Market & Alt Data Insight Blogs The latest content from across the platform
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…
Are Firms Hunting Alpha Outside While Deleting It at Home?
A trading firm will pay for 15 years of price history from a market data vendor and, on a parallel housekeeping schedule, purge its own order flow, client activity and system logs after five to seven. The vendor history is treated as an asset worth a recurring licence fee. The firm’s own data – generated…
Data Now Front and Centre of Fixed-Income Trading, Bloomberg Forum is Told
As the operations of buy-side traders and their sell-side counterparts increase in complexity, their data needs have surged. Technology that has made it possible to compress the work they do into shorter time scales and with more effective outcomes, requires large volumes of information that is either generated by their own systems or has to…
The Business Conduct Risk and Data Challenge Behind AI Adoption
Poor data preparation for artificial intelligence deployments is exposing financial institutions to greater business conduct risks that could cost them as much as US$43 million per year, according to new research. An updated report by business conduct data provider RepRisk found that such AI-related incidents are on the rise as applications are rolled out at…
Prediction Market Data: The Questions Institutional Buyers Still Cannot Answer
Are prediction markets arriving in institutional workflows faster than the industry has worked out what it is buying? The valuations are real. The distribution deals are real. The research interest is real. What is not settled is a set of questions sitting underneath the adoption story – and a closing fireside session at the recent…
MCPs in Data Management: Bringing New Order to Private Markets
Financial institutions have begun deploying Model Context Protocols (MCPs) as they have expanded the use of artificial intelligence applications and agents. The technology developed by Anthropic is an open-source contextual layer that helps coordinate models and data, enabling AI applications to connect with a multitude of other platforms and processes. In the first of a…
Direct Lending Practitioners Target Large Tech Budget Growth on Data
An overwhelming majority of private credit market practitioners are planning to substantially increase their technology budgets as they seek to address risks that are contributing to concerns about the direct lending sector. The Compass 2026 survey conducted for Oxane Partners – a technology provider for credit and other private markets – found that almost four-fifths…
Is the Real Value of Intraday Alternative Data in Risk, Not Alpha?
Intraday alternative data has long been the preserve of high-frequency and systematic desks, where speed provides an edge. But ask practitioners what decision it actually changes for a discretionary book, and the answer is rarely about generating a new trade, it is more about testing the one already on. Sizing, conviction and the risk sitting…









