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 Texas Stock Exchange (TXSE) has selected Exegy to provide FPGA-based market data feed handlers as part of its launch infrastructure. TXSE is positioning itself as the first fully integrated U.S. equities exchange built from scratch in more than 25 years. As part of that ground-up approach, the venue has opted to deploy FPGA technology...
Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.
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...
