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Alternative Data Grows Up: ADC London 2026 Turns to Operational Reality
For most of the past decade, alternative data conferences have asked the same underlying question in slightly different language: does this stuff actually produce alpha? The answer, settled some time ago for institutional buyers willing to do the work, has shifted the conversation. The questions on the agenda for the London edition of the Eagle…
When Everyone Has LLMs, Who do Quants Still Hire?
The democratisation of alternative data has been a recurring theme at industry conferences for several years. The arrival of capable large language models has accelerated it. Datasets that once required specialist teams to ingest and structure can now be parsed by anyone with a reasonable prompt; signals that once took weeks to extract can be…
The Case for Multimodal Macro: Toward a New Standard for Economic Measurement
Institutional investors still anchor macro trading decisions to government economic releases. But the data infrastructure behind those releases is eroding. For example, the US Bureau of Labor Statistics, which runs the surveys underpinning some of the most market-moving numbers in the world, has seen the response rate on its Job-openings and Labor Turnover (JOLTS survey)…
Synthetic Data’s Real Value Isn’t Alpha – It’s Confidence
The alternative data industry has largely settled the question of whether synthetic data has a place in institutional workflows. The harder question – and the one that dominated a lively panel discussion at the A-Team/Eagle Alpha Alternative Data Conference in New York – is where exactly that place is, and how far practitioners should trust…
Alt Data’s New Competitive Edge: From Discovery to Synthesis
Has the alternative data industry crossed a maturity threshold? The competitive advantage has migrated from simply having access to novel datasets to building superior frameworks for combining them, and AI is the engine driving that shift. But as a panel of senior practitioners made clear at the recent A-Team/Eagle Alpha Alternative Data Conference in New…
Why Good Data Still Doesn’t Get Licensed: What Breaks Trials and What Fixes Them
The alternative data industry has a conversion problem. Vendors offer trials expecting them to sell themselves. Buy-side firms accept trials with genuine intent but competing priorities. The result is a gap between a promising evaluation and a signed contract where deals routinely die, often for reasons that have nothing to do with the quality of…
Prediction Markets Push for Institutional Credibility as ARK Invest Signs on with Kalshi
Prediction market operator Kalshi has signed a collaboration with ARK Invest, the latest in a series of moves designed to position prediction market data as a legitimate input for institutional investment workflows. The partnership, announced in late March, will see ARK request and monitor event contracts on the Kalshi platform, evaluating whether the probability signals…
When AI Meets SEC Filings: Where LLMs Deliver, Where They Don’t, and Why the Plumbing Matters
Can LLMs reliably do what financial analysts do? Compare peers, track firms over time, and spot what’s changed? A panel at the recent A-Team Group/Eagle Alpha Alternative Data Conference New York explored the question, and new research from Goldman Sachs and Yale suggests the answer is more nuanced than the industry assumes. The panel session…
Bloomberg Transforms Real-Time News into Structured Data for Systematic Workflows
Bloomberg has enhanced its Real-Time News Feeds with new customisable, machine-readable delivery options designed for direct integration into automated trading and risk systems. While framed as a product expansion, the development reflects a broader structural shift: narrative news is increasingly being positioned as a structured, real-time data asset within systematic investment architectures. The new feeds…
Introducing Market & Alt Data Insight: Advancing the Industrialisation of Data in Financial Markets
Financial markets are entering a new phase in the evolution of data. Data has always underpinned trading and investment workflows. What has changed is the scale, diversity and strategic management of that data across the enterprise. Traditional market data, alternative signals, derived datasets and AI-generated features now sit on the same operational continuum. The strategic…