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WEBINAR

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...

BLOG

BMLL and SIGMA AI Partner to Benchmark Live Market Flow Against Historical Order Book Data

BMLL and SIGMA AI have announced a partnership combining BMLL’s historical Level 3, 2 and 1 order book data with SIGMA’s “Quant in the Cloud” streaming platform, producing an analytics layer that scores live market flow against historical benchmarks. The stated use cases are real-time anomaly detection, market regime classification and execution benchmarking, with anticipated...

EVENT

Data Management Summit New York City

Now in its 16th year, Data Management Summit (DMS) NYC returns on September 17th 2026, to explore how to use data and AI to drive measurable business outcomes – reliably, repeatedly and at scale.

GUIDE

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...