单品种看，昨日资金主要流入的商品期货（主连合约）品种有生猪、碳酸锂、沥青、豆粕和黄金，分别流入9.72 亿元、3.82 亿元、3.41 亿元、1.66 亿元和 1.35 亿元；主要流出的品种有多晶硅、铁矿石、白银、铜和氧化铝，分别流出4.77 亿元、2.79 亿元、2.50 亿元、1.94 亿元和1.80 亿元。从主力合约看，农产 品板块呈流入状态，黑色、化工、有色金属和金融板块呈流出状态。 整体看，昨日商品期货（主连合约）资金呈中幅流出状态。黑色、化工和有色金属板块呈流出状态，重点关注流出较多的多晶硅、铁矿石、白银、铜和纯 碱，同时关注逆势流入的碳酸锂、沥青和黄金。农产品板块呈流入状态，重点关注流入较多的生猪、豆粕和菜粕，同时关注逆势流出的棕榈油和白糖。金融 板块重点关注中证1000股指期货和10年期国债期货。（徽商期货 方正） 图为商品期货资金流入前十名（亿元） 图为商品期货资金流出前十名（亿元） 图为板块资金流入额（亿元） 图为金融期货主连合约资金流向（亿元） 图为商品期货主连合约资金流向（亿元） ...

Core Insights - The participant known as "Alchemist" achieved consistent profits through a self-developed trend-following trading system during the third "Futures Star" competition [1] - The trading career of "Alchemist" began in 2006, transitioning from stocks to futures in 2008, and has since focused on various markets, ultimately refining a mature trading system in futures [1] Trading System - "Alchemist" utilizes a proprietary trading system on the Wenhua Financial platform, monitoring on a 5-minute basis and generating buy/sell signals through programmed logic [2] - The system operates under strict rules, with trade durations ranging from intraday to several weeks or even a month, driven by system signals [2] - The current portfolio includes volatile and low-correlation assets such as lithium carbonate, shipping indices (European line), and polysilicon, with hedging through SSE 50 options [2] Risk Management - "Alchemist" maintains a maximum drawdown of around 10%, significantly lower than the initial threshold of 20%-25% [2] - Manual intervention occurs during extreme market conditions, allowing for profit locking and system validation [2] - The profit-to-drawdown ratio remains stable between 6:1 and 7:1, showcasing effective risk management strategies [2] Position Selection Logic - The selection logic for current holdings emphasizes objective testing supplemented by subjective preferences, narrowing down from over ten assets to three core ones based on statistical characteristics and personal lifestyle [3] - The ideal operational scale for the current strategy is between 20 million to 50 million, with a preference for a comfortable range of 10 million to 20 million [3] - "Alchemist" has opted out of testing certain high-margin contracts due to their high margin requirements, focusing instead on assets without night trading [3] Trading Philosophy - "Alchemist" attributes success to two main factors: adherence to a validated system and strict risk control discipline [4] - The trading philosophy simplifies complex markets into replicable rules, continuously optimizing strategies to maintain their effectiveness [4] - The motto "cut losses short, let profits run" encapsulates the approach to trading in the futures market [4]

未来，泛糖科技将持续强化平台技术迭代与生态扩容，以更深厚的场景挖掘、更坚实的数据支撑、更高 效的协同机制，链接更多优质金融资源，为产业链上下游企业提供更便捷、高效、普惠的数字产融服 务，为食糖产业链降本增效、高质量发展注入持久动力。 泛糖科技构建的数字产融模式，以"产业场景+数据底座+生态协同"为核心竞争力：一方面深度锚定食 糖产业链采购、仓储、物流、销售等全业务场景的实际需求，另一方面整合泛糖系平台沉淀的真实业务 数据，在客户授权前提下，通过"系统直连破除信息壁垒、数据互信筑牢合作根基、风控模型共建防控 风险"的创新合作机制，搭建起产业端与金融端的高效对接桥梁，让金融服务精准触达产业链各环节。 截至目前，产融服务平台累计服务食糖产业链客户超300户，助力客户获得银行授信超15亿元，实际放 款金额累计超10亿元。同时，泛糖科技联合上述国有大行共同推出的"蔗糖贷""糖蜜贷""蔗农贷""种苗 贷"4款普惠产品，以"无抵押、线上办、审批快、额度足"的特点，获得客户高度肯定与广泛支持。平台 的核心优势已转化为实实在在的服务成果，并有效缓解了产业链资金周转难题。 广西泛糖科技有限公司（以下简称"泛糖科技"）自主研发的产 ...

