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STAGE 03 · First Officer · C06

Turning an Idea into Exact Rules

Strategy Design · Chapter C06.4

Risk-first learningIndependent practiceNo membership or sign-in required
Independent student audit copy. This revised Student Edition is still under instructor and learner review. The questions are formative only; formal grades and private answer keys are not available here.

First Officer · C06: Strategy Construction · About 30–35 minutes

Safety rule: A research idea is not proven profitable. Predefine the stop, costs and conditions that invalidate it.

Your mission today

By the end you can convert a market idea into a strategy document two independent readers can execute identically.

Before you start

Complete C05 and your Second Officer cash-risk worksheet. Have a demo or synthetic replay. Every number below is an imaginary teaching calculation.

1. The idea in plain words

A strategy is a recipe. 'Wait for a nice pullback' is like 'cook until ready'. Different people will act at different times. A usable rule names the timeframe, the specific completed observations, the exact order, the invalidation and the exception conditions. It is falsifiable: a reviewer can find when it fails.

If two readers cannot agree, it is not a finished rule

“The market looks strong” and “wait for a nice pullback” are descriptions, not execution logic. A finished rule should let two independent students annotate the same closed chart and make the same eligibility decision. To reach that standard, every variable needs a precise definition: which symbols and data source; which timestamps and timezone; what establishes an H4 trend; which H1 pullback is eligible; what constitutes an M15 trigger; how a valid stop is found; when a signal expires; and what prevents another entry. A model that leaves several of these decisions to discretion can still be studied, but the discretion must be explicitly labelled and separately audited.

Start with a small architecture rather than a forest of filters. Context → setup → trigger → size → manage → close → review is a useful sequence. Context establishes the set of market states under study. Setup identifies a local structure. Trigger determines the precise instant when an order becomes eligible. Size follows the stop distance and a predeclared cash-risk budget; it does not come from how confident the trader feels. Management and exit rules should be fixed independently of any one winning historical chart. The final review determines whether the learner executed the plan, not whether the market behaved politely.

Loading the C06.4 teaching illustration…

Visual C06.4.1 — From vague to precise. “Buy strong breakouts” means something different to everyone. A rule must name a market, an observable setup, a closed-candle trigger, an entry side, a stop, a target, a risk budget and explicit no-trade filters. The values shown are invented educational examples, not a tested strategy.

Simple check: Could someone else tell you exactly when the trade is permitted using your words alone? If not, the specification is not yet finished.

Frozen chronology: context, setup and triggerThe archival image is not included in this student edition.View the released teaching illustrations.{width=6.55in}

Figure C06.4A. A signal is not assigned to an earlier candle merely because the final pattern is obvious later. The sequence is illustrative.

2. Worked example: loss before gain

Imagine a $20 risk cap and a hypothetical instrument with $500 price risk per full lot. Before costs, allowable volume is $20÷$500 = 0.04 lots. If the broker requires at least 0.10 lot, that trade must be SKIPPED. A winning price movement after rejection does not make the oversized order acceptable.

C06.4 original lesson summary
Open the diagram for full-size detail on a mobile screen. All illustrated prices are synthetic unless explicitly sourced as historical market data.

Original Black Box Journey diagram; not a verified live strategy.

A minimal Flight Path rule sheet

The following is a draft teaching specification named Black Box Flight Path v0.1. It is deliberately not approved for live deployment.

