异动分析 期货概念+互联网金融+国企改革 1、公司主要从事商品期货经纪、金融期货经纪、资产管理和期货投资咨询业务，并通过全资子公司永 安资本开展风险管理服务业务。 2、2022年2月16日互动易回复：永安期货聚焦数智变革和金融科技创新，积极推进数智化转型各项工 作：健全永安一账通、系统云上迁移、永安业务中台、数据中心、客户画像、业务管理驾驶舱等智慧化 管理体系，逐步形成一系列成果，助推整体治理；充分运用数字化手段，优化重塑业务流程，建设永安 管家、源点资讯、永安期货APP三大终端。 3、公司属于国有企业。公司的最终控制人为浙江省财政厅。 (免责声明：分析内容来源于互联网，不构成投资建议，请投资者根据不同行情独立判断) 资金分析 今日主力净流入-783.56万，占比0.13%，行业排名13/27，该股当前无连续增减仓现象，主力趋势不明 显；所属行业主力净流入-5.75亿，当前无连续增减仓现象，主力趋势不明显。 来源：新浪证券-红岸工作室 12月23日，永安期货跌1.52%，成交额6127.46万元，换手率0.28%，总市值217.31亿元。 区间今日近3日近5日近10日近20日主力净流入-783.56万-992 ...

来源：新浪证券-红岸工作室 12月15日，永安期货跌1.07%，成交额5614.89万元，换手率0.26%，总市值215.28亿元。 异动分析 (免责声明：分析内容来源于互联网，不构成投资建议，请投资者根据不同行情独立判断) 期货概念+互联网金融+国企改革 资金分析 1、公司主要从事商品期货经纪、金融期货经纪、资产管理和期货投资咨询业务，并通过全资子公司永 安资本开展风险管理服务业务。 2、2022年2月16日互动易回复：永安期货聚焦数智变革和金融科技创新，积极推进数智化转型各项工 作：健全永安一账通、系统云上迁移、永安业务中台、数据中心、客户画像、业务管理驾驶舱等智慧化 管理体系，逐步形成一系列成果，助推整体治理；充分运用数字化手段，优化重塑业务流程，建设永安 管家、源点资讯、永安期货APP三大终端。 3、公司属于国有企业。公司的最终控制人为浙江省财政厅。 永安期货所属申万行业为：非银金融-多元金融-期货。所属概念板块包括：期货概念、中盘、增持回 购、金融科技等。 截至9月30日，永安期货股东户数3.95万，较上期增加6.87%；人均流通股36873股，较上期减少6.43%。 2025年1月-9月，永安期货 ...

来源：新浪证券-红岸工作室 12月8日，永安期货涨4.97%，成交额3.45亿元，换手率1.52%，总市值227.50亿元。 异动分析 期货概念+互联网金融+国企改革 1、公司主要从事商品期货经纪、金融期货经纪、资产管理和期货投资咨询业务，并通过全资子公司永 安资本开展风险管理服务业务。 2、2022年2月16日互动易回复：永安期货聚焦数智变革和金融科技创新，积极推进数智化转型各项工 作：健全永安一账通、系统云上迁移、永安业务中台、数据中心、客户画像、业务管理驾驶舱等智慧化 管理体系，逐步形成一系列成果，助推整体治理；充分运用数字化手段，优化重塑业务流程，建设永安 管家、源点资讯、永安期货APP三大终端。 3、公司属于国有企业。公司的最终控制人为浙江省财政厅。 (免责声明：分析内容来源于互联网，不构成投资建议，请投资者根据不同行情独立判断) 资金分析 今日主力净流入1901.06万，占比0.06%，行业排名4/27，连续2日被主力资金增仓；所属行业主力净流 入-1.04亿，当前无连续增减仓现象，主力趋势不明显。 主力持仓 主力没有控盘，筹码分布非常分散，主力成交额3535.61万，占总成交额的4.21%。 技 ...

Core Viewpoint - The company, Yong'an Futures, is engaged in various financial services including commodity futures brokerage, financial futures brokerage, asset management, and futures investment consulting, with a focus on digital transformation and financial technology innovation [2][7]. Group 1: Company Overview - Yong'an Futures is a state-owned enterprise controlled by the Zhejiang Provincial Finance Department [3]. - The company was established on September 7, 1992, and went public on December 23, 2021 [7]. - As of September 30, 2025, Yong'an Futures reported a net profit of 475 million yuan, representing a year-on-year growth of 13.31% [7]. Group 2: Financial Performance - The company achieved a total revenue of 0.00 yuan for the period from January to September 2025, while its main revenue source, risk management services, accounted for 90.17% of total income [7]. - Yong'an Futures has distributed a total of 1.006 billion yuan in dividends since its A-share listing, with 598 million yuan distributed over the past three years [8]. Group 3: Market Activity - On November 27, Yong'an Futures experienced a decline of 0.35% in stock price, with a trading volume of 45.82 million yuan and a turnover rate of 0.22% [1]. - The stock's average trading cost is 15.28 yuan, and it is currently near a resistance level of 14.36 yuan, indicating potential for upward movement if this level is surpassed [6].

Core Viewpoint - The Chinese futures industry is evolving from traditional derivatives trading to a more diversified and integrated financial services sector due to increasing global political and economic uncertainties and the deepening functions of China's financial markets [2]. Group 1: Industry Development - The futures industry must adhere to two fundamental principles: risk control and compliance, and deep service to the real economy [3]. - The implementation of the Futures and Derivatives Law has elevated the industry's regulatory development, and the upcoming Futures Company Supervision Management Measures are expected to further enhance the industry's risk management framework [3]. - The importance of futures and derivatives as risk management tools has become more pronounced amid recent global commodity price fluctuations [3]. Group 2: Service to Enterprises - For nascent industry enterprises, the focus is on promoting basis trade models to optimize procurement and sales, achieving hedging, profit locking, and production stability [4]. - For growing enterprises, integrating spot and futures markets into production, sales, inventory management, and risk management is essential [4]. - For mature enterprises, providing a comprehensive risk management system, management protocols, talent development mechanisms, and smart operational technologies is crucial [4]. Group 3: Digital Transformation and AI Integration - The application of AI large models in finance is reshaping financial services, with successful implementation relying on the combination of model capabilities, proprietary data, and application scenarios [5]. - The company has initiated digital reforms early, accumulating substantial data assets and establishing a complete data management system to support AI model applications [5]. - The company is developing a comprehensive data-driven operational model, including intelligent risk control projects and customer service enhancements through AI [6].