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]

Market Overview - On August 19, the A-share market experienced a slight decline, with a total transaction volume of 2.64 trillion yuan across the Shanghai and Shenzhen stock exchanges. Over 2900 stocks rose, indicating rapid rotation of market hotspots [1] - Leading sectors included liquor, small metals, home appliances, and traditional Chinese medicine, while previously strong sectors such as insurance, military, securities, gaming, and pharmaceuticals saw the largest declines [1] Options Market Activity - The options market showed a decrease in transaction volume but an increase in open interest. The total options transaction volume for the day was 11.01 million contracts, down 23.60% from the previous trading day, while total open interest rose by 12.52% to 11.35 million contracts [1] - The trading volume for the SSE 50 ETF options decreased by 13.14%, but open interest increased by 13.67%, with a total of 1.76 million contracts traded and 1.94 million contracts in open interest [1] Specific Options Insights - The SSE 300 options also reflected a similar trend, with a significant decrease in transaction volume: down 25.40% for the SSE 300 ETF options and down 36.69% for the CFFEX SSE 300 index options. However, open interest increased by 11.35% for the SSE 300 ETF options [2] - The STAR 50 ETF options saw a decrease in transaction volume by 119.86 million contracts, while open interest increased by 22.74 million contracts, indicating a mixed sentiment in the market [2] Volatility Analysis - The implied volatility of options opened high but declined throughout the day, with the SSE 50 ETF's at-the-money implied volatility at 15%. Historical volatility remained low, with the 30-day historical volatility at 8.87% for the SSE 50 ETF and 9.41% for the SSE 300 index [3] - Overall, the options market showed a comprehensive increase in call options, indicating a potential increase in market pressure in the short term, while put options showed little change [3]

Group 1 - The financial option implied volatility index reflects the 30 - day implied volatility trend as of the previous trading day, and the commodity option implied volatility index is obtained by weighting the implied volatilities of the two - strike options above and below the at - the - money option of the main contract month, reflecting the implied volatility change trend of the main contract [3] - The difference between the implied volatility index and historical volatility: a larger difference indicates that the implied volatility is relatively higher than historical volatility, and a smaller difference means it is relatively lower [3] Group 2 - The implied volatility quantile represents the current level of a variety's implied volatility in history. A high quantile means the current implied volatility is high, and a low quantile means it is low [5] - The volatility spread is the implied volatility index minus the historical volatility [5]

Report Title - The report is titled "Commodity Option Data Daily Report" [3] Report Industry Investment Rating - No industry investment rating is provided in the report Core Viewpoints - The report presents historical volatility, daily fluctuations, and other data of various commodities, and recommends option trading strategies based on the relative levels of commodity volatility [2][4][9] Summary by Relevant Catalogs Commodity Volatility Data - **Historical Volatility and Daily Fluctuations**: Data on historical volatility (HV20, HV40, HV60, HV120) and daily price fluctuations of multiple commodities such as Shanghai Aluminum, Shanghai Copper, and Shanghai Zinc are provided For example, Shanghai Aluminum's main price is 20790 with a 0.63% daily increase, and its HV20 is 7.71% [4] Implied Volatility Data - **主力平值IV and Its Quantile**: Implied volatility data, including the main at - the - money implied volatility (IV) and its quantile, are given for various commodities For instance, the main at - the - money IV of butadiene rubber is 74% with a quantile of 49% [5] Strategy Recommendations - **Selling Strangle for Lithium Carbonate**: Due to the relatively high volatility of lithium carbonate, it is recommended to sell a strangle combination (sell LC2509C80000 + sell LC2509P75000) on July 24, 2025, and use dynamic futures hedging, then close the position when volatility decreases [9] - **Buying Strangle for Iron Ore, Soybean Oil, and Rapeseed Oil**: Given the relatively low volatility of iron ore, soybean oil, and rapeseed oil, it is recommended to buy strangle combinations for these commodities on June 3, 2025, use dynamic futures hedging, and close the position when volatility increases For example, for iron ore, buy I2509C690 + buy I2509P700 [9]

Group 1: Introduction to Volatility Indices - The implied volatility index of financial options reflects the 30 - day implied volatility trend as of the previous trading day, and the implied volatility index of commodity options is weighted by the implied volatility of the two - tier options above and below the at - the - money option of the main contract, reflecting the implied volatility change trend of the main contract [3] - The difference between the implied volatility index and historical volatility, a larger difference indicates that the implied volatility is relatively higher than historical volatility, and a smaller difference means the opposite [3] Group 2: Volatility Data Charts - There are charts showing the implied volatility (IV), historical volatility (HV), and their differences (IV - HV) for various financial and commodity options, including 300 - stock index, 50ETF, 1000 - stock index, 500ETF, silver, soybean meal, corn, etc [4] Group 3: Implied Volatility Quantile and Volatility Spread Quantile - Implied volatility quantile represents the current level of a variety's implied volatility in history. A high quantile means the current implied volatility is high, and a low quantile means it is low. Volatility spread is the difference between the implied volatility index and historical volatility [5] - There are rankings of implied volatility quantiles and historical volatility quantiles for different varieties such as 300 - stock index, 50ETF, PTA, cotton, etc [6]

