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...
Financial markets are entering a new phase in the evolution of data. Data has always underpinned trading and investment workflows. What has changed is the scale, diversity and strategic management of that data across the enterprise. Traditional market data, alternative signals, derived datasets and AI-generated features now sit on the same operational continuum. The strategic...
Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.
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...