Vela Trading Technologies

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...

Find out more

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...

Read More

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...