期市纵览
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“豫”见未来 共期卓越:2026年投资机会与交易智慧全景透视
Qi Huo Ri Bao· 2026-01-11 23:35
1月9日,由期货日报与产业服务联盟联合主办的"2026年期货日报读者嘉年华暨期权精英荣誉盛典"在郑 州隆重举行。来自全国的期货及期权从业者、投资者教育专家、金融机构代表等齐聚一堂,围绕衍生品 市场创新发展、风险管理工具应用实践等议题展开深入交流,共同展望2026年市场新图景。 赋能行业生态:搭建服务实体经济的综合桥梁 作为年度首场行业盛会,本次活动以"'豫'见未来 共期卓越"为核心主题,汇聚行业智慧共探发展新局。 期货日报总经理兼总编辑陈邦华在开幕致辞中,深情回顾了期货日报三十余载的发展历程与时代使命。 陈邦华表示,期货日报的成长是一部与行业共生共荣的奋斗史。"我们的发展离不开产业服务联盟的协 同支持、实盘大赛合作商的全程护航、专家讲师的智慧分享,以及每一位普通交易者的真诚参与。正是 这些力量的汇聚,共同完善了我们的服务生态,也让期货市场服务实体经济、惠及广大投资者的路径愈 发清晰。"陈邦华说。 商品期权:聚焦高波动率品种与结构性行情 永安期货(600927)期权分析师郑捷飞就"2026商品+系列期权投资趋势"发表专题演讲。他认为,新一 年的商品期权投资应重点关注隐含波动率处于高位的品种以及由供需驱动的结构性 ...
期货日报数据产品挂牌登记
Qi Huo Ri Bao Wang· 2025-09-22 00:30
Core Viewpoint - The launch of the "期市纵览" data product by the Futures Daily aims to better release the value of data assets through a standardized database that encompasses 30 years of market fluctuations, policy changes, and industry cycles [1] Group 1: Product Overview - The "期市纵览" data product, also known as the Futures Daily Online Newspaper Retrieval System, has been registered at the Zhengzhou Data Trading Center [1] - The database includes newspaper information from the inaugural issue in 1994 to the present, processed for safety and compliance [1] - It transforms print content into "visualized" digital assets, primarily using SQL structured data for quick retrieval and calculation [1] Group 2: Technical Specifications - The product features a comprehensive subscription and reading logic, utilizing the vue2 universal framework for the front end [1] - The back end is developed in Java, employing the Springboot framework for business logic and Mybatis for data access [1] - It also supports API output access, enhancing its usability for various applications [1]
期货日报数据产品在郑州数据交易中心挂牌登记
Qi Huo Ri Bao· 2025-09-19 10:01
Core Insights - The "Futures Daily" data product named "Market Overview" was registered at the Zhengzhou Data Exchange Center on September 16, aiming to better unlock the value of data assets [1] Group 1: Product Overview - "Market Overview" is an online newspaper retrieval system that processes newspaper information from its inception in 1994 to the present, creating a standardized database that covers 30 years of market fluctuations, policy changes, and industry cycles [1] - The database is primarily structured in SQL format, making it easy to search and compute quickly, supporting one-click queries for various keywords [1] Group 2: Technical Specifications - The product features a complete subscription and reading logic, utilizing the vue2 universal framework for the front end and Java as the development language for the back end [1] - The business logic is built using the Springboot framework, with data access implemented through Mybatis, and it also supports API output access [1]