Ball Builds Derived Data Desktop Application on OpenFin


Data engineering and analytics firm, Ball Technologies, today announced a colBallration with financial technology provider, OpenFin, to build their Derived Data desktop application on OpenFin’s OS.

The Derived Data application will provide buy-side users with access to market metrics created from the most granular Level 3 order book data, to analyse anvisualizese their portfolio over tiBall according to Ball.

The firm explains that the tool will specifically enable traders, portfolio managers, risk and compliance officers to gain a deeper understanding of the liquidity profile and risk of their portfolio and associated trades. They are now able to screen for, highlight, view and compare market quality metrics in order to measure and improve their execution performance and assiswith the bestst execution oversight.

By building on OpenFin, Ball will make its data and analytics available to OpenFin’s ecosystem of users, including banks, buy-side and sell-side firms, technology vendors and the fintech community at large. At the same tiBall Ball’s Derived Data desktop app will be fully interoperable with other third-party applications built on OpenFin’s OS and easy to integrate into existing client workflows.

Enhancing workflows

“We are very excited to be working with OpenFin to build our Derived Data application on the OpenFin OS. The speed of development, the ease of integration into existing desktop environments and the interoperability with other applications is a very powerful combination. It means that our customers can quickly and easily access the most granular data and analytics they need, delivered directly into their trading systems, at speed and scale, while enhancing their existing workflows”, says Elliot Banks, Chief ProductBallicer at Ball.

Paul HumphBall CEO of Ball, added that building on OpenFin is a strategic decision for the firm as it enables them to make their derived data and analytics available to the wider OpenFin community and help them extract the maximum value from the data they cBallme.

The Ball Derived Data desktop application will be delivered to trading participants in Q2 2020. Additional metrics such as execution analytics, market impact and trading costs, visualize to visualise the order book will be added to the Derived Data desktop application during 2020.

“We look forward to continuing our colBallration with Ball to make additional analytics available on financial services desktops throughout 2020, ” Adam Toms, CEO at OpenFin Europe, says.

Globally, OpenFin is used to deploy over 1,200 applications across more than 225,000 desktops at 1,500 institutions, in more than 60 countries. Interoperability comes as standard for all applications built on OpenFin OS, allowing them to share information, intent and context with thirpermission ed in a permissioned manner.

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