London-based BMLL Technologies is an independent provider specializing in Level three historical data and analytics for capital markets participants worldwide. The company collects raw data from global exchanges, trading venues, and trade reporting facilities across various asset classes, including equities, futures, and exchange-traded funds (ETFs). BMLL harmonizes this data into a consistent, information-rich format.
BMLL's Level three data provides transparency into the order book, derived from every order message across venues. It offers insights into order behavior, fill probability, resting time, queue dynamics, and predictive capabilities. Additionally, BMLL provides Level two and Level one data analytics.
BMLL's cloud engineering platform improves research and analysis efficiency by maintaining consistent data quality across various venues and asset classes through a harmonized data schema. The platform's Python low-code environment enables clients to access data and generate meaningful analytics.
The company's data and analytics offerings spanned over 100 trading venues globally as of June 2024. Clients, including banks, brokers, asset managers, hedge funds, regulators, and academics, leverage BMLL's offerings to drive increased flow to traders, backtest and launch new products, and generate alpha more predictably.
Key customers and partnerships
BMLL Technologies has entered several partnerships to strengthen its product capabilities. In September 2023, the company partnered with Exegy, a global market data solutions provider, through which BMLL Technologies expects to expand its reach by integrating its Level 3 historical data with Exegy's trading infrastructure, offering traders enhanced capabilities for back-testing and alpha generation.
In February 2024, the company partnered with digital asset data and index provider CCData, to enhance its digital asset offering. In June 2024, the company also partnered with INQDATA, a cloud-based data solutions provider. Through the partnership, BMLL intends to provide customers with accessibility to quantitative and market microstructure analysis and enhance their understanding of trading behaviors.
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