TradingTech Insight Artificial Intelligence (AI) The latest content from across the platform
Upcoming Webinar: Agentic AI in Capital Markets: Rethinking Infrastructure, Control and Deployment
Date: 9 December 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes As financial institutions move from AI experimentation to production deployment, they face growing challenges around infrastructure, data security, governance and operational control. AI agents are increasingly capable of supporting research, trading, risk management and other complex workflows. Integrating them…
How Agentic AI Is Reshaping Trading Desktop Interoperability
As banks and investment firms look to bring agentic AI into trading operations, the challenge is increasingly one of architecture: how to give AI access to the applications and context it needs while maintaining control over its actions. HERE, the financial desktop technology provider formerly known as OpenFin, recently held sessions with tier-one banks and…
B2BROKER Adds MCP Connectivity and Agentic Trading to B2TRADER Platform
B2BROKER has expanded the AI capabilities of its B2TRADER trading platform, introducing Model Context Protocol (MCP) connectivity and an integrated AI Chat interface to support account analysis and automated trading. The MCP integration allows traders to connect external AI agents, including Claude, ChatGPT and custom applications, to retrieve market data, review portfolios and issue natural-language…
Tradefeedr Brings AI-Powered Analytics to the Next Generation of TCA
Artificial intelligence is opening up new possibilities for transaction cost analysis (TCA), allowing traders and portfolio managers to interrogate execution data, explore trading performance and generate customised insights without relying on specialist quantitative or programming skills. But as AI becomes more deeply embedded in execution workflows, questions around analytical consistency, transparency and accountability are becoming…
Connecting Client Engagement to Commercial Outcomes: Singletrack’s AI-First Approach
Capital markets firms generate enormous volumes of information through their interactions with clients, yet much of that data remains fragmented across research, sales and trading, corporate access and investment banking. Bringing those activities together offers opportunities to improve client engagement, identify commercial opportunities and gain a clearer understanding of the value delivered by different parts…
Beeks and OmniPhi Target Institutional Agentic AI with Sovereign Infrastructure Partnership
Beeks Financial Cloud Group has partnered with Canadian fintech OmniPhi to develop a sovereign agentic AI platform for capital markets, combining privately hosted large language models with tools for automating trading-related workflows. The agreement includes a strategic investment by Beeks in OmniPhi and will see the companies target banks, brokers, asset managers and professional traders….
S&P Global Expands AI and Analytics Capabilities Across Private Markets
S&P Global has expanded the AI, valuation and analytics capabilities of its iLEVEL private markets platform, introducing new tools for portfolio monitoring, data management and investment workflows. The enhancements include a native iLEVEL Agent, AI-powered data ingestion and natural-language search, enabling investment teams to automate data-intensive processes and retrieve portfolio information more efficiently. An iLEVEL…
United Fintech on AI, Shared Infrastructure and the New Economics of Capital Markets Technology
AI-assisted coding may be making software easier to develop, but getting it into banks remains a complex and costly process. These challenges are also reshaping the economics of specialist fintech providers, many of which face difficulties securing investment and achieving the scale required to serve major banking clients. For United Fintech, the financial technology group…
Reimagining the Trading Desk: Integration, AI and the Future of the O/EMS
The architecture of the trading desk is evolving as financial institutions seek to simplify fragmented technology environments, extend their multi-asset capabilities and incorporate AI into trading workflows. While the convergence of order management systems (OMS) and execution management systems (EMS) has been a longstanding industry objective, the emphasis is increasingly shifting towards interoperability, shared data…
Symphony Advances AI-Powered Client Communications with Secure Agentic Workflows
Winner of Best AI Solution for Client Communications at the A-Team Group’s AI in Capital Markets Awards 2026, Symphony is extending its communications platform to support AI agents across institutional workflows and client-facing channels. Financial institutions are increasingly exploring how AI agents can improve client engagement and automate communications workflows, while maintaining the security, governance…