Report Title - The report is titled "Commodity Option Data Daily Report" [3] Report Core View - The report presents the latest data on commodity options including historical volatility, implied volatility, and provides trading strategy recommendations based on the volatility levels of different commodities [4][5][9] Commodity Option Data Historical Volatility - Various commodities are listed with their respective主力价格, 涨跌幅, 当日波动, and historical volatility (HV20, HV40, HV60, HV120). For example, the主力 price of 沪铝 is 20735 with a 涨跌幅 of 0.29%, and its HV20 is 8% [4] Implied Volatility - Implied volatility data such as 主力平值IV and 主力平值IV分位值 are provided for different commodities. For instance, the 主力平值IV of 二烯橡胶 is 48% and its 主力平值IV分位值 is 97% [5] Historical Trends - Historical trends of some commodities like 工业硅 and 铁矿 are presented graphically [5] Strategy Recommendations - For 碳酸锂, it is recommended to sell a wide - straddle combination (卖出LC2509C80000 and 卖出LC2509P75000) on 2025.7.24 as its volatility is relatively high [9] - For 铁矿石, 豆油, and 菜油, it is recommended to buy a wide - straddle combination on 2025.6.3 as their volatilities are relatively low. For example, for 铁矿石, buy 买入I2509C690 and 买入I2509P700 [9]

Group 1: Implied Volatility Index and Historical Volatility - The financial option implied volatility index reflects the 30 - day implied volatility (IV) trend as of the previous trading day. The commodity option implied volatility index is obtained by weighting the IV of the two - strike options around the at - the - money option of the front - month contract, reflecting the IV change trend of the front - month contract [3] - 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 [3] Group 2: Implied Volatility and Historical Volatility Graphs - 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 silver, soybean meal, corn, etc [4] Group 3: Implied Volatility Quantile and Volatility Spread Quantile Ranking - Implied volatility quantile represents 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. Volatility spread is the difference between the implied volatility index and historical volatility [5] - The document provides the implied volatility quantile rankings for different options, such as PVC with a quantile of 0.92, PTA with 0.39, etc [6]

Group 1: Introduction to Volatility Data - The financial option implied volatility index reflects the 30 - day implied volatility (IV) trend as of the previous trading day, and the commodity option implied volatility index is obtained by weighting the IV of the two - strike options above and below the at - the - money option of the main contract, reflecting the IV change trend of the main 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: Volatility Index Charts - Charts show 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 like silver, soybean meal, corn, etc [3] Group 3: Implied Volatility Quantile and Volatility Spread Quantile - Implied volatility quantiles represent the current level of a variety's IV in history. A high quantile means high current IV, and a low quantile means low current IV. Volatility spread refers to the difference between the IV index and historical volatility [4] - Quantile rankings are provided for different options such as PVC, PTA, 50ETF, 300 - stock index, etc [5]

Market Performance Summary - The Shanghai Composite Index rose 0.45% to 3639.99 points, the Shenzhen Component Index rose 0.64%, the ChiNext Index rose 0.66%, the North Exchange 50 rose 1.58%, the STAR 50 rose 0.58%, the Wind All A rose 0.62%, the Wind A500 rose 0.35%, and the CSI A500 rose 0.41%. A-share trading volume reached 1.76 trillion yuan, compared with 1.62 trillion yuan the previous day [8] Index Quotes Index Closing Prices and Changes - The Shanghai 50 closed at 2797.4234, up 0.24%, with a trading volume of 884.43 billion yuan and a turnover of 41.18 billion [4] - The CSI 300 closed at 4113.4852, up 0.24%, with a trading volume of 3076.75 billion yuan and a turnover of 176.68 billion [4] - The CSI 1000 closed at 6861.3091, up 1.09%, with a trading volume of 3990.56 billion yuan and a turnover of 258.13 billion [4] CFFEX Stock Index Option Trading - For the Shanghai 50, option trading volume was 2.85 million contracts (1.87 million for call options and 0.98 million for put options, PCR 0.53), and open interest was 7.50 million contracts (4.80 million for call options and 2.70 million for put options, PCR 0.56) [4] - For the CSI 300, option trading volume was 7.28 million contracts (4.88 million for call options and 2.40 million for put options, PCR 0.49), and open interest was 20.85 million contracts (12.11 million for call options and 8.73 million for put options, PCR 0.72) [4] - For the CSI 1000, option trading volume was 23.48 million contracts (13.24 million for call options and 10.24 million for put options, PCR 0.77), and open interest was 28.43 million contracts (13.49 million for call options and 14.93 million for put options, PCR 1.11) [4] Volatility Analysis Shanghai 50 Volatility - Historical volatility and next - month at - the - money implied volatility curves are presented [8][12] CSI 300 Volatility - Historical volatility and next - month at - the - money implied volatility curves are presented [12] CSI 1000 Volatility - Historical volatility and next - month at - the - money implied volatility curves are presented [9]

Group 1: Volatility Index Explanation - 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 options above and below the at - the - money option of the main contract, reflecting the IV change trend of the main contract [2] - The difference between the implied volatility 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: Volatility Data Graphs - There are graphs showing the IV, HV, and IV - HV differences of various financial and commodity options, including 300 - stock index, 50ETF, 1000 - stock index, 500ETF, silver, soybean meal, corn, sugar, cotton, methanol, rubber, iron ore, PTA, crude oil, copper, aluminum, PVC, rebar, zinc, urea, soybean oil, palm oil, and rapeseed oil [3] Group 3: Implied Volatility and Historical Volatility 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. Volatility spread is the difference between the implied volatility index and historical volatility [4] - The implied volatility and historical volatility quantile rankings of various commodities such as PVC, PTA, iron ore, cotton, 50ETF, 300 - stock index are presented, with specific quantile values provided [5]