Quant Insight (Qi), the macro analytics provider for institutional investors, has rolled out the latest version of its AI-powered RETINA solution, which uses data science and analytics to process and macro and market information to identify key shifts in global financial markets.
The latest version offers added interactivity, with push notifications into Symphony or Slack, volatility alerts, and a performance table, summarising performance over the previous period.
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...
When the Bloomberg Commodity Index (BCOM) was launched in 1998, the architecture made sense for its time. Liquidity in commodity futures was concentrated in North American contracts denominated in US dollars, and the methodology was built accordingly. Twenty-eight years later the way global commodity markets operate and the way institutional investors want to access them...
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...