Case Study: Synthetic Order Types

Monika kucharska

Synthetic Order Type Case Study Quod Financial
Case Study: Synthetic Order Types
  • 1 Version
  • 340 Download
  • 301 File Size
  • 1 File Count
  • 17th November 2023 Create Date
  • 17th November 2023 Last Updated
Download LinkedIn
By submitting your details, you are agreeing to receive communications about Quod Financial resources, events, products or services. For more information on how we collect and use your data please refer to our privacy statement

SYNTHETIC  ORDER TYPES

Benefits

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: www.quodfinancial.com

Quod Marketing
+44 20 7997 7020
marketing@quodfinancial.com

File
CASE-STUDY-2023-Synthetic-Order-Types.pdf