Part XIII · Discipline · Chapter 13D

Worked examples: swing trades

Ten trades, reasoned end to end

Where we are

Chapters 13A to 13C built the tools: the haircut, the conviction score, and the pipeline with its loss budget and kill rules. This chapter runs them on ten swing trades, from the question each one poses to the lesson it leaves. Working through ten of them is how the pattern of disciplined reasoning becomes a habit.

What you need first

1 · How the examples are set out

Each example follows the same five steps: the question, the setup, the walkthrough, the conclusion and what it teaches. The results are given in R, the R-multiple of Chapter 11H: a trade's profit or loss divided by R, the loss planned at its stop, so a full stop-out is −1R. Where an example changes only some conviction factors, the others are those of the example it builds on.

Three of the examples trade single stocks, AAPL and NVDA, and score them with the conviction score as the Dealer Mechanics Lab's examples do. Chapter 13B gives single stocks their own companion test, the Real Value score, which a careful reader would run as well.

2 · One setup in two regimes

Worked example: Example 1: a Trend Pullback that worked

Step 1: the question. With SPX in a clear Stage 2, its RSI(2) reads 8 at Friday's close after a 1.2% pullback to the 21-day EMA, and the composite signal is +45. Should you take the trade?

Step 2: the score. With E=0.85E = 0.85, M=0.90M = 0.90, R=0.85R = 0.85, X=0.90X = 0.90 and S=0.90S = 0.90, the conviction score is C=0.527C = 0.527, high conviction, so take the trade at full size.

Step 3: the outcome. Monday opens slightly higher and you enter at 5,955, then exit on Wednesday at 6,040, a gain of 85 points, which is $850 per contract, or $10 a contract for each point.

Step 4: the lesson. When all five factors align, take the trade at the size its conviction implies.

Worked example: Example 2: a Trend Pullback that failed

Step 1: the question. The setup geometry is the same as Example 1's, but the composite is only +15.

Step 2: the score. With the regime factor down to R=0.55R = 0.55 and the other four factors as in Example 1, C=0.85×0.90×0.55×0.90×0.90=0.341C = 0.85 \times 0.90 \times 0.55 \times 0.90 \times 0.90 = 0.341: medium conviction, taken at reduced size.

Step 3: the outcome. SPX rallies briefly, then sells through Friday's low. The stop is hit at 5,920, for a loss of $3,500, 140% of the planned loss. Since the planned loss was therefore 3,500/1.4=$2,5003{,}500/1.4 = \$2{,}500, the exit came below the level the plan assumed, through the slippage and gap risk of Chapter 13C.

Step 4: the lesson. A lower R means a smaller size. The same setup geometry produces different outcomes in different regimes.

Chapter 11H is stricter than this example, since its Trend Pullback needs a composite of +30 or more. It names a pullback that fires between +10 and +30 as the setup's common failure, in which the price rolls over instead of bouncing. By its rules, this trade would not have been taken at all.

3 · A breakout taken and a breakout passed

Worked example: Example 3: a Compression Breakout taken correctly

Step 1: the question. SPY has consolidated in a 2.5% range for 9 sessions, with ADX falling to 15, the VIX at 13 and the composite at +60. It breaks above the range high on 145% of its average volume.

Step 2: the score. With E=0.75E = 0.75, M=0.85M = 0.85, R=0.90R = 0.90, X=0.95X = 0.95 and S=0.90S = 0.90, C=0.491C = 0.491, so take it. Just under 0.5, the score is formally medium conviction, which the figure of Chapter 13B sizes at 60% to 80% of full size.

Step 3: the outcome. SPY rallies to its target of 608 over 8 sessions, for a profit of $4,350, about 1.7R, so the planned risk was about 4,350/1.7=$2,5604{,}350/1.7 = \$2{,}560.

Step 4: the lesson. Range expansions in regimes of positive gamma exposure (GEX) carry a tailwind from dealer hedging (Chapter 11H).

Worked example: Example 4: a Compression Breakout that faked out

Step 1: the question. It is Example 3's SPY setup again, with the VIX at 19 and the composite at +5.

