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Data & Methodology

Transparent data sourcing from SEC EDGAR and industry-standard calculations.

Data Sources

All financial data is derived from SEC EDGAR filings (10-K, 10-Q, 8-K). We do not use estimated or projected data for fundamental metrics.

Data TypeSourceFiling
Income StatementSEC EDGAR10-K (Annual), 10-Q (Quarterly)
Balance SheetSEC EDGAR10-K, 10-Q
Cash Flow StatementSEC EDGAR10-K, 10-Q
Price & VolumeMarket ExchangesReal-time / EOD
DividendsCompany Filings8-K, Press Releases

Update Frequency

SEC filings processed within 24 hours. Price and technicals refreshed daily.

Quarterly Financials

Within 24 hours of SEC filing

Annual Financials

Within 24 hours of 10-K filing

Stock Prices

Daily (end of day)

Technical Indicators

Daily recalculation

Screening Metrics

Daily refresh

Calculation Methodologies

All metrics use standard, published formulas from renowned investors.

Piotroski F-Score

9-point quality scoring system based on Joseph Piotroski's academic research

  • Profitability (4 pts): ROA+, OCF+, ROA improving, Accruals
  • Leverage (3 pts): Debt↓, Liquidity↑, No dilution
  • Efficiency (2 pts): Gross margin↑, Asset turnover↑

Graham Net-Net (NCAV)

Deep value formula for stocks trading below liquidation value

NCAV = Current Assets − Total Liabilities
  • NCAV per Share = NCAV ÷ Shares Outstanding
  • Buy when Price < 67% of NCAV

Owner Earnings (Buffett)

Warren Buffett's preferred measure of true earnings power

Owner Earnings = Net Income + D&A − CapEx
  • Cash owners can extract without harming business
  • More conservative than reported earnings

Relative Strength Rating

Momentum ranking (0-99) based on price performance

  • Weighted 3, 6, 9, 12 month returns
  • Ranked against all stocks
  • 90+ = Top 10%

Intrinsic Value (DCF)

Discounted Cash Flow with three scenarios

  • Base: 10% discount, historical growth
  • Bear: 12% discount, growth÷2
  • Bull: 8% discount, growth×1.5

Quality Assurance

  • Automated validation on all SEC data
  • Cross-referencing between financial statements
  • Anomaly detection for outlier values
  • Daily metric reconciliation
  • Version history for all data

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