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Exit Logic for the 2nd-Candle Breakout: Does Moving the Stop Pay Off?

2026-06-05·11 min read·Timon Krüger

Data basis: DAX / FTSE / NQ / Dow M5 + M1, Jan 2018 – Feb 2026, ~2,090 trading days per index. Builds on the 2nd-candle study — identical trigger, focus exclusively on exit logic. Spread is baked into every metric (1 pt round-trip + 1 pt stop slippage). No trading recommendation, no return promise.

The 2nd-candle study showed when and how far the market runs after the break. This study answers the follow-up: how do you exit? 37 exit variants — including exit at the Asia session edge and the overnight-range edge (ONR) — are compared on identical trades against a fixed reference rule. Unlike the Phase-1 studies, spread is included in every R figure from the start (Phase-2 standard).

The reference rule (baseline)

Parameter Definition
Entry at the break of the reference-candle edge
Stop-Loss opposite edge of the reference candle (= 1R)
Take-Profit none
Exit stop-loss or end-of-day
Costs 1 pt spread per closed position + 1 pt stop slippage

Net of spread the baseline delivers a profit factor of 0.88 (FTSE) to 1.21 (NQ), mean 1.09 — only 3 of 4 indices profitable (FTSE turns negative with spread). The typical trend signature: high stop rate (57–68%), low win rate (28–37%), expectancy from the tail.

⚠️ The reference rule is a comparison anchor, not a validated live system. The profit factors are net-of-spread but not walk-forward-validated.

The core result

Which exit logic beats the baseline?

Strategy Mean PF Profitable on
Time-BE 30 min 1.52 4/4
Time-BE 60 min 1.30 4/4
Exit@ONR + BE60 1.23 4/4
Exit@Asia + BE60 1.22 4/4
Time-BE 90 min 1.22 3/4
Baseline (hold EOD/SL) 1.09 3/4
Trailing Chandelier 3×ATR 1.09 3/4
Fixed TP 5R 1.07 3/4
Fixed TP 3R 1.04 3/4
Exit@Asia (alone) 1.03 3/4
Exit@ONR (alone) 1.02 3/4
Fixed TP 2R 1.01 3/4
Break-even @ 1R 0.99 3/4
Trailing %MFE 50 0.76 0/4
Break-even @ 0.5R 0.62 0/4

Only time-based break-even (stop to entry after a fixed time) and its combinations with the level exits beat the baseline on all four indices. Trailing, partials, multi-TP and early R-break-even are neutral to harmful.

Time break-even: spread corrects the artifact

Time-BE optimisation curve

In the idealised (spread-free) prior version, PF rose into the absurd with earlier break-even (PF 22 at 5 min). With spread included this largely dissolves:

BE timing DAX PF DAX Total-R FTSE NQ Dow
5 min 2.29 175 1.07 2.67 3.15
10 min 2.25 247 1.26 2.46 2.46
15 min 1.95 252 1.30 2.18 1.89
20 min 1.86 278 1.24 1.97 1.69
30 min 1.73 345 1.13 1.67 1.57
60 min 1.31 236 1.01 1.50 1.37
90 min 1.29 261 0.94 1.41 1.25
Baseline 1.15 220 0.88 1.21 1.13

Key finding net-of-spread: the total-R optimum is now ~30 min (DAX 345 R), no longer 5 min (only 175 R) — spread eats the many break-even exits of the extreme-early variant. PF stays optically high at 5 min (2.29), but that's a survivor effect: at DAX, 1 pt spread is only ~2.6% of R (38 pts), too little for full collapse. Honest reading: 30 min is the sweet spot — best total-R at still-solid PF. For the FTSE (small R) spread pushes the whole curve down visibly — below 1.0 from 90 min on.

Risk profile over extra return

Baseline vs Time-BE

Index PF Ref → BE60 Total-R Ref → BE60 MaxDD Ref → BE60 Win% Ref → BE60
DAX 1.15 → 1.31 220 → 236 46R → 33R 31% → 14%
FTSE 0.88 → 1.01 −198 → +12 238R → 88R 28% → 13%
NQ 1.21 → 1.50 273 → 381 29R → 17R 37% → 20%
DOW 1.13 → 1.37 180 → 276 40R → 34R 34% → 18%

The biggest effect is drawdown reduction (DAX −28%, FTSE −63%, NQ −41%) and that FTSE turns positive at all (−198 → +12 R). Total return rises moderately, win rate drops clearly — many trades end at break-even. Time-BE makes the strategy primarily calmer and more robust, not primarily more profitable.

Exit at the Asia/ONR edge

Asia/ONR exits

A natural idea: don't hold to the close, but take profit at the Asia session edge (00:00–08:00 Berlin) or the overnight-range edge (prev close → today open). These act as take-profits, the SL stays at 1R.

Strategy Mean PF 4/4 Exit distribution (ONR, avg)
Exit@Asia (alone) 1.03 3/4
Exit@ONR (alone) 1.02 3/4 30% level, 52% SL, 17% EOD
Exit@Asia + BE60 1.22 4/4
Exit@ONR + BE60 1.23 4/4

Finding: the edge alone as a TP triggers in ~30% of trades — and is barely better than the baseline (PF ~1.03). This matches the sweep finding of the prior study: the move breaks through the edge in 75–85% of cases instead of reversing there — so a TP at the edge cuts exactly the trend days that carry the expectancy. Only combined with Time-BE-60 (secure risk fast, then TP at the edge) does the approach become robustly 4/4 profitable (PF 1.22–1.23). The edge is weak as a sole target, but usable as a building block of a hedged exit.

