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

Continuum Analytics Provides Python Insight into Thomson Reuters Databases

Subscribe to our newsletter

Continuum Analytics is providing access to Thomson Reuters’ QADirect data offering via Wakari, its browser-based Python data analytics platform. Python is an open source computer language that was first released in 1991, and which has grown in popularity in part because of its emphasis on code readability and compactness. A number of financial markets participants are known to be using or evaluating it.

QADirect comprises data spread across a number of databases, including Worldscope, Datastream and I/B/E/S, and is focused on the needs of quantitative research. It provides access to normalised data from different sources via a single identifer. It is typically deployed on a customer site with daily updates, and is hosted in a relational database, such as from Microsoft or Oracle. Access is via SQL or an analytics package, including SAS, S-Plus, Matlab or R, or via Thomson Reuters own QA Studio analytics interface.

Austin, Texas-based Continuum specialises in Python-related technology, for data management and analytics. Founded in 2011, Continuum is privately backed and earlier this year received $3 million if funding from the Defense Advanced Research Projects Agency (DARPA) to develop visualisation techniques for large, multi-dimensional datasets. It released Wakari into beta in December 2012, providing an easy mechanism for developers to create data analytics using Python. Wakari includes IOPro, a library developed specifically to optimise access to large datasets, such as QADirect.

Says Continuum president Peter Wang, Python provides a simpler data access method than traditional SQL, reckoning that Python can do in one line of code what SQL takes five or six to acheive. It is also an easier programming language to read, compared to the likes of C, C++ and Java, he contends.

Wakari can either be installed within an enterprise or accessed as a managed service, in which case it relies on cloud EC2 (compute) and S3 (storage) infrastructure from Amazon Web Services. It also can leverage GPU-accelerated compute nodes. One of the strengths of Wakari, says Wang, is the ease of sharing analytics results, which can be acheived by sharing a single URL.

Python has clearly caught the interest of financial markets developers. More than 300 attended a recent New York Python in Finance conference, hosted by Bank of America Merrill Lynch, which featured speakers from Continuum, and addressed topics including visualisation, scalability, GPU support, and integration with the likes of R and Microsoft Excel.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Role of Data Fabric and Data Mesh in Modern Trading Infrastructures

The demands on trading infrastructure are intensifying. Increasing data volumes, the necessity for real-time processing, and stringent regulatory requirements are exposing the limitations of legacy data architectures. In response, firms are re-evaluating their data strategies to improve agility, scalability, and governance. Two architectural models central to this conversation are Data Fabric and Data Mesh. This...

BLOG

BMLL and Ultumus Partner to Enhance ETF Trading Analytics with Level 3 Data

Market data and analytics provider BMLL has entered into a strategic partnership with Ultumus, a leading specialist in ETF and index data, to deliver a combined data offering aimed at improving trading efficiency and analytics for the global ETF community. The collaboration integrates Ultumus’s widely used ETF reference and Portfolio Composition File (PCF) data with...

EVENT

Eagle Alpha Alternative Data Conference, London, 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

Hosted/Managed Services

The on-site data management model is broken. Resources have been squeezed to breaking point. The industry needs a new operating model if it is truly to do more with less. Can hosted/managed services provide the answer? Can the marketplace really create and maintain a utility-based approach to reference data management? And if so, how can...