永安期货期权总部 、隐波指教分位教与波动率价差分位数排名图 1 ↓ 隐波分位数代表当前品种隐波在历史上的水平 • 分位教高代表当前隐疫隔高 • 分位数低代表稳疲偏低 • 2 ‹ 波动率价差书急按指数•历史皮 动率。 波动率数据日报 更新时间:2025/11/24 、隐含波动率指数、历史波动率及其价差走势图 1、金融期权隐含波动率指数反映截止上一交易日的30日隐波走势,商品期权隐含波动 率指数通过主力月平值期权上下两档隐波加权所得,反映主力合约的隐波变化趋势。2 隐波指数与历史波动率的差值,差值越大反映隐波相对历史波动率越高,差值越小代 表隐波相对历史波动率越低。 70 -300股指 IV -- 300股指 HV IV-HV美 IIV-HV套 - 50ETF IV - 50ETF HV 20 BO IV-HV差 -- 1000股指 IV -- 1000股指 HV - 500ETF IV - 500ETF HV V-HV专 ZID 10 20 白银 IV 日银 HV IV-HV美 沪金 IV IV-HV旁 HV per and 08 Mrs 一豆粕 IV 空期 HV IV-HV美 -王米IV 玉米 HV IV-H ...

南华期权周报 I 2025/11/17—2025/11/21 隐波上升，金融、商品市场整体下跌 本周摘要 金融期权方面，50ETF 期权本周日均成交量为 80.63 万张， 较前周下降 0.00%，其中认沽期权成交量高于认购期权，认沽-认 购成交比为 1.04，相对前周有所下降，高于历史均值水平。上周 认沽认购持仓比为 0.98，较前周下降，高于历史均值。华泰柏瑞 300ETF 期权日均成交 98.95 万张，日均持仓量 146.93 万张；南 方中证 500ETF 期权日均成交 145.55 万张，日均持仓量 145.36 万张；华夏上证科创 50ETF 期权日均成交 118.44 万张，日均持 仓量 247.69 万张；深证 100ETF 期权日均成交 8.7 万张，日均持 仓量 13.98 万张；创业板 ETF 期权日均成交 184.65 万张，日均 持仓量 198.33 万张；沪深 300 股指期权日均成交 11.88 万手， 日均持仓量 21.09 万手；中证 1000 股指期权日均成交 26.93 万 手，日均持仓 32.31 万手。 波动率方面，截止本周五收盘，沪深 300 股指期权隐含波动 率 ...

1. Report Industry Investment Rating - No information provided in the content 2. Core Viewpoints of the Report - The stock market, including the Shanghai Composite Index, large - cap blue - chip stocks, small and medium - cap stocks, and ChiNext stocks, shows a high - level volatile upward market trend [2]. - The implied volatility of financial options has decreased but remains at a relatively high level of fluctuation [2]. - For ETF options, it is suitable to construct a bullish buyer strategy and a bull spread strategy for call options; for index options, it is suitable to construct a bullish seller strategy, a bull spread strategy for call options, and an arbitrage strategy between synthetic long futures of options and short futures [2]. 3. Summary by Relevant Catalogs 3.1 Financial Market Important Indexes - The Shanghai Composite Index closed at 3,931.05, down 15.69 (-0.40%), with a trading volume of 711.3 billion yuan, a decrease of 9.6 billion yuan, and a PE of 16.46 [3]. - The Shenzhen Component Index closed at 12,980.82, down 99.27 (-0.76%), with a trading volume of 996.8 billion yuan, a decrease of 8.2 billion yuan, and a PE of 29.93 [3]. - The Shanghai 50 Index closed at 3,008.29, down 12.06 (-0.40%), with a trading volume of 101 billion yuan, an increase of 1.4 billion yuan, and a PE of 12.03 [3]. - The SSE 300 Index closed at 4,564.95, down 23.34 (-0.51%), with a trading volume of 415.1 billion yuan, an increase of 29.8 billion yuan, and a PE of 14.14 [3]. - The CSI 500 Index closed at 7,061.95, down 60.80 (-0.85%), with a trading volume of 254.2 billion yuan, a decrease of 2.6 billion yuan, and a PE of 32.17 [3]. - The CSI 1000 Index closed at 7,340.41, down 46.80 (-0.63%), with a trading volume of 356.7 billion yuan, a decrease of 10.5 billion yuan, and a PE of 46.45 [3]. 3.2 Option - underlying ETF Market - The Shanghai 50 ETF closed at 3.156, down 0.009 (-0.28%), with a trading volume of 3.8637 million shares, an increase of 3.7926 million shares, and a trading value of 1.225 billion yuan, a decrease of 1.029 billion yuan [4]. - The Shanghai 300 ETF closed at 4.676, down 0.021 (-0.45%), with a trading volume of 5.6194 million shares, an increase of 5.5337 million shares, and a trading value of 2.645 billion yuan, a decrease of 1.382 billion yuan [4]. - The Shanghai 500 ETF closed at 7.170, down 0.057 (-0.79%), with a trading volume of 3.0324 million shares, an increase of 3.0077 million shares, and a trading value of 2.184 billion yuan, an increase of 0.397 billion yuan [4]. - The Huaxia Science and Technology Innovation 50 ETF closed at 1.396, down 0.017 (-1.20%), with a trading volume of 23.5876 million shares, an increase of 23.399 million shares, and a trading value of 3.317 billion yuan, an increase of 0.644 billion yuan [4]. - The E Fund Science and Technology Innovation 50 ETF closed at 1.352, down 0.017 (-1.24%), with a trading volume of 6.5031 million shares, an increase of 6.4286 million shares, and a trading value of 0.886 billion yuan, a decrease of 0.137 billion yuan [4]. - The Shenzhen 300 ETF closed at 4.826, down 0.019 (-0.39%), with a trading volume of 1.2255 million shares, an increase of 1.2138 million shares, and a trading value of 0.594 billion yuan, an increase of 0.029 billion yuan [4]. - The Shenzhen 500 ETF