1. Report Industry Investment Rating - Not provided in the given content 2. Core Viewpoints of the Report - The agricultural product options market shows a mixed trend, with oilseeds and oils being weakly volatile, while some products like apples show a warming - up trend. Strategies mainly focus on constructing option combination strategies based on sellers to enhance returns [2]. 3. Summary by Relevant Catalogs 3.1 Futures Market Overview - Various agricultural product futures have different price changes, such as a 0.13% decline in soybean No.1 (A2511), a 0.22% decline in soybean No.2 (B2511), and a 0.49% increase in peanuts (PK2511) [3]. 3.2 Option Factor - Volume and Open Interest PCR - Different option varieties have different volume and open - interest PCR values, which reflect the strength of the option underlying market and the turning point of the market. For example, the volume PCR of soybean No.1 is 0.60, and the open - interest PCR is 0.49 [4]. 3.3 Option Factor - Pressure and Support Levels - The pressure and support levels of different option varieties are analyzed. For instance, the pressure level of soybean No.1 is 4000, and the support level is 3900 [5]. 3.4 Option Factor - Implied Volatility - The implied volatility of different option varieties shows different trends. For example, the implied volatility of soybean No.1 is 11.265%, and the weighted implied volatility is 13.07% [6]. 3.5 Option Strategies for Different Product Categories 3.5.1 Oilseeds and Oils Options - **Soybean No.1**: Build a short - biased call + put option combination strategy and a long collar strategy for spot hedging [8]. - **Soybean Meal**: Construct a bear - spread put option strategy, a short - biased call + put option combination strategy, and a long collar strategy for spot hedging [10]. - **Palm Oil**: Build a short - biased call + put option combination strategy and a long collar strategy for spot hedging [11]. - **Peanuts**: Construct a bear - spread put option strategy and a long collar strategy for spot hedging [12]. 3.5.2 Agricultural By - product Options - **Pigs**: Build a short - biased call + put option combination strategy and a long - spot + short - out - of - the - money call option strategy [12]. - **Eggs**: Construct a bear - spread put option strategy, a short - biased call + put option combination strategy [13]. - **Apples**: Build a long - biased call + put option combination strategy [13]. - **Jujubes**: Build a long - biased wide - straddle option combination strategy and a long - spot + short - out - of - the - money call option strategy [14]. 3.5.3 Soft Commodity Options - **Sugar**: Build a short - biased call + put option combination strategy and a long collar strategy for spot hedging [14]. - **Cotton**: Build a short - biased call + put option combination strategy and a long - spot + long - put + short - out - of - the - money call option strategy [15]. 3.5.4 Grain Options - **Corn**: Build a short - biased call + put option combination strategy [15].

1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report - The agricultural product options market shows a mixed trend, with oilseeds and oils in a weak and volatile state, while some agricultural by - products and soft commodities are in a volatile or weak - consolidating situation. - It is recommended to construct option portfolio strategies mainly as sellers, along with spot hedging or covered strategies to enhance returns [2]. 3. Summary by Relevant Catalogs 3.1 Futures Market Overview - Various agricultural product futures show different price changes. For example, the latest price of soybean A2511 is 3,938, down 2 (-0.05%); the price of soybean meal M2511 is 2,903, down 13 (-0.45%); and the price of palm oil P2511 is 9,224, up 16 (0.17%) [3]. 3.2 Option Factors - Volume and Open Interest PCR - Different option varieties have different volume and open - interest PCR values and their changes. For instance, the volume PCR of soybean A is 0.42, down 0.06; the open - interest PCR is 0.47, up 0.02 [4]. 3.3 Option Factors - Pressure and Support Levels - Each option variety has corresponding pressure and support levels. For example, the pressure level of soybean A is 4000, and the support level is 3900; the pressure level of soybean meal is 3100, and the support level is 3050 [5]. 3.4 Option Factors - Implied Volatility - Implied volatility varies among different option varieties. For example, the weighted implied volatility of soybean A is 13.00, up 0.26; the weighted implied volatility of soybean meal is 16.37, up 0.45 [6]. 3.5 Option Strategies for Different Product Categories 3.5.1 Oilseeds and Oils Options - **Soybean A**: The implied volatility is below the historical average. The recommended strategies include constructing a short - biased call + put option combination strategy and a long collar strategy for spot hedging [8]. - **Soybean Meal**: The implied volatility is below the historical average. Directional strategy: construct a bear - spread put option combination; volatility strategy: construct a short - biased call + put option combination; spot hedging: use a long collar strategy [10]. - **Palm Oil**: The implied volatility is falling below the historical average. Volatility strategy: construct a short - biased call + put option combination; spot hedging: use a long collar strategy [11]. - **Peanut**: The implied volatility is at a relatively high historical level. Directional strategy: construct a bear - spread put option combination; spot hedging: hold a long position in the spot + buy a put option + sell an out - of - the - money call option [12]. 3.5.2 Agricultural By - products Options - **Pig**: The implied volatility is above the historical average. Volatility strategy: construct a short - biased call + put option combination; spot covered strategy: hold a long position in the spot + sell an out - of - the - money call option [12]. - **Egg**: The implied volatility is relatively high. Directional strategy: construct a bear - spread put option combination; volatility strategy: construct a short - biased call + put option combination [13]. - **Apple**: The implied volatility is above the historical average. Volatility strategy: construct a long - biased call + put option combination [13]. - **Jujube**: The implied volatility is rising above the historical average. Volatility strategy: construct a short - biased strangle option combination; spot covered hedging strategy: hold a long position in the spot + sell an out - of - the - money call option [14]. 3.5.3 Soft Commodities Options - **Sugar**: The implied volatility is at a relatively low historical level. Volatility strategy: construct a short - biased call + put option combination; spot hedging: use a long collar strategy [14]. - **Cotton**: The implied volatility is at a low level. Volatility strategy: construct a short - biased call + put option combination; spot covered strategy: hold a long position in the spot + buy a put option + sell an out - of - the - money call option [15]. 3.5.4 Grains Options - **Corn**: The implied volatility is at a relatively low historical level. Volatility strategy: construct a short - biased call + put option combination [15].

1. Report Industry Investment Rating - Not provided in the content 2. Core Viewpoints of the Report - The agricultural product options market shows different trends across various sectors. Oilseeds and oils are weakly volatile, while agricultural by - products, soft commodities, and grains maintain their respective oscillating patterns. It is recommended to construct option combination strategies mainly based on sellers, along with spot hedging or covered strategies to enhance returns [2]. 3. Summary by Relevant Catalogs 3.1 Futures Market Overview - Different agricultural product futures show diverse price changes. For example, the latest price of soybean No.1 (A2511) is 3,898, with a rise of 6 and a rise - fall rate of 0.15%; the latest price of soybean No.2 (B2511) is 3,670, with no change [3]. 3.2 Option Factors - Volume and Open Interest PCR - The volume and open - interest PCR of different options vary. For instance, the volume PCR of soybean No.1 is 0.57 with a change of 0.01, and the open - interest PCR is 0.43 with a change of 0.01 [4]. 3.3 Option Factors - Pressure and Support Levels - Each option has its corresponding pressure and support levels. For example, the pressure point of soybean No.1 is 3,950 and the support point is 3,900 [5]. 3.4 Option Factors - Implied Volatility - The implied volatility of different options also shows differences. For example, the at - the - money implied volatility of soybean No.1 is 9.91%, and the weighted implied volatility is 12.19% with a change of - 0.98% [6]. 3.5 Strategy and Recommendations 3.5.1 Oilseeds and Oils Options - **Soybean No.1 and No.2**: The fundamental situation of US soybeans has a neutral - to - negative impact. The option strategy includes constructing a selling option combination strategy and a long collar strategy for spot hedging [7]. - **Soybean Meal and Rapeseed Meal**: The daily提货量 of soybean meal has increased, and the basis has decreased. The option strategies include a bear spread strategy for direction and a selling option combination strategy for volatility, as well as a long collar strategy for spot hedging [9]. - **Palm Oil, Soybean Oil, and Rapeseed Oil**: The palm oil inventory in Malaysia is expected to increase. The option strategies include a selling option combination strategy and a long collar strategy for spot hedging [10]. - **Peanuts**: The price of peanuts shows a weak consolidation pattern. The option strategies include a bear spread strategy and a long collar strategy for spot hedging [11]. 3.5.2 Agricultural By - products Options - **Pigs**: The supply pressure of pigs is large. The option strategies include a selling option combination strategy and a covered call strategy for spot [11]. - **Eggs**: The inventory of laying hens is expected to increase. The option strategies include a bear spread strategy and a selling option combination strategy, but no spot hedging strategy [12]. - **Apples**: The consumption market of apples is warming up. The option strategies include a selling option combination strategy, but no spot hedging strategy [12]. - **Jujubes**: The inventory of jujubes has decreased slightly. The option strategies include a wide - straddle selling strategy and a covered call strategy for spot hedging [13]. 3.5.3 Soft Commodities Options - **Sugar**: The low inventory of domestic sugar supports the price, but the sales volume is lower than expected. The option strategies include a selling option combination strategy and a long collar strategy for spot hedging [13]. - **Cotton**: The开机率 of spinning and weaving mills has changed, and the commercial inventory has decreased. The option strategies include a selling option combination strategy and a covered call strategy for spot [14]. 3.5.4 Grains Options - **Corn and Starch**: The corn yield is expected to increase. The option strategies include a selling option combination strategy, but no spot hedging strategy [14].

1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report - The agricultural product options market shows a mixed trend, with oilseeds and oils, and some agricultural by - products in a weak and volatile state, while soft commodities like sugar and cotton also present different degrees of weak fluctuations [2]. - It is recommended to construct option portfolio strategies mainly based on sellers, as well as spot hedging or covered strategies to enhance returns [2]. 3. Summary by Relevant Catalogs 3.1 Futures Market Overview - Various agricultural product futures show different price changes, trading volumes, and open interest changes. For example, the price of soybean No.1 (A2511) decreased by 0.49% to 3,895, with a trading volume of 12.17 million lots and an open interest of 22.65 million lots [3]. 3.2 Option Factors 3.2.1 Volume - to - Open - Interest PCR - Different option varieties have different volume - to - open - interest PCR values and their changes. For instance, the volume PCR of soybean No.1 is 0.55 with a change of 0.13, and the open - interest PCR is 0.42 with a change of 0.01 [4]. 3.2.2 Pressure and Support Levels - Each option variety has corresponding pressure and support levels. For example, the pressure level of soybean No.1 is 3,950 and the support level is 3,900 [5]. 3.2.3 Implied Volatility - The implied volatility of different option varieties also varies. For example, the at - the - money implied volatility of soybean No.1 is 10.555%, and the weighted implied volatility is 13.17% with a change of - 0.34% [6]. 3.3 Strategy and Recommendations 3.3.1 Oilseeds and Oils Options - **Soybean No.1 and No.2**: The fundamentals of US soybeans have a neutral - to - negative impact. The implied volatility of soybean No.1 options remains at a relatively high level compared to historical averages. Directional strategies are not recommended, while a volatility strategy of selling a neutral call + put option combination is suggested, along with a spot long - hedging strategy of a long collar [7]. - **Soybean Meal and Rapeseed Meal**: For soybean meal, the daily提货 volume increased slightly, the basis decreased week - on - week, and the inventory increased week - on - week but decreased year - on - year. A bear - spread strategy for put options and a volatility strategy of selling a bearish call + put option combination are recommended, along with a long collar strategy for spot hedging [9]. - **Palm Oil, Soybean Oil, and Rapeseed Oil**: The palm oil inventory in Malaysia reached a 20 - month high. A volatility strategy of selling a bullish call + put option combination and a long collar strategy for spot hedging are recommended for palm oil [10]. - **Peanuts**: The price of peanuts showed a weak consolidation pattern. A bear - spread strategy for put options and a long collar strategy for spot hedging are recommended [11]. 3.3.2 Agricultural By - products Options - **Pigs**: The supply pressure in September is large, and the market is in a weak consolidation state. A volatility strategy of selling a bearish call + put option combination and a covered call strategy for spot are recommended [11]. - **Eggs**: The inventory of laying hens is expected to increase. A bear - spread strategy for put options and a volatility strategy of selling a bearish call + put option combination are recommended [12]. - **Apples**: The consumption market of apples is gradually warming up. A volatility strategy of selling a bullish call + put option combination is recommended [12]. - **Jujubes**: The inventory of jujubes decreased slightly. A volatility strategy of selling a bearish strangle option combination and a covered call strategy for spot hedging are recommended [13]. 3.3.3 Soft Commodities Options - **Sugar**: The low inventory of domestic sugar supports the price, but the sales volume in August was lower than expected. A volatility strategy of selling a bearish call + put option combination and a long collar strategy for spot hedging are recommended [13]. - **Cotton**: The开机率 of spinning and weaving factories and the commercial inventory of cotton have different changes. A volatility strategy of selling a bullish call + put option combination and a covered call strategy for spot are recommended [14]. 3.3.4 Cereal Options - **Corn and Starch**: The corn production is expected to increase. A volatility strategy of selling a bearish call + put option combination is recommended for corn [14].

Report Industry Investment Rating - No relevant information provided Core Viewpoints - In the past week, trading volume and implied volatility of commodity options decreased in almost all sectors. In the energy and chemical sector, the trading volume of p-xylene at the end of its option cycle significantly boosted the trading enthusiasm of the entire sector. The option trading volume of glass and soda ash returned to a high level. Given the pressure in the futures market, using options to capture trading opportunities is relatively safe. [5] - Due to the impact of interest rate cuts, the implied volatility of precious metal options rose in direct proportion to the futures price, and the skewness was at a relatively high level. Attention could be paid to the signal of volatility decline for right-side trading. [5] - In the agricultural products sector, the long position of cotton call options increased, and the trading volume of put options increased significantly. The volatility skewness declined from a high level. Consider selling at-the-money call options and buying out-of-the-money call options for protection. [5] Summary by Directory 1. Market Overview - The trading volume and implied volatility of commodity options decreased in almost all sectors last week. The end-of-cycle trading volume of p-xylene in the energy and chemical sector boosted the trading enthusiasm of the entire sector. The option trading volume of glass and soda ash returned to a high level. The futures market still faced pressure, and using options to capture trading opportunities was relatively safe. [5] - Affected by interest rate cuts, the implied volatility of precious metal options rose in direct proportion to the futures price, and the skewness was at a relatively high level. Attention could be paid to the signal of volatility decline for right-side trading. [5] - In agricultural products, the long position of cotton call options increased, and the trading volume of put options increased significantly. The volatility skewness declined from a high level. Consider selling at-the-money call options and buying out-of-the-money call options for protection. [5] 2. Market Data 2.1 Market Overview - Provided the quantitative data of commodity options, including the volatility, 60-day quantile, skewness, and 60-day quantile of various commodities such as corn, soybean meal, and palm oil [13]. 2.2 - 2.55 Individual Option Market Data - Detailed market data for various options were presented, including contract information, trading volume, open interest, volume PCR, open interest PCR, implied volatility, historical volatility, and skewness. For example, in the corn option market, the trading volume and open interest of call and put options, as well as their changes compared to the previous week, were provided [14][15][16].

