
Stockvektor
Find quality businesses before the market does
Details
- Use Cases
- Financial PlanningInvesting
- Target Audience
- Investors
- Platforms
- Web
About Stockvektor
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.
Product Insights
Stockvektor is a web-based research tool that provides quality, valuation, and risk scoring for over 3,000 US companies. It leverages SEC filings and FRED data to provide institutional-grade metrics for financial planning and investing.
- Comprehensive quality scoring including Piotroski F-Score, Altman Z-Score, and Beneish M-Score.
- Access to insider trading activity and super-investor holdings without a signup wall.
- Integrated macro context from FRED and patent innovation data.
- Transparent scoring methodology and no cost for entry.
Ideal for: Individual investors who prioritize financial planning and value-based stock selection through deep quantitative metrics.
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