closed at 2.865, down 0.024 (-0.83%), with a trading volume of 0.594 million shares, an increase of 0.5872 million shares, and a trading value of 0.171 billion yuan, a decrease of 0.026 billion yuan [4]. - The Shenzhen 100 ETF closed at 3.363, down 0.021 (-0.62%), with a trading volume of 0.6624 million shares, an increase of 0.6534 million shares, and a trading value of 0.225 billion yuan, a decrease of 0.081 billion yuan [4]. - The ChiNext ETF closed at 3.026, down 0.031 (-1.01%), with a trading volume of 13.808 million shares, an increase of 13.6755 million shares, and a trading value of 4.222 billion yuan, an increase of 0.162 billion yuan [4]. 3.3 Option Factors - Volume and Position PCR - For the Shanghai 50 ETF option, the trading volume was 978,500 contracts, a decrease of 38,300 contracts; the open interest was 1,510,500 contracts, a decrease of 19,200 contracts; the volume PCR was 0.94, a decrease of 0.12; the position PCR was 0.87, a decrease of 0.02 [5]. - For the Shanghai 300 ETF option, the trading volume was 1,167,700 contracts, a decrease of 68,200 contracts; the open interest was 1,443,800 contracts, an increase of 3,800 contracts; the volume PCR was 0.94, a decrease of 0.20; the position PCR was 0.91, a decrease of 0.04 [5]. - For the Shanghai 500 ETF option, the trading volume was 1,603,400 contracts, an increase of 34,900 contracts; the open interest was 1,492,900 contracts, an increase of 22,400 contracts; the volume PCR was 0.93, a decrease of 0.17; the position PCR was 1.04, a decrease of 0.04 [5]. - For the Huaxia Science and Technology Innovation 50 ETF option, the trading volume was 1,440,700 contracts, a decrease of 27,400 contracts; the open interest was 2,532,800 contracts, an increase of 33,700 contracts; the volume PCR was 0.69, a decrease of 0.16; the position PCR was 0.79, a decrease of 0.03 [5]. - For the E Fund Science and Technology Innovation 50 ETF option, the trading volume was 323,700 contracts, an increase of 28,100 contracts; the open interest was 669,100 contracts, an increase of 12,900 contracts; the volume PCR was 1.03, a decrease of 0.01; the position PCR was 0.77, a decrease of 0.01 [5]. - For the Shenzhen 300 ETF option, the trading volume was 182,700 contracts, a decrease of 15,500 contracts; the open interest was 327,400 contracts, a decrease of 10,000 contracts; the volume PCR was 1.03, a decrease of 0.56; the position PCR was 0.91, a decrease of 0.07 [5]. - For the Shenzhen 500 ETF option, the trading volume was 369,500 contracts, an increase of 120,500 contracts; the open interest was 447,800 contracts, an increase of 400 contracts; the volume PCR was 1.78, an increase of 0.20; the position PCR was 0.70, a decrease of 0.03 [5]. - For the Shenzhen 100 ETF option, the trading volume was 128,900 contracts, an increase of 52,800 contracts; the open interest was 155,500 contracts, a decrease of 2,600 contracts; the volume PCR was 1.81, a decrease of 0.08; the position PCR was 1.29, a decrease of 0.12 [5]. - For the ChiNext ETF option, the trading volume was 2,098,800 contracts, an increase of 208,600 contracts; the open interest was 2,080,200 contracts, an increase of 19,300 contracts; the volume PCR was 0.90, a decrease of 0.06; the position PCR was 0.97, a decrease of 0.05 [5]. - For the Shanghai 50 index option, the trading volume was 54,100 contracts, an increase of 5,700 contracts; the open interest was 78,200 contracts, an increase of 1,600 contracts; the volume PCR was 0.59, a decrease of 0.08; the position PCR was 0.74, an increase of 0.01 [5]. - For the SSE 300 index option, the trading volume was 170,200 contracts, an increase of 4,100 contracts; the open interest was 236,000 contracts, an increase of 1,100 contracts; the volume PCR was 0.60, a decrease of 0.11; the position PCR was 0.78, a decrease of 0.01 [5]. - For the CSI 1000 index option, the trading volume was 336,200 contracts, a decrease of 25,500 contracts; the open interest was 347,200 contracts, an increase of 3,900 contracts; the volume PCR was 0.77, a decrease of 0.05; the position PCR was 0.89, a decrease of 0.02 [5]. 