just now
May 18, 2021 - Capital markets trading technology provider Fluent Trade Technologies has announced today that the company has moved into the Fixed Income trading environment. 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 will now benefit from Fluent’s super-fast data unification and aggregation, Pricing and RFQ engines and full distribution capabilities across more asset classes. Management of complex end-to-end workflows through next-generation software is augmented further by 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.’’
Today's announcement from the company stated, "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."
