UCTT: Inverse Head And Shoulders detected on 1 Oct 2026

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On 1 Oct 2026, our scan flagged UCTT as a inverse head and shoulders setup scoring 68 out of 98 (Moderate tier), with a 61% win probability based on our historical pattern database and a 0.40 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 $81.06, the conservative target is $85.39 with a stop at $70.19.

Overall Score
68 of 98
Moderate
Win Probability
61%
Moderate
Trade R:R
0.40 : 1
$4.33 to target $10.87 to stop
Swing Trading Plan
Entry
$81.06
Target
$85.39
Stop Loss
$70.19
Holding Period
2-8 trading days
Expected Return
+$0.14
Exp. Reward
+$2.13
Exp. Risk
-$1.99

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

Current Setup
UCTT has formed an inverse head-and-shoulders pattern with the current price at $81.06 nestled between key support at $64.77 and resistance at $62.76. The pattern structure scores a solid 9.0, with outstanding volume confirmation at 10.0 (volume ratio of 1.88x average), and a strong breakout score of 13.0 indicating healthy upside momentum building. The 68.0 overall score reflects a compelling reversal setup, with the stock up 21.84% over two weeks and 19.5% monthly, though off 37.45% from its June peak of $144.22. At 4.81% ATR volatility with a beta of 2.95, this setup carries meaningful sensitivity to market moves.
Stock Context
Ultra Clean delivered Q2 2026 results above guided range on strong operational execution and customer demand, with CEO James Xiao emphasizing that AI continues to drive long-term semiconductor manufacturing investment. Q2 revenue hit $644.9 million, up 24.3% YoY and above the $599.4 million estimate, with gross profit rising 30.4% to $103.7 million. However, operating profit fell to $29.5 million and diluted EPS came in at $0.19, well below the $0.54 estimate. Multiple analysts raised price targets post-earnings: Sankar to $140, UBS to $150, and Oppenheimer to $150. In March 2026, Ultra Clean raised $600 million in convertible notes and repurchased 0.7 million shares for $40.3 million. The pattern formation reflects pullback consolidation within a broader AI-driven wafer fab equipment upcycle.
What to Expect
A successful inverse head-and-shoulders breakout above resistance at $62.76 would project a measured move target of $85.39, representing a 5.4% upside from the current level. The pattern's 61.3% win probability suggests moderate conviction. Volume confirmation has already registered at 1.88x average, supporting potential breakout follow-through. Invalidation occurs at key support of $64.77—a close below this level would negate the reversal setup and signal a continuation of the three-month downtrend. The breakout score of 13.0 indicates the pattern carries sufficient structural quality to warrant the measured move target.
Risk Factors
Profitability concerns surfaced: operating profit declined while EPS missed consensus by 35% and operating cash flow turned negative at -$41.1 million. Insider selling activity is a red flag—insiders have sold $12.0 million worth of shares over the past 12 months with no buying reported. The stock is up 217.7% YTD and currently trading 79% above GF Value estimates at $80.46 versus intrinsic value of $44.95. With beta of 2.95 and volatility at 62.8%, UCTT amplifies broader market selloffs. RSI at 58.62 remains neutral but lacks buffer against mean reversion. The 43.79% decline from 52-week highs and elevated valuation relative to fundamentals create vulnerability if semiconductor demand moderates or earnings revisions disappoint.
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 UCTT a good swing trade?
UCTT scored 68 out of 98 on our inverse head and shoulders scan, with a 61% 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 $81.06, with a conservative target of $85.39 and a stop loss at $70.19.
What would invalidate this inverse head and shoulders setup?
A close below the stop loss at $70.19 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 inverse head and shoulders 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 0.95
-1.0 0 +1.0
Technology Sector
Bullish 0.94
-1.0 0 +1.0
Overall Score
32 of 40
Strong
Pattern Quality
20 of 20
Exceptional
Setup
9 of 20
Weak
R/R
7 of 18
Weak
Context
Pattern Quality Score
9 of 15
Moderate
Structure
13 of 13
Exceptional
Breakout
10 of 12
Strong
Volume
Recent Performance
+4.9%
1W
+21.8%
2W
+19.5%
1M
-37.5%
3M
Momentum & Trend
RSI (14)
58.6
Neutral
MACD Histogram
+1.61
Strong Bullish
Bollinger Band Position
90.0%
Upper Band
Volatility & Risk
20-Day Volatility
0.63
Very High
ATR %
4.8%
Medium
Beta
2.95
High Beta
Volