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].

Core Viewpoint - The document provides a detailed analysis of various options and their implied volatility, indicating potential trading opportunities based on market expectations and historical performance [4][5]. Group 1: Options Analysis - The document lists various options along with their implied volatility percentages, highlighting the top options such as sn2510 at 32.0% and pa2510 at 3.2% [2][3]. - It emphasizes that higher implied volatility suggests a greater likelihood of significant market movements, making these options attractive for trend traders [5]. - The historical volatility for the top options is also provided, with sn2510 showing a significant difference compared to its implied volatility, indicating potential overpricing of options [5]. Group 2: Trading Strategies - The document discusses volatility trading strategies, suggesting that traders can focus on options with high implied volatility for potential gains [5]. - It also mentions that options with lower historical volatility compared to implied volatility may indicate overpriced options, which could be of interest to option sellers [5]. - Day traders are advised to pay attention to the actual daily price movements of the top-ranked options for potential intraday trading opportunities [5].

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]

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - The agricultural products sector shows different trends: oilseeds and oils are in a strong - side oscillation, oils and by - products maintain an oscillatory trend, soft commodities like sugar have a slight oscillation, cotton's bullish rise has declined, and grains such as corn and starch are in a weak and narrow - range consolidation [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 - The latest prices, price changes, trading volumes, and open interest of various agricultural product futures are presented, including soybeans, soybean meal, palm oil, etc. For example, the latest price of soybean No.1 (A2511) is 4,056 with no change, and its trading volume is 8.83 million lots [3]. 3.2 Option Factors - Volume and Open Interest PCR - The volume and open interest PCR of different agricultural product options are provided, which are used to describe the strength of the option underlying market and the turning point of the underlying market respectively. For instance, the volume PCR of soybean No.1 option is 0.32, with a change of - 0.14 [4]. 3.3 Option Factors - Pressure and Support Levels - The pressure and support levels of different agricultural product options are given, which are determined by the strike prices of the maximum open interest of call and put options. For example, the pressure level of soybean No.1 is 4500, and the support level is 4100 [5]. 3.4 Option Factors - Implied Volatility - The implied volatility data of different agricultural product options are presented, including at - the - money implied volatility, weighted implied volatility, and its change. For example, the at - the - money implied volatility of soybean No.1 is 11.985%, and the weighted implied volatility is 14.43% with a change of - 1.72% [6]. 3.5 Option Strategies and Recommendations 3.5.1 Oilseeds and Oils Options - **Soybean No.1 and No.2**: The fundamentals of soybeans are affected by factors such as USDA's adjustment of planting area and yield, and Trump's call for China to buy soybeans. The option strategies include constructing a neutral call + put option combination strategy and a long collar strategy for spot hedging [7]. - **Soybean Meal and Rapeseed Meal**: The fundamentals of soybean meal are related to the monthly purchase volume. The option strategies include constructing a neutral call + put option combination strategy and a long collar strategy for spot hedging [9]. - **Palm Oil, Soybean Oil, and Rapeseed Oil**: The fundamentals of oils are affected by USDA's reports and India's inventory replenishment. The option strategies include constructing a bullish call spread strategy, a long - biased call + put option combination strategy, and a long collar strategy for spot hedging [10]. - **Peanuts**: The fundamentals of peanuts are related to the spot price, import volume, and oil mill operation rate. The option strategies include constructing a bearish put spread strategy and a long collar strategy for spot hedging [11]. 3.5.2 By - product Options - **Pigs**: The supply of pigs is relatively loose, and the demand is stimulated by low prices. The option strategies include constructing a short - biased call + put 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 constructing a bearish put spread strategy and a short - biased call + put option combination strategy [12]. - **Apples**: The cold - storage inventory of apples is at a low level. The option strategies include constructing a neutral call + put option combination strategy [12]. - **Red Dates**: The inventory of red dates is decreasing, and the market is improving. The option strategies include constructing a bullish call spread strategy, a long - biased wide - straddle option combination strategy, and a covered call strategy for spot [13]. 3.5.3 Soft Commodity Options - **Sugar**: The fundamentals of sugar are affected by Brazil's sugar production data. The option strategies include constructing a short - biased call + put option combination strategy and a long collar strategy for spot hedging [13]. - **Cotton**: The fundamentals of cotton are related to the operating rates of spinning and weaving mills and global production. The option strategies include constructing a long - biased call + put option combination strategy and a covered call strategy for spot [14]. 3.5.4 Grain Options - **Corn and Starch**: The fundamentals of corn are affected by USDA's planting area and yield adjustment. The option strategies include constructing a bearish put spread strategy and a short - biased call + put option combination strategy [14]. 3.6 Option Charts - Charts of various agricultural product options are provided, including price trend charts, volume and open interest charts, implied volatility charts, etc., to visually display the market conditions of different agricultural product options [15][34][53].

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - In the past week, the trading volume of commodity options increased slightly, mainly due to the increment brought by the rising volatility of the agricultural products sector. Meanwhile, the trading volume of the non - ferrous and new energy sectors decreased along with the decline of implied volatility. The implied volatility of non - ferrous sector options is at a relatively low level recently, and buying options for price reversal trading can be considered [5]. - The options of contracts such as soybean meal, corn, starch, iron ore, liquefied gas, polypropylene, PVC, plastic, palm oil, soybean No.1, soybean No.2, soybean oil, styrene, ethylene glycol, eggs, live pigs, and log 509 are about to expire. Attention should be paid to the end - of - month risks when changing contracts [5]. 3. Summary According to the Table of Contents 3.1 Market Overview - The trading volume of commodity options increased slightly last week, mainly due to the increment from the agricultural products sector. The trading volume of non - ferrous and new energy sectors decreased, and their implied volatility also declined. The implied volatility of non - ferrous sector options is at a recent low [5]. - The options of certain contracts are about to expire, and attention should be paid to the end - of - month risks [5]. 3.2 Market Data 3.2.1 Market Overview - The trading volume of the overall market this week was 8,808,344.8, with a week - on - week increase of 0.17%. The open interest was 8,996,228, with a week - on - week decrease of 0.27%. Among them, the trading volume of the agricultural products sector increased by 2.45%, that of the energy and chemical sector increased by 0.17%, that of the black sector increased by 0.4%, and that of the precious metals sector increased by 1.26%. The trading volume of the non - ferrous and new energy sectors decreased by 1.82%. The open interest of the agricultural products sector decreased by 0.1%, that of the energy and chemical sector decreased by 0.55%, that of the black sector decreased by 0.19%, and that of the non - ferrous and new energy sectors increased by 0.41% [6]. 3.2.2 - 3.2.55 Various Option Market Data - For each type of option (such as corn, soybean meal, etc.), detailed data on trading volume, open interest, volume PCR, open interest PCR, at - the - money volatility, HV - 10 days, HV - 20 days, and Skew are provided, including data for this week, last week, and their changes [12 - 44]. 3.3 Chart Analysis No relevant content provided.