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10 May, 2022

Is the equity market becoming more resilient to global turmoil?

Using BMLL Data, Euronext provides analysis comparing the market quality metrics in 2020 during the first wave of the Covid-19 outbreak and the recent market turmoil in 2022 caused by the Ukraine-Russia crisis.

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3 May, 2022

SIX Infosnack 10: Order routing: analyzing the optimization problem with the “rule of three”

Read about the core factors that trading participants take into consideration when routing orders.

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4 March, 2022

European order book quality research

BMLL is proud to support European order book quality research by SIX Swiss Exchange and the Institute for Operations Research and Computational Finance (ior/cf-HSG) of the University of St.Gallen.

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21 December, 2021

The TRADE predictions series 2022: data

Paul Humphrey, CEO, BMLL Technologies: 'When you understand the predictive power of Level 3 data, you understand the future was created yesterday.'

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16 December, 2021

Euronext Equities: Market Quality Analysis

Using BMLL Level 3 Data, Euronext provides a short market quality analysis in order to tackle this lack of information, while opening the door for further research.

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2 December, 2021

Customised Analytics Supporting Best Execution

Marc Berthoud, Head of Exchange Data Strategy at SIX, explains in a video interview how SIX Swiss Exchange partners with BMLL.

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30 November, 2021

Jefferies has teamed up with BMLL Technologies

and deploys cloud computing capabilities to carry out detailed analysis, allowing the team to understand on a granular level what happens to the order book when they trade passively or aggressively.

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18 November, 2021

BMLL Delivers Level 3 Futures Data from Three Exchanges

The BMLL Level 3 Futures Data product brings together full-depth order book data for all major futures asset classes in a harmonised format within a scalable compute environment.

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17 November, 2021

BMLL consolidates cross-asset futures data across all major futures asset classes

The new product, BMLL Level 3 Futures Data, aims to minimise the time institutions spend gathering and filtering futures data by packaging.

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