
Fact Sheet
22 May, 2025
Institutional Buy-Side Fact sheet
The institutional buy-side faces rising competition, tighter margins, and regulatory pressure, driving demand for greater efficiency. BMLL supports this by delivering managed data and tools to increase alpha, cut costs, enhance client service, and meet compliance needs.Download

White Paper / Article / Insight
20 May, 2025
Life is a beach … if your data is clean
6 things buy-side traders need to know. Historical data quality is no longer a "nice-to-have" - it’s foundational to effective trading.Download

White Paper / Article / Insight
14 May, 2025
BMLL’s Big Data Dream: Turning Market Noise Into Market Insight, One Packet at a Time
Paul Humphrey, Chief Executive Officer, BMLL, sat down with John Lothian News at the FIA Boca50 conference. Hear the interview.Read more

White Paper / Article / Insight
13 May, 2025
Let's Talk Markets Live: Digging into the data with Elliot Banks from BMLL
Hear Dr. Elliot Banks, Chief Product Officer at BMLL speak with Dave Launer from Urvin Finance about BMLL's data.Read more

Case Study
12 May, 2025
Optiver relies on BMLL market data for quant strategy
The market-maker has built its trading business on top of BMLL’s Level 3 data. But the collaboration is young, and the pair have grand plans to make options the next quant frontier.Download

Case Study
12 May, 2025
A new approach to Level 3 market data
This article is the story of how Optiver became, first, customers of BMLL’S Level 3 historical data, and then investors. It’s also the story of how companies like BMLL, with the help of Optiver, are putting the ‘buy’ into the age-old ‘build versus buy’ question when it comes to historical market data.Download

Case Study
9 May, 2025
Kepler Cheuvreux’s KCx introduces new smart order router
The new SOR uses BMLL Level 3 data and aims to assist clients in achieving execution and liquidity capture.Read more

White Paper / Article / Insight
24 April, 2025
The Hive Mind Guide to: Historical Data 2025
In an environment where every player can access up-to-the-minute information, the true differentiator is the ability to harness historical data to forecast trends, optimise algorithms, and refine execution strategies.Download

Product Video
14 April, 2025
How To Generate Volume Profiles
The BMLL Data Lab, the scalable Python research sandbox, makes market data available as quotes or trades data. You can generate detailed volume profiles across venues, time frames and instruments - in seconds. Analyse liquidity patterns; Identify intraday trends; Spot trading opportunities.Read more