Research
Alternative data in credit, one page at a time.
Mini white papers on how alternative data becomes credit-grade intelligence: the category thesis, our research standards, and the signals we are building for credit funds and corporate finance teams. Each is a one-page read with a downloadable PDF.
CATEGORY THESIS
Alt Data Is the Heartbeat of the U.S. Credit System
The equity earnings-trading chapter is maturing. The category’s future is economic necessity: real-time telemetry of borrower health in a credit market that files nothing.
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METHODOLOGY
Causation Before Backtests: Why Strong Alt-Data Results Deserve Scrutiny
A strong backtest can reflect a dataset’s history as much as a signal’s power. Association is not a mechanism, and in alternative data the difference is expensive.
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CREDIT FUNDS
Seeing Credit Stress Before the Filings
Quarterly reports reach credit desks 45-90 days after the economics have moved. A signal library designed for credit from the ground up closes that gap.
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CORPORATE FINANCE
Your Counterparties Are Private. Your Risk Is Not.
Suppliers and customers rarely publish financials, yet their health decides your revenue continuity, working capital and supply chain. Alt data is often the only forward-looking lens.
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POSITIONING
The Model Is the Product, Not Just the Data
Turning raw panels into production-ready credit signals takes significant work. Rebelative is building the synthesis layer that does it inside one governed environment.
ReadRebelative is pre-launch. These papers describe planned methodology and product vision; they contain no performance claims.