13 October, 2023
About BMLL Fact Sheet
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pdf13 October, 2023
Quants Fact Sheet
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pdf17 October, 2023
BMLL ETF Issuers Fact Sheet
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pdf17 October, 2023
BMLL Futures Fact Sheet
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PDF17 October, 2023
BMLL Daily Classified Trades Fact Sheet
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pdf1 November, 2023
Quantitative Buy-Side Fact Sheet
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1 November, 2023
BMLL Level 2 Quotes Fact Sheet
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pdf17 October, 2023
BMLL Vantage Fact Sheet
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pdf17 January, 2024
Millisecond CBBO Fact Sheet
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pdf17 January, 2024
BMLL Daily Analytics Fact Sheet
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pdf17 January, 2024
BMLL Intraday Analytics Fact Sheet
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pdf6 February, 2024
BMLL Data Lab Fact Sheet
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pdf28 March, 2024
BMLL Retail Brokers Fact Sheet
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pdf12 June, 2024
Level 1 Quotes Fact Sheet
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pdf12 June, 2024
Trades Fact Sheet
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pdf25 July, 2024
Retail Trades Fact Sheet
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17 October, 2023
The Data and Analytics Race: How to win in a future determined by historic data
In this webinar moderated by The TRADE, we welcomed industry leaders from Berenberg, Redburn, SIX, Newton Investment Management Group and BMLL to discuss the strategies the sell side is deploying, and how the buy side is developing its approach.Watch now
24 October, 2023
NYU Courant Mathematical Finance & Financial Data Science Seminar
In this Seminar, Dr Elliot Banks, Chief Product Officer, BMLL, joins Petter Kolm, NYU Courant Professor, and his team at the NYU Courant Institute of Mathematical Sciences to discuss data science and machine learning in finance.Watch now
17 October, 2023
CloudQuant Alpha Webinar Series: BMLL Level 3 Data
BMLL has partnered with CloudQuant to make our historical Level 3 Market Data available via the CloudQuant Platform.Watch now
17 October, 2023
BMLL Data Lab
The BMLL Data Lab takes the most granular order book data available and combines it with easy-to-use APIs and analytics libraries in a secure cloud environment. Perform scalable research without the burden of data sourcing, data curation or data engineeringWatch now
17 October, 2023
BMLL Vantage Product Video
An intuitive no-code visual application, bringing exceptional granular insight to all market participants by providing over 500 metrics derived from BMLL Level 3 Data, covering EMEA, the Americas and APAC Equity and ETF venues.Watch now
25 April, 2024
What is in your VWAP?
Understanding fragmentation across the European trading landscape is critical. Do you know how much of that liquidity is addressable?Watch now
17 October, 2023
FINRA Data
BMLL has added FINRA data to its US suite of venues which already includes all major Exchange Groups in the US. Our visualization tool, BMLL Vantage, allows you to break out the FINRA Data and easily navigate the depths of liquidity across the entire US spectrum.Watch now
17 November, 2023
European Liquidity Maps - Introduction Video
This report offers a comprehensive view of European trading across various venues and mechanisms over the past year.Watch now
30 November, 2023
US Liquidity Maps - Introduction Video
This report offers a comprehensive view of US trading across various venues and mechanisms over the past year.Watch now
19 December, 2023
BMLL Vantage Video Series - Index Level Analytics
BMLL’s pre-computed index-level analytics make it quick and easy to analyse regions, countries and sectors. Track liquidity, fragmentation and market quality trends across long dated time horizons in seconds.Watch now
3 September, 2024
BMLL Vantage Video Series - Equities Overview Reports
In BMLL Vantage, you can quickly access overview reports of equity markets across Europe and the US.Watch now
14 February, 2024
BMLL datasets available via Snowflake Marketplace
BMLL European and US equities, and ETF datasets now available via Snowflake MarketplaceWatch now
16 April, 2024
Harmonisation vs Normalisation
BMLL data delivers consistency, including all venue specific fields which are kept within the schema. All information is captured and harmonised into a single format. Quants are freed to spend 100% of their time on deriving actionable insights.Watch now
21 May, 2024
BMLL Vantage Video Series - Contributor Drilldown
In BMLL Vantage, you can see which instruments contribute to a data point with the new Contributor Drilldown feature. It's easy to identify which instruments are responsible for outliers in the data.Watch now
17 October, 2023
Case Study - Data engineering for early-stage hedge funds: how data science infrastructure as a service can create a competitive advantage
Aleto is a start-up Hedge Fund that delivers cutting-edge product and technology offerings to empower RIAs. Gershie Vann, CEO and Founder speaks to BMLL about the complexities and challenges of setting up a new systematic hedge fund, and how Aleto was able to overcome these challenges.Read more
17 October, 2023
Case Study - The Swiss Stock Exchange INITIATIVE FOR DELIVERING THE SWISS EBBO SERVICE
