Building systematic strategies requires clean, research-ready market data. But transforming raw feeds into usable datasets is complex and resource-intensive.
BMLL removes this burden by delivering harmonised historical order book data and analytics, enabling quant teams to focus on alpha generation, strategy development, and backtesting.
Systematic firms rely on speed, precision, and data quality to stay competitive. BMLL provides research-ready data to accelerate strategy development.
Explore market behaviour and test hypotheses using consistent, high-quality datasets.
Validate trading strategies across regimes using high-fidelity historical order book data.
Measure impact and optimise execution using granular pre-computed analytics.
Stress-test strategies against volatility regimes and changing market conditions.
Utilise a harmonised view of trades, quotes and order book messages to validate internal market data processes and normalisation.
| Platform | Benefit | Use Cases |
|---|---|---|
|
A secure cloud-based research environment that enables deep, scalable analysis of harmonised historical market data and pre-computed analytics without infrastructure overhead. |
• Alpha generation and signal research • Strategy backtesting • Order book modelling |
|
Delivers normalised datasets and pre-computed analytics directly into your environment for seamless integration into existing workflows. |
• Systematic backtesting pipelines • Continuous risk model updates • Large-scale data ingestion |
|
A no-code analytics platform that provides instant visibility into market quality and liquidity dynamics. |
• Strategy validation • Liquidity monitoring • Market regime analysis |
Access to our full range historical harmonised and normalised level 3, equities, futures, options and prediction markets market data, built in analytics and compute that scales across CPU and GPU. Built for alpha, insights, research, development and data science. Designed by quants.
15 April 2026
BMLL & Pico Anonymised Case Study
A systematic trading team at a leading global asset manager set out to develop sub-day trading algorithms for the US equities market. By partnering with BMLL and Pico, they harnessed normalised historical data and real-time, low-latency infrastructure to launch a fully operational intraday trading platform within a year.
17 February 2026
Powering microstructure research for energy and commodity markets
A systematic trading team at a global energy firm needed a research environment to analyse microstructure and backtest strategies across energy futures. Instead of building in-house, they used BMLL’s data and tools to implement a scalable, fully operational solution within months, enabling fast and efficient strategy development.
5 September 2024
How data science infrastructure as a service can create a competitive advantage
Aleto (formerly Magma Capital Funds) 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 Magma Capital Funds was able to overcome these challenges.
Discover how BMLL helps trading desks optimise execution and market insight