Machine Readable Broker Research

Machine Readable Broker Research unlocks the value within equity research reports by cleansing and parsing reports to deliver structured text from partner brokers for Natural Language Processing (NLP) analysis.
For each partner broker in the collection, a machine readable version of the brokers' published equity research is delivered through our existing feed channels. With a parsed, metadata tagged version of equity research, analysis can include:

- Focused research across report categories such as economic analysis, fixed income, portfolio/asset allocation, as well as event driven topics such as initiation of coverage, M&A, and public offerings
- Overweight articles published by brokers or analysts in their sectors of expertise with person ID's available for all publishers
- Consistent schema across all brokers for ease of use
- Select only the brokers of the highest interest in your package; broker list available upon request
- We are currently providing content from BNP Exane, Bank of Montreal, Liberum, Berenberg Bank, Macquarie Group, and CLSA

Machine Readable Broker Research is powered by Kensho Extract.

搜集汇总

背景与挑战

背景概述

该数据集通过解析和清理合作经纪商发布的股票研究报告，生成结构化文本，以支持自然语言处理分析。它涵盖经济分析、固定收益等多种报告类别，并提供一致的架构和可定制的经纪商选择，目前包括BNP Exane等来源。