Smart Open Exposure · Worked Example (29/11/18)

The 29 / 11 / 18 walk-through.

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.

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

The key idea

Worked example

The 29 / 11 / 18 walk-through.

Authorized cycle pool: 29%. Active open risk from two carryover trades: 11%. Remaining capacity: 18%. Exposure pressure: 37.9% — open trades consume meaningful room. Full-throughput test: 18% ÷ 4 = 4.5% per trade, which clears the 3% minimum viable threshold — so four fresh trades proceed at compressed 4.5% risk instead of the full tier average.

Had capacity been 10%, the smart suggestion drops to INT(10 ÷ 3) = 3 fresh trades — quality threshold preserved.
Smart Fresh PT Risk never exceeds the authorized tier per-trade average, even when capacity would allow it.
Total Active Risk After New Trades = 11% + fresh deployment — the final line every decision must reconcile.

Where it lives

Inside Smart Open Exposure.

Pulled from the Smart Open Exposure page so it can be linked, cited, and studied on its own. In the module's words: Many traders size the next trade as if no open risk exists. MARS refuses the fiction: if a stop hasn't reached break-even, that trade still burdens the account, and fresh deployment must resize around it.

Why these numbers

29 / 11 / 18 was chosen because it looks safe.

The example's pool and open-risk figures were picked so the naive read — 'plenty of room' — feels reasonable right up until the pressure ratio prints at 37.9%. That's the teaching design: the walkthrough demonstrates that comfortable-looking exposure and mathematically comfortable exposure diverge exactly when it matters.

Further illustration

Live risk-tier usage against benchmark expectation, T1 through T7.

Connected inside MARS

This module doesn't work alone.

Connected — 01

Smart Open Exposure (full page)

Open system page →

Connected — 02

The Accounting

Open system page →

Connected — 03

Why It Matters

Open system page →

Go deeper

Operator briefs on this territory.

Deep dive — 01

The worked example passes every test and has already spent a third of the budget.

Four trades, no warning, full throughput — and 38% of the budget was gone before the cycle started.

Read the full brief →

Deep dive — 02

Move open risk from eleven to eighteen and the cycle stops being the same kind of cycle.

Eleven percent open, four fresh trades. Eighteen percent open, and the count drops. Nothing else moved.

Read the full brief →

Deep dive — 03

Smart Capacity: sizing that respects what is already at risk.

The viability floor, the fresh-trade suggestion logic, and why Smart Capacity fails gracefully.

Read the full brief →

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