Qualytics

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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The Performance Gap: How Data and Automation Are Separating Fixed Income Winners and Laggards

By Eugene Grinberg, Co-Founder and CEO, SOLVE. For decades, fixed-income markets rewarded opacity. Firms with the right relationships, proprietary data, or pricing advantages could generate outsized returns on a small number of well-timed trades. That model is breaking down. Fee compression, regulatory transparency requirements, and an explosion in available data have changed the basis of...

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AI in Data Management Summit New York City

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!

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...