Use Cases
01 — Forex strategy evaluation
Branch probabilities, EV decomposition, rolling stability, and outlier-robustness testing answer whether a strategy is worth deploying — before capital finds out the hard way. The Weekly Scorecard then keeps grading it live, week after week.
The core idea
How MARS uses this
MARS treats confluence as evidence quality: when independent structures - wave counts, higher-timeframe levels, volatility posture - converge on the same zone, the setup earns a higher evidence grade and access to fuller deployment. Isolated signals remain tradeable but are sized as the weaker evidence they are.
How it benefits you
Setup quality becomes a graded input instead of a binary feeling. Your best-evidenced trades systematically carry more of the risk budget, marginal trades stop consuming full-size authority, and 'A+ setup' finally has a definition that survives review.
Independent structures resolving to the same point. One wave is an opinion; agreement between unrelated structures is a signal.
Worked example
The exposure-pressure chain: authorized pool, minus live open risk, equals fresh capacity - resolved into one deployment directive.
02 — Adaptive risk scaling
The gate ladder, seven-tier model, and throttle authority give a profitable-but-inconsistent trader the one thing they're missing: sizing that responds to drawdown state instead of confidence. Deployment expands in Growth and compresses through Recovery, Buffer, and Floor automatically.
03 — EV & edge validation
03Weekly GREEN/YELLOW/RED tagging, branch EV, blended EV, and net-of-fees verification — for traders testing new strategies or validating that live performance still matches the model that justified deployment.
04 — Drawdown stress testing
Monte Carlo drawdown distributions define expected depth, frequency, and duration. Live drawdown reads against those bands and against gate state — separating normal variance from structural damage with numbers instead of nerves.
05 — Branch variant comparison
Standard versus Conservative versus Aggressive variants, attributed by count, Avg R, EV share, checkpoint hit rates, and net-of-fees results — through the seven-lens permission matrix that keeps aggression evidence-based.
06 — Monte Carlo survivability
Risk-of-ruin and lock-risk analysis across 50,000 paths answers the question a single backtest cannot: how often does following these exact rules still end at the System Lock boundary?
07 — Execution quality review
07MAE/MFE excursions, capture efficiency, giveback, fee R drag, and net outcome R grade the trade lifecycle itself. Profitable weeks with poor capture and heavy friction get flagged as low-quality alpha — because that's what they are.
08 — Live vs benchmark review
Live EV, drawdown, RAPF, RAER, and acceleration compared against benchmark expectations, with every deviation classified as favorable alpha, normal variance, execution drag, or governance failure. Emotional self-assessment, retired.
Inside this module
Connected inside MARS
Go deeper
Deep dive — 01
Built for traders with a model who lack structure. Not for traders looking for a model.
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Deep dive — 02
The edge is rarely the problem. The distance between having it and keeping it is.
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Deep dive — 03
Four questions that determine fit, and an honest account of the first ninety days.
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One price. Eleven workbooks, three TradingView indicators, and the full manual library — $497.
