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    ADVANCED: COURSE 3 | LESSON 4

    The trading business plan

    Learning objectives

    1. Draft a complete trading business plan covering mandate, strategies, risk framework, operations, finances and review governance

    2. Set capital, return and drawdown expectations that survive contact with arithmetic — including realistic income math for small accounts

    3. Define the plan's amendment rules so it constrains the tilted version of you without fossilising

    Trading without a plan is a hobby with a P&L

    Every serious enterprise runs on a written plan — not because paper makes money, but because writing forces decisions to be made once, in advance, in the calm — and everything this level has taught converges here. The bias catalogue (A2.1) showed that in-the-moment decisions are made by the least reliable version of you; the routines and protocols (A1.5, A2.2, A2.4) each solved a slice of that problem. The business plan is the umbrella document that contains them all, plus the parts nobody teaches: money, operations and governance.

    A trading business plan is typically 4–8 pages. Below is the full structure; the capstone (A3.5) will have you write yours.

    Section by section

    1. Mandate and objectives. What you trade (instruments, sessions — from your A1.5 routine), the time you can actually give it per week, and your objective stated in process-first terms: e.g. "execute my two strategies at ≥90% plan-adherence, targeting a positive expectancy over rolling 100-trade samples, with maximum drawdown never exceeding 15%." Note what is absent: a monthly income promise. Returns are an output of edge, variance and size; only risk is directly controllable, so objectives are written on risk and process.

    A dose of arithmetic belongs in this section, because it sets the emotional contract. Suppose your verified expectancy is +0.3R per trade at 1% risk, 12 trades a month — expected value ≈ +3.6% a month before variance, which will routinely deliver −5% months anyway (A2.4). On a $5,000 account that is ~$180/month expected: real, worth compounding, and nowhere near a salary. Writing this down in advance is what prevents the account-killing behaviour of needing the market to pay rent — the plan should state explicitly that living costs are not a dependency of trading income until the account and track record reach defined thresholds.

    2. Strategies. One subsection per strategy, each with: the edge hypothesis in one sentence (why this makes money — whose mistake or flow are you being paid for?); the full setup/entry/exit/management rules (from P3); the evidence — backtest and forward-test statistics with sample sizes (A3.1, A2.3); the regime map — conditions where it thrives and where it goes dormant (A2.4); and its cost model — spread, slippage, swap budget per trade (A3.2–A3.3). A strategy without all five parts is an idea, not an asset.

    3. Risk framework. The load-bearing section, all numbers explicit: risk per trade (e.g. 1% standard, 0.5% for the newer strategy); maximum daily loss (e.g. −3R → flat, platform closed); weekly stop (e.g. −6R → review before resuming); maximum concurrent risk and per-currency exposure caps (correlated AUD/USD + NZD/USD longs are one position and a half, not two — P2.5); the drawdown protocol staging table from A2.4 with its restart conditions; and event policy (which calendar events you are flat for, from A1.5). This section, agreed with yourself in writing, is the "risk desk" of your one-person fund — and it outranks you intraday. That sentence should appear verbatim in your plan.

    4. Operations. The routines as scheduled commitments: weekly bias sheet, daily brief/debrief, Friday review, monthly metrics meeting (A1.5, A2.2, A2.3) — with their time budgets. Infrastructure: platform, VPS if EAs run (A3.1), data/charting stack, journal tooling, backup access (second device, broker phone line) and an incident playbook: what you do, position by position, when the platform dies mid-trade. Brokerage details: account type and why (raw-spread vs standard arithmetic from A3.2), leverage setting, negative-balance protection status.

    5. Finances. Trading capital and — stated bluntly — its loss tolerance: money whose total loss changes nothing about your life, or the enterprise fails A2.4's red-line test before it starts. Segregation from living money. The compounding-versus-withdrawal policy (e.g. compound fully until 2× starting capital, then withdraw 25% of quarterly profits above high-water mark). Cost budget: data, VPS, tools — measured against realistic expected profit, which for small accounts often reveals that a $60/month tool stack needs a +14% year on $5,000 just to pay for itself. Taxes: a note to determine your local treatment and keep records — jurisdiction-specific and outside this course's scope, but inside the plan's.

    6. Growth and scaling. The rules for size changes, both directions: e.g. scale risk per trade upward only at new equity highs and ≥100 trades at current size with positive expectancy (A2.3's sample-size discipline); scale down per the drawdown protocol. Adding a new strategy requires the full Section-2 evidence dossier on demo first. Nothing scales because of a feeling.

    7. Governance: review and amendment. The plan's own change-control: metrics reviewed monthly, plan re-ratified quarterly. Amendments are written, dated, justified with data, and take effect the following week — never intraday, never during an open trade, never inside a Stage-2+ drawdown (the moments when the rewrite urge is strongest are precisely when the current rules are doing their job). Keep every superseded version; the diff history of your plan is a record of your development as a trader.

    The test of a good plan

    Hand your plan to a stranger with these questions: Could they execute your week from it? Does every number in it have a reason attached? Does it say what happens when things go wrong — not just when they go right? And could the worst version of you, at 2am in a drawdown, find a loophole in it? Close the loopholes now. The plan is not a promise to be perfect; it is an architecture that makes your inevitable imperfection survivable — which, by this point in the course, you can recognise as the whole design philosophy of professional trading.

    The capstone assembles this plan, your strategy evidence, and your review system into a single dossier — and has you run it live on demo.

    Key takeaways

    1. The plan's seven sections — mandate, strategies, risk framework, operations, finances, scaling, governance — turn every earlier lesson's protocol into one binding document

    2. Objectives are written on risk and process, never on monthly income; expected return is an output, and the arithmetic (expectancy × trades × risk) belongs in the plan to anchor expectations

    3. Every strategy entry needs five parts: edge hypothesis, rules, evidence with sample sizes, regime map, and cost model

    4. The risk framework outranks you intraday: per-trade, daily, weekly limits, exposure caps and the drawdown staging table are decided once, in the calm

    5. Amendments are data-justified, written, and effective next week — never intraday, never mid-drawdown; the version history is your development record

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