Structural health: not whether the month was easy, but how well it was handled.

The composition

Three inputs, and the heaviest is discipline.

Structural health combines compliance at 60% weight, compression score at 30%, and a gate-improvement term worth the final 10%, scored to a hundred and floored at zero. Compliance dominating is the design's central claim: the strongest available evidence that a system handled a month well is that its rules were followed through it. Compression contributes because ending the month with capital freedom preserved is materially different from ending it deep in defensive gates. And the gate-improvement term rewards direction — a month that finished in a better gate position than it started carries evidence of genuine recovery rather than mere survival.

The bands

Excellent, stable, stressed, fragile.

The score reads against four thresholds: 80 to 100 is an excellent structural month, 60 to 80 is stable, 40 to 60 is stressed, and below 40 is fragile. The language is chosen carefully — these describe the system's condition, not its results. A stressed month can be profitable and an excellent month can lose money, because the score is measuring whether the machine operated as designed under whatever conditions it faced. The fragile band is the one that demands attention regardless of P&L: a system scoring below 40 has, by the composition, either broken its own rules substantially or ended the month with capital freedom largely gone, and usually both.

Why profit is excluded

The metric measures the process, because the process is what's controllable.

Excluding returns from a health score looks strange until you consider what including them would do. Profit is dominated by variance over any single month — the benchmark's own percentile bands establish how wide the honest range is — so a profit-weighted health score would rate identical process differently depending on luck, and would systematically reward the exact behavior the governance layer exists to prevent: over-risk that happened to pay. By grading compliance, capital position, and directional improvement instead, the score isolates what the operator actually controls and what the system's long-run survival actually depends on. Returns get measured elsewhere, thoroughly — EV, benchmark placement, capital dynamics. Health measures whether the machine is still the machine.

• A profitable month with poor compliance scores badly here, and should — it's the contaminated-evidence doctrine at monthly scale.
• A losing month with excellent adherence and preserved capital freedom scores well, and should — that's the system working.
• The score's independence from P&L is what lets it be read honestly during a drawdown, when P&L-linked metrics feel unbearable.

Pressure and health together

The pairing is the actual diagnostic.

Health earns its meaning against pressure, and the review should never read one without the other. The combination that matters most is high pressure with high health — a month that imposed real load and was navigated with rules intact and capital position defended. That reading is the strongest structural evidence the system produces, and it's worth recording explicitly, because it's the empirical answer to the question every governed trader eventually asks: does this actually hold when it's tested? The inverse pairing — low pressure with low health — is the quietest warning in the diagnostic layer, describing a system whose discipline is eroding without the excuse of difficulty.

The key idea

Grade the response, not the weather.

Pressure is imposed; health is earned. Splitting them lets the monthly review make a fair assessment — one that neither credits an easy month nor blames a hard one, and that puts the weight where the operator's actual agency lies. Sixty percent compliance is the system stating its values in arithmetic: over any month, the most important thing about how the machine performed is whether it was run the way it was designed to be run.