BMLL and Tradefeedr have partnered to develop an AI-ready analytics layer for equities and futures trading data.
Paul Humphrey
The collaboration will support Tradefeedr’s expansion into equities and futures, powered by BMLL’s high-fidelity historical market datasets, extending the firm’s existing FX pre- and post-trade analytics offering into new asset classes.
Under the agreement, BMLL’s harmonised historical order book data spanning equities and futures will be integrated with Tradefeedr’s analytics APIs and common data layer.
Specifically, the combined offering will be delivered through a single API, providing clients with standardised datasets and analytics outputs via Tradefeedr’s existing distribution network.
Read more: BMLL and Features Analytics partner to launch surveillance benchmarking capability
Paul Humphrey, chief executive of BMLL, said: “Tradefeedr has built a strong distribution model for execution analytics but the sourcing of high quality market data has always been a challenge until now.
“This partnership brings BMLL’s harmonised historical order book datasets into that workflow to support more consistent benchmarking across futures and equities.”
The firms stated that the initiative is intended to provide a foundation for more scalable, cross-asset execution analytics, particularly as AI-driven tools are increasingly integrated into front-office processes across the industry.
Balraj Bassi, chief executive at Tradefeedr, added: “Clients want multi-asset execution analytics that are consistent, scalable and easy to operationalise. Access to harmonised historical order book datasets from BMLL gives us the foundation to expand our TCA coverage into equities and futures.”
As part of the rollout, the firms will launch a year-long pilot programme, delivered through Tradefeedr’s existing client network and legal framework, inviting market participants to help define metrics, validate data quality and shape analytics outputs.