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

FactSet and BMLL Collaborate to Offer Level 2 Tick History and Analytics on the Cloud

Subscribe to our newsletter

FactSet, the global provider of integrated financial information and analytical applications, has collaborated with historical Level 3 data and analytics specialist BMLL Technologies, to offer granular order book history and analytics in the cloud. The initial release includes “Market by Price” Level 2 Tick History, which builds upon BMLL’s historic Level 3 data engineering capabilities.

Last month, FactSet led a USD 26 million Series B funding round in BMLL, along with Nasdaq Ventures and IQ Capital’s Growth Fund, to empower the financial community to make more informed investment decisions by accessing high-quality data and analytics.

Through the joint solution with BMLL, FactSet clients can now access Level 2 Data via the same symbology and APIs as the Level 1 Tick History that the company recently made available in Snowflake, using a common delivery platform. The tick history data can be combined with any of FactSet’s other content sets available in Snowflake, such as Corporate Actions, Symbol History, Sentiment Data, Fundamental Data, Event Transcript Data, and more.

“This is a combination of secret sauces,” says Jonathan Reeve, EVP & Head of Content and Technology Solutions at FactSet. “BMLL’s secret sauce is in how capture Level 3 data, which creates a high-fidelity Level 2 product from a tick history perspective. What FactSet brings to the equation is our next generational distribution. We deliver a lot of content over cloud technologies, and much of that is done through Snowflake. Snowflake’s secret sauce is the capability it offers around data sharing, so users no longer have to ship large amounts of data. And obviously, tick data is very large. FactSet’s other secret sauce is our symbology and reference data, providing the ability to connect symbols and the data itself, which brings context to the tick data, adding more insight.”

“This very much a client-driven initiative,” adds Paul Humphrey, CEO of BMLL. “FactSet knows these clients intimately and has done for many years. Those clients want a high-quality Level 2 product. That’s what’s driven this, and why the partnership made sense. FactSet came to a Level 3 specialist to help them build a better Level 2 product, precisely because they knew what their customers wanted.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

TEST Event page 1

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and 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

Enterprise Data Management

The current financial crisis has highlighted that financial institutions do not have a sufficient handle on their data and has prompted many of these institutions to re-evaluate their approaches to data management. Moreover, the increased regulatory scrutiny of the financial services community during the past year has meant that data management has become a key...