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彭博实时事件数据助力前台团队提升效率
彭博Bloomberg·2025-06-10 05:49

Core Viewpoint - Bloomberg has launched a real-time event data solution that provides a unified data channel for market events, news insights, market data, pricing, and analysis, enhancing its B-PIPE market data transmission product [1][2]. Group 1: Real-time Event Data Solution - The solution extracts and standardizes data from unstructured sources in real-time, addressing the challenges faced by front-office professionals in managing dispersed information and monitoring thousands of securities [1][2]. - It allows clients to receive real-time updates through a subscription mechanism, enabling them to focus on relevant event dynamics rather than passively receiving large amounts of information [1][2]. Group 2: Automation and Quality Control - Bloomberg combines automated processes with analyst oversight to provide critical event data streams that meet the speed and consistency demands of front-office teams [2]. - The solution employs automated data collection, text analysis, and data parsing technologies to capture hundreds of thousands of announcements and news releases at the moment of publication, with quality control measures enhancing data accuracy [2]. Group 3: Product Offerings - The real-time event data solution includes several products: - Company Earnings Data Stream, covering over 10,000 companies and key performance indicators (KPIs) [2]. - Company Event Calendar, providing forward-looking schedules and updates for over 50,000 listed companies [2]. - Economic Bulletin Data Stream, offering comprehensive data on over 3,000 market-impacting indicators from more than 100 countries [2]. Group 4: Access and Integration - Users can access company earnings data through {MODL }, company event calendar data through {EVTS }, and economic bulletin data through {ECO } [3]. - The solution is designed for flexible use across various internal departments and integrates with Bloomberg Terminal desktop solutions to ensure data consistency between user operations and automated workflows [2].