BMLL has launched a new partnership with trading analytics and collaborative data sharing specialist Tradefeedr aimed at creating a unified, AI-ready analytics layer for equities and futures trading, leveraging BMLL’s historical market datasets.

The initiative extends Tradefeedr’s pre- and post-trade execution analytics beyond FX into additional asset classes, using harmonised Level 1, 2 and 3 order book data from BMLL. Analytics will be delivered through Tradefeedr’s existing institutional client network, which includes over 100 participants.

Paul Humphrey, CEO of BMLL, said the collaboration addresses a long-standing challenge: fragmented market data across brokers and platforms. “Bringing harmonised historical datasets into Tradefeedr’s workflow enables more consistent benchmarking across futures and equities,” he said.

Tradefeedr CEO Balraj Bassi added that the pilot responds to growing demand for multi-asset execution analytics that are consistent, scalable and operationally ready for AI-driven applications. The firms are inviting market participants to join a year-long pilot to help define metrics, validate data quality, and shape benchmarks and reporting outputs.

The partnership is part of Tradefeedr’s involvement in the BMLL Activate: Data Credits Program, which allows participants to build and test new products on BMLL datasets with a path to long-term deployment.