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Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research
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...
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S&P Global QnA: Adaptive Retrieval Smooths Data Access and Use
S&P Global Market Intelligence launched Adaptive Retrieval last month, promising to give clients greater flexibility in accessing and using the ratings giant’s data via their large language models (LLMs) and agents. Complementing S&P Global’s existing Deterministic Retrieval tool, which is built on the Kensho LLM-ready API, the latest innovation enables users to query and make...
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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.
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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...



