Case Study: Synthetic Order Types

Monika kucharska

Synthetic Order Type Case Study Quod Financial
Case Study: Synthetic Order Types
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  • 301 File Size
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  • 17th November 2023 Create Date
  • 17th November 2023 Last Updated
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The overall benefits of this feature are:

  • It enables the support of different non-native order parameters on all venues, such as trigger orders and Icebergs, while reducing rejections.
  • Trader time is freed up for more complex trades and for improving client relationships.


About Quod Financial
Quod Financial is a multi-asset OMS/EMS trading technology provider focused on automation and innovation – specialising in software and services such as Algorithmic Trading, Smart Order Routing (SOR), and Internalisation of Liquidity. Quod leverages the use of its data-driven architecture to support the demands of e-trading markets by combining AI/ML-enabled decision-making tools and dynamic market access with a non-disruptive approach to deployment. For more information visit:

Quod Marketing
+44 20 7997 7020