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...
London Stock Exchange Group (LSEG) and Bank of America have agreed a multi-year strategic partnership centred on embedding governed, AI-ready data and analytics directly into the bank’s core workflows. Rather than a distribution agreement focused on access, the collaboration reflects a broader architectural shift: integrating unified, rights-cleared content, analytics and risk intelligence across advisory, trading,...
A-Team Group’s Digital Assets & Tokenisation Summit spotlights how global financial leaders are rapidly embracing programmable tokenised assets and DLT networks to achieve real-time, 24/7 peer-to-peer transactions.
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...