A-Team Insight Author: Rollings Nicole
TT Connects to Kalshi as the Institutional Case for Event Contracts Takes Shape
Trading Technologies has announced that it will support client execution on Kalshi, the largest US federally regulated prediction market, with trading expected to go live on the TT platform in the third quarter. It is the first regulated prediction market TT has connected to, and the firm frames it as the first of several regulated...
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...
Data Challenge in Private Credit Highlighted by FSB and Experts
The Financial Stability Board’s (FSB) call for better data provisions within private credit has highlighted a gnawing pain in the side of the rapidly growing market. The global watchdog, which was formed after the global financial crisis to help ensure another recession didn’t happen, partly blamed the lack of visibility into the loans and assets...
The Race to the Trading Everything App
By Jon Light, Senior Director of Product Management at Devexperts. A major shake-up in retail trading venues is underway due to the expansion of crypto exchanges, neobanks, and zero-commission brokers into each other’s traditional territories. As the lines between these businesses continue to blur and users gain more access to a variety of assets and...
Closing the AI Gap: Why Financial Institutions Must Move Beyond Pilots to Enterprise-Scale Impact
By Ravi Sidhu, UK&I risk and compliance solutions at Dun & Bradstreet. AI enthusiasm across financial services is at an all-time high, but measurable enterprise-wide success remains elusive. While UK businesses are moving quickly in AI readiness, with 52 per cent already using third-party AI platforms or modern cloud-native infrastructure to deploy AI workloads at...
Agentic AI’s Data Quality Imperative: AI in Capital Markets Summit Review
Artificial intelligence agents are not only changing the way organisations deploy new technology, they are also throwing new challenges to data managers as the autonomous structures place new demands on their infrastructure. It’s not enough that AI needs good-quality data to generate and perform the most accurate and safest outputs; agents are also prompting a...
ICE Compass Sets AI Against Information Leakage in Fixed Income Trading
Earlier this month, ICE launched ICE Compass, an AI-driven pre-trade analytics platform that ranks dealers on the competitiveness of their pricing and estimates where a fixed income trade is likely to clear before the buy side signals any intention to transact. T. Rowe Price, which provided feedback through development and beta testing, has signed on...
ESAs’ DORA Incident Report Highlights New Supervisory Focus on ICT Evidence
The first annual Report on major ICT-related incidents under the European Union’s Digital Operational Resilience Act (DORA) signals the transition from implementation readiness to supervisory evidence. The European Supervisory Authorities (ESAs) – the European Banking Authority (EBA), European Insurance and Occupational Pensions Authority (EIOPA), and European Securities and Markets Authority (ESMA) – reported 3,383 major...
The Compliance Challenge Shaping AI Adoption in Fixed Income
By Kevin Rutter, CEO, AIQ Markets. AI is rapidly becoming part of the buy-side technology stack. But before a portfolio manager can act on a recommendation or a trader can execute an idea generated by AI, firms must answer a more fundamental question: can they trust it? As buy-side firms move from experimentation toward production...