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...
The questions have become perennial: build versus buy, cloud versus on-premise, in-house versus managed platform. But the discussion that emerged from a recent A-Team Group webinar on quantitative research infrastructure pointed to something more interesting than a binary choice. The build-versus-buy question, panellists agreed, has matured into a more sophisticated conversation about where firms locate...
Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.
After initial hesitancy, interest in digital assets from institutional market participants has grown over the past three to four years. Early focus inevitably centred on the market opportunities presented by bitcoin and other cryptocurrencies. But this has evolved into a broad acceptance of a potentially meaningful role for digital assets in institutional markets. It’s now...