About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Briefs

BMLL Expands Data Offering with Six Years of Historical OPRA Options Data

Subscribe to our newsletter

BMLL, provider of harmonised Level 1, 2, and 3 data across global equity, ETFs, and futures markets, has added OPRA (Options Price Reporting Authority) data to its platform. Market participants now have access to six years of nanosecond unconflated OPRA options data, complementing existing US equity and futures datasets. This historical dataset is available via the BMLL Data Lab and BMLL Data Feed through AWS S3.

OPRA consolidates and distributes critical options market information from all U.S. equity options exchanges, supporting traders, brokers, and institutional investors in understanding market dynamics, assessing liquidity, and optimising strategies. The data aids buy-side firms in backtesting strategies and generating alpha, while sell-side firms utilise it for execution algorithm optimisation and tracking market structure changes. Exchanges leverage the data to evaluate market share across platforms. BMLL’s normalised tick history dataset ensures accuracy and usability for these applications.

Paul Humphrey, Chief Executive Officer of BMLL, commented: “Adding OPRA options data is another significant milestone in our data coverage expansion strategy. To date, we have built out our equities coverage to 98% of the MSCI All-Country World Index. Including OPRA options in our data and analytics capabilities is a natural evolution for BMLL, driven by customer demand for a best-in-class product and very much in line with our multi-asset strategy.”

David Robinson, Chief Technology Officer at BMLL, added: “Making OPRA data available via BMLL Data Lab and BMLL Data Feed, via AWS S3, is another step in our mission to democratise data and analytics at scale and meet our customers where they need us to be. They can now gain immediate access to this significant dataset in a cloud-based environment, at a level of conflation that suits their own specific needs, and at the highest quality available in the market today.”

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

LSEG and Microsoft Deepen Partnership to Power AI Agents with Financial Data

The London Stock Exchange Group (LSEG) and Microsoft are taking the next step in their strategic partnership, announcing a plan to transform how financial services professionals interact with data by embedding LSEG’s vast datasets into Microsoft’s AI ecosystem. The collaboration will enable users to build and deploy customised AI agents, or ‘Copilots,’ within their daily...

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

Entity Data Management Handbook

Following on from the success of our Regulatory Data Handbook, A-Team Group is pleased to introduce its new Entity Data Management Handbook which is available for free download. This Handbook is the ultimate guide to all things entity data: Why Entity Data is important A full review of Legal Entity Identifiers (LEIs) Where they came...