The ceiling: what a perfect exit would capture

Oracle ceiling

The oracle exit (exit exactly at the peak, perfect foresight) is the theoretical ceiling — net of spread:

Exit DAX FTSE NQ Dow
Best mechanical (Time-BE 60) 236 R 12 R 381 R 276 R
Oracle 60% 2,775 R 2,620 R 2,304 R 2,446 R
Oracle 80% 3,721 R 3,542 R 3,092 R 3,272 R
Oracle 100% 4,667 R 4,464 R 3,881 R 4,098 R

Even net of spread the perfect exit captures ~15–20× more than the best mechanical rule. Even 60% of the perfect move is ~2,500 R (~10×). The entire surplus lies not in the entry — that's identical — but solely in exit timing. This is where human discretion has its largest, mechanically-uncapturable lead. How close a real trader gets to the ceiling is decided by skill.

Pre-trade filters: do they help the edge?

Filter lift

Edge building includes not just entry and exit but the question: do pre-trade filters improve the result? Seven filters are laid over the best ruleset (2nd-candle break + Time-BE-60, net of spread). What matters is not the mean PF lift, but whether the filter works on all four indices — otherwise it's likely overfitting. Every filter is an extra parameter and thus an overfit risk.

Filter = value Mean lift Min lift consistent 4/4
Ref candle large (Q4) +0.23 +0.00 no
NR7 / NR4 +0.17 / +0.16 −0.02 / −0.01 no
Inside day +0.14 −0.09 no
Short side (side=down) +0.13 +0.01 yes

Key finding: of seven filters, only the short side is consistently positive across all four indices. NR4, NR7, inside-day and large reference candle look attractive on average (+0.14 to +0.23 PF) but turn negative on at least one index — curve-fit. NR4 lifts the DAX PF impressively from 1.31 to 1.99, but does not generalise.

This is the overfitting trap in its purest form: a filter that shines on one market is usually chance — passing on four markets at once is the bar that separates real from apparent edges. The later validation therefore uses the lean ruleset without fragile filters.

Add-ons: pyramiding & size sweep

The last add-on of edge development is not a filter but an in-trade question: does it pay to add to winners (scale-in / pyramiding)? Tested on the base (2nd-candle + Time-BE-60, net of spread): when the running MFE reaches +1R (or +2R), an extra unit is bought at that level; a ratcheting shared stop trails up one step after each add. Crucially — exactly your point: not just full size, but ¼, ½, full and a tapered variant in a sweep.

Evaluation is not by PF but by the Kelly criterion: G* = geometric log-growth per trade at the growth-optimal leverage f* (what actually compounds capital — and penalises drawdown automatically).

Pyramiding size sweep, Kelly growth

Index Metric Base ¼@1R ½@1R full@1R tapered
NQ G* (%/trade) 0.82 0.68 0.62 0.53 0.58
Kelly-f* 0.10 0.08 0.07 0.05 0.07
DAX G* 0.25 0.20 0.17 0.13 0.17
DOW G* 0.42 0.23 0.17 0.10 0.16
FTSE G* 0.00 ~0 0 0 0

Cross-asset mean vs base: ¼@1R −0.09, ½@1R −0.13, full −0.18, tapered −0.15 G* — no size is ≥ base on all four indices.

Key finding: the ordering is monotone on every index: base > ¼ > ½ > full. Smaller adds do less damage, but no size beats not adding at all. More than that: the Kelly leverage f* drops when you add (NQ 0.10 → 0.05) — pyramiding makes the strategy less leverageable, not more. It forces a perfectly correlated extra position at a worse entry (+1R) on the same stop; that raises variance more than the mean, and Kelly (= mean of log returns) penalises exactly that.

A momentum filter does not rescue it either. Adding only into fast trends (+1R reached within ≤ 30 min) still leaves Kelly growth below the base on all three edge markets (NQ 0.63 vs 0.82; DOW 0.17 vs 0.42; DAX 0.19 vs 0.25) — and the fast adds are actually the worst, because a fast spike to +1R is often an overextension that reverts and fills the add at the high. A spurious gain appears only on the edge-less FTSE — i.e. noise.

The clean consequence: the growth-optimal add size is 0. If you want more exposure on this edge, you lever the base uniformly — that is position sizing and belongs in Phase 4 (Kelly), not in a pyramiding mechanic. Plain bigger sizing scales every R linearly and leaves PF/recovery untouched; pyramiding degrades both.

Conclusion

Across four indices and ~2,090 days per index, net of spread:

  1. Trailing stops, partials, multi-TP add nothing — most make it worse, because they cut the tail or stop out normal pullbacks.
  2. Fixed take-profits barely survive the spread (PF ~1.0) — the edge is in the tail, not the target.
  3. Time break-even is the only mechanical modification with a genuine edge — net of spread, ~30 min is the sweet spot (best total-R), the effect lies mainly in drawdown reduction.
  4. Exit at the Asia/ONR edge alone is weak (cuts the tail), but combined with Time-BE robustly 4/4.
  5. The perfect exit captures ~15× — solely in exit timing, not the entry.
  6. Pre-trade filters almost never generalise — only the short bias holds cross-asset; every further filter is overfit risk.
  7. Pyramiding pays at no size — ¼/½/full/tapered all lower the Kelly growth; the growth-optimal add size is 0. Raising exposure belongs in Phase 4 as uniform leverage, not in a scale-in mechanic.

The lean ruleset built here next goes through the validation gate (Phase 3).

Limitations: spread modelled (1 pt), slippage only estimated as a stop surcharge — measurable for real only in forward testing. Reference rule = comparison anchor, not walk-forward-validated. Trend logic to EOD/SL. Single-source data (Dukascopy). News events/volume not covered.


📄 Full study as PDF · See also: 2nd opening candle · 7th opening candle

Disclaimer: Historical statistics are no guarantee of future market behaviour. Not investment advice. Trading involves risk of loss up to total loss.