Step 2: the score. The regime factor falls to R=0.35R = 0.35, so C=0.75×0.85×0.35×0.95×0.90=0.191C = 0.75 \times 0.85 \times 0.35 \times 0.95 \times 0.90 = 0.191: insufficient, and you pass. Chapter 11H's rules agree, since its Compression Breakout needs a VIX below 18 and a composite of +30 or more.

Step 3: the outcome. SPY rallies briefly to 595, then fails back into its range on day 2. By day 7 it is at 572, 23 points or 3.9% below the failed breakout's high.

Step 4: the lesson. The trades you do not take are as important as the trades you do.

4 · A trade below the line

Worked example: Example 5: an Undercut and Reclaim that the score passes

Step 1: the question. AAPL undercuts its 200-day moving average, then reclaims it in a clean reversal during the day.

Step 2: the score. With E=0.65E = 0.65, M=0.80M = 0.80, R=0.75R = 0.75, X=0.85X = 0.85 and S=0.85S = 0.85, C=0.282C = 0.282, below 0.3: insufficient conviction, which by Chapter 13B means pass.

Step 3: what the trade did. The Dealer Mechanics Lab's version of this example calls the score "medium-low" and takes the trade at reduced size. AAPL then hits its time stop at 172, for a profit of $1,000, or 1R.

Step 4: the lesson. The Undercut and Reclaim setup has lower evidence than the Trend Pullback. Treat the framework's outputs literally: a smaller score means a smaller size, and below 0.3 it means no position. The $1,000 does not validate the entry, because a rule broken on a winning trade is still broken.

Familiar ground

Judging a decision by its outcome is outcome bias. A patient who does well after an off-protocol dose does not validate the deviation. A patient who relapses on the right regimen does not condemn it. Example 5 won by breaking the rule and Example 2 lost while following it. Across many trades, the rule is judged by its record, not by any single case, as a treatment is judged by its trial rather than its anecdotes.

5 · Confluence and the stop

Worked example: Example 6: IBS and RSI(2) together

Step 1: the question. QQQ closes near the day's low, with RSI(2) at 9, the trend in Stage 2 and the composite at +35. The day's high was $517.00, its low $513.00 and its close $513.50, so its internal bar strength is (513.50−513.00)/(517.00−513.00)=0.125(513.50 - 513.00)/(517.00 - 513.00) = 0.125.

Step 2: the score. C=0.413C = 0.413, so take the trade.

Step 3: the plan, with its R. Enter at $513.50, the close, and put the stop at $511.50, below the day's low of $513.00 with a noise buffer of $1.50. The buffer matters because IBS mean reversion fails most often on a gap that takes out the low during the day before turning. The initial risk is $2.00 a share, so a risk budget of $10,000 buys 5,000 shares.

Step 4: the outcome. QQQ gaps up the next morning and rallies to a high of $518.50. You exit at the close, $518.00, because the rule is a close above the prior day's high of $517.00. The realized profit and loss (P&L) is $22,500, which is (518.00−513.50)×5,000(518.00 - 513.50) \times 5{,}000, and the R-multiple is 4.50/2.00=2.254.50/2.00 = 2.25R.

Step 5: the lesson. Combining indicators that measure different features, IBS a single day and RSI(2) several, is genuine confluence. The narrow but realistic stop, wide enough to survive the morning's noise on a volatile index ETF, is what keeps the strategy alive over a sample of trades. A stop $0.20 below the low gives a much higher R on the winners. But it stops the strategy out of half the trades that would have worked, destroying the expectancy. Beware the fantasy that a narrow stop means a high R: a stop set inside the natural noise just turns winners into losers.

Example 6 carries three notes, the first about size: 5,000 shares at $513.50 is $2,567,500 of notional. If the $10,000 was 1% of the account, the account is $1 million, so the position is 2.6 times the account: leverage (Chapter 13C). A gap of 1% against it would cost $25,675, more than two and a half budgets.

Second, the Dealer Mechanics Lab is of two minds about the pair. Here and in Chapter 11H it calls IBS and RSI(2) genuine confluence. Chapters 11C and 11N warn that both measure how stretched the price is against its recent range, so counting them twice is multicollinearity.

