BMLL Wins ‘Best Data Science Solution’ At The A-Team Data Management Insight Awards Europe 2023
London, 1st December 2023: We are delighted to announce that BMLL has won “Best Data Science Solution” at the A-Team Data Management Insight Awards Europe 2023. These awards recognise both established solution vendors and innovation newcomers providing leading data management solutions, services and consultancy to capital markets participants across Europe.
BMLL was awarded “Best Data Science Solution” for BMLL Vantage, the intuitive no-code visual application that brings exceptional granular insight to all market participants by providing over 500 metrics derived from BMLL Level 3 Data, covering European and US Equity and ETF venues.
BMLL Vantage is used by market participants to understand where liquidity lies, carry out venue comparison, conduct auction analysis and optimise trading and execution.
BMLL Vantage users include:
Sales traders - to understand market fragmentation, liquidity profiles and how different trading mechanisms impact available liquidity
Exchange analysts - to understand how their venue compares to their peers, analyse market share moves, order resting times and fill probabilities
ETF issuers - to understand how their products are competing across different markets
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
Paul Humphrey, CEO of BMLL, said: “We are very excited to win the ‘Best Data Science Solution’ category at the A-Team Data Management Insight Awards Europe 2023. BMLL Vantage is the highly intuitive, no-code data and analytics visualisation tool that makes quant insight available to a broader user base while freeing quants’ time to focus on deeper research.
My thanks go to our incredibly talented team for their continued dedication towards developing our unrivalled data science capabilities.”
BMLL Vantage provides all market practitioners with complete market transparency across the BMLL Equities, Futures and ETF universe from over 75+ execution venues and covering 485 metrics that are categorised in 14 groups: auction analysis; volatility; execution market impact; trade quality; trade prices; liquidation cost; OHLC bars; depth liquidity; spread; liquidity classification; venue price quality; order placement statistics; order fill behaviour; and liquidity around BBO.
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. Snowflake Ventures joined the investment round in September 2023.