Actian is planning to release a bi-directional data connector between its Vectorwise analytical database and Hadoop. It allows unstructured data from Hadoop to be pulled into Vectorwise for fast analysis, and then pushed back into Hadoop, or other systems. The data connector will be available by year end.
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...
Trading Technologies has announced that it will support client execution on Kalshi, the largest US federally regulated prediction market, with trading expected to go live on the TT platform in the third quarter. It is the first regulated prediction market TT has connected to, and the firm frames it as the first of several regulated...
Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.
AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...