Third, Chapter 11H's version of the setup takes profit at the first close above the entry day's high or at 1R, whichever comes first. The next morning's rally passed 1R, at $515.50, on its way to the high. That rule would therefore have closed the trade at 1R, about $10,000, or better if the gap opened above $515.50.

6 · Trading around events

Worked example: Example 7: a trade sized down for the FOMC

Step 1: the question. Two days before a meeting of the Federal Open Market Committee (FOMC), SPX shows a clean Trend Pullback, with the composite at +40.

Step 2: the score. The event's uncertainty lowers the regime factor to R=0.70R = 0.70 and sizing to S=0.75S = 0.75. With evidence, mechanism and execution as in Example 1, C=0.85×0.90×0.70×0.90×0.75=0.361C = 0.85 \times 0.90 \times 0.70 \times 0.90 \times 0.75 = 0.361, medium conviction, so take it at 50% of full size.

Step 3: the outcome. The FOMC leaves rates unchanged, and volatility is crushed after the announcement, an IV crush. The trade makes 0.5R on the full-size measure, which at half size is 0.5R×0.5=0.250.5\text{R} \times 0.5 = 0.25R.

Step 4: the lesson. Cutting size in a window of event risk protects against path-dependent downside while keeping the option on a favorable outcome. The FOMC overlay of Chapter 13F makes the halving a rule, from two days before the meeting to one day after it (Chapter 10G).

Worked example: Example 8: an earnings trade to skip

Step 1: the question. NVDA's momentum signal fires 5 days before its earnings report, with the options implying a move of ±9%, the expected move of Chapter 11A.

Step 2: the score. With E=0.55E = 0.55, M=0.65M = 0.65, R=0.80R = 0.80, X=0.85X = 0.85 and S=0.40S = 0.40, C=0.097C = 0.097: insufficient, so pass.

Step 3: the outcome. NVDA gaps 7% on the report.

Step 4: the lesson. A single-stock position held through an event week needs a defined-risk structure, not naked shares. The trades you skip are sometimes the trades that would have hurt you most.

A gap jumps over any stop, so a position held through the report takes the whole move, which is why sizing scores only 0.40 here. Chapter 11I's pre-earnings momentum trade exits before the report for the same reason. The earnings overlay of Chapter 13F requires closing a single-stock position before the report or converting it to a defined-risk spread. The spread is sized so that the implied move would cost no more than 2% of the portfolio.

The figure puts Example 6's QQQ position through an overnight gap. Drag the gap past the stop and the loss leaves the planned 1R behind. Then move the stop to $512.80, $0.20 below the day's low, and the same 1% gap costs more than 7R.

$511.50
1.00%
size: 5,000 shares, $2.57M
open after the gap: $508.37
shares lose $25,675 = 2.57R
spread loses at most $10,000 = 1R

The price opens $3.13 below the $511.50 stop, so the stop fills at the open. The shares lose $25,675, 2.57 times the $10,000 planned and 2.6% of a $1 million account.

A stop caps the loss only if the price trades at the stop. Example 6's position: QQQ bought at the $513.50 close with $10,000 at risk, sized as that budget divided by the distance to the stop. The rose line is the loss when the stop is hit after an overnight gap against the position, in units of R, the loss planned at the stop. The green line is a call debit spread that costs the same R, which is all it can lose whatever the gap. Tighten the stop and the position grows, so the same gap costs more R.

7 · Stops and correlated trades

Worked example: Example 9: the migrating stop

Step 1: the question. You are long SPY from 580, with a stop at 575, and the price has fallen to 576.50. Should you move the stop to 572?

Step 2: the conclusion. Keep the stop at 575, which triggers and fills at 574.20: a loss of $580, which at $5.80 a share means 100 shares. The migrated stop at 572 would fill at 570.50, a loss of $950. That is 950/580=1.64950/580 = 1.64 times the loss at the original stop: 64% more than the original plan.

Step 3: the lesson. Stops exist to terminate failed theses, not to be argued with. Once a stop is set, the only allowable change is to close the trade early, never to move the stop further away.

Chapter 11N treats stop migration as one of the recurring failures of swing trading, and Chapter 13A counts it among the behavioral leaks of an account.

