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

Upcoming Webinar: Agility as Alpha: How Trading Infrastructure Determines Who Wins in Volatile Markets

Date: 21 May 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Tariff shocks, geopolitical realignment and macroeconomic regime shifts are redrawing the investment landscape faster than most firms’ technology stacks can keep up. For hedge funds and asset managers, the ability to move quickly into new asset classes, geographies or...

BLOG

BMLL and Tradefeedr Partner to Build AI-Ready Analytics Layer for Equities and Futures

BMLL Technologies, the independent provider of harmonised historical order book data, and Tradefeedr, the network-based trading analytics platform, have announced a partnership to extend Tradefeedr’s analytics capabilities into equities and futures. The initiative, which includes a year-long industry pilot, represents Tradefeedr’s first move beyond its established FX analytics franchise and signals a broader ambition to...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

The Global LEI System – Slow but Sure

After what looked like a slow start to the summer, the initiative to establish a global standard for legal entity identifiers (LEIs) took a series of significant leaps forward during August, that appears to have put the project firmly back on track. If the marketplace felt a little reticent in June and July, it could...