3.4 Option Factors - Pressure and Support Points - For the Shanghai 50 ETF, the underlying closing price was 3.156, the at - the - money strike price was 3.20, the pressure point was 3.20 with an offset of 0.00, the support point was 3.10 with an offset of 0.00, the maximum call open interest was 151,449 contracts, and the maximum put open interest was 99,449 contracts [7]. - For the Shanghai 300 ETF, the underlying closing price was 4.676, the at - the - money strike price was 4.70, the pressure point was 4.80 with an offset of 0.00, the support point was 4.60 with an offset of 0.00, the maximum call open interest was 107,595 contracts, and the maximum put open interest was 77,161 contracts [7]. - For the Shanghai 500 ETF, the underlying closing price was 7.170, the at - the - money strike price was 7.25, the pressure point was 7.50 with an offset of 0.00, the support point was 7.00 with an offset of 0.00, the maximum call open interest was 130,547 contracts, and the maximum put open interest was 87,079 contracts [7]. - For the Huaxia Science and Technology Innovation 50 ETF, the underlying closing price was 1.396, the at - the - money strike price was 1.40, the pressure point was 1.50 with an offset of 0.00, the support point was 1.35 with an offset of 0.00, the maximum call open interest was 139,380 contracts, and the maximum put open interest was 88,753 contracts [7]. - For the E Fund Science and Technology Innovation 50 ETF, the underlying closing price was 1.352, the at - the - money strike price was 1.35, the pressure point was 1.40 with an offset of - 0.10, the support point was 1.30 with an offset of 0.00, the maximum call open interest was 24,023 contracts, and the maximum put open interest was 19,237 contracts [7]. - For the Shenzhen 300 ETF, the underlying closing price was 4.826, the at - the - money strike price was 4.80, the pressure point was 4.90 with an offset of - 0.10, the support point was 4.70 with an offset of 0.00, the maximum call open interest was 19,268 contracts, and the maximum put open interest was 18,301 contracts [7]. - For the Shenzhen 500 ETF, the underlying closing price was 2.865, the at - the - money strike price was 2.85, the pressure point was 2.90 with an offset of - 0.20, the support point was 2.85 with an offset of 0.10, the maximum call open interest was 20,946 contracts, and the maximum put open interest was 14,193 contracts [7]. - For the Shenzhen 100 ETF, the underlying closing price was 3.363, the at - the - money strike price was 3.40, the pressure point was 3.61 with an offset of 0.00, the support point was 3.32 with an offset of 0.00, the maximum call open interest was 6,053 contracts, and the maximum put open interest was 7,559 contracts [7]. - For the ChiNext ETF, the underlying closing price was 3.026, the at - the - money strike price was 3.00, the pressure point was 3.10 with an offset of - 0.10, the support point was 3.00 with an offset of 0.00, the maximum call open interest was 144,175 contracts, and the maximum put open interest was 85,630 contracts [7]. - For the Shanghai 50 index option, the underlying closing price was 3,008.29, the at - the - money strike price was 3,000, the pressure point was 3,100 with an offset of 50, the support point was 2,900 with an offset of - 100, the maximum call open interest was 3,441 contracts, and the maximum put open interest was 2,106 contracts [7]. - For the SSE 300 index option, the underlying closing price was 4,564.95, the at - the - money strike price was 4,550, the pressure point was 4,700 with an offset of 0, the support point was 4,500 with an offset of - 100, the maximum call open interest was 6,788 contracts, and the maximum put open interest was 3,673 contracts [7]. - For the CSI 1000 index option, the underlying closing price was 7,340.41, the at - the - money strike price was 7,300, the pressure point was 7,400 with an offset of - 100, the support point was 7,000 with an offset of - 200, the maximum call open interest was 9,706 contracts, and the maximum put open interest was 6,047 contracts [7]. 3.5 Option Factors - Implied Volatility - For the Shanghai 50 ETF option, the at - the - money implied volatility was 14.09%, the weighted implied volatility was 14.88%, a decrease of 0.36%, the annual average was 16

