6,162+ US equities analyzed daily through 13 institutional-grade valuation models — processing over 80,106 valuations per run.
Three autonomous phases. Zero human intervention. Pure quantitative edge.
Every trading day, our engine ingests SEC EDGAR filings, market data, and FRED macro indicators for 6,162+ equities automatically.
Each stock runs through 13 independent models — Bayesian DCF, Monte Carlo, Markov Chains, ensemble meta-models — producing confidence-weighted fair values.
Access the live Google Sheets terminal. Sort, filter, compare across your portfolio. Spot mispricing before the market corrects.
Each model attacks valuation from a different angle — intrinsic, relative, scenario, and ensemble — giving you a 360° view of true value.
Projects free cash flow over a 10-year horizon using 10,000 Monte Carlo simulations with a deterministic seed for reproducibility. Each simu...
Implements Bruce Greenwald's complete three-part framework from Columbia Business School: (1) Reproduction Asset Value (RAV) — the cost to r...
Extends the classic Gordon Growth Model by modeling dividend growth as a Markov chain with discrete states representing growth regimes (high...
Computes net asset value by marking each balance sheet item to fair value using sector-specific recovery rates calibrated for stress scenari...
Implements the McKinsey & Company economic profit framework. Capitalizes R&D expenditure as an intangible asset (with industry-specific amor...
Machine learning-enhanced Residual Income Valuation that decomposes ROE into five DuPont components: net profit margin, asset turnover, fina...
Constructs three independent valuation scenarios — bull (expansion), base (steady state), and bear (recession/disruption) — each with its ow...
Probability-Weighted Expected Return Method using Merton's structural credit model, which treats equity as a European call option on the fir...
Identifies the current macroeconomic regime using six indicators: VIX level, yield curve slope, high-yield credit spread, GDP growth rate, u...
Sum-of-the-parts valuation using actual business segment data from EDGAR filings (revenue and operating income by segment), with each segmen...
The meta-model that combines all other model outputs into a single consensus fair value. Uses Correlation-Unbiased Certainty-Equivalent weig...
Financial Topology Neural Network that finds the most financially similar companies using a 6-dimensional Gaussian kernel similarity functio...
Regime-Conditioned Macro-Hedged DCF that runs four complete, independent DCF valuations in parallel — one for each macroeconomic regime (exp...
Every SEC-filing company on US exchanges, from mega-caps to micro-caps. Updated after every market close.
Our QOC engine evaluates profitability, growth consistency, balance sheet strength, and capital efficiency into one composite score.
Not every cheap stock is a bargain. Our Value Trap algorithm identifies stocks that look undervalued but carry hidden fundamental deterioration.
Not a static PDF. A live, auto-updating spreadsheet you can sort, filter, and connect to your own portfolio analysis.
Institutional-grade analysis at a fraction of Bloomberg Terminal cost.
First 100 only — lock in the lowest price forever
Also: $69/quarter · $125/6 months · $209/year
Full continuous access to the valuation engine
Also: $99/quarter · $179/6 months · $299/year
Join investors who use CirclFi's 13-model engine to find mispriced stocks before the market corrects.
Access the Terminal →