Group 1 - The implied volatility of various commodity options has decreased, indicating a cooling market sentiment [1] - As of the latest closing, the implied volatility for crude oil options is 28.91%, down 4.35% from the previous week [1] - Lithium carbonate options implied volatility stands at 42.69%, a decrease of 5.54% week-over-week [1] Group 2 - The trading volume of commodity options has significantly dropped by 24.45% compared to the previous week [1] - Open interest in commodity options has also decreased by 24.29% week-over-week, reflecting a notable decline in market activity [1] - The implied volatility for lithium carbonate and soda ash options has fallen by over 4 percentage points, currently positioned in the historical 60%-70% and 30%-40% percentile levels, respectively [1]

Report Summary 1. Industry Investment Rating No industry investment rating is provided in the report. 2. Core Viewpoints - This week, the trading volume of commodity options decreased significantly by 24.45% compared to last week, and the open interest decreased by 24.29%. The market sentiment of commodity options cooled significantly, and the implied volatility of options generally declined [2][4]. - The implied volatility of lithium carbonate and soda ash options decreased by more than 4 percentage points compared to last Friday and are currently at the 60%-70% and 30%-40% historical quantile levels respectively [2][4]. 3. Summary of Relevant Content Volatility - As of Friday's close, the implied volatility of crude oil options was 28.91%, a decrease of 4.35% from a week ago; lithium carbonate options was 42.69%, a decrease of 5.54%; rebar options was 11.35%, a decrease of 0.46%; soda ash options was 18.20%, a decrease of 1.48%; gold options was 15.51%, a decrease of 0.25%; silver options was 18.06%, a decrease of 0.21%; palm oil options was 15.61%, an increase of 0.14%; soybean oil options was 21.60%, an increase of 2.06%; rapeseed oil options was 19.84%, a decrease of 0.35%; rubber options was 12.69%, a decrease of 2.85% [1][4]. Figures - There are multiple figures in the report, including those showing the trading volume and open interest, implied volatility and historical volatility, skewness structure, and term structure of various commodity options such as crude oil, lithium carbonate, rebar, soda ash, gold, silver, palm oil, soybean oil, rapeseed oil, and rubber [5][13][20].

Report Industry Investment Rating No relevant information provided. Core View of the Report The report analyzes the activity, price changes, market volatility, and sentiment of the commodity options market in the 34th week of 2025 (August 18 - August 22). It suggests investors focus on trading opportunities in actively traded varieties and provides insights on potential risks and opportunities based on price movements and volatility [1][2]. Summary by Directory 1. Commodity Options Market Activity - Market activity declined compared to last week, with average daily trading volume at 6.46 million lots and average daily open interest at 7.32 million lots, down 26.6% and 28.23% respectively [1][6]. - Actively traded varieties included soda ash (590,000 lots), glass (510,000 lots), and palm oil (400,000 lots) [1][6]. - Three varieties saw trading volume growth of over 100%, with p-xylene (+1327%), synthetic rubber (+125%), and staple fiber (+122%) showing significant increases [1][6]. - Varieties with significant trading volume declines were rapeseed meal (-85%), rapeseed oil (-85%), and soybean oil (-72%) [1][6]. - Varieties with high average daily open interest were rebar (630,000 lots), soda ash (620,000 lots), and soybean meal (600,000 lots) [1][6]. - Varieties with rapid open interest growth were p-xylene (+188%), synthetic rubber (+77%), and polysilicon (+50%) [1][6]. 2. This Week's Commodity Options Main Data Review - **Underlying Price Changes**: Most commodity option underlying futures declined, with 37 varieties closing lower for the week. High weekly gainers included caustic soda (+4.26%), p-xylene (+4.16%), and staple fiber (+3.34%); high weekly losers were lithium carbonate (-9.14%), soda ash (-4.95%), and ferrosilicon (-9.14%) [2][15]. - **Market Volatility**: The implied volatility of some commodity options declined weekly, with 39 varieties having current implied volatility below the 50th percentile of the past year. Varieties at historical highs included polysilicon, eggs, and industrial silicon; those at historical lows included the agricultural products sector and non-ferrous metals [2][15]. - **Options Market Sentiment**: Varieties such as lithium carbonate and soybean meal had high volume PCRs, indicating strong short-term bearish sentiment. Varieties like ethylene glycol, styrene, aluminum, and PTA had low volume PCRs, showing concentrated short-term bullish sentiment. Lithium carbonate, polysilicon, caustic soda, and soda ash had high open interest PCRs, suggesting high bearish sentiment; while styrene, ethylene glycol, nickel, and plastic had low open interest PCRs, indicating bullish sentiment accumulation [2][15]. 