BMLL worked with SIX to provide customised order book analytics for Swiss EBBO. These analytics combine anonymised orderbook data from SIX with BMLL's unique harmonised Level 3 Data.Read more
17 October, 2023
Case Study - Berenberg’s TIA, The Next Frontier in Execution Analysis
Jason Rand, Global Head of Electronic Trading, Berenberg, discusses how democratising access to quantitative execution analytics and data visualisations leads to better trading outcomes for participants.Read more
17 October, 2023
How to compete in a complex landscape: Unleashing the power of big data for start-up hedge funds
In order to develop effective investment and trading strategies, quantitative or systematic hedge funds require robust infrastructure to carry out extensive research and run complex computation and continuous model calibrations. Our CPO Elliot Banks looks at how hedge funds can level the playing field.Read more
17 October, 2023
Granular tick data combined with cloud sharing allow for optimized execution analysis
Data is considered to be the new oil. In Capital Markets there is an increasing use of rich granular data to drive sophisticated execution analysis and point of execution, yet deeper levels of data haven’t been easy to obtain. FactSet recently partnered with BMLL to offer granular Level 2 content derived from Level 3 data.Read more
pdf14 December, 2023
Data-Led Insights Help Stock Exchanges Expand Market Share And Enter Untapped Markets
Exberry enables its matching engine customers to access BMLL’s granular venue analytics to understand how their venue compares to its peers. With requirements to retain revenues and ideally increase them, exchanges are having to make efforts to increase market share and expand into new markets. But how can trading venues safeguard the success of these efforts? Read the full paper by ExberryDownload
pdf17 January, 2024
€STR Wars: Attack of the Clones
As €STR continues to grow and gain market share, understanding the liquidity profile of competing €STR futures on ICE, CME and Eurex will be critical for market participants to trade better.Download
pdf2 February, 2024
Stamping it out: Understanding the impact of recent stamp duty changes on the Chinese equity market
This article explores how the recent reduction in stamp duty in China has affected market behaviour.Download
3 April, 2024
€STR Wars: Attack of the Clones Part 2
As €STR continues to grow and gain market share, understanding the liquidity profile of competing €STR futures on ICE, CME and Eurex will be critical for market participants to trade better. This article identifies the trends in trading volume for €STR futures in Q1 2024.Read more
1 May, 2024
Tick Size: To Change Or Not To Change?
Tick size is critical to the price formation and liquidity provision process and rarely changes. But when it does, granular Level 3 data can shed light on the impact of tick size changes and what it means for market participants.Read more
23 January, 2024
Spot the Highs: Bitcoin ETFs 1 week later…
In this article, we look at the impact of Spot Bitcoin ETFs one week after their listing.Read more
27 August, 2024
Bringing Transparency to the Post Trade Landscape - FCA Changes One Month Later
The UK regulator (FCA) made a number of changes to post trade reporting requirements. We take a look at the impact this has had on liquidity discovery, and in particular, overall addressable liquidity.Read more
27 August, 2024
Looking into the Dark: Are you missing liquidity that’s addressable to you?
Optimising intraday trading - uncovering Dark and Addressable liquidity trends. For trading practitioners, it is essential to access both normalised Market States, and Trade Type fields, including categories such as Lit, Dark, and OTC to easily identify addressable versus non-addressable liquidity.Read more
27 August, 2024
The Great Sell-Off: A Deeper Look at Wall Street’s Dramatic Fall
This August, America’s leading share indices tumbled in volatile trading just weeks after they scaled record highs, bringing about Wall Street’s worst day in almost two years. Nazed Mannan looked at what really took place.Read more
pdf4 September, 2024
A Guide for Historical Market Data Buyers
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Level 3 Data is historical data, containing every message sent to an exchange or trading venue. Examples include order IDs, market state and trade condition codes, and matching engine timestamps. Level 3 Data provides the most complete historical view of the market.
BMLL takes the most granular data directly from the exchange or captured in colocation.
BMLL collects the data at the end of each trading day. It is processed overnight so that clients can consume the data on a T+1 basis.
No, BMLL provides all exchange licences and fully manages the relationship with the exchange(s).
Full BMLL data coverage can be viewed here: https://www.bmlltech.com/data/...
BMLL takes all available timestamps where appropriate (packet and exchange timestamps) and displays these both in a normalised and raw format.
Proprietary reference schema enables users to search, query and analyse any security within the BMLL universe, with a few lines of code. This allows BMLL clients to rapidly trial and explore new asset classes.
All BMLL products are fully documented. The BMLL Customer Facing Data Science Team works with clients to ensure they extract maximum value from our products.
Our cloud engineering dramatically improves research and analysis performance, and enhances speed to output. There is no information loss due to a single harmonised data schema across all venues and asset classes, and our simple Python low-code environment means you can easily access the data and derive meaningful analytics.
The data engineering is done, so you can focus on your business.