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Risk-Tier Performance · The Questions

Tier usage as a diagnostic.

Tiers

T1–T7

T5 and above

EARNED

T7

RARE

Layer 01 — Earned, not available

T5 and above is acceleration that was earned.

The benchmark's own interpretation sheet states the position directly: the dynamic ladder is preferred because it preserves defensive contraction while permitting controlled acceleration, the upper-middle tiers are earned rather than default, and the top of the ladder is exceptional. A live system reaching the higher tiers substantially more often than the model does is over-aggressive unless the frequency is justified by structural confirmation, and the justification has to exist before the trades, not after the results.

Layer 02 — Per-tier expectancy

High tiers must out-earn their risk, per trade, on record.

The sharpest question in the set is whether trades placed in the upper tiers actually produced better per-trade R than the middle of the ladder. Elevated deployment that earns ordinary outcomes is uncompensated risk wearing a confidence costume, and the account total will never reveal it, because a larger position on an average trade produces a larger number without producing a better one. Only the per-tier breakdown separates the two.

  • Riding higher tiers too aggressively stays visible here even while headline returns look good.
  • Bigger swings without proportionally better outcomes is the definition of the ladder being climbed for nothing.
  • Tier-conditional R is the row that decides whether acceleration was earned or merely taken.

How MARS uses this

Every diagnostic question on this page — too much time in high tiers? are high-tier trades earning their risk? — is asked against this ladder: the modeled dwell profile the gate history implies. The questions have answers only because the expectation is drawn first.

How it benefits you

Aggression drift becomes measurable before it becomes expensive. Over-dwelling in high tiers shows as a gap against the model - a pattern on a ladder rather than an oversized loss - and chronic under-deployment surfaces just as clearly as unmonetized, already-earned authority.

T75%T616%T538%T471%T392%T287%T183%bar = tier authority · fill = modeled expected dwell given the gate historyhigh tiers exist to be rare — heavy T5–T7 dwell is aggression drift, not ambition

The expectation the questions are asked against: modeled tier dwell, T1 through T7, given the gate history.

Layer 03 — Under-deployment counts

Authorised tiers left idle is modelled expectancy left on the table.

The diagnostic runs in both directions, which is unusual for a risk instrument and deliberate here. Persistently deploying below what the gate authorises is not free caution. It converts a modelled edge into a smaller realised one while carrying the same operational cost, and over a full horizon that gap compounds in the same way the losses it was avoiding would have. Timidity is a finding, and it gets written down as one.

Layer 04 — Compression, verified

Is the ladder actually contracting when the gate says so?

The last question in the set is whether tier compression during defensive gates is genuinely happening or whether override use is quietly flattening the ladder. This is the failure that looks like nothing from the outside: gate state moves correctly, the panel displays the correct cap, and deployment never actually falls because each individual override felt reasonable at the time. The override stress table exists to make that pattern countable.

Reference

The tier tables, and the question each one settles

TableWhat it reportsThe question it answers
Tier usageT1 to T7 usage by month, quarter, and yearIs the allocator in appropriate middle tiers, overusing high tiers, or trapped low?
Tier deploymentTier by gate and tier after cycle conditionalsIs risk being deployed in the correct zones for the gates that occurred?
Gate deploymentExpected tier, pool, per-trade risk, and intensity by gateDoes live gate-based deployment match the simulated allocator?
Override stressHow often full-tier override would exceed the authorised poolIs override becoming a habit rather than an exception?
Throttle efficiencyR per deployed pool, exposure efficiency, value-add bandIs the throttle adding value or restricting for nothing?
Smart exposureCarryover, active burden, remaining capacity, compression frequencyIs open risk compressing fresh deployment as designed?

In practice

GREEN ≥ +0.25RYELLOWREDROLLING EVW1W2W3W4W5W6W7W8W9W10W11W12

Weekly EV tagged GREEN / YELLOW / RED against expectancy thresholds, with the rolling-EV line separating persistent edge from one lucky week.

The governing idea

Connected inside MARS

This module doesn't work alone.

Go deeper

Operator briefs on this territory.

Every module ships in the complete MARS package.

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