3. Key Data Overview of Major Varieties This chapter presents key data on major varieties, including trading volume, volatility, and options market sentiment indicators. More detailed data can be accessed on the Dongzheng Fanwei official website (https://www.finoview.com.cn/) [19]. - **Energy**: Data on crude oil, including trading volume, volatility, open interest PCR, and volume PCR, are presented through various charts [20][22][23]. - **Chemicals**: - **PTA**: Data on trading volume, volatility, open interest PCR, and volume PCR are presented through charts [26][27][29]. - **Caustic Soda**: Similar data are presented for caustic soda [35][36][38]. - **Glass**: Data on glass are presented in a similar manner [42][43][44]. - **Soda Ash**: Data on soda ash are presented through charts [48][49][52]. - **Precious Metals**: Data on silver, including trading volume, volatility, open interest PCR, and volume PCR, are presented through charts [54][55][56]. - **Ferrous Metals**: - **Iron Ore**: Data on iron ore are presented through charts [62][63][66]. - **Silicomanganese**: Similar data are presented for silicomanganese [70][71][72]. - **Non-Ferrous Metals**: - **Copper**: Data on copper are presented through charts [77][78][84]. - **Alumina**: Data on alumina are presented in a similar manner [93][88][90]. - **Agricultural Products**: - **Soybean Meal**: Data on soybean meal are presented through charts [94][96][98]. - **Palm Oil**: Similar data are presented for palm oil [102][110][103]. - **Cotton**: Data on cotton are presented through charts [111][112][113].

Group 1: Implied Volatility Index and Its Calculation - The implied volatility index of financial options reflects the 30 - day implied volatility (IV) trend as of the previous trading day. The implied volatility index of commodity options is obtained by weighting the IV of the two strike - prices above and below the at - the - money option of the front - month contract, reflecting the IV change trend of the front - month contract [2] - The difference between the IV index and historical volatility (HV) indicates the relative level of IV to HV. A larger difference means higher IV relative to HV, and a smaller difference means lower IV relative to HV [2] Group 2: Implied Volatility and Historical Volatility Difference Graph - The document presents graphs showing the IV, HV, and IV - HV differences for various financial and commodity options, including 300 - stock index, 50ETF, 1000 - stock index, 500ETF, and many commodity options such as soybeans, corn, sugar, cotton, etc [3] Group 3: Implied Volatility Quantile and Volatility Spread Quantile Ranking - Implied volatility quantiles represent the current level of a variety's IV in history. A high quantile means the current IV is high, and a low quantile means the current IV is low. The volatility spread is calculated as the IV index minus the historical volatility [4] - The implied volatility quantile rankings are provided for different options, such as 50ETF with a quantile of 0.79, 300 - stock index with 0.80, iron ore with 0.37, PVC with 0.46, etc [5][7]

Key Points of the Report Core Concepts - The implied volatility index of financial options reflects the 30 - day implied volatility trend as of the previous trading day. The implied volatility index of commodity options is obtained by weighting the implied volatilities of the two - point - up and - down options at the at - the - money strike price of the main contract month, reflecting the implied volatility change trend of the main contract [2]. - The difference between the implied volatility index and historical volatility shows the relative level of implied volatility to historical volatility. A larger difference means the implied volatility is relatively higher, and a smaller difference means it is relatively lower [2]. - The implied volatility quantile represents the current implied volatility level of a variety in history. A high quantile means the current implied volatility is high, and a low quantile means it is low. The volatility spread is the implied volatility index minus the historical volatility [4]. Implied Volatility and Historical Volatility Data - The report presents the implied volatility (IV), historical volatility (HV), and their differences (IV - HV) of various options, including 300 Index, 50ETF, 1000 Index, 500ETF, and many commodity options such as soybean meal, corn, sugar, cotton, etc. [3] Implied Volatility Quantile and Volatility Spread Quantile Ranking - The report shows the ranking of implied volatility quantiles and historical volatility quantiles of different varieties, such as 300 Index, PVC, PTA, corn, etc. [4][5]