Worked example: Example 10: sizing two correlated trades

Step 1: the question. Two correlated setups fire at once: a Trend Pullback on SPY and an Undercut and Reclaim on AAPL. Both pass conviction, so how should you size them?

Step 2: the conclusion. Use a portfolio-level loss budget, not two trades' budgets. The maximum simultaneous risk is 2% of the portfolio, $8,000, which puts the portfolio at $400,000. Give $5,000 of it to SPY and $3,000 to AAPL.

Step 3: the lesson. Correlated positions share risk. Sizing each trade as if it were independent builds more total exposure than the account can carry, because one market drop can stop both out on the same day. When correlated trades are open together, budget them as one.

The split puts $5,000, 1.25% of the account, on SPY, which is above Chapter 13C's default of 1% risk per trade. Held to that default, SPY would carry $4,000 and the pair $7,000. The two rules do not conflict: the portfolio budget caps the pair, while the per-trade budget caps each position inside it.

8 · What the ten examples teach

The same seven patterns recur across the examples:

  1. The same setup geometry in different regimes produces different outcomes (Examples 1 and 2, 3 and 4).
  2. The trades you skip are as informative as the trades you take (Examples 4, 5 and 8).
  3. Kill rules exist to override behavioral intuition (Example 9).
  4. Position sizing comes from explicit loss budgets, not from intuition (Examples 6 and 10).
  5. Single-stock event risk needs defined-risk structures, not naked equity exposure (Example 8).
  6. Correlation between positions matters even when the setups are nominally different (Example 10).
  7. The simpler setup often wins. The Trend Pullback has strong evidence, a clear mechanism and a sensitivity to regime. This least elaborate of the archetypes is often the most profitable.
Decision rule
  • Take the trade at the size its conviction implies: full size at 0.5 or more, reduced size from 0.3 to 0.5, and no position below 0.3, however clean the chart looks.
  • Halve new entries around scheduled events, and hold single stocks through earnings only in defined-risk structures.
  • Keep the stop where you set it, or close the trade early.
  • Budget correlated trades together, within the per-trade cap of each.
What to carry forward
  • The same setup scores and behaves differently as the regime changes: 0.527 at a composite of +45 and 0.341 at +15.
  • Below 0.3 the answer is to pass, which a trade that wins below 0.3 does not change.
  • A buffer below the day's low keeps a mean-reversion stop outside the noise, while a stop set inside the noise turns winners into losers.
  • Three habits follow: stops that move only to close a trade early, smaller or defined-risk positions around events, and one loss budget for correlated trades.

9 · Check yourself

Question 1

Example 2 keeps Example 1's factors except that RR falls to 0.55. What is CC, and why was the loss 140% of the plan?

Answer

C=0.85×0.90×0.55×0.90×0.90=0.341C = 0.85 \times 0.90 \times 0.55 \times 0.90 \times 0.90 = 0.341, medium conviction, so the trade was taken at reduced size. The planned loss was 3,500/1.4=$2,5003{,}500/1.4 = \$2{,}500. The exit came at 5,920, below the level the plan assumed, as SPX sold through Friday's low: a stop sets the planned loss, while the fill sets the real one.

Question 2

Example 5 scores 0.282 and wins 1R: should you have taken it?

Answer

No, because it is below Chapter 13B's floor of 0.3, so the rule says pass. The $1,000 profit is one outcome. Judging the rule by it is outcome bias: what matters is how trades below 0.3 do on average.

Question 3

In Example 6, why is the stop $1.50 below the day's low rather than $0.20, and what does the position risk if QQQ gaps down 1% overnight?

Answer

IBS mean reversion fails most often on a gap that takes out the low before turning, so a stop inside that noise stops out half the trades that would have worked. The position is 5,000 shares, $2,567,500 of notional, so a 1% gap against it costs about $25,675, more than two and a half times the $10,000 budget.

Question 4

Why does Example 10 size its two trades from one portfolio budget?

Answer

SPY and AAPL are correlated, so a single market drop can stop both out on the same day, and their risks add. A budget of 2% on $400,000 caps their combined loss at $8,000. Within it, Chapter 13C's cap of 1% per trade would hold SPY at $4,000.