1. Report Industry Investment Rating - Not provided in the given content 2. Core Viewpoints of the Report - The energy - chemical sector is divided into energy, alcohols, polyolefins, rubber, polyesters, alkalis, and others [9]. - Strategies mainly involve constructing option portfolio strategies dominated by sellers and spot hedging or covered strategies to enhance returns [3]. - Each option variety's strategy report is compiled based on the analysis of the underlying market, option factor research, and option strategy suggestions [9]. 3. Summary by Related Catalogs 3.1 Overview of Underlying Futures Markets - The report presents the latest prices, price changes, price change rates, trading volumes, volume changes, open interests, and open interest changes of various energy - chemical option underlying contracts, including crude oil, liquefied petroleum gas (LPG), methanol, etc. [4]. 3.2 Option Factors - Volume and Open Interest PCR - The volume PCR and open interest PCR of various energy - chemical options are provided. These indicators are used to describe the strength of the option underlying market and the turning point of the underlying market [5]. 3.3 Option Factors - Pressure and Support Levels - The pressure points, support points, and their offsets, as well as the maximum call and put open interests of various energy - chemical options, are presented, which help to analyze the pressure and support levels of the underlying assets [6]. 3.4 Option Factors - Implied Volatility - The report shows the at - the - money implied volatility, weighted implied volatility, its change, annual average, call and put implied volatilities, historical 20 - day volatility, and the difference between implied and historical volatilities of various energy - chemical options [7]. 3.5 Strategy and Suggestions for Each Option Variety 3.5.1 Energy - related Options: Crude Oil - **Underlying Market Analysis**: US crude oil inventories have different changes. The crude oil market has shown a complex price trend from August to November [8]. - **Option Factor Research**: The implied volatility of crude oil options fluctuates above the average. The open interest PCR is below 0.8, indicating a weak market. The pressure level is 540 and the support level is 460 [8]. - **Option Strategy Suggestions**: Build a short - biased call + put option combination strategy for volatility. For spot hedging, construct a long collar strategy [8]. 3.5.2 Energy - related Options: LPG - **Underlying Market Analysis**: The LPG market is relatively strong, with a rebound in the external market. The domestic fundamentals are tightening marginally. The market has shown a complex price trend since August [10]. - **Option Factor Research**: The implied volatility of LPG options has dropped significantly to near the lower - than - average level. The open interest PCR is around 0.8, indicating a weak market. The pressure level is 4500 and the support level is 4250 [10]. - **Option Strategy Suggestions**: Build a neutral - biased call + put option combination strategy for volatility. For spot hedging, construct a long collar strategy [10]. 3.5.3 Alcohol - related Options: Methanol - **Underlying Market Analysis**: The supply may increase, and the inventory is expected to rise slightly. The market has shown a weak - biased trend since August [10]. - **Option Factor Research**: The implied volatility of methanol options fluctuates around the historical average. The open interest PCR is below 0.8, indicating a weak - oscillating market. The pressure level is 2500 and the support level is 2000 [10]. - **Option Strategy Suggestions**: Build a bear spread strategy for direction. Build a short - biased call + put option combination strategy for volatility. For spot hedging, construct a long collar strategy [10]. 3.5.4 Alcohol - related Options: Ethylene Glycol - **Underlying Market Analysis**: The weekly production has a slight increase, and the port inventory has increased significantly. The market has shown a weak - biased trend since August [11]. - **Option Factor Research**: The implied volatility of ethylene glycol options fluctuates near the lower - than - average level. The open interest PCR is around 0.7, indicating strong short - side power. The pressure level is 4500 and the support level is 4000 [11]. - **Option Strategy Suggestions**: Build a bear spread strategy for direction. Build a short - volatility strategy for volatility. For spot hedging, hold a long position + buy a put option + sell an out - of - the - money call option [11]. 