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: How to organise, integrate and structure data for successful AI

Artificial intelligence (AI) is increasingly being rolled out across financial institutions, being put to work in applications that are transforming everything from back-office data management to front-office trading platforms. The potential for AI to bring further cost-savings and operational gains are limited only by the imaginations of individual organisations. What they all require to achieve...

BLOG

Nature-Risk Data Proposals Hailed as Pathway to Better Investment Decisions

Proposals to improve the nature-risk data value chain has been welcomed by sustainability data leaders who said they will pave the way for better decision making and reporting by financial institutions and provide more detailed analyses for investors. The proposals offer a slate of principles to improve the quality of state-of-nature data collection and integration...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

Impact of Derivatives on Reference Data Management

They may be complex and burdened with a bad reputation at the moment, but derivatives are here to stay. Although Bank for International Settlements figures indicate that derivatives trading is down for the first time in 10 years, the asset class has been strongly defended by the banking and brokerage community over the last few...