StockVektor is a stock research platform that scores over 3,000 US companies on financial quality, valuation, and risk. Instead of just showing you charts and prices, it ranks businesses on the metrics that actually predict long-term returns: ROIC, Piotroski F-Score, Altman Z-Score, Beneish M-Score, earnings yield, and accruals quality.
Every stock has a deep research page covering:
- Quality breakdown (Piotroski 9-point F-Score, Altman Z-Score, Beneish M-Score)
- Valuation context (EV/EBIT, earnings yield, P/E, price-to-book vs peers)
- Insider trading activity from SEC Form 4 filings, including cluster-buy detection
- Super-investor 13F holdings (Buffett, Pabrai, Klarman, and more)
- Dividend history and sustainability
- Patent and innovation data
- Macro context from FRED
Built for value investors and quality compounders who want institutional-grade data without the institutional price tag.
What makes it different:
Most stock sites show you what a stock did. StockVektor scores what kind of business it is. The ROIC rankings, insider cluster-buy signals, and quality screens are the kind of analysis that usually lives behind a $200/month paywall. Here it is free.
Data sources: SEC EDGAR (financials, Form 4 insider trades, 13F holdings) and FRED (macro). All scores are computed transparently. Methodology is documented and the design system is public at stockvektor.com/design.
Free to use. No signup wall on the data.
