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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…
Why Private Markets Need Numbers They Can Defend
By Gareth Hewitt, Founder, LemonEdge. Private markets run on confidence. Performance still matters but investor trust increasingly depends on whether a general partner (GP) can defend the numbers behind it and whether a limited partner (LP) has enough transparency to test and reconcile those numbers for itself. A capital account balance, valuation movement, fee calculation…
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…
SOLVE Extends Relative Value Analysis to Peer-Group Cohorts
SOLVE has launched cohort-based Relative Value Analysis, an extension of its pre-trade platform that lets institutional fixed income traders and portfolio managers measure a bond against a dynamically defined peer group rather than picking off comparisons one bond at a time. The release, announced this month, adds two analytical frameworks – bond versus cohort, and…
Institutions Are Already in Prediction Markets – As Data Consumers, Not Traders
The framing around institutional prediction markets assumes a gap that needs bridging: the markets exist, institutions are circling, and what stands between them is a stretch of missing infrastructure – clearing, margin, prime brokerage and surveillance. Build the scaffolding, the assumption runs, and the institutions follow. A panel at A-Team Group’s recent TradingTech Summit New…
How Much Hedge Fund Alpha Is Lost Before the Model Even Runs?
How often is a hedge fund’s apparent model failure actually a data failure in disguise? A model that stops working. A backtest that does not replicate. A risk number that needs explaining. How to tell one from the other – before reaching for the model first – was the recurring question of an hour-long discussion…