A breakout swing is the executed trade — not the pattern — built around entering as price clears resistance on conviction volume and holding for a multi-day-to-multi-week directional move. Where the sibling nodes define the structures that produce a breakout (horizontal resistance, 52-week high, VCP, cup-and-handle, Darvas box) and the parent node summarizes the family, this node is the operational playbook: the candidate filter, the trigger, position sizing, the stop, in-trade management, the exit, and how to handle the failure that hits roughly half of all breakouts. The core tension is that the pattern is cheap to spot and the execution is where the entire edge lives — chasing, mis-sized stops, and ignoring the same-day reversal turn a statistically fine setup into a losing one.

The setup — candidate filter

A breakout swing worth taking is not "price crossed a line." Master swing traders stack pre-conditions so the cross is meaningful:

• A real base. A tight, multi-week consolidation (O'Neil/Minervini favor weeks-to-months), ideally with contracting volume and contracting range into the apex (Minervini's VCP "supply drying up"). A two-day ledge is not a base.
• Trend context. Best odds come from a Stage-2 uptrend: price above the rising 50-, 150-, and 200-day moving averages stacked in order, and within ~25% of the 52-week high but well above the 52-week low (Minervini's Trend Template). Breakouts in chop or downtrends fail far more often.
• A clean level. A well-defined resistance (prior swing high, 52-week high, round number, box top) that many participants can see.
• Liquidity. Enough average volume to absorb the position without slippage; thin names produce stop-hunt fakeouts.

The trigger

Two recognized entries, each with a documented trade-off:

• Breakout entry — buy as price closes through the level, classically with a buy-stop a tick above it. Captures the fastest moves; pays for it in slippage and a higher fakeout rate.
• Retest / throwback entry — wait for the pullback to the broken level (old resistance → new support) and enter when it holds. Lower-risk and a tighter stop; the cost is missing the breakouts that never look back. (Detailed in the Throwback / Retest sibling node.)

The non-negotiable filter on either is volume. The widely-taught retail threshold is a breakout-day volume spike of ≥ ~1.5× the recent (20-day) average (commonly cited; varies by source); the O'Neil/IBD/MarketSmith institutional standard is ≥ ~40–50% above the 50-day average on the breakout candle. A clean price break on weak volume is the single easiest setup to skip — O'Neil's "volume is the footprints of big money."

Risk, stop, and target

• Stop below the structure that invalidates the thesis: just under the broken level (after a retest), under the breakout candle's low, or 1–1.5× ATR beyond the level to adapt to volatility. Tighter bases (VCP final contraction) give tighter stops and therefore better reward:risk.
• Size off the stop, not the share count. Risk a fixed fraction of equity per trade — commonly 1–2% (Van Tharp position-sizing logic) — so a stop-out is survivable. Position size = (account risk $) ÷ (entry − stop).
• Target / reward:risk. Either a measured move (consolidation height projected from the breakout level) or a trailing exit. Most disciplined frameworks require ≥ 2:1 reward:risk to take the trade at all.

How it's used in practice — managing the open trade

The trade is won or lost after entry:

• The same-day / next-day reversal is the first test. If price pierces the level, prints a long upper shadow, and closes back inside the range (or below the breakout candle), the break has failed — many traders exit immediately rather than wait for the stop. Breakouts tied to a single headline that fade within the session deserve extra suspicion.
• Move to break-even after ~1R. Once price has advanced one multiple of the initial risk, raising the stop to entry removes downside while letting the trade breathe.
• Then trail, don't predict. Minervini's approach holds as long as the Stage-2 trend is intact, trailing under a fast moving average (e.g. 10- or 20-day EMA on a closing basis) rather than selling at an arbitrary price. A common hybrid: sell a portion at the first measured-move target, trail the remainder.
• Hold period spans days to several weeks (occasionally months if the trend persists) — long enough for the move, short enough to honor the trailing stop the moment it breaks.
• Don't chase. Buying a name already extended (O'Neil's rule of thumb: stay within ~5% of the pivot) is buying exhaustion; if you missed the entry, wait for the next base or the retest.

