BigDataForFinance.com’s sister community – Low-Latency.com – just conducted an insightful Q&A with Rich Brown, who leads machine readable news programs at Thomson Reuters. It’s a topic that spans both low latency and big data, and you can read it here.
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...
By Ian Salmon, Head of Product Marketing, Adaptive. Prediction markets have moved from the edges of the financial ecosystem into a space that increasingly resembles regulated market infrastructure. What began as a retail phenomenon around political events and sports outcomes has evolved into a sector attracting institutional capital, established exchanges and serious regulatory attention. The...
Now in its 17th year, Data Management Summit (DMS) NYC returns in September 2027, to explore how to use data and AI to drive measurable business outcomes - reliably, repeatedly and at scale.
Welcome to the inaugural edition of the A-Team Regulatory Data Handbook. We trust you’ll find this guide a useful addition to the resources at your disposal as you navigate the maze of emerging regulations that are making ever more strenuous reporting demands on financial institutions everywhere. In putting the Handbook together, our rationale has been...