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 Integrates Python with TimeScape

Subscribe to our newsletter

Xenomorph has integrated the Python Open Source scripting language with its TimeScape cross-asset data management platform, allowing developers to take advantage of the language’s fast time to prototype, test and change ideas, as well as its integration with other programming languages including C and C++.

Python has been built into the application programming interface of TimeScape and is available immediately, giving developers access to validated gold copy data, real-time data and analytics that are managed in the platform.

Commenting on the integration of Python with TimeScape, Naj Alavi, managing director of Xenomorph for the Americas, says: Python is a powerful scripting language that is used by a number of Xenomorph’s clients in back-testing trading ideas and prototyping analytics. The integration of Python means gold copy data validated in TimeScape can be accessed in Python. Quants, risk managers, IT and operations staff all have their preferred ways and environments for working with data. Our aim is to open up the benefits of data management to all users and departments, encouraging greater data transparency, higher data quality and lower costs in data use and reuse.”

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

Agentic AI Deployment Presents Potentially Dangerous Data ‘Trust Paradox’

Artificial intelligence deployment in capital markets’ data processes may be approaching an inflection point that, if not managed properly, could introduce dangerous risks to institutions’ operations. The growing deployment of anonymous agents has the potential to hardwire data errors into workflows, magnifying data weaknesses as the automating technology scales processes, according Informatica from Salesforce. The...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

GDPR Handbook

The May 25, 2018 compliance deadline of General Data Protection Regulation (GDPR) is approaching fast, requiring financial institutions to understand what personal data they hold, why they process it, and whether it is shared with other organisations. In line with individuals’ rights under the regulation, they must also provide access to individuals’ personal data and...