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: Enhancing trader efficiency with interoperability – Innovative solutions for automated and streamlined trader desktop and workflows

Traders today are expected to navigate increasingly complex markets using workflows that often lag behind the pace of change. Disconnected systems, manual processes, and fragmented user experiences create hidden inefficiencies that directly impact performance and risk management. Firms that can streamline and modernise the trader desktop are gaining a tangible edge – both in speed...

BLOG

Celebrating Excellence at the TradingTech Insight Awards Europe 2026

The pace of change across trading technology shows no sign of slowing. As markets become more complex, data-intensive and performance-driven, firms are rethinking how infrastructure, analytics and execution workflows interconnect across the trading lifecycle. Against this backdrop, the TradingTech Insight Awards Europe 2026 brought the industry together to recognise the solution providers delivering measurable impact...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...