About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Pricing Partners Launches Source Code Version of Flagship Price-it Solution

Subscribe to our newsletter

Valuations vendor Pricing Partners has launched a new source code solution and development platform for its flagship derivatives pricing and risk management solution Price-it. According to the vendor, the new solution is aimed at expediting the creation and development of a user’s quantitative pricing library, as well as reducing the project risk involved in such an endeavour.

To this end, Price-it Source Code allows users access to the solution’s analytics and pricing models source code, thus enabling them to reuse this code and begin the development of a quantitative library with a large base of models and analytics. The source code provided by the solution covers pricing models, numerical methods, calibration engine and analytics, and provides approximately 90% of the total code, says the vendor.

Eric Benhamou, CEO of the vendor, explains: “In Price-it Source code, clients have access to the source code of key parts in the pricing chain. Hence, they are insured of total flexibility and transparency for the future evolution of their pricing library and analytics.”

The solution provides a C++ library with approximately 1,200 classes and 600,000 lines of code, with API interfaces for standard Dll, Excel Xll, Com Dlls, Java JNI, XML, Misys Summit and Lexifi softwares, says Benhamou. It comes with a suite of testing environment and an auto-generation tool to rapidly export functions. It also covers a range of financial derivatives including credit, commodity, equity, foreign exchange, inflation, life insurance, fixed income, interest rates and hybrids.

Benhamou claims this is the first offering of its kind to provide source code to users and allow them to develop their own pricing libraries. The offering is reflective of the current market focus on transparency within valuations and the desire within financial institutions to retain a large proportion of this data in-house. By allowing firms to develop their own in-house libraries, the vendor is hoping to garner the share of the market that may be reticent to outsource this function.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

AI Agents are Rewriting the Future of Banking Data, Says Smartstream

Intelligent semi-autonomous AI agents promise a powerful solution to many challenges with the financial space. But their need for good-quality data is also highlighting the shortcomings that remain within some institutions’ data architectures. This apparent chicken-and-egg situation is one that Thomas Steinborn, chief product and technology officer at Smartstream, believes can only be resolved by...

EVENT

Eagle Alpha Alternative Data Conference, Fall, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...