Group 1 - The main inflows in commodity futures on December 7 were in coking coal, rapeseed meal, copper, rebar, and soybean meal, with inflows of 1.223 billion, 334 million, 178 million, 142 million, and 103 million respectively [1] - The main outflows were in polysilicon, iron ore, silver, palm oil, and PTA, with outflows of 461 million, 382 million, 217 million, 183 million, and 129 million respectively [1] - Overall, commodity futures showed a slight outflow, particularly in agricultural products, chemicals, and non-ferrous metals, while black and financial sectors experienced inflows [1] Group 2 - The black sector saw significant inflows, particularly in coking coal, rebar, and hot-rolled coils, while iron ore experienced outflows [1] - The financial sector focused on the CSI 1000 stock index futures and 30-year treasury futures [1] - Attention is drawn to the significant outflows in polysilicon, silver, palm oil, PTA, and gold, alongside the counter-trend inflows in copper, soybean meal, bottle flakes, and zinc [1]

本报讯 为深入贯彻落实乡村振兴战略，深化金融服务实体经济能力，近期，在大商所的大力支持下， 中信建投期货联合中国人保财险烟台市分公司，在山东省烟台市牟平区相继落地两批次大商所"农保计 划"生猪饲料养殖专项"保险+期货"项目。 项目旨在发挥期货工具优势，为烟台市牟平区养殖户化解在栏生猪包括价格下跌在内的综合养殖风险， 保障养殖收益。两批次项目总金额为2736.02万元，为当地养殖户在养的20046头生猪提供风险保障。 近年来，"保险+期货"业务模式更加丰富，越来越多的农户从这一创新金融服务中受益。中信建投期货 将始终牢记初心，践行企业社会责任，利用期货工具更好服务我国广大农村地区经济发展。（鲍仁） ...

在我国期权市场蓬勃发展的浪潮中，中信建投期货凭借卓越的专业实力与创新服务模式，斩获今年全国 期货（期权）实盘交易大赛"郑商所期权专项奖"组织奖第一名。这一荣誉不仅是对中信建投期货在期权 领域工作的认可，更是对该公司推动金融工具服务实体经济、助力产业升级实践的高度肯定。日前，期 货日报记者专访中信建投期货副总经理卢友中，解读中信建投期货在期权赛道上的领跑"密码"。 为打通知识传播的"最后一公里"，公司打造了立体化投教矩阵。"期权每月谈"系列视频以情景剧形式拆 解晦涩概念，"白话期权""含权贸易"等图文教程在公司微信公众号、视频号平台收获超十万点击量。今 年公司开展线上和线下培育活动合计超百场，覆盖超万人次，形成"理论授课+模拟演练+实战指导"的 全链条服务体系。公司在广州、江苏等地举办"稳企安农 护航实体"主题活动，吸引近300家产业企业深 度参与，搭建起期现融合的交流平台。 精耕细作：锻造产业服务"真功夫" 在方顿物产（重庆）有限公司的操作室里，工作人员正紧密跟踪某聚酯企业的套保组合。这个由中信建 投期货全资子公司打造的典型案例，生动诠释了期权工具如何赋能实体经营。面对国际油价剧烈波动带 来的采购成本压力，该 ...

本次活动征集的作品是"保险+期货"模式十年深耕的生动缩影，字里行间彰显着服务实体的初心、记录 着金融助农的足迹、传递着金融为民的温度。当顶层设计与实践探索有机结合，当"高大上"的金融专业 术语被译成"接地气"的家常话，当农户紧蹙的眉头终于舒展，"保险+期货"模式便拥有了持久生命力。 十年间，从东北平原到云贵高原，从东南沿海到西北内陆，"保险+期货"模式在广袤的乡村大地上生根 发芽、蓬勃发展，结出累累硕果，惠及万千农户。 南华期货董事总经理唐启军向记者表示，本次征文活动组织有序，充分激发了行业内分享交流的热情， 让"保险+期货"工作者回想起过往的工作经历和难忘的瞬间，以此为契机梳理自身从业心得，深化对业 务价值的认知，同时有机会学习同行的实践经验与独到见解。活动为从业者、研究者搭建了优质交流平 台，既展现了"保险+期货"在服务实体经济、保障农户收益等方面的实效，也汇聚了各方对行业发展的 思考与感悟，兼具专业性与感染力，内容"接地气"、有深度。"保险+期货"各环节主体均参与其中，不 仅提升了各方对"保险+期货"模式的认知，更凝聚了发展共识，为后续业务创新与推广注入动力。期待 未来能有更多此类优质活动，助力行业高质 ...

