Every number on this site comes from a documented, repeatable system. This page covers the full stack — from raw data ingestion to final valuation output.
Financial statements are sourced directly from SEC EDGAR 10-K and 10-Q filings, parsed from structured XBRL/iXBRL data. Market prices, volume, and enterprise value are computed from institutional-grade exchange feeds with end-of-day processing. The pipeline normalizes 180+ financial line items to a standardized schema, resolves cross-year comparability, and runs automated anomaly detection at ingestion.
Open Screener200+ metrics are pre-computed across every covered equity each trading day — accounting ratios (P/E, EV/EBITDA, P/FCF), derived quality scores (Piotroski F-Score, Magic Formula rank), and proprietary pattern grades. Price consolidation patterns are detected from price and volume series using geometric validation: contraction depth, contraction count, volume dry-up, and pivot proximity each contribute to a quality grade (A+ to D). No subjective interpretation.
Open ScreenerTechnical indicators are computed natively from the price history database on each request. This includes simple and exponential moving averages (10/21/50/150/200-day), RSI-14, ATR-14, 52-week Beta, and the proprietary RS Rating — a percentile rank of 12-month price performance weighted toward the most recent quarter. Five programmatic verdicts (Trend, RSI, Breakout Setup, Volume, Relative Strength) are derived from deterministic decision trees with no ambiguity.
See ExampleHow we compute intrinsic fair value for 700+ eligible US equities. Covers eligibility gates, FCF normalization, CAPM-based WACC, Gordon Growth terminal value, Bear / Base / Bull scenario construction, and output sanity bounds.
Read full methodologyHow we construct peer universes, weight multiples, run 10,000-path Monte Carlo simulations, apply quality adjustments, and produce a composite signal score. Sixteen analytical frameworks, cross-sectional regression, and cyclicality detection.
Read full methodologyHow we generate proprietary Revenue, EPS, Operating Income, Net Income, and FCF forecasts for 3,700+ equities. Covers CAGR blending, margin mean-reversion, sell-side consensus integration, confidence scoring, and Bear / Base / Bull scenario derivation.
Read full methodologyDocumentation is updated whenever a model or system changes. Version numbers appear at the top of each full-doc page.