FieldFrozen teaching rule
Market / signal clockOne selected broker symbol; M15 is the lowest signal bar; server timezone recorded
Directional contextH4 higher-high and higher-low sequence using a predeclared causal swing rule
SetupTwo to five completed H1 bars of counter-directional net movement; H4 invalidation not breached
TriggerMost recently closed M15 candle closes above previous three completed M15 highs for a long (reverse for short)
EntryEarliest available next-bar executable Ask for long / Bid for short; no retroactive signal-bar entry
StopBeyond the observed setup's structural invalidation by a fixed predeclared buffer; estimate adverse fill
TargetCandidate fixed +2R at executable exit price; net costs measured separately
CancellationInvalidation before entry, missing candle data, expired setup, spread above test threshold, incompatible risk or symbol lot constraints
Duplicate exposureAt most one active paper position per symbol under this teaching experiment
RecordingTimestamp, signal variables, stop, fill assumptions, fees, result, maximum adverse/favourable excursion, reason for no-trade

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Visual C06.4.2 — The same rule in numbers. This fictional gold example uses the next Ask 2530.4, a proposed Bid stop of 2526.8 and a proposed Bid target of 2537.6. Price risk = 3.6; gross price reward = 7.2 or 2R. At an illustrative contract of 100 ounces per lot, the planned stop-distance loss is $360 per lot before costs. With a $72 cash-risk budget the theoretical maximum is 0.20 lot before fees and slippage. The target is not promised.

Simple check: Read the entry and stop first, calculate the price distance, calculate the risk in cash, and only then ask whether the trade is permitted. Never calculate a lot size from excitement.

This rule sheet is a starting point. Important parameters such as the precise causal H4 swing detector, invalidation buffer, spread threshold, expiry window and permitted sessions still require explicit values and an independent test design before the rule could be fully automated. Do not silently fill those gaps by looking at future winners. An excellent student circles every missing definition, writes one frozen option and compares its effect with a deliberately simple baseline.

BLACK BOX JOURNEY · LESSON VISUAL WORKSHOP

See the concept, the decision and the mistake

3 original teaching figures for lesson C06.4. Read each panel in order and compare the chart, calculation or decision with the explanation above. Tap Expand for a full-size review. Diagrams and prices are classroom illustrations, not live market records or validated trading signals.

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3. Make the rule reproducible

Strategy card fields: instrument and account specification; allowed chart hours; directional context; setup recognition rule; entry quote side and trigger; structural stop; cash sizing and step; maximum total exposure; exit plan; cancellation and no-trade rules; what information was knowable at entry. Include at least one example each of TRADE, WAIT and SKIP.

Risk is calculated from the invalidation outward

Suppose the account's permitted educational cash-risk amount is $20, and a hypothetical long entry is 2400.0 with an adverse stop fill at 2395.0 on a symbol worth $100 per price unit per lot. Risk per 1 lot is $500 before fees. The unrounded amount is $20 / $500 = 0.04 lot. If the broker permits only 0.10-lot minimum positions, the rule does not permit a trade at that risk budget. The correct answer is “no trade,” not to enlarge the budget quietly or place a closer stop that changes the thesis. If 0.01-lot increments are permitted, 0.04 lot is only the theoretical maximum before additional transaction costs and adverse fill allowances. Such an allowance could require 0.03 lot or no trade.

Cash-risk formula for a simple linear contract:

[ \text{Planned cash risk} = \text{lot size} \times (\text{entry/stop price distance} \times \text{cash value per price unit per lot} + \text{estimated costs and slippage per lot}) ]

For currencies with a quote-currency conversion, inverse contracts or varying tick values, this simple expression is insufficient; use the actual broker's tick value, tick size, conversion and lot constraints. Margin is a separate requirement from loss exposure. Leverage can make a position affordable in margin terms while leaving its stop loss economically intolerable.

4. Count failures and skipped opportunities

Three tickets: eligible, loss, no-trade

Ticket A — Eligible paper candidate: H4 structural condition is known from closed data; H1 pullback qualifies; the M15 trigger closes; cash risk fits the permitted size after costs; a structural stop and objective exit are recorded. Mark as eligible, not winner, before revealing subsequent candles. Ticket B — A normal loss: every pre-entry rule was met, but the next movement reaches the stop. Record the true fill, R loss and any slippage; classify it as a rules-compliant outcome unless a separate execution violation occurred. Ticket C — No-trade: M15 gives a beautiful-looking candle, but H4 direction is transitional and H1 structure overlaps, or the minimum executable lot would exceed cash risk. The right outcome is flat. It is not a failure of courage.

