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: 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

Growing Modern Data Platforms Adoption Seen as Benefits Become Apparent: Webinar Review

Take-up of modern data platforms (MDPs) is expected to accelerate in the next few years as financial institutions realise the greater agility, scalability and deeper insights offered by the innovation. Organisations that have so far been relatively slow to adopt the streamlined platforms – because they have been unsure of the technologies’ benefits – will...

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

The Global LEI System – A Solution for Entity Data?

The Global LEI System – or GLEIS – has been in development since the middle of last year. Development has been patchy at times, but much has been done, leaving fewer outstanding issues, but also raising new questions. What’s emerging is a structure for the GLEIS going forward, complete with a mechanism for registering and...