A-Team Insight Author: peter
Prediction Markets Push for Institutional Credibility as ARK Invest Signs on with Kalshi
Prediction market operator Kalshi has signed a collaboration with ARK Invest, the latest in a series of moves designed to position prediction market data as a legitimate input for institutional investment workflows. The partnership, announced in late March, will see ARK request and monitor event contracts on the Kalshi platform, evaluating whether the probability signals...
Why SimCorp’s AI Alpha Paper with Axyon AI is Really a Platform Play
SimCorp and Axyon AI have jointly published a white paper examining whether AI-generated stock-ranking signals, when combined with institutional-grade portfolio optimisation, can deliver consistent active returns. The research, From AI Signals to Active Returns: A Portfolio Manager’s Guide to Capturing Consistent Alpha, analyses a 10-year backtest period from 2015 to 2025 across US All Cap...
Data Management Summit London Sees Leaders Take on Critical Issues
A-Team Group’s 16th annual Data Management Summit London brought together data leaders from the world’s largest financial institutions to discuss the biggest data and technology issues and trends within their industry. Hundreds of delegates from all over the world gathered to hear the latest thoughts of practitioners in keynote addresses and panel discussions before breaking...
Bridging the Data Monetisation Gap
The strategic argument for treating market data as a product rather than a cost has arguably been won. What remains stubbornly unresolved is what comes next: measuring the return on data investments, breaking the hoarding cultures that prevent data from flowing across the enterprise, and building infrastructure robust enough to support AI at scale. Those...
The Case Against Ripping and Replacing: Why Capital Markets Firms Should Build Intelligence Into What They Already Have
By Neil Vernon, Chief Product Officer, Gresham. For years, capital markets firms have faced the same challenge: modernising sprawling, legacy data systems. Each attempt follows a familiar pattern – ambitious platform overhauls, eight-figure budgets, years of disruption – yet the old systems often remain in use long after the new ones are live. Replacing systems...
ExeQution Analytics Brings Hallucination-Resistant AI to the Trading Desk
On almost every institutional trading desk, there tends to be one person who really understands the data infrastructure, who knows the APIs, the schemas, the quirks of the analytics layers, and who spends a disproportionate amount of their time fielding ad hoc requests from colleagues who cannot access the data themselves. It is a bottleneck...
Private Market Pricing Data Moves Beyond Transparency to Public Equity Signal
The secondary market for private company shares has grown rapidly, but pricing infrastructure has lagged behind. For most market participants, the price of a name like OpenAI or SpaceX is still whatever number comes through on a broker’s phone call, a single data point with no composite context, no observable bid-offer spread, and no audit...
New Breakout Roundtable Session Stimulates Deep Topic Discussion at DMS London
A new feature of this year’s A-Team Group Data Management Summit London was the Champagne Roundtable sessions, in which delegates were able to gather in small, informal groups for guided discussion on a range of data and technology issues facing financial institutions. The fully attended session was well-received by participants, each of whom were invited...
Datactics Survey to Gauge Data Chiefs’ Pressure to Adopt AI Amid New Risks
The headlong rush to adopt artificial intelligence poses multiple risks to financial institutions that don’t take the necessary preparatory steps before implementation. One potential source is the increasing AI-savviness of company employees. As they become accustomed to using the technology on consumer devices and websites, there is a greater risk they’ll inadvertently leak or compromise...
Determinism is the New Speed: Why High Performance Trading Infrastructure is Being Redefined Around Provability
The definition of high performance in trading infrastructure is shifting. Raw speed, once the key benchmark, is increasingly being subsumed into a broader set of requirements around determinism, provability and architectural simplicity. For firms operating in fragmented, event-driven and increasingly automated markets, the competitive edge is no longer measured in nanoseconds alone, it lies in...