Market & Alt Data Insight Historical, Fundamental & Index Data The latest content from across the platform
S&P Global Expands AI Data Strategy with Visible Alpha, Credit Ratings and Enhanced ChatIQ
S&P Global is extending its AI-enabled data delivery capabilities with the addition of Visible Alpha consensus estimates and credit ratings to its AI Data Portal, alongside expanded conversational AI functionality within Capital IQ Pro. The announcements reflect a broader strategy to make its financial datasets accessible through external AI applications and agents while embedding AI…
LSEG and NVIDIA Accelerate Historical Market Data Analysis from Hours to Seconds
LSEG has announced a collaboration with NVIDIA that enables financial institutions to analyse years of historical tick data in seconds rather than hours, using GPU-accelerated processing technology. The initiative is designed to support increasingly data-intensive quantitative research, trading analytics and AI applications, while maintaining the licensing and access controls governing institutional market data. The collaboration…
Are Prediction Markets Becoming Data Sources Before They Become Trading Venues?
Prediction markets have become increasingly visible in financial markets over the past two years, fuelled by rapid growth in platforms such as Kalshi and Polymarket and their prominence around elections, monetary policy and geopolitical events. For institutional investors, however, their most immediate value may lie less in trading the contracts themselves than in the stream…
Why Agentic AI Is Shifting Attention Back to the Data Layer
The rapid improvement of large language models is changing the way financial institutions approach agentic AI. Model capability remains important, alongside the practical challenges of connecting AI to the right data, providing sufficient context, embedding agents into investment workflows and controlling what they can access and do. These issues featured prominently during a panel discussion…
Can Alternative Data Close the Credit Risk Visibility Gap?
Credit risk has traditionally been monitored through a familiar collection of fundamentals, ratings and market prices. But as private and public credit markets become more interconnected, investors are looking across a much wider range of data for signs that a borrower – or an entire sector – may be running into trouble. That search for…
As AI Lowers the Bar for Alternative Data, Where Does the Edge Move Next?
Alternative data has spent much of the past decade moving from the margins of investment research towards the mainstream. Now, artificial intelligence is accelerating that process, making datasets easier to discover, evaluate, process and combine while allowing investment teams to tackle sources that would previously have required considerable engineering resources. But that creates a new…
State Street Launches PriceStats Superset for Daily Inflation Analysis
State Street has launched PriceStats Superset, a global dataset providing daily, item-level pricing data designed to give investors, policymakers and researchers earlier insight into the forces driving inflation. The dataset builds on State Street PriceStats, its high-frequency inflation measurement service, by providing access to the underlying item-level data used to construct its indices. Covering 27…
How QuantumStreet AI Tackles the Journey From Signal to Portfolio
AI is becoming increasingly sophisticated at identifying patterns and generating investment signals from disparate sources of financial and market data. But for systematic investors, those signals still have to be converted into something much more concrete: a portfolio that determines which assets to hold, in what proportions, and with what degree of conviction. Doing that…
Moving Up the Value Chain: 3AI on AI, Alternative Data and Investment Intelligence
Traditional financial and market information now sits alongside news, sentiment, analyst estimates and a growing universe of alternative datasets, creating an increasingly rich information environment for investment firms. But access to more data doesn’t necessarily translate into better investment decisions. Firms still have to establish which information has genuine predictive value, turn disparate datasets into…
Beyond the API: FactSet on Making Financial Data Ready for Agentic AI
The effectiveness of an AI agent ultimately depends on the quality, context and structure of the information it can access. For investment firms, that puts familiar challenges around data quality, provenance and integration firmly back on the agenda – while potentially changing what they expect from their data providers. “When you’re selling data, you’re not…