BMLL Vantage Wins ‘Best Trading Analytics Platform’ at the Trading Tech Insight Europe Awards 2023

London, 1st March 2023

We are delighted to announce that BMLL has won Best Trading Analytics Platform at the Trading Tech Insight Europe Awards 2023. These awards recognise excellence in trading solutions, services and consultancy for capital markets, and focus on vendors providing exceptional trading infrastructure, trading technology, and data solutions.

BMLL was awarded “Best Trading Analytics Platform” for its flagship product BMLL Vantage, launched in Q4 2023. BMLL Vantage is a no-code data visualisation platform that brings exceptional granular insight to all market participants by providing over 450 metrics derived from BMLL Level 3 Data, covering European and US Equity and ETF venues.

BMLL Vantage users include:

  • Sales traders who need to understand market fragmentation, liquidity profiles and how different trading mechanisms impact available liquidity

  • Exchange analysts who need to understand how their venue compares to their peers analyse daily market share moves and liquidity profiles, spreads, order resting times and fill probabilities

  • ETF issuers who need to understand how their products are competing across different markets; gain a quick and easy view across all markets. They are able to condense data into a series of plots they can use to make more informed data-driven decisions

  • Quant researchers who need to derive valuable insights rapidly. They are empowered with a flexible exploratory tool that allows them to spot trends before using the BMLL Data Feed or the BMLL Data Lab to run queries on the relevant underlying data

Use cases include venue comparison to analyse different markets; smart order routing and trading logic to understand where orders are likely to get filled; liquidity provision to understand what is addressable liquidity; and closing auction visualisations.

Paul Humphrey, CEO of BMLL, said: “We are delighted to have been recognised as the Best Trading Analytics Platform at the Trading Tech Insight Europe Awards 2023. I’d like to thank the brilliant team who made BMLL Vantage possible with their hard work and dedication.”

He added: “BMLL Vantage is an out-of-the-box data science and visualisation tool which continues our mission of democratising access to the most granular Level 3 market data and analytics by removing the need to code in order to derive meaningful insights.”


About BMLL Technologies

BMLL Technologies is the leading, independent provider of harmonised, Level 3 historical data and analytics to the world’s most sophisticated capital market participants, covering European and US equities and ETFs as well as global futures.

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, 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, futures and ETFs for back-testing and simulation, delivered directly into their workflows.

BMLL secured $26 million in their Series B funding round in Q4 2022, led by Nasdaq Ventures, FactSet and IQ Capital’s Growth Fund to fuel further product and geographic expansion.

For more information please visit our website and follow us on Twitter @bmlltech and LinkedIn.