Standing & evidence

Breakout execution inherits the family's honest base rates and adds its own. False-breakout rates are widely estimated at ~50–70%, but the figure is highly conditional: one large open-range-breakout dataset (orbsetups.com, ~240k trades) found ~66% hit their stop on default settings, ranging ~55% on a 5-minute window to ~76% on a 30-minute window — so treat any single "X% of breakouts fail" number as folklore-grade, not a fixed constant. Bulkowski's measured pattern statistics are the most authoritative source on the underlying structures, and they cut against retail intuition in one important way: throwbacks/pullbacks tend to reduce subsequent performance. Bulkowski reports that ~97% of upward-breakout pattern types perform better when no throwback occurs (for double bottoms, ~45% average rise without a throwback vs ~35% with) — i.e., a clean break that does not return to the level often runs further than one that retests, which complicates the popular "wait for the retest" advice. (Note the cup-with-handle itself ranks well in Bulkowski's bull-market study — #3 of 39 with a ~5% break-even failure rate — so the caution is about retests, not about base quality.) The consistent finding across sources is that the edge is conditional: it lives in the filters (volume expansion, prior volatility contraction, favorable regime) and in the management (early failure exit, break-even stop, trailing), not in the bare crossing event. A pure breakout buyer with no filters tends to lose.

Strengths & limitations

• When it works: volume-confirmed breaks from tight, quality bases in trending sectors can produce the asymmetric multi-week winners that pay for many small losses — the signature of momentum/SEPA-style trading.
• The dominant failure mode: the fakeout — price pokes through, triggers buy-stops, reverses, and traps. Roughly half of breakouts do some version of this.
• The #1 misuse: chasing an extended move. Entering 15–30% above the pivot converts a momentum setup into a top-buy.
• Regime dependence: reliable in bull markets and rising sectors; a death trap in choppy/bear tape and on thin volume. Confirm the market and sector regime before sizing up (see Market Context & Regime Filters).

System relevance

This node is the execution layer; pattern definitions live in Technical Analysis → Chart Patterns, and the specific breakout structures live in the sibling leaf nodes — cross-link, don't duplicate. When Augustus scores a breakout swing it should gate sequentially on: (1) base quality + Stage-2 trend context; (2) a volume confirmation (≥ ~1.5× 20-day, or ≥ ~40% above 50-day for the institutional standard); (3) entry discipline — within ~5% of pivot or on an active retest, flag "avoid chasing" if extended; (4) a stop that gives ≥2:1 reward:risk; (5) a same-day-reversal check that downgrades any break closing back inside its range. Hold/trail mechanics (break-even at 1R, trail under a fast EMA) belong to trade management, not entry scoring.

Sources

• Mark Minervini, Trade Like a Stock Market Wizard / Think & Trade Like a Champion — VCP, Trend Template, trailing-stop and hold-period logic (via financialtechwiz, traderlion, daytrading.com summaries)
• William O'Neil (CANSLIM/IBD/MarketSmith) — pivot/5% entry discipline, 40–50%-above-50-day volume standard
• Thomas Bulkowski, thepatternsite.com (cup.html, throwbacks.html) / Encyclopedia of Chart Patterns — measured base rates: cup-with-handle ranked #3 of 39 with ~5% break-even failure rate; throwbacks/pullbacks reduce performance (~97% of upward-breakout pattern types do better without a throwback) (authoritative statistical source)
• Van Tharp, Trade Your Way to Financial Freedom — 1–2% risk-based position sizing
• StockCharts ChartSchool — breakout mechanics, volume confirmation
• orbsetups.com false-breakout study (~240k open-range-breakout trades) — ~66% stop-out rate, varying ~55–76% by timeframe (illustrates that false-breakout rate is conditional, not fixed)
• Disputes flagged: precise 50–70% false-breakout rates are folklore-grade (vary by study/market/timeframe); the "wait for the retest" rule is in tension with Bulkowski's finding that throwbacks reduce performance — treat retest entry as a risk/return trade-off, not a free edge.