BMLL and Tradefeedr Partner to Develop AI-Ready Trading Analytics for Equities and Futures
BMLL has partnered with Tradefeedr to create an analytics layer for equities and futures trading data, responding to rising demand for AI-driven trading workflows. The collaboration will be tested in a year-long pilot involving market participants to define metrics and develop analytics frameworks. This partnership reflects a broader trend towards multi-asset analytics and aims to simplify data integration for automated trading systems.
Theia Market Signal Identification - AI Assisted
BMLL and Tradefeedr are collaborating to develop an analytics layer for equities and futures trading data. This initiative is in response to increased institutional use of automation and AI in trading workflows.
The partnership merges BMLL's historical market datasets with Tradefeedr's analytics APIs, expanding execution analytics beyond foreign exchange. A year-long pilot will involve market participants to define metrics, test data quality, and create AI-suited analytics frameworks. The collaboration aims to address the growing need for consistent performance measurement across various asset classes and enhance interoperability in financial technology.
Comments