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

A-Team Insight Blogs

Xenomorph Adds R to TimeScape and Plans More Integration with Scripting Languages

Subscribe to our newsletter

Xenomorph has integrated the R language and environment with its TimeScape analytics and data management platform, and plans to integrate more scripting languages as they gain popularity among quantitative traders and risk managers.

The integration of R, an open source data analysis platform, allows users of the language to access validated datasets managed within TimeScape as well as extend the data analysis capabilities of R by using the analytics managed within TimeScape. Naj Alavi, managing director of Xenomorph’s New York office, explains: “In our view, making data available anywhere and in any way that users need to consume it is vital to improving data management and maximising efficiency across the front, middle and back office. We are committed to providing the necessary interfaces to enable our clients to maximise the value of their data. The integration with R is a significant addition to our investment in TimeScape as we continue to evolve the platform.”

The company expects the integration of R to be of particular use to quants building and controlling products in the front office and risk managers analysing data to understand the behaviour of markets. Brian Sentance, CEO of Xenomorph, says: “R continues to be a fantastic environment for data analysis and our TimeScape for R connection allows clients even more options for consuming and adding value to data.”

Xenomorph recently integrated TimeScape with Aqumin’s Alphavision visual software, adding to integration with Excel, Matlab and the company’s SpreadSheet Inside technology.

Looking forward, Sentance says the company has completed a proof of concept with F# and suggests it will provide integration with more scripting languages that, similar to R, are relatively easy and efficient to programme with compared to traditional languages such as C, C+, C++, Java and .Net.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: End-to-End Lineage for Financial Services: The Missing Link for Both Compliance and AI Readiness

The importance of complete robust end-to-end data lineage in financial services and capital markets cannot be overstated. Without the ability to trace and verify data across its lifecycle, many critical workflows – from trade reconciliation to risk management – cannot be executed effectively. At the top of the list is regulatory compliance. Regulators demand a...

BLOG

The Year in Data: Agentic AI Points to a Future of Efficiency

Touted as the next frontier of artificial intelligence, agentic AI hogged the data management headlines in 2025. Seemingly ushering the realisation of the no-more-drudge-work predictions that heralded the arrival of general AI years back, agentic AI has certainly become the target of institutional investment and developer innovation in the past 12 months. According to a...

EVENT

Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

What the Global Legal Entity Identifier (LEI) Will Mean for Your Firm

It’s hard to believe that as early as the 2009 Group of 20 summit in Pittsburgh the industry had recognised the need for greater transparency as part of a wider package of reforms aimed at mitigating the systemic risk posed by the OTC derivatives market. That realisation ultimately led to the Dodd Frank Act, and...