AxeTrading, the fixed income trading software provider, and Overbond, the fixed income capital markets fintech for AI predictive analytics, today announced the integration of the Overbond COBI pricing analytic platform with the AxeTrader EMS for the buy-side, sell-side and agency brokers.
This capability can be activated for any AxeTrader user with a simple configuration, which users can do themselves, their IT team can set up, or AxeTrading can send to them. This enables any AxeTrader user, that also has access to OverBond’s COBI analytics, to get direct access to insight specific to a selected security with a single click from their AxeTrader workflow.
AxeTrader software provides fixed income traders with market aggregation and trading workflows in a single desktop enabling more efficient and transparent trading using adaptive, open and flexible technology. AxeTrader interacts seamlessly across over 45 execution venues and connects to 11 leading market data sources, including Overbond. Traders are able to benefit from their choice of the broadest ecosystem of best in class trading and data applications.
COBI Pricing is Overbond’s most advanced AI bond pricing solution for electronic bond trading. It utilizes deep data aggregation and AI modelling trained on 5 years live markets data and 20 years of back-data history.
Vuk Magdelinic, CEO of Overbond said "Overbond COBI Pricing can enhance users’ bond trading workflow by providing precise executable prices in up to 30% more situations when there is no directly observable trading price in the market. Trading desk revenue can be grown significantly through their access to this insight. We are excited to integrate with AxeTrader and look to extend the COBI model to an expanded community of trading clients."
Mark Watters, CCO and co-founder of AxeTrading commented “Working with Overbond and other leading data providers, we at AxeTrading embrace the principles of interoperability to give Traders seamless control of their workflow. Some other platforms look to constrain and create a walled garden forcing users to be dependent on a limited range of options. We free them to make best use of their existing systems, diverse trading venues and the latest augmented data”.