MiFID2 uses a standard of "sufficient". Our view is that this means you need real-time data ingestion, persistence and analytics when evaluating which brokers to select for an RFQ and for post-trade justification to internal or regulatory audit.
MiFID language was about "reasonable" for which the consensus opinion was that selecting three brokers and capturing competing quotes at point of execution was all that was required.
Take some Java, RabbitMQ, Akka, Node.js, quick fix/j, d3.js, Python, CentOS, MongoDB (or MSSQL Server or kdb) add in some FIX connections and what have you got?
MiFID2 compliant pre-trade decision support and robust post-trade evidencing of best-execution for Fixed Income trading.
MiFID language was about "reasonable" for which the consensus opinion was that selecting three brokers and capturing competing quotes at point of execution was all that was required.
MiFID2 compliant pre-trade decision support and robust post-trade evidencing of best-execution for Fixed Income trading.
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