3.5.5 Polyolefin - related Options: Polypropylene - **Underlying Market Analysis**: The production has increased, and the capacity utilization rate has risen. The market has shown a weak - biased trend since August [11]. - **Option Factor Research**: The implied volatility of polypropylene options has dropped to near the average level. The open interest PCR is around 0.7, indicating a weak market. The pressure level is 7000 and the support level is 6300 [11]. - **Option Strategy Suggestions**: Build a bear spread strategy for direction. For spot hedging, hold a long position + buy an at - the - money put option + sell an out - of - the - money call option [11]. 3.5.6 Rubber - related Options: Rubber - **Underlying Market Analysis**: The tire production capacity utilization rate and inventory turnover days have different changes. The market has shown a weak - oscillating trend since August [12]. - **Option Factor Research**: The implied volatility of rubber options has dropped to near the lower - than - average level after a rapid increase. The open interest PCR is below 0.6. The pressure level is 16000 and the support level is 15000 [12]. - **Option Strategy Suggestions**: Build a short - biased call + put option combination strategy for volatility [12]. 3.5.7 Polyester - related Options: PTA - **Underlying Market Analysis**: The PTA load has been adjusted, and the market has shown a rebound - with - pressure trend since August [12]. - **Option Factor Research**: The implied volatility of PTA options fluctuates at a higher - than - average level. The open interest PCR is around 0.7, indicating an oscillating market. The pressure level is 4700 and the support level is 4300 [12]. - **Option Strategy Suggestions**: Build a neutral - biased call + put option combination strategy for volatility [12]. 3.5.8 Alkali - related Options: Caustic Soda - **Underlying Market Analysis**: The capacity utilization rate has decreased slightly, and the market has shown a weak - short - side trend since August [13]. - **Option Factor Research**: The implied volatility of caustic soda options fluctuates at a relatively high level. The open interest PCR is below 0.8, indicating a weak - oscillating market. The pressure level is 3000 and the support level is 2200 [13]. - **Option Strategy Suggestions**: Build a bear spread strategy for direction. For spot hedging, hold a long position + buy a put option + sell an out - of - the - money call option [13]. 3.5.9 Alkali - related Options: Soda Ash - **Underlying Market Analysis**: The inventory has increased year - on - year, and the market has shown a low - level weak - oscillating trend since August [13]. - **Option Factor Research**: The implied volatility of soda ash options fluctuates at a relatively high historical level. The open interest PCR is below 0.6, indicating strong short - side pressure. The pressure level is 1860 and the support level is 1100 [13]. - **Option Strategy Suggestions**: Build a bear spread strategy for direction. Build a short - volatility combination strategy for volatility. For spot hedging, construct a long collar strategy [13]. 3.5.10 Other Options: Urea - **Underlying Market Analysis**: The enterprise inventory has decreased, and the port inventory has increased. The market has shown a low - level oscillating and gradually rebounding trend since August [14]. - **Option Factor Research**: The implied volatility of urea options fluctuates slightly around the historical average. The open interest PCR is below 0.6, indicating strong short - side pressure. The pressure level is 1800 and the support level is 1600 [14]. - **Option Strategy Suggestions**: Build a neutral - biased call + put option combination strategy for volatility. For spot hedging, hold a long position + buy an at - the - money put option + sell an out - of - the - money call option [14].

金属期权 2025-11-20 金属期权策略早报 | 卢品先 | 投研经理 | 从业资格号：F3047321 | 交易咨询号：Z0015541 | 邮箱：lupx@wkqh.cn | | --- | --- | --- | --- | --- | | 黄柯涵 | 期权研究员 | 从业资格号：F03138607 | 电话：0755-23375252 | 邮箱：huangkh@wkqh.cn | | 李仁君 | 产业服务 | 从业资格号：F03090207 | 交易咨询号：Z0016947 | 邮箱：lirj@wkqh.cn | 金属期权策略早报概要：（1）有色金属偏多上行，构建卖方中性波动率策略策略；（2）黑色系维持大幅度波动的 行情走势，适合构建做空波动率组合策略；（3）贵金属反弹回暖上升，构建牛市价差组合策略。 | 表1：标的期货市场概况 | | --- | | 期权品种 | 标的合约 | 最新价 | 涨跌 | 涨跌幅 | 成交量 | 量变化 | 持仓量 | 仓变化 | | --- | --- | --- | --- | --- | --- | --- | --- | --- | | | | | | （%） ...

