NCLH: Double Bottom detected on 27 Oct 2026

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On 27 Oct 2026, our scan flagged NCLH as a double bottom setup scoring 68 out of 98 (Moderate tier), with a 66% win probability based on our historical pattern database and a 0.43 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 $15.25, the conservative target is $16.02 with a stop at $13.46. A further breakout above resistance near $17.72 offers a larger move if momentum continues past the initial target.

Overall Score
68 of 98
Moderate
Win Probability
66%
Moderate
Trade R:R
0.43 : 1
$0.77 to target $1.79 to stop
Swing Trading Plan
Entry
$15.25
Target
$16.02
Stop Loss
$13.46
Holding Period
2-8 trading days
Expected Return
+$0.14
Exp. Reward
+$0.40
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 is forming a double bottom pattern with perfect structure (15.0/15 score). The stock found support near $14.66 twice and is now trading at $15.25, positioned 11.89% above its 52-week low. The breakout score of 13.0/13 indicates strong directional conviction, though volume at 0.8x average shows mild participation. RSI sits at neutral 49.32—neither overbought nor oversold. The measured move target stands at $16.02 with key resistance at $17.72. Overall score of 67.91 and win probability of 65.77% reflects a legitimate but not exceptional setup.
Stock Context
NCLH will release Q3 2026 earnings before market open on Thursday, October 29, creating an imminent earnings catalyst just two days from the pattern detection date. Analysts are expecting a softer quarter despite the stock's recent outperformance. Key investor concerns include estimate cuts, high leverage, and negative free cash flow. On the positive side, recent operational moves include a new Great Stirrup Cay waterpark and debt refinancing efforts, and NCLH expanded its technology agreement with Versonix across all three cruise brands on October 25. However, analyst sentiment has weakened—JPMorgan downgraded NCLH to Sell in late October—though Citigroup maintained a Buy rating with $19 price target. The stock is down 32% year-to-date, reflecting broad sector pressure.
What to Expect
A successful breakout above $17.72 resistance would target the conservative measured move of $16.02, representing roughly 5% upside from current price. The pattern suggests this could occur on volume confirmation at breakout. Invalidation occurs below key support of $14.66—a breach below that level would signal the double bottom failed and likely trigger a lower retest. With 65.77% win probability, historical data indicates this setup succeeds about two-thirds of the time. However, the compressed volume (0.8x average) means conviction is not exceptionally strong; a breakout would need to occur on expanding volume for institutional follow-through.
Risk Factors
Earnings report drops in two days (October 29), a major volatility event that could invalidate or accelerate the pattern unpredictably. Negative free cash flow and high leverage remain structural concerns. The stock's beta of 2.1 means it is highly volatile—moves will be sharp in either direction. Analyst coverage shows 16 Hold ratings versus only 7 Buy ratings, indicating consensus hesitation. The 3-month performance of -28.13% reflects significant downtrend momentum that could reassert post-earnings. Volume is below average (0.8x), which weakens conviction in the breakout; if volume does not expand at resistance, the breakout may fail. Consumer discretionary sector regime is only moderately bullish (0.39 score), limiting sectoral tailwinds.
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 68 out of 98 on our double bottom scan, with a 66% historical win probability over a 2-8 trading days hold. Moderate setup based on our systematic scoring.
What is the entry, target, and stop loss for this setup?
The setup's reference price is $15.25, with a conservative target of $16.02 and a stop loss at $13.46.
What would invalidate this double bottom setup?
A close below the stop loss at $13.46 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 0.96
-1.0 0 +1.0
Consumer Discretionary Sector
Bullish 0.39
-1.0 0 +1.0
Overall Score
39 of 40
Exceptional
Pattern Quality
10 of 20
Fair
Setup
11 of 20
Fair
R/R
8 of 18
Weak
Context
Pattern Quality Score
15 of 15
Exceptional
Structure
13 of 13
Exceptional
Breakout
11 of 12
Exceptional
Volume
Recent Performance
+0.1%
1W
-0.7%
2W
+4.4%
1M
-28.1%
3M
Momentum & Trend
RSI (14)
49.3
Neutral
MACD Histogram
+0.06
Bullish
Bollinger Band Position
53.6%
Mid Zone
Volatility & Risk
20-Day Volatility
0.38
High
ATR %
4.3%
Medium
Beta
2.10
High Beta
Volume Analysis
Volume Ratio
0.80x
Average
20-Day Avg Vol
20.3M
shares / day
Current Volume
16.3M
shares traded
Price Levels
52W High
$25.12
Resistance
$17.72
Target
$16.02
Current
$15.25
Support
$14.66
52W Low
$13.63
Stop Loss
$13.46
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.