NCLH: Double Bottom detected on 28 Oct 2026

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On 28 Oct 2026, our scan flagged NCLH as a double bottom setup scoring 73 out of 98 (Good tier), with a 66% win probability based on our historical pattern database and a 0.44 to 1 risk to reward profile from the published levels. This is a swing trade setup: win probability reflects a multi-day swing hold, not an intraday move. At $15.75, the conservative target is $16.54 with a stop at $13.95. A further breakout above resistance near $17.72 offers a larger move if momentum continues past the initial target.

Overall Score
73 of 98
Good
Win Probability
66%
Moderate
Trade R:R
0.44 : 1
$0.79 to target $1.80 to stop
Swing Trading Plan
Entry
$15.75
Target
$16.54
Stop Loss
$13.95
Holding Period
2-8 trading days
Expected Return
+$0.16
Exp. Reward
+$0.42
Exp. Risk
-$0.26

Expected figures are probability-weighted from our historical pattern database; Trade R:R is measured from the entry, target and stop levels.

Current Setup
NCLH forms a double-bottom pattern with perfect structure score of 15.0, indicating two distinct troughs establishing a reliable support floor at 14.66. The pattern broke above key resistance at 17.72, with breakout score of 13.0 reflecting strong directional commitment. Volume remains slightly elevated at 1.09x average (21.7M shares vs 20.0M avg), though the 10.91 volume score suggests room for stronger accumulation. Price now trades at 15.75, down 37.3% from 52-week highs but up 15.55% from lows—positioning the stock in the middle of its recent range with RSI at 55.57 (neutral, not overbought) and MACD histogram positive at 0.0774.
Stock Context
NCLH delivered solid second quarter 2026 profitability ahead of guidance, advancing strategic priorities including sharpening brand positioning and executing $100 million of cost savings. First quarter 2026 revenue grew 10% to $2.3 billion with Adjusted EBITDA of $533 million, up 18% versus 2025. However, J.P. Morgan analyst Matthew Boss downgraded the stock citing concerns over profitability pressure, expecting 6.5% decline in net yield and loss of $0.12 per share from rising fuel costs and operating expenses. Updated guidance calls for occupancy of about 104.0% in Q3 and 102.3% for full-year 2026. Third quarter 2026 results conference call is scheduled for October 29, 2026—tomorrow—which represents an imminent catalyst.
What to Expect
A successful breakout would confirm the double-bottom reversal, with the conservative measured move target of 16.54 representing the initial objective—a 4.9% gain from current price. Volume confirmation remains critical; sustained volume above the 20-day average would reinforce accumulation and indicate institutional conviction. The invalidation level sits at key support 14.66; breach below this would negate the double-bottom thesis and suggest the pattern failed. With win_probability of 65.77%, historical precedent favors upside, though the high beta of 2.06 and 20-day volatility of 37.53% mean reversals could be sharp and extended.
Risk Factors
Rising fuel costs and operating expenses are expected to outpace market expectations, with projected loss of $0.12 per share. High leverage and interest costs remain the biggest risks to recovery, with debt reduction as the key short-term catalyst. Q3 earnings tomorrow (Oct 29) could trigger volatility; any miss on occupancy guidance or profitability would invalidate near-term optimism. Stock's 3-month performance shows -24.1% decline despite 1-month strength, indicating heavy recent selling pressure. Beta of 2.06 means this consumer discretionary name amplifies market downturns. Additionally, macroeconomic risks including inflation, tariff increases, rising fuel prices and higher interest rates pose ongoing uncertainty.
How We Find and Score This Setup
We scan more than 6,000 NYSE and NASDAQ stocks every trading day and compare each detected pattern against a database of 370,000+ historical detections. Every setup is scored across three dimensions: Structure, Volume, and Breakout Readiness. Win probability is a calibrated estimate of how similar historical setups performed over the following 10 trading days. This is a swing trading tool built for multi-day holds. It is not built or tested for day trading.
Frequently Asked Questions
Is NCLH a good swing trade?
NCLH scored 73 out of 98 on our double bottom scan, with a 66% historical win probability over a 2-8 trading days hold. Good setup based on our systematic scoring.
What is the entry, target, and stop loss for this setup?
The setup's reference price is $15.75, with a conservative target of $16.54 and a stop loss at $13.95.
What would invalidate this double bottom setup?
A close below the stop loss at $13.95 would invalidate the setup and suggest the pattern has failed.
How is the win probability calculated?
Win probability is a calibrated estimate of how similar historical double bottom setups performed over the following 10 trading days, drawn from a database of 370,000+ historical pattern detections across 6,000+ NYSE and NASDAQ stocks.
Market & Sector Regime
Market
Bullish 0.90
-1.0 0 +1.0
Consumer Discretionary Sector
Bullish 0.72
-1.0 0 +1.0
Overall Score
39 of 40
Exceptional
Pattern Quality
16 of 20
Strong
Setup
11 of 20
Fair
R/R
7 of 18
Weak
Context
Pattern Quality Score
15 of 15
Exceptional
Structure
13 of 13
Exceptional
Breakout
11 of 12
Exceptional
Volume
Recent Performance
+0.6%
1W
+2.8%
2W
+10.1%
1M
-24.1%
3M
Momentum & Trend
RSI (14)
55.6
Neutral
MACD Histogram
+0.08
Bullish
Bollinger Band Position
88.5%
Upper Zone
Volatility & Risk
20-Day Volatility
0.38
High
ATR %
4.1%
Medium
Beta
2.06
High Beta
Volume Analysis
Volume Ratio
1.09x
Average
20-Day Avg Vol
20.0M
shares / day
Current Volume
21.7M
shares traded
Price Levels
52W High
$25.12
Resistance
$17.72
Target
$16.54
Current
$15.75
Support
$14.66
Stop Loss
$13.95
52W Low
$13.63
Disclaimer: This analysis is algorithmically generated for educational purposes only and does not constitute financial advice. Past pattern performance does not guarantee future results. Win probabilities are based on historical data across 370,000+ observations. Always conduct your own research and consult a qualified financial advisor. AI-assisted contextual analysis by Claude (Anthropic). Indicators reflect values at time of detection.