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Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research
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...
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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...
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TradingTech Summit New York
Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.
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AI in Capital Markets Handbook 2026
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...


