BMLL, a provider of Level 3 data and analytics for global equity and futures markets, has expanded its equities and ETF data coverage to include Asia Exchanges.
This expansion offers market participants a global view of market or venue behaviour based on the most granular Level 3 data available, including Level 3 data from CBOE Japan, Japannext and Singapore Exchange, complementing the existing Tokyo Stock Exchange data already offered within the BMLL product suite.
BMLL users, including banks, brokers, asset managers, hedge funds, global exchange groups, academic institutions, and regulators, now have access to the most granular Level 3, T+1 order book data on a global scale, as well as advanced pre and post-trade analytics.
Benefits of Asia exchanges expansion
Adding Asia Pacific data coverage benefits buy-side firms looking for Level 3 alpha in Asia markets and sell-side execution firms that can enhance their product offering by leveraging Level 3 order book data and analytics. This addition to BMLL’s coverage also benefits Asia exchanges, allowing them to perform venue comparisons against their peers both locally and globally.
CEO of BMLL, Paul Humphrey, stated that “the demand for high-quality historic market data has grown exponentially as participants need to understand market or venue behaviour across the US, EMEA and APAC. They need to get the full picture of market quality, liquidity, and order dynamics to ultimately make better-informed decisions on the markets they trade and the venues they run.”
Humphrey also mentioned that BMLL’s mission is to continue democratising access to Level 3 data and analytics and widen their data coverage across global jurisdictions.
Dr Elliot Banks, chief product officer at BMLL, further added: “Exchanges across APAC, EMEA and the US can carry out venue analytics, compare equities and ETFs, without the need to buy, curate and harmonise data. They can do this across a much larger, global market that now also includes Japan, a fragmented trading environment with multiple venues.
BMLL captures more than seven years of every insert, modify, execute or delete order book message, available at a T+1 basis at tick level granularity. The platform was founded in 2014 in the machine learning laboratories of the University of Cambridge.
