Most valuation frameworks assume that equity markets price fundamentals. The structural question — whether a company's price reflects what it has actually produced operationally — rarely gets asked. It should be the first question. That structural risk is measurable. Seventeen years of data say so.
A structural risk scoring system for ~5,200 U.S. equities — updated weekly, grounded in 17 years of validated data.
Every stock price is a statement of belief. The multiple — P/E, EV/EBITDA, P/S, whatever applies — is the market's current price for a story about what a company will eventually produce.
Some of those stories are well-grounded. The company has already built most of what its valuation requires. Others depend entirely on the market continuing to believe something the company has not yet shown. The distance between those two conditions is not a matter of opinion. It is a structural fact — and it is measurable.
Most valuation frameworks don't ask how wide that distance is. They ask whether the story is plausible. That's a different question, and answering it well doesn't answer the structural one.
Seventeen years of data across ~5,200 U.S. equities show that the structural question has a consistent answer. Companies grounded in operational reality — those whose valuations reflect what they have actually produced — behave differently from companies whose valuations rest on narrative. Measurably, durably, across every market regime tested.
The Evidence
The most durable finding in the data is also the simplest. Companies that generate free cash flow outperform companies whose valuations rest on revenue alone by 37.3 percentage points in median annual returns — across 285,245 observations, held in every market regime tested. That spread is not a product of a particular period or a particular methodology. It is a structural fact about what operational cash generation is worth relative to the promise of it.
The second question any serious allocator asks about a new framework is whether it carries information beyond what established factors already explain. This one has been tested against the Fama-French five-factor model plus momentum — controlling for market, size, value, profitability, investment, and momentum simultaneously. After stripping all six factors, the long-short portfolio produces +20% annualized alpha. The t-statistic is 3.72. The factor model explains 3.48% of long-short return variance. The remaining 96.52% is orthogonal to the entire established factor set — meaning the signal is not explained by size, value, profitability, momentum, or any combination of them. This is not a repackaging of known signals.
The signal concentrates where it matters most. In the highest structural risk bucket, 39.6% of observations ended more than 25% below their starting price over a 12-month horizon. In the lowest risk bucket, that figure is 10.5%. Companies flagged as structurally fragile incur severe losses at approximately 2.5 times the rate of the broad universe — across expansion, neutral, and stress regimes alike.
What It Produces
The platform scores approximately 5,200 U.S. equities across two independently validated dimensions of structural risk — how far a company's valuation has stretched beyond what it has actually produced, and whether that production is improving or deteriorating. Used alone, either misleads. Together, they locate the same structural condition from two directions.
Every company in the universe receives an anchor rung — a designation of the deepest financial metric it has genuinely sustained over a trailing seven-year window. Free cash flow is the deepest. Revenue is the shallowest. The distance between where a company sits on that ladder and what its current valuation requires is the first dimension of structural risk.
The second is trajectory. A company moving toward deeper operational grounding is accumulating structural strength, whether or not the market has noticed. A company moving away from it is accumulating fragility, whether or not the price has moved.
The composite score ranks every company against the full universe on both dimensions simultaneously. The result is a live map of where structural risk is concentrated and where it isn't — updated weekly, across the full breadth of the U.S. equity market.
For a long time, the question was whether structural narrative risk — the distance between what a company has built and what its valuation requires — was systematically measurable at scale.
The answer required a framework that could evaluate the full U.S. equity universe on a common structural basis — not sector by sector, not qualitatively, but quantitatively, simultaneously, and updated continuously.
It does now.