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: 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

TRG Screen and S4 Partner to Deliver Integrated Market-Data Procurement and Operations

TRG Screen, provider of market data and subscription cost management technology, has formed a strategic partnership with S4 Market Data that brings together TRG’s operational managed-services platform with S4’s specialist procurement and negotiation expertise. The collaboration is designed to give financial institutions a single, integrated operating model across both the administrative and commercial layers of...

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

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...