate, and eggs; those at a low level included lead, zinc, p - xylene, urea, and oilseeds [2][16]. 3.2.3 Options Market Sentiment - The trading volume PCR of varieties such as bottle chips and plastics was at a historical high, indicating a strong short - term bearish sentiment. The trading volume PCR of non - ferrous metals, live pigs, and glass was at a historical low, indicating a concentrated short - term bullish sentiment. The open interest PCR of polysilicon and lead was at a historical high, while that of rebar, non - ferrous metals, live pigs, and styrene was at a historical low [2][16]. 3.3 Key Data Overview of Main Varieties This chapter mainly presents key data of main varieties, including trading volume, volatility, and options market sentiment indicators. More detailed data can be found on the Dongzheng Fanwei official website (https://www.finoview.com.cn/) [20].