The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

ProFinance Chooses SIX Telekurs Data for its Bond Solutions Software

SIX Telekurs, a financial information provider is pleased to announce a partnership with ProFinance Services, a financial advisory firm providing financial research and investment solutions, that will bring together their experience in data collection and investment solution tools. Banks and non-banks will be offered innovative solutions for the analysis and selection of financial assets.

Built upon SIX Telekurs data, ProFinance Bond Solutions provides investment professionals with a consolidated view of the fixed income market to improve operational efficiency, to better manage risks and to select bonds.

Claude Morgenegg, senior partner at ProFinance Services, explains: “This agreement is important to us. It is a great opportunity to turn data into solutions. The depth of information and large coverage of SIX Telekurs’ data provides a solid foundation with which to construct our investment solution tools. Bond Solutions organises pertinent and useful intelligence into a single unified format. Thanks to the quality of SIX Telekurs’ data, professionals can trust ProFinance Bond Solutions to analyse, screen and support their bond trading decisions.”

Markus Benz, head of partner business at SIX Telekurs, says: “We are pleased that Profinance Services SA is using our SIX Telekurs bond data to create a bond investment decision service. The combination of our bond universe and their specialised knowledge of the bond market creates true value for investment professionals.”

ProFinance Bond Solutions is a dynamic platform that gives users access to credit market information and proprietary risk metrics to help measure risk exposure and capitalise on investment opportunities. It is a powerful screening tool that enables subscribers to apply a series of filters to identify bonds that meet their own individual selection criteria.

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