Configuration guides
MARS Framework Playbooks
Fourteen comprehensive Word documents, each with a short configuration video — for V2 and the cloud edition, which are open to configuration end to end.
No extra spreadsheets. Each playbook is a multi-page Word document plus a short video that walks the configuration through on screen: what the framework is actually for, precisely what to set and where, which metrics tell you whether it is working, and how to configure and read the Monte Carlo Lab for it. They configure the rail you already own rather than sitting beside it — no second data surface, and nothing to reconcile.
The complete main group
Everything in MARS Framework Playbooks
What you receive
- All fourteen playbooks — a comprehensive multi-page Word document for each
- A short configuration video for every playbook
- Configuration instructions for V2 (Excel) and V3 (the cloud edition)
- The Monte Carlo Lab section in every playbook — what to configure, and how to read it
- A configuration checklist and one completed reference example per playbook
- Every future playbook added to the range at no additional cost
⚠ For V2 and V3 only. V2 and the cloud edition are open to configuration end to end, as is the Monte Carlo Lab — which is what makes a written playbook the right delivery format. V1 is hard-coded around one particular trading system and cannot be reconfigured this way, so these playbooks do not apply to it.
14 products · 3 groups
$1,246
$499
save 60% against buying separately
Notify me at launchTakes you to the free waitlist. Every product in this group is explained in full — what it does, who it is for, how to use it — in the newsletter as it is released.
Planned price
- $99
Configuration Playbook
Designing and configuring a tiered risk ladder — how many rungs, what each cap should be, and what moves an account between them.
- What it accomplishes: a tiered deployment ladder replacing one fixed percentage
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: tier dwell, cap utilization, and deployment distortion
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $99
Configuration Playbook
Growth, Recovery, Buffer, Floor, Deep-Floor, Ground-Floor, System Lock — where to set each threshold and what each state is allowed to authorize.
- What it accomplishes: a drawdown-responsive gate system with explicit authority per state
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: gate dwell, transition frequency, and compression pressure
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $79
Configuration Playbook
A risk envelope above position sizing: how to size the budget, how consumption is tracked, and what happens when it runs out mid-week.
- What it accomplishes: a hard weekly ceiling that position sizing alone cannot breach
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: budget consumption rate and mid-cycle exhaustion events
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $89
Configuration Playbook
Aggregate exposure, correlation adjustment, and remaining capacity — why four one-percent positions are not four percent of risk.
- What it accomplishes: correlation-aware open-book exposure accounting
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: peak concurrent risk and correlation-adjusted heat
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $99
Configuration Playbook
The foundational one. Step by step, which Monte Carlo parameters a scalper, a swing trader, and a position trader should each set — and the reasoning behind every choice.
- What it accomplishes: correctly parameterized simulations for your own trading style
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: whether your inputs describe your trading or someone else's
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $99
Configuration Playbook
Modelling compounding across trade frequency, win rate, payoff ratio, and risk model — and what the spread of paths actually means.
- What it accomplishes: a realistic growth envelope rather than a single projection
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: the gap between median and mean outcomes
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $99
Configuration Playbook
Drawdown distributions, depth and duration bands, and ruin probability under each risk setting you are considering.
- What it accomplishes: survival probability quantified before capital is committed
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: P95 drawdown depth and duration, and ruin probability
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $89
Configuration Playbook
The realistic probability of reaching a stated target in a stated time, and what has to change if the answer is unacceptable.
- What it accomplishes: an honest probability attached to a compounding goal
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: target-hit probability against required drawdown tolerance
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $99
Configuration Playbook
What a tiered or gated risk model does to the distribution that a fixed model produces — the case for governance, run rather than argued.
- What it accomplishes: a like-for-like comparison of fixed against governed risk
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: distribution shape, tail behaviour, and survival-adjusted return
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $99
Configuration Playbook
Turning a trade history into a defensible expectancy figure: what to log, how to segment it, and which conclusions the sample can actually support.
- What it accomplishes: an expectancy figure you can defend rather than hope for
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: conditional EV by branch, session, and regime
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $79
Configuration Playbook
Designing the split, enforcing the boundary, and interpreting two halves that disagree.
- What it accomplishes: a validation process that cannot quietly leak the answer
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: in-sample against out-of-sample divergence
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $79
Configuration Playbook
Whether the edge survives a small change to the settings — and what it means when it does not.
- What it accomplishes: robustness tested across a parameter grid, not one lucky setting
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: the width of the profitable plateau
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $69
Configuration Playbook
How much data your observed edge needs before it means anything — and how to configure the system to tell you when the sample is still too thin to act on.
- What it accomplishes: a stated confidence level attached to every expectancy figure
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: sample-size gates and the thin-sample warnings they trigger
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
- $69
Configuration Playbook
Reading the shape behind the average: R-multiple distribution, streak lengths, and how much of the result came from the tail.
- What it accomplishes: the distribution behind your average, not just the average
- A comprehensive multi-page Word document — not a summary sheet
- A short video walking through the configuration on-screen
- Exactly what to configure, every input in order — V2 (Excel) and V3 (cloud)
- What to watch in the output: streak length, tail contribution, and edge concentration
- How to configure and read the Monte Carlo Lab for this framework
- Configuration checklist plus one completed reference example
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Every price on this page is the planned price at launch. Nothing here is purchasable yet — no product ships until it is finished, and none of these carry a checkout.
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This group is still being built. MARS Pro is finished — eleven governed modules, $497, one time, with the V2 upgrade included.