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Market Data Explained A Practical Guide to Global Capital Markets Information Marc Alvarez Chapter 1-- Introduction Working with global capital markets data can be a bewildering experience—one of the bigger challenges analysts and other professionals encounter over the course of their career. The Volume of traded securities Complexity of the content(Over 500 statistical facts at least) Over the past five years, my work at TAP solutions has centered on bringing some sense of order to what appears to most people to be chaos. The objective has been to make capital markets data content available on demand to business users via industry standard. As part of this effort, a significantly large universe of the data content has needed to be categorized and inventoried, with the focus on producing a high-performance relational database system. In turn, this exercise has required the use of a data model, called the Global Capital Markets (GCM for short) Data Model. GCM is a logic data model, which is designed to serve as a means by which the logic and relationships associated with market data content are communicated to data users. In this way, users have a standardized view of market data generated by the international capital markets on a daily basis, and data are made available via standard interface to business users. This guide is intended for just this purpose—to provide an introductory tour of the logic and general structure that can be applied to capital markets data content. The objective is to provide a conceptual understanding of how the relatively complex world of financial market data is represented within a single framework suitable for business users. About data models Entities Attributes Relationships About data sources Exchanges Market data vendors Internet websites In-house contributions Government agencies News agencies Standards and conventions Data Modeling Very basic ‘CROW’s foot’ Entity Relationship Diagrams (ERD) are used Structure and vocabulary Data t