Market & Alt Data Insight Blogs The latest content from across the platform
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…
BMLL Adds Kalshi Data as Prediction Markets Move Deeper into Institutional Workflows
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…
Rethinking Market Data Distribution for a New Generation of Markets
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….
Do Private Markets Have a Data Interoperability Problem?
Private markets generate large quantities of data around investors, funds and transactions. Yet much of that information still moves between asset managers, wealth platforms, custodians, administrators and other participants through PDFs, portals and other document-based processes. Information that already exists digitally can be embedded in a document, sent to another organisation, extracted and then entered…
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…
Databento and the Consumerisation of Market Data
Institutional market data has long been associated with complex licensing, specialist infrastructure and lengthy procurement processes. Much of that complexity is unavoidable: exchange data can be technically demanding, commercially restricted and costly to distribute at scale. However, the expectation around how that data should be accessed is changing. As financial firms become more accustomed to…
15 Software and Data Vendors Solving Valuation, Integration and Reporting in Alternative Investments
The secular shift towards private markets has transformed alternative asset allocations from an institutional tactical sleeve into a core portfolio driver. Yet behind this expansion lies a stubborn operational bottleneck: alternative asset data remains inherently unstructured, fragmented and delayed. Unlike public equities, where standardised data feeds integrate seamlessly into order management systems, private market data…
Bridgewise and the Expanding Universe of Sentiment Data
Investment firms today face a growing challenge with alternative data: how to turn an ever-expanding universe of unstructured content into something that can be analysed systematically. Social media, news articles, disclosure documents and, increasingly, podcasts can all contain information relevant to investment decisions. But before that material can be useful to quantitative or discretionary investors,…