Fluent moves into fixed income

Fluent Trade Technologies, the market-leading innovator in global Capital Markets trading technology has moved into the Fixed Income trading environment.

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Responding to growing demand from its FX and Futures customers, Fluent has expanded its high performance, ultra-low latency framework to enhance Fixed Income trading efficiency. Market participants and their end-clients now benefit from Fluent’s super-fast data unification and aggregation, sophisticated Pricing and RFQ engines and full distribution capabilities across more asset classes. Superior management of complex end-to-end workflows through next-generation software is augmented further by best-in-class pre-trade credit/trading risk and flow risk management layers.

David Faulkner, Managing Director, Fluent Trade Technologies, said: “Demand to bring the Fixed Income trading experience in line with technology advances in FX and Futures markets presents a significant opportunity to Fluent. Our customers want to enjoy the same market-leading services, enhanced decision-making capabilities and price distribution efficiencies across all of the asset classes they trade. Data is the driver of every trading decision. We prove that optimising end-to-end system efficiency across the automated trading lifecycle generates greater revenue opportunities and reduces operating costs.’’

Leveraging in-house expertise in newer protocols such as UDP Multicast and SBE, Fluent's reputation as the fastest trading platform available continues. Its platform transforms the way in which its customers operate and it is able to scale continually to accommodate customers’ increasing requirements. In addition, eliminating any requirement for code integration hastens customers’ time-to-market significantly. Trading components within the Fluent single framework solution include Market Connectivity, Aggregator, Pricing and RFQ Engine, Distribution, Advanced Pre-trade trading and credit Risk Management, Matching Engine, SOR and Algos and sophisticated STP and Reconciliation.

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