Reference Data Review’s editor Andrew Delaney was interviewed for a BBC World Service show that aired this morning. The focus is on high frequency trading from our Low Latency Summit event earlier this week, but Andrew talks about regulators, data management and risk from about 7 minutes 30 seconds…
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...
The conversation around trading technology has become more exacting over the past year. AI is moving into production environments. Data estates are being rationalised and rebuilt. Infrastructure decisions are increasingly shaped by resilience, transparency and regulatory pressure. Against that backdrop, A-Team Group’s TradingTech Summit London 2026 takes place at a time when firms are reassessing...
Now in its 9th year, the RegTech Summit in New York will bring together the RegTech ecosystem to explore how the North American capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.
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...
