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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…
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…
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…
Recorded Webinar: The Data Foundation for Alpha – How fragmented data is eroding hedge fund performance
Alpha depends on more than models, talent and execution. It depends on the quality, consistency and timeliness of the data behind every investment decision. Many hedge funds still operate with fragmented datasets, inconsistent identifiers and manual reconciliation processes that slow research, distort signals and increase operational risk. As firms scale across strategies, regions and asset…
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…
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…
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…
When Correlation Breaks: Why Crowding, Not Macro, Is Testing Quant Models
In February 2025, Goldman Sachs told clients the US equity market had become a stock-picker’s market: 74% of the typical S&P 500 stock’s return was being driven by company-specific factors rather than macro forces, against a 20-year average of 58%, and the bank expected that micro-driven environment to persist. Within weeks, sweeping tariff announcements had…