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...
Pyth Network has expanded rapidly from its roots in blockchain-based market data into a broader financial data platform, bringing together more than 138 institutional publishers and thousands of price feeds across equities, FX, commodities, crypto and other asset classes. Its ecosystem now includes names ranging from Coinbase and Fidelity to Kalshi, Revolut, Polymarket and Hyperliquid....
Now in its 16th year, the TradingTech Summit London brings together senior leadership across capital markets trading technology and market data. Join us to deep dive into key opportunities and challenges driving technological transformation across sell-side and buy-side firms.
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...