About DVRG
DVRG gives individual investors access to the same multi-signal analysis that institutional desks have used for decades — delivered in minutes, not days.
Our Mission
Wall Street has always had an information edge. Institutional research teams can cross-reference dark pool activity, insider filings, earnings revision trends, and macro signals simultaneously — and act before the public catches on.
DVRG was built to close that gap. By combining AI-driven analysis across 13+ data sources, we surface the divergences between what institutions are doing and what the public narrative says — so you can position ahead of the crowd, not after.
How It Works
Multi-Agent Research
Three specialized AI agents run in parallel — a Fundamentalist, a News Hound, and a Quant — each analyzing different signal layers simultaneously.
Signal Divergence Detection
Our manager agent cross-references 7 signals (news, earnings, analyst ratings, institutional flow, insider activity, dark pool, and technicals) to find where smart money diverges from public narrative.
Actionable Thesis
Results are synthesized into a structured investment thesis with a clear recommendation, structural valuation reference, price targets, and key risks — not just raw data.
Data Sources
DVRG pulls from public and regulatory sources including SEC 13F filings, FINRA ATS (dark pool) transparency data, OpenInsider insider transaction filings, earnings revision feeds, analyst consensus data, and real-time news sentiment. All data is processed through models purpose-built for financial signal extraction.