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 definition of high performance in trading infrastructure is shifting. Raw speed, once the key benchmark, is increasingly being subsumed into a broader set of requirements around determinism, provability and architectural simplicity. For firms operating in fragmented, event-driven and increasingly automated markets, the competitive edge is no longer measured in nanoseconds alone, it lies in...
Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!
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...
