Sigma Financial AI

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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The Case for Multimodal Macro: Toward a New Standard for Economic Measurement

Institutional investors still anchor macro trading decisions to government economic releases. But the data infrastructure behind those releases is eroding. For example, the US Bureau of Labor Statistics, which runs the surveys underpinning some of the most market-moving numbers in the world, has seen the response rate on its Job-openings and Labor Turnover (JOLTS survey)...

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AI in Capital Markets Summit London

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.

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...