Meanwhile, Tap is also building a feedhandler to Morningstar’s database of independent investment research. The development will enable Tap to provide access to Morningstar’s fund reference, operations, holdings, performance and other data covering stocks, mutual funds, variable annuities, closed-end funds, exchange-traded funds, separate accounts and college savings plans.
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...
For decades, the market-data ecosystem has been defined by reliance on a handful of dominant vendors. Their breadth, depth and entitlements frameworks became foundational to both the trading desk and the wider enterprise. But the requirements of the modern financial technology stack have shifted dramatically. Cloud-native development, agentic AI workflows, and a proliferation of analytics-driven...
Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.
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...
