Data Virtuality

Recorded Webinar: The Data Foundation for Alpha – How fragmented data is eroding hedge fund performance

Alpha depends on more than models, talent and execution. It depends on the quality, consistency and timeliness of the data behind every investment decision. Many hedge funds still operate with fragmented datasets, inconsistent identifiers and manual reconciliation processes that slow research, distort signals and increase operational risk. As firms scale across strategies, regions and asset...

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Where Should Trading Firms Spend Their Latency Budget?

The pursuit of lower latency in electronic trading hasn’t disappeared, but the engineering decisions behind it are becoming more selective. Rather than trying to make every component of the trading stack as fast as possible, firms need to determine where microseconds genuinely affect trading outcomes, where predictable performance matters more than absolute speed, and where...

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Buy AND Build: The Future of Capital Markets Technology

Buy AND Build: The Future of Capital Markets Technology London examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

Alternative Data in Capital Markets Handbook 2026

Alternative data adoption in capital markets has moved into a more disciplined phase. Simply possessing a dataset is no longer a differentiator – the priority now is how data is sourced, synthesised and deployed, and how quickly granular, disaggregated signals can be turned into validated, decision-ready insight. The 2026 edition of the Alternative Data in...