Group 1 - The core idea of the news is that finding a suitable trading rhythm in the derivatives market is more important than frequent trading, as demonstrated by the success of a participant, Kan Fulong, in a simulated trading competition [1] - Kan Fulong achieved second place in the options category by employing a "low-frequency heavy position" trading strategy, which emphasizes patience and timing [1] - His trading philosophy was exemplified through two key operations: a successful short-term trade in crude oil options and a mid-term hold in palm oil options, both of which contributed significantly to his profits [1] Group 2 - Kan Fulong also traded other commodities such as rapeseed oil, soybean oil, and rubber, selecting them based on the presence of clear opportunities [2] - He noted that the main difference between simulated and real trading is the psychological state, with real trading introducing emotional fluctuations due to financial pressure [2] - His trading habits include avoiding frequent trades to prevent judgment errors, focusing instead on seizing opportunities with heavy positions when certainty is high [2] Group 3 - Looking ahead, Kan Fulong expressed that his choice of this industry stems from passion rather than the desire for quick wealth, emphasizing the importance of experience-based judgment [3] - He believes that every trade should be based on careful analysis, with the market serving as the ultimate test of his strategies [3] - His success illustrates the principle of "less is more," advocating for patience, in-depth research, and risk management when opportunities arise [3]

Core Viewpoint - The article emphasizes the systemic mismatch between the goals, incentives, and processes within companies, particularly regarding the disconnection between spot and futures departments, which leads to ineffective hedging and increased risks [2][3][4]. Group A: Issues in Current Practices - Companies face increased macroeconomic volatility and geopolitical conflicts, leading to uncertainty in commodity prices, which has become a core variable for business operations [2]. - There is a frequent occurrence of hedging failures due to a lack of collaboration between the spot and futures departments, often resulting in speculative behavior rather than effective risk management [2][3]. - The traditional governance logic prioritizes cost control and supply chain stability for spot departments, while futures teams focus on independent profit and loss, creating conflicting decision-making processes [3][4]. Group B: Importance of Organizational Structure - The lack of a unified risk and return assessment framework leads to departments acting based on isolated information and goals, resulting in a "local optimum, overall suboptimal" dilemma [3]. - The design of performance evaluation systems significantly influences decision-making preferences, with futures teams often incentivized to pursue short-term trading profits rather than long-term risk hedging [4][10]. Group C: Need for Systemic Reforms - To resolve structural conflicts between spot and futures teams, it is essential to return to the theoretical foundation of hedging, which focuses on mitigating cash flow volatility rather than generating profits [6]. - Establishing a "combined accounting framework" for spot and futures operations is crucial, where procurement costs and sales profits consider the comprehensive impact of futures trading [6]. Group D: Pathways for Integration - Achieving deep integration between spot and futures operations requires a reorganization of capabilities across three dimensions: organization, processes, and performance evaluation [8][9]. - A "Commodity Risk Management Committee" led by senior management should be established to unify risk preferences and ensure alignment between futures operations and core business decisions [8]. - Institutionalizing collaborative processes is vital, such as integrating futures decision-making into key operational stages like procurement and sales pricing [9]. Group E: Role of Professional Service Institutions - Professional service institutions, such as futures companies, should evolve from traditional intermediary roles to strategic enablers, focusing on enhancing clients' hedging effectiveness and operational stability [12]. - The shift from a product-oriented to a solution-oriented approach in service delivery is essential for improving clients' risk management capabilities [12]. Group F: Performance Evaluation Metrics - Key performance indicators should reflect the contributions of risk management, focusing on overall profit predictability rather than isolated profit and loss from futures trading [10][13]. - Metrics such as virtual settlement prices, adjusted gross profit margins, and basis coverage rates are critical for assessing the effectiveness of hedging strategies [13]. Group G: Conclusion - Companies that break down internal barriers and integrate risk management into their core operations are likely to achieve greater stability and resilience in uncertain market conditions [14].

Core Insights - The article highlights the success of a trader, Han Guo Xi, who won the championship in the options category of a national futures simulation trading competition, attributing his success to a strict risk management system centered around stop-loss strategies [1][2]. Group 1: Trading Philosophy and Strategy - Han Guo Xi emphasizes the importance of setting fixed stop-loss levels that are automatically executed by software, which prevents emotional decision-making during trading [2]. - His trading strategy is notably straightforward, focusing on buying call and put options, which reflects his understanding of the essence of options trading [2][3]. - He believes that macroeconomic factors driving the changes in underlying asset prices are fundamental to decision-making, rather than relying solely on lagging risk metrics like Delta and Gamma [3]. Group 2: Psychological Aspects of Trading - Han Guo Xi identifies the psychological pressure of real trading as a significant difference from simulation trading, which can lead to operational distortions [3]. - He advocates treating simulation trading with the same seriousness as real trading to enhance trading skills and discipline [3]. - His key takeaway from the competition is the importance of mastering probabilities and patterns, refining his trading system, and cultivating confidence, which he considers essential for success in trading [3].