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BMLL and SIGMA AI Partner to Benchmark Live Market Flow Against Historical Order Book Data
BMLL and SIGMA AI have announced a partnership combining BMLL’s historical Level 3, 2 and 1 order book data with SIGMA’s “Quant in the Cloud” streaming platform, producing an analytics layer that scores live market flow against historical benchmarks. The stated use cases are real-time anomaly detection, market regime classification and execution benchmarking, with anticipated…
S&P Global Launches Adaptive Retrieval as Agentic Workflows Reshape Data Access
S&P Global has launched Adaptive Retrieval, a service allowing customer AI agents and large language models to access and assemble licensed S&P Global data through natural language queries. It sits alongside the existing Deterministic Retrieval method, and both are now offered through a single interface, the S&P Global AI Data Portal. Deterministic Retrieval, built on…
The Performance Gap: How Data and Automation Are Separating Fixed Income Winners and Laggards
By Eugene Grinberg, Co-Founder and CEO, SOLVE. For decades, fixed-income markets rewarded opacity. Firms with the right relationships, proprietary data, or pricing advantages could generate outsized returns on a small number of well-timed trades. That model is breaking down. Fee compression, regulatory transparency requirements, and an explosion in available data have changed the basis of…
LSEG Integrates Financial Data with Model ML via MCP Connector
The London Stock Exchange Group (LSEG) has announced that its licensed data and analytics are now available on Model ML. This integration is facilitated by a Model Context Protocol (MCP) connector, providing secure access to AI-ready financial content directly within financial services workflows. Model ML operates as an AI workflow automation platform specifically designed for…
Selling the Proof, Not the Data
For most of the past decade, a vendor specialising in natural-language processing (NLP) could sell a hedge fund something it could not easily make for itself. Sentiment scored from news, filings and earnings calls, provided as a clean feed, mapped to individual stocks and timestamped for point-in-time use. The work of pulling that signal out…
Kalshi and the Search for an Orthogonal Signal
Prediction markets have spent the past two years moving from the margins of financial markets towards something institutional desks are willing to take seriously. Kalshi, the CFTC-regulated event-contract venue, has been at the centre of that shift, and its ambitions now extend well beyond providing a place to trade. Over an eight-week period the firm…
S&P Global Moves Kensho to the Front of Market Intelligence in Agentic Reorganisation
S&P Global has restructured its Market Intelligence division into two verticals, elevating Kensho from an embedded AI engine to a named, client-facing layer and confirming the direction the business set out earlier this year. The reorganisation, announced on 6 July, folds data delivery, platform capabilities and client engagement into a single AI-led structure and moves…
BMLL and Exponential Decode US Equity Flow from the Order Book
BMLL and Exponential Technology have partnered to launch XTech US Equity Flow, a product that decodes full-depth US equity order-book data into net buying and selling attributed by investor type. Announced on 2 July, it breaks flow down into high-frequency, fund and retail activity across US equity venues, turning raw microstructure data into something the…
A-Team Group Announces Capital Markets Technology APAC Awards 2026 Winners and Launches ‘State of the Market’ Report
A-Team Group today announced the highly anticipated winners of the Capital Markets Technology APAC Awards 2026. These prestigious awards celebrate the most innovative solution providers and financial institutions that are reshaping the capital markets technology landscape across the dynamic Asia Pacific region. In conjunction with the awards, A-Team Group has also launched the “State of…
What Changes When 40 Years of Factor Analysis Takes Minutes?
What limits a research team when a piece of factor analysis that once consumed a morning of a quant’s time collapses into a single prompt and an answer? A recent collaboration between Axioma by SimCorp and the AI firm EDS brings the issue into focus. The answer it points to is no longer the cost…