BMLL Wins ‘Best new technology introduced over the last 12 months - Analytics’ for BMLL Trades Plus at the WatersTechnology American Financial Technology Awards 2025
London / New York, 8 December 2025: We are delighted to announce that BMLL has won ‘Best new technology introduced over the last 12 months - Analytics’ for BMLL Trades Plus at the WatersTechnology American Financial Technology Awards (AFTA) 2025. These awards recognise excellence in the deployment and management of financial technology within the asset management and investment banking communities.
BMLL was awarded “Best new technology introduced over the last 12 months - Analytics”, for BMLL Trades Plus, an advanced, multi-purpose equities dataset that was developed in response to demand from members of the BMLL Client Product Advisory Board (CPAB).
Traders and analysts needed to combine trade data with quote data to generate TCA, Best Execution Analysis or compare Market Quality using multiple feeds. BMLL Trades Plus provides a globally consistent view of every trade by combining granular historical trade data with BMLL's proprietary trade classifications, L1 quotes, custom flags and extensive analytics across global exchanges.
It enables users to take analysis further, transforming trade records into actionable intelligence to produce detailed TCA, backtest execution algorithms, and identify liquidity provision opportunities - without the need to write and maintain the underlying code.
Paul Humphrey, Chief Executive Officer of BMLL, said: “We are delighted that the BMLL Trades Plus has been recognised as the ‘Best new technology - Analytics’ at the WatersTechnology American Financial Technology Awards 2025. We set up our CPAB to be more than a talking shop. Our mission is to elevate the standard of market data across the industry. CPAB members (sovereign wealth funds, global asset managers, sophisticated trading firms) give us deep insights into their collective requirements and future needs and help shape BMLL’s product roadmap. BMLL Trades Plus is testament to this approach, a best-in-class product that facilitates complex execution workflows simply and efficiently.”
The Trades Plus data product is immediately available across Europe via the BMLL Data Lab, a scalable Python research sandbox, and the BMLL Data Feed - via AWS S3, API, SFTP and Snowflake.
About BMLL
BMLL Technologies is the leading, independent provider of harmonised, Level 3, 2 and 1 historical data and analytics to the world’s most sophisticated capital market participants, covering global equities, ETFs, futures and US equity options.
BMLL offers banks, brokers, asset managers, hedge funds, global exchange groups, academic institutions and regulators immediate and flexible access to the most granular Level 3, 2 and 1 T+1 order book data and advanced pre and post-trade analytics. BMLL gives users the ability to understand market behaviour, accelerate research, optimise trading strategies and generate alpha more predictably.
Founded in 2014 in the machine learning laboratories of the University of Cambridge, the platform enables researchers and quants across global financial services firms to apply complex statistical techniques to BMLL’s unique big-data sets with applications such as market impact, pre and post trade analytics, order book simulation and compliance. Users no longer need to buy, curate and harmonise data. With BMLL, they gain cost-effective, instant access to a cloud-native Data Science environment via a single web portal, with a long history of the most granular, full order book data across global equities, US equity options, futures and ETFs for back-testing and simulation, delivered directly into their workflows.
In October 2025, Nordic Capital acquired BMLL. The investment was made in close partnership with the management team of BMLL and minority shareholder Optiver, marking a joint commitment to accelerate the company’s next phase of growth. Before this, BMLL secured $21 million strategic investment in October 2024, led by Optiver; $26 million Series B investment in 2022/2023; and $36 million in Series A and seed funding rounds.
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