Risk-Tier Performance · The Questions
Tier usage as a diagnostic.
Layer 01 — The questions
Tier usage as a diagnostic.
Am I spending more time in high tiers than the model expects for my gate history? Are high-tier trades producing proportionally better outcomes, or just bigger swings? Is tier compression during defensive gates actually happening, or is override use quietly flattening the ladder?
- Riding higher tiers too aggressively is visible here even while returns look good.
- Under-using authorized tiers is also a finding: unnecessarily timid deployment leaves modeled edge unmonetized.
Layer 02 — Where it lives
Inside Risk-Tier Performance.
This page expands one card of the Risk-Tier Performance page into its own reference. For orientation, the module's own framing: The benchmark models expected usage and performance across T1–T7. Comparing live tier behavior against those bands reveals aggression drift, under-deployment, and whether higher tiers are actually converting their extra risk into extra return.
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.
The expectation the questions are asked against: modeled tier dwell, T1 through T7, given the gate history.
Layer 03 — Per-tier expectancy
High tiers must out-earn their risk, per trade, on record.
The sharpest question in the set is whether T5–T7 trades actually produced better per-trade R than the ladder's middle. Elevated deployment that earns ordinary outcomes is uncompensated risk wearing a confidence costume — and only the per-tier expectancy table, not the account total, can reveal it.
In practice
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.
Deep dive — 01
Which tiers actually earn their risk.
The ladder authorizes deployment. Attribution asks whether each rung's risk actually converts.
Read the full brief →
Deep dive — 02
Defensive gates are supposed to shrink deployment. Check that they did.
The ladder is a promise about behaviour. The tier-by-gate record is where the promise is audited.
Read the full brief →
Deep dive — 03
The system measures whether your discretion helps or costs.
Override alpha versus override damage — the one table whose subject is the person reading it.
Read the full brief →
Every module ships in the complete MARS package.
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