Execution as a Service

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Fully hosted, cloud based, execution as a service model with no application installation required.

Ediphy combines a sophisticated technology solution, entirely self-engineered, with its status as an FCA regulated investment firm. Ediphy offers an execution alternative to what is currently available to the buy-side (i.e. trading venue RFQ).

Solution focused on fixed income currently but with the potential for application to other asset classes.

Flexible execution options from in-sourced through co-sourced to out-sourced arrangements. Trading desks can augment their existing trading capability with the sophisticated Ediphy execution approach which harnesses data, liquidity indicators and multiple trading protocols to improve execution outcomes.

Key Features

  • Fixed Income product coverage including cleared IRS, Government Bonds, Credit and EM Bonds (Q2 2021).

  • Matched principal execution model.

  • Access to a range of execution venues/protocols along with direct connectivity to dealers.

  • Access to a range of trading protocols, including; multi dealer RFQ/CLOB/Auctions.

  • The application of complex execution strategies driven by a combination of high level client execution preferences and historic execution data.

  • A single consolidated ‘tape’ of MiFID II (RTS 2) transparency data used, along with other data sources, to assess optimal execution parameters.

  • Integral TCA tools to monitor execution performance.

Key Benefits

  • Improved market timing to better synchronize with episodic liquidity and dealer axes.

  • Reduced market impact and intention signalling.

  • Discover otherwise hidden or transitory liquidity, efficiently and at the moment of the trade.

  • Dealers able to provide electronic liquidity independent of the multi dealer trading venues.

  • Improved execution outcomes driven by data based execution decision making.

  • Leverage 1000’s of development hours to bring data-led execution to the traditional execution desk. Thereby, negating the need to invest in in-house data science teams.



Product/Service details