Cryptocurrency is all the rage in capital markets, but how does it differ from other asset classes, how will it be regulated and what are its challenges and opportunities for trading firms and exchanges?
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...
As data volumes surge and markets move toward 24/7 operation, LSEG is rebuilding the infrastructure that underpins its real-time data services – combining hyperscaler capabilities with private-cloud control to deliver scale, speed and resilience for the next generation of capital markets workflows. The forces reshaping real-time data The demands on real-time market data infrastructure are...
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...
