ADVANCED: COURSE 3 | LESSON 5
Capstone: your strategy dossier
Learning objectives
Assemble every component of the Professional level into a single, auditable strategy dossier: analysis framework, strategy specification, evidence, risk architecture and governance
Demonstrate the dossier in operation through a verified multi-week demo run with professional-grade journaling and review
Self-audit the finished dossier against the standard a serious allocator — or your own future self — would apply
What you are building, and why a dossier
Every profession has an artefact that separates practitioners from spectators: the architect's drawings, the pilot's completed type rating, the fund manager's due-diligence pack. Yours is the strategy dossier — a single document (typically 10–15 pages plus appendices) that could convince a sceptical professional that you know exactly what you trade, why it should work, what it costs, what can go wrong, and how you will behave when it does. Not that you will definitely make money — no honest document claims that — but that you operate a real process with real evidence and real controls.
The dossier is also selfishly practical. Six months from now, mid-drawdown, you will need to know whether the system is broken or the weather is bad (A2.4) — and only a written record of what you expected, evidenced at the time you expected it, can answer that. The dossier is a letter from the calm you to the tilted you.
This lesson specifies the dossier's five parts, then hands you to the demo task that brings it to life. Completing both earns the Professional certificate.
The five parts
Part 1 — Market framework (from Course A1). Your analytical worldview, stated operationally: the macro inputs you track and how they set bias (rate expectations, carry, risk regime — A1.1); your intermarket dashboard and its current live/broken correlations (A1.2); how you use liquidity logic and profile objects for location (A1.3–A1.4); and your weekly/daily routine as an actual timetable with time caps (A1.5). Include one completed, real bias sheet as an appendix exhibit. The test for this part: a reader should be able to predict what you would look at on any given Sunday.
Part 2 — Strategy specification (from P3 + A3.1). For each strategy (one is enough; two is plenty): the one-sentence edge hypothesis — whose mistake, flow or risk premium pays you; mechanical rules for setup, entry, stop, target, management, and the filters that keep you out (regime, session, news radius); and worked examples — two annotated historical trades, one winner one loser, screenshots in the appendix. If any part of the strategy is discretionary, say so explicitly and define the discretion's boundaries (e.g. "entry trigger is mechanical; the A1.4 location score ≥3 is judged from the marked-up chart").
Part 3 — Evidence file (from A3.1 + A2.3). Backtest results with full cost modelling (spread, commission, swap, slippage — A3.2/A3.3) and the honesty apparatus on display: in-sample/out-of-sample split, walk-forward if automated, the graveyard log of variants you tested and discarded. Forward-test results from demo. All statistics with sample sizes and the A2.3 panel: expectancy with confidence context, profit factor, max drawdown and duration, the R-histogram. State the expected operating envelope — losing-streak lengths and drawdown range (A2.4) — as numbers you are signing up to endure.
Part 4 — Risk and business architecture (from A3.4). The business plan's risk framework, drawdown staging table, event policy, finances and scaling rules — imported, not rewritten. Add the strategy-specific cost budget per trade in R and the execution notes (which hours/orders this strategy may use — A3.2).
Part 5 — Governance and review (from A2.2–A2.3). The grading rubric, the circuit breakers, the daily/weekly/monthly review calendar, the amendment rules. Close with the kill criteria: the pre-committed, written conditions under which the strategy is retired or benched — e.g. "expectancy over any rolling 150 A/B-grade trades below −0.05R" or "drawdown exceeding 1.5× the modelled envelope". Kill criteria are the dossier's most professional page: everyone has entry rules; professionals have exit rules for the system itself.
The standard to hit
Audit yourself with the allocator's questions before submitting: Is every claim either evidenced or labelled as assumption? Do the numbers reconcile (does Part 3's expectancy, at Part 4's risk settings, actually produce Part 1's stated objectives)? Could a stranger run week one from this document alone? Does the bad-weather behaviour — losing streaks, platform failure, drawdown stage 3 — have a written procedure? And the meta-test: is there any sentence a sceptic would laugh at? Delete promises; keep evidence. A dossier that says "modest edge, wide error bars, strong controls" is senior work; one that projects 15% monthly returns is a red flag to any professional reader — including, from now on, you.
Key takeaways
The dossier's five parts — framework, specification, evidence, risk architecture, governance — are the Professional level's lessons assembled into one auditable document
Every claim is evidenced or explicitly labelled an assumption; statistics carry sample sizes; costs are modelled, not waved at
The expected operating envelope (streaks, drawdown range) is written down before live trading, so future drawdowns are compared against a signed contract rather than a feeling
Kill criteria for the system itself are pre-committed in writing — the defining habit of professionals over enthusiasts
The demo run below is the dossier's proof of operation: verified execution, professional journaling, and a review cycle completed under real market conditions