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...
BMLL, the market data and analytics provider, has added historical prediction market data from Kalshi to its global market data platform, giving quantitative and systematic investment firms a standardised dataset for incorporating event probabilities into macro research, backtesting and trading models. Under the partnership announced today, Kalshi’s historical order book will be normalised into the...
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.
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...