The ground on which market participants walk is shifting from a foundation of latency and performance concerns to a playing field where being proactive is their best asset, according to trading technology experts who spoke in a webinar hosted by Intelligent Trading Technology on June 1.
For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...
LTX has added agentic capabilities to its BondGPT application, allowing users to build AI agents that monitor trader-defined market conditions, generate alerts, create a trade ticket, select dealers, launch an RFQ, accept a price and execute. It extends an application that, when it launched in 2023, was designed to answer questions: a trader could interrogate...
Now in its 17th year, Data Management Summit (DMS) London returns In April 2027, to explore how to use data and AI to drive measurable business outcomes reliably, repeatedly and at scale.
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...