波动率在期权交易中的特性 J 免责声明 本信息不拘成任何投资建议,投资者不应 以该等信息取代其独立判断或仅根据该等 信息做出决策。本信息根据当前法律法规 规则的相关规定形成解答,方便市场主体 参考使用。法律法规规则如有变化,以最 新规定的要求为准。我们力求本材料信息 准确可靠,但对这些信息的准确性或完整 性不作保证,亦不对因使用该等信息而引 发的损失承担任何责任。更多投资知识, 投资者关注"上交所ETF之家"及"上交 所期权之家"微信公众号。 上交所期权之家 上交所ETF之家 公众号 公众号 免责声明 以提前知道其发生的时间窗口,但是其结果 往往存在重大不确定性。对此,可以在期权 市场通过提前买入跨式策略,来做多波动 部 三是隐含波动率相比实际波动率存在一 定的高估。研究表明,在期权市场,隐含波 动率往往高于实际波动率，这可能是因为投 资者为降低不确定性所支付的风险溢价 。 所以通常而言,只要市场不发生黑天鹅事 件,卖出期权的投资者往往可以获得较为稳 定的收益。 四是无套利性。在期权市场上存在众多 合约,合约之间的隐含波动率往往存在某种 关联,比如说某个执行价的合约隐含波动率 偏高,而其上下一档合约的波动率都 ...

能源化工期权 2025-11-19 能源化工期权策略早报 | 卢品先 | 投研经理 | 从业资格号：F3047321 | 交易咨询号：Z0015541 | 邮箱：lupx@wkqh.cn | | --- | --- | --- | --- | --- | | 黄柯涵 | 期权研究员 | 从业资格号：F03138607 | 电话：0755-23375252 | 邮箱：huangkh@wkqh.cn | | 李仁君 | 产业服务 | 从业资格号：F03090207 | 交易咨询号：Z0016947 | 邮箱：lirj@wkqh.cn | 能源化工期权策略早报概要：能源类：原油、LPG；聚烯烃类期权：聚丙烯、聚氯乙烯、塑料、苯乙烯；聚酯类期 权：对二甲苯、PTA、短纤、瓶片；碱化工类：烧碱、纯碱；其他能源化工类：橡胶等。 策略上：构建卖方为主的期权组合策略以及现货套保或备兑策略增强收益。 表1：标的期货市场概况 | 期权品种 | 标的合约 | 最新价 | 涨跌 | 涨跌幅 | 成交量 | 量变化 | 持仓量 | 仓变化 | | --- | --- | --- | --- | --- | --- | --- | -- ...

1. Report Industry Investment Rating - Not provided in the given content 2. Core Viewpoints of the Report - The agricultural product options market shows different trends. Oilseed and oil - related agricultural products are in a weak and volatile state, while fats, agricultural by - products maintain a volatile market. Soft commodities like sugar have a slight fluctuation, cotton is in a weak consolidation, and grains such as corn and starch are in a weak and narrow - range consolidation. 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 Related Catalogs 3.1 Futures Market Overview - Various agricultural product futures have different price movements. For example, the latest price of soybean No.1 (A2601) is 4,148, down 29 (- 0.69%); palm oil (P2601) is 8,846, up 158 (1.82%). There are also differences in trading volume and open interest changes among different varieties [3] 3.2 Option Factor - Quantity and Position PCR - The PCR indicators of different agricultural product options vary. For instance, the trading volume PCR of soybean No.1 is 0.33 (down 0.08), and the open interest PCR is 1.08 (unchanged). These indicators are used to describe the strength of the option underlying market and the turning point of the underlying market [4] 3.3 Option Factor - Pressure and Support Levels - From the perspective of the maximum open interest of call and put options, the pressure and support levels of different agricultural product options are determined. For example, the pressure level of soybean No.1 is 4200 and the support level is 4050 [5] 3.4 Option Factor - Implied Volatility - The implied volatility of different agricultural product options shows different characteristics. For example, the at - the - money implied volatility of soybean No.1 is 11.745, and the weighted implied volatility is 13.39 (up 0.31). The implied - historical volatility difference is - 0.39 [6] 3.5 Strategies and Recommendations for Different Options 3.5.1 Oilseed and Oil Options - **Soybean No.1**: Fundamentally, the CNF premium of Brazilian soybeans in February 2026 has a slight weekly decline, and the planting progress is slow. The option implied volatility is below the historical average, and the open interest PCR is below 0.70. It is recommended to construct a neutral short - call + short - put option combination strategy and a long - collar strategy for spot hedging [7] - **Soybean Meal**: The daily average trading volume and delivery volume of soybean meal in mainstream oil mills have changed. The option implied volatility is below the historical average, and the open interest PCR is below 0.60. It is recommended to construct a neutral short - call + short - put option combination strategy and a long - collar strategy for spot hedging [9] - **Palm Oil**: The spot basis of oils has a slight increase, and the total inventory is decreasing. The option implied volatility is below the historical average, and the open interest PCR is above 1.00. It is recommended to construct a short - biased short - call + short - put option combination strategy and a long - collar strategy for spot hedging [9] - **Peanut**: The price of peanut oil is stable. The option implied volatility is at a relatively high historical level, and the open interest PCR is below 0.60. It is recommended to use a long - collar strategy for spot hedging [10] 3.5.2 Agricultural By - product Options - **Pig**: The spot price of pigs has decreased. The option implied volatility is above the historical