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Montex Alpha Rail System
$497

Use Case 07 — Execution Quality Review

Clean profits or lucky ones?

The review

Grading the path, not just the outcome.

Two identical weekly P&L numbers can hide opposite realities:

  • Capture efficiency shows how much of the offered move was actually kept.
  • Giveback and MAE pressure show what was surrendered and what was risked to get it.
  • Fee R drag and net outcome R show what friction took before the profit was real.

Why it matters

Low-quality alpha decays first.

Profit built on poor capture and heavy friction is the first thing variance takes back — it was never structural. Flagging it early means repair happens while the account is still green, not after the luck normalizes.

Modules involved

The quality stack.

The MAE/MFE Execution Efficiency Lab runs the formulas and branch-aware judgment, CP3's Journal supplies the excursion data, and Execution Efficiency Diagnostics roll the reads into structural review.

How MARS uses this

Before any fresh trade, MARS subtracts summed live stop-distance from the gate-authorized pool and converts the remainder into a concrete directive: how many trades, at what per-trade risk. The arithmetic runs while the operator is calm; under pressure the panel is obeyed, not renegotiated.

How it benefits you

You never size the next trade as if the open ones don't exist - the most common leak in discretionary risk. Open exposure visibly consumes capacity, break-even positions stop masquerading as free, and the account never quietly stacks past its authorized posture.

AUTHORIZED POOL29.0%gate-set cycle risk−ACTIVE OPEN RISK11.0%live stop distance, summed=REMAINING18.0%fresh-trade capacity→DIRECTIVE3×@ 6% eachEXPOSURE PRESSURE11.0 / 29.0 = 37.9%OPEN RISK CONSUMES FRESH CAPACITY

The exposure-pressure chain: authorized pool, minus live open risk, equals fresh capacity - resolved into one deployment directive.

Doctrine

Worked example

Four scenario profiles judged side by side: expectancy, adverse-tail cost, and a verdict. Changes graduate through this grid or not at all.

BASELINE

LIVE
EV +0.31RP10 DD −14.8%

current governing profile

TIGHTER STOPS

REJECTED
EV +0.24RP10 DD −11.2%

EV cost exceeds drawdown saving

TNP WEIGHT +10

SANDBOX
EV +0.36RP10 DD −19.6%

edge up, adverse tail deepens

FEE MODEL B

CANDIDATE
EV +0.33RP10 DD −14.9%

friction saving survives resampling

Connected inside MARS

This module doesn't work alone.

Connected — 01

All eight use cases

Open system page →

Connected — 02

MAE/MFE Efficiency Lab

Open system page →

Connected — 03

Execution Efficiency Diagnostics

Open system page →

Go deeper

Operator briefs on this territory.

Deep dive — 01

Execution grades arrive too late to change the trade they describe.

The review can only ever change the next trade. Plan the review around that.

Read the full brief →

Deep dive — 02

Capture and giveback: grading the exit against what the trade offered.

MFE is what the market offered. Outcome is what you kept. The gap has a name, and it compounds.

Read the full brief →

Deep dive — 03

Fees are recorded as a share of 1R, and the unit is the whole point.

A strategy paying 12% of 1R in friction is a different strategy from one paying 4%.

Read the full brief →

Every module ships in the complete MARS package.

One price. Eleven workbooks, three TradingView indicators, and the full manual library — $497.

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