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

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

Inside Bloomberg’s ASKB Roadmap: the Data Moat Behind the AI

When Bloomberg unveiled its 2026 roadmap for ASKB on 16 April, the headline framing was the evolution of the conversational AI interface – now in beta – from a discovery tool into “a deeply integrated engine for institutional intelligence.” Beneath that framing sits a substantial set of integrations: ASKB will work directly with Portfolio &...

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...