Overlapping structure: a no-trade is a decisionThe archival image is not included in this student edition.View the released teaching illustrations.{width=6.55in}

Figure C06.4B. One can always narrate a direction after the fact. The predeclared regime test determines whether the student had permission to act at the time.

Separate a strategy failure from a process failure.

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Visual C06.4.3 — Three rule failures: (1) words like “looks strong” cannot be measured; (2) moving a stop on a historical chart after seeing the loss is hindsight editing; (3) a structurally valid setup can still fail a predefined spread, news or cash-risk filter. A proper no-trade is a correct decision.

Simple check: When a rule fails, don't repair its old results. Freeze a new version, write why the rule changed, and test with new unseen evidence.

A strategy can have negative expectancy even when flawlessly executed. A process can be poor even after an accidental profitable trade. The Academy's black-box review should report both axes independently: rule-compliance score and trade-outcome distribution. Otherwise students will learn to excuse rule-breaking whenever it pays once.

A complying loss remains in the study ledger. Never add a rule solely because one past losing trade was inconvenient.

5. Practise with the future hidden

Assignment: write a second-person operating manual

Create a two-page operating manual another student could follow with no conversation or interpretation from the author. Include all exact parameters, the data source and timezone, signal-bar completion, missing-data handling, eligible instruments, skip logic, order timing, structural stops, volume steps, cash-risk allowance, transaction-cost model, re-entry policy, overlapping-exposure treatment, and exit rules. Then produce three timestamped simulated tickets: one entry that later succeeds, one entry that fails, and one no-trade. For each, include a screenshot captured or recreated at the actual decision time and a separate screenshot after the outcome. Deliver a version number and change log; any rule change starts a new version and cannot rewrite prior test results.

Glossary: eligibility = all permissions satisfied before an order; execution ticket = precise planned entry, stop, size and exit; version freeze = rules fixed for a test period; process violation = deviation from the frozen rules; no-trade = deliberate ineligibility, not a missed obligation.

Common mistake

Rewriting an entry, stop or data window after seeing the outcome destroys the original test. Keep the first version and start a new, separately evaluated variant instead.

Plain-English glossary

  • Rule: A precise condition that different readers interpret the same way.
  • Falsifiable: Capable of being contradicted by an observation.
  • Trade ticket: Intended entry, volume and protective levels.
  • Risk cap: Maximum planned cash loss accepted by the strategy.
  • Version: An unchanged record of the tested rule set.

Try it yourself

Create a strategy card containing market, timeframes, entry, stop, exit and skip rules. Carry out the original independent exercise above in closed-bar replay. Record at least one rules-compliant loss and one rejected candidate.

PRACTISE · TEST YOUR UNDERSTANDING

Quick check

Select an answer or type your own for each question. Press Submit practice to review the five responses. This is a formative beta exercise, not a graded assessment.

0 / 5 answered

Question 1

At a $20 permitted risk, a $500 risk per lot implies what maximum size before costs?

Question 2

If a broker's minimum lot is 0.10 but permitted size is 0.04, what should the rule do?

Question 3

The same strategy decision is different for two students because “nice rejection” is undefined. Best remedy?

Question 4

A perfectly rules-compliant trade loses 1R. It is:

Question 5

Which is a legitimate reason to stay flat under a frozen model?

Answer all 5 questions to submit.

What you can now do

  • Convert a market idea into a strategy document two independent readers can execute identically.
  • State how the idea could fail and what it would cost.
  • Keep a reproducible, non-cherry-picked evidence log.

Next lesson

C06.5 · Chart Replay, Backtesting and Journaling.

Student clarity check

Could you explain the idea in your own words, reproduce the calculation and complete the exercise without seeing an instructor's answer? Does the diagram actually show the concept? Please record exact lesson codes and specific points of confusion for the independent Claude audit.