24 January, 2023
Going for growth to democratise Level 3 data
Best Execution caught up with Paul Humphrey, CEO of BMLL, which recently secured $26m of Series B investment to support the firm’s growth strategy.Read more
9 January, 2023
Cboe Europe Equities Yearly Recap and Look Ahead
Using BMLL harmonised data Natan Tiefenbrun, President, Cboe Europe, compares time at EBBO, across the FTSE100, with Cboe's competitor venues.Read more
22 December, 2022
The TRADE predictions series 2023: Data
Paul Humphrey, CEO, BMLL Technologies: 'Firms that realise the predictive power of Level 3 data will understand their markets better, derive more predictive analytics, and leave those still using lower-quality data behind.'Read more
8 December, 2022
Tight NBBO Matter to Off-exchange Trades Too
Using BMLL Data, Phil Mackintosh, Chief Economist, Nasdaq, explore the differences in price between odd NBBO and the NBBO-midpoint for the same stock and highlights why the difference is importance for the end investor.Read more
14 November, 2022
IEX ‘Boxes and Lines’ market structure podcast
IEX’s Ronan Ryan and John Ramsay talk with BMLL’s Paul Humphrey and Dr Elliot Banks in Ep. 72 ‘What’s historical data anyway?’.Read more
11 October, 2022
BMLL Launches Data Visualisation Tool for Equities & ETFs
BMLL Vantage democratises access to Level 3 order book data and analytics through an intuitive visualisation tool, thereby removing the need to code in order to derive meaningful insights.Read more
6 October, 2022
What Makes Other Countries’ Trading Tick?
Using BMLL Data, Phil Mackintosh, Chief Economist, Nasdaq, examines how the system of round lots and 1-cent ticks in the U.S. creates inefficiency as stock prices rise and fall.Read more
15 September, 2022
Comparing AAPLs and Apples
Using BMLL Data, Phil Mackintosh, Chief Economist, Nasdaq, analyses 'Average Spread at Notional Depth' when comparing Nasdaq and NYSE market quality.Read more
13 September, 2022
SIX Infosnack 11: Crumble in the Jungle
Using BMLL data, SIX highlights the trade-off between fill probability and adverse selection utilising Order Book Imbalance (OBI) state and a Crumbling Quote Signal (CQS).Read more