AI-native equity research and consulting.
RevenueChaser runs a research engine for US equities. Nightly Claude agents monitor markets and event pipelines, build and backtest models, and tune them from measurements set down in advance. We turn what they find into research for clients.
What we research
Earnings events
Every upcoming earnings event is scored against explicit rules plus a veto layer. Each threshold lives in one registry, so every score traces back to the rule that produced it.
Biotech catalysts
Event pipelines that move single names, followed alongside the filings and options data around them.
Sector rotation
Sectors and themes on a rotation map (RRG style), showing which groups are gaining or losing relative strength.
Fundamentals and options
Trailing financials, growth screens and ownership read from SEC filings, next to implied probability views and positioning levels from option chains.
How the research engine works
- Collect. Scheduled jobs pull licensed market data and public SEC filings into one store, and extract citation-backed facts from long filings.
- Hypothesise and measure. Each research question gets its decision rule written down before anything is measured. Agents then build and backtest models on real market data.
- Tune. Rule thresholds change only on measured outcomes, and every change is tested before it ships.
- Deliver. Findings become research reports and dashboards, reviewed by a person before they reach a client.
Built on Claude
Claude agents do the nightly research work: reading filings, running analyses and model experiments, and drafting reports. A human reviews every client deliverable, and AI-assisted research is labeled as such.
Work with us
We are an early-stage practice based in the Netherlands and take on research engagements by request. Write to hello@revenuechaser.app.