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

Data Platform Modernisation: Why The Hardest Problems Are No Longer Technical

Capital markets firms pursuing data platform modernisation have largely solved the technical challenges of compute and storage, but the organisational, governance and architectural decisions surrounding those platforms remain stubbornly difficult, according to practitioners from Northern Trust, RBC Wealth Management and LSEG, speaking at a recent A-Team Group webinar entitled Data platform modernisation: Best practice approaches...

EVENT

RepRisk Sustainability Breakfast Roundtable London

The London sustainability breakfast is part of the global roundtable thought leadership event series hosted by RepRisk in key markets, including, New York, Toronto, London, Frankfurt, Oslo, Copenhagen, Stockholm, Hong Kong and Singapore in 2026.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...