BMLL and Tradefeedr join forces
25 March 2026 UK, US
Image: pengzphoto/adobe.stock.com
BMLL, an independent provider of harmonised, historical Level 3, 2 and 1 data and analytics across global equity, ETFs, futures, and US equity options, has formed a partnership with Tradefeedr, a network for trading analytics and collaborative data sharing.
The partnership will support Tradefeedr’s expansion into equities and futures, powered by BMLL’s historical market datasets.
The partnership brings together BMLL's harmonised historical order book datasets across equities and futures with Tradefeedr's analytics APIs, common data layer, and connected community of more than 100 institutional clients.
Together, they will deliver enriched, standardised trading data through a single unified API — creating a foundational layer which intends to support innovation in execution analytics across the industry.
BMLL and Tradefeedr are inviting market participants to join a year-long pilot to help build and validate this AI-ready trading analytics capability.
Participants will work alongside both firms to define metrics, stress-test data quality, shape AI-ready context layers and provide feedback on benchmarks and reporting outputs — delivered through Tradefeedr's existing network and legal framework.
Paul Humphrey, CEO of BMLL, notes: “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.”
Balraj Bassi, CEOTradefeedr, adds: “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.
“We're inviting market participants to join this pilot to shape what comes next — building the analytics delivery stack for the AI era.”
The partnership will support Tradefeedr’s expansion into equities and futures, powered by BMLL’s historical market datasets.
The partnership brings together BMLL's harmonised historical order book datasets across equities and futures with Tradefeedr's analytics APIs, common data layer, and connected community of more than 100 institutional clients.
Together, they will deliver enriched, standardised trading data through a single unified API — creating a foundational layer which intends to support innovation in execution analytics across the industry.
BMLL and Tradefeedr are inviting market participants to join a year-long pilot to help build and validate this AI-ready trading analytics capability.
Participants will work alongside both firms to define metrics, stress-test data quality, shape AI-ready context layers and provide feedback on benchmarks and reporting outputs — delivered through Tradefeedr's existing network and legal framework.
Paul Humphrey, CEO of BMLL, notes: “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.”
Balraj Bassi, CEOTradefeedr, adds: “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.
“We're inviting market participants to join this pilot to shape what comes next — building the analytics delivery stack for the AI era.”
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