average, and the open interest PCR is below 0.50. It is recommended to construct a short - biased short - call + short - put option combination strategy and a covered call strategy for spot [10] - **Egg**: The inventory of laying hens has changed. The option implied volatility is at a relatively high level, and the open interest PCR is below 0.60. It is recommended to construct a neutral short - call + short - put option combination strategy [11] - **Apple**: The apple storage is less than the same period in previous years. The option implied volatility is above the historical average, and the open interest PCR is above 0.90. It is recommended to construct a long - biased short - call + short - put option combination strategy and a long - collar strategy for spot hedging [11] - **Jujube**: The acquisition price of jujube has changed. The option implied volatility has rapidly risen above the historical average, and the open interest PCR is below 0.50. It is recommended to construct a short - biased short - strangle option combination strategy and a covered call strategy for spot hedging [12] 3.5.3 Soft Commodity Options - **Sugar**: The sugar production in the central - southern region of Brazil has increased, and India has allowed sugar exports. The option implied volatility is at a relatively low historical level, and the open interest PCR is around 0.60. It is recommended to construct a short - biased short - call + short - put option combination strategy and a long - collar strategy for spot hedging [12] - **Cotton**: The progress of cotton picking, delivery, and processing has changed. The option implied volatility is at a relatively low level, and the open interest PCR is below 1.00. It is recommended to construct a short - biased short - call + short - put option combination strategy and a covered call strategy for spot [13] 3.5.4 Grain Options - **Corn**: The average price of corn has increased. The option implied volatility is at a relatively low historical level, and the open interest PCR is below 0.60. It is recommended to construct a neutral short - call + short - put option combination strategy [13]

1. Report Industry Investment Rating - Not provided in the given content 2. Core Viewpoints of the Report - For non - ferrous metals, a seller neutral volatility strategy can be constructed as they are trending upwards; for black metals, a short - volatility portfolio strategy is suitable due to their large - amplitude fluctuations; for precious metals, a bull spread portfolio strategy can be built as they are rebounding [2] 3. Summary by Relevant Catalogs 3.1 Futures Market Overview - The latest prices, price changes, trading volumes, and open interest of various metal futures contracts are presented, including copper, aluminum, zinc, etc. For example, the latest price of copper (CU2601) is 85,930, with a price increase of 10 and a trading volume of 7.33 million lots [3] 3.2 Option Factors - Volume and Open Interest PCR - The volume PCR and open interest PCR of different metal 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 copper options is 0.90, with a change of - 0.06 [4] 3.3 Option Factors - Pressure and Support Levels - The pressure points, support points, and the maximum open interest of call and put options for each metal option are given. For example, the pressure point of copper options is 90,000, and the support point is 84,000 [5] 3.4 Option Factors - Implied Volatility - The at - the - money implied volatility, weighted implied volatility, and other implied volatility indicators of each metal option are presented, along with their changes and the differences between implied and historical volatilities. For example, the at - the - money implied volatility of copper options is 13.36% [6] 3.5 Strategy and Recommendations Non - ferrous Metals - Copper: Build a short - volatility seller option portfolio strategy and a spot long - hedging strategy, and the underlying shows a high - level consolidation and rebound trend [7] - Aluminum: Construct a bull spread portfolio strategy, a sell - biased long call + put option combination strategy, and a spot collar strategy, and the underlying shows a bullish high - level consolidation trend [9] - Zinc: Build a sell - neutral call + put option combination strategy and a spot collar strategy, and the underlying shows a warming - up trend with resistance [9] - Nickel: Construct a sell - bearish call + put option combination strategy and a spot covered strategy, and the underlying shows a bearish consolidation trend [10] - Tin: Build a short - volatility strategy and a spot collar strategy, and the underlying shows a short - term high - level consolidation trend [10] - Lithium Carbonate: Construct a bull spread portfolio strategy, a sell - bullish call + put option combination strategy, and a spot long - hedging strategy, and the underlying shows a recent bullish trend [11] Precious Metals - Gold: Build a neutral short - volatility option seller portfolio strategy and a spot hedging strategy, and the underlying shows a bullish trend with high - level consolidation [12] Black Metals - Rebar: Build a sell - bearish call + put option combination strategy and a spot covered strategy, and the underlying shows a bearish trend with resistance [13] - Iron Ore: Build a sell - bearish call + put option combination strategy and a spot long - collar strategy, and the underlying shows a bearish consolidation trend [13] - Ferroalloys (Manganese Silicon and Industrial Silicon): Build short - volatility strategies and corresponding spot hedging strategies, and the underlying shows a bearish trend with resistance [14] - Glass: Build a bear spread portfolio strategy, a short - volatility sell call + put option combination strategy, and a spot long - collar strategy, and the underlying shows a bearish trend with resistance [15]

Group 1: Report Overview - Report date: November 18, 2025 [1] - Report type: Metal options strategy morning report - Research team members: Lu Pinxian, Huang Kehan, Li Renjun [2] Group 2: Investment Ratings - No investment ratings are provided in the report Group 3: Core Views - Construct a seller neutral volatility strategy for non - ferrous metals as they tend to move upwards [2] - Build a short - volatility portfolio strategy for the black series due to their large - amplitude fluctuations [2] - Create a bull spread portfolio strategy for precious metals as they rebound and rise [2] Group 4: Futures Market Overview - The latest prices, price changes, trading volumes, and open interest of various metal futures contracts are presented, such as copper (CU2512), aluminum (AL2512), etc. [3] Group 5: Option Factor - Volume and Open Interest PCR - The volume and open interest PCR of different metal options are analyzed, which are used to describe the strength of the option underlying market and the turning point of the underlying market [4] Group 6: Option Factor - Pressure and Support Levels - The pressure and support levels of different metal options are determined from the strike prices of the maximum open interest of call and put options [5] Group 7: Option Factor - Implied Volatility - The implied volatility data of different metal options, including at - the - money implied volatility, weighted implied volatility, etc., are provided [6] Group 8: Option Strategies and Recommendations Non - Ferrous Metals - **Copper**: Build a short - volatility seller option portfolio strategy and a spot long - hedging strategy [7] - **Aluminum**: Construct a call option bull spread strategy, a short - volatility option combination strategy, and a spot collar strategy [9] - **Zinc**: Build a short - volatility option combination strategy and a spot collar strategy [9] - **Nickel**: Construct a short - volatility option combination strategy with a short position and a spot covered - call strategy [10] - **Tin**: Build a short - volatility strategy and a spot collar strategy [10] - **Lithium carbonate**: Construct a call option bull spread strategy, a short - volatility option combination strategy with a long position, and a spot long - hedging strategy [11] Precious Metals - **Gold**: Build a short - volatility option seller combination strategy and a spot hedging strategy [12] Black Series - **Rebar**: Build a short - volatility option combination strategy with a short position and a spot long - covered - call strategy [13] - **Iron ore**: Build a short - volatility option combination strategy with a short position and a spot long - collar strategy [13] - **Ferroalloys**: Build a short - volatility strategy for manganese silicon [14] - **Industrial silicon**: Build a short - volatility option combination strategy and a spot hedging strategy [14] - **Glass**: Build a short - volatility option combination strategy and a spot long - collar strategy [15] Group 9: Option Charts - Option charts of various metals, including price trends, volume and open interest distributions, PCR trends, implied volatility trends, historical volatility cones, etc., are presented [16][38][56]