Consuming market data in the same format regardless of its source is instrumental in building high-performance systems that focus on features and intended functionality rather than dealing with the complex logic involve in handling incoming data.
Market data is pushed to clients using protocols optimized for streaming with a minimum set of meaningful fields to minimize bandwidth requirements, latencies, and transfer times.
Data from each source is normalized on the server before it is fanned out to clients. As a result, messages of the same type regarding business logic are streamed to clients using the same format.
Server-side compression could be applied upon request by the client to reduce the data being transferred.
In the case of client applications with lower data intensity requirements, message conflation could be applied.
Even though the messages come with a predefined minimum set of fields according to their specific business meaning, additional fields could be added to address particular client requirements (subject to their availability in the source feed).
The client may leave the entitlement control on the server or, if the corresponding exchange requirements are met, may take it over and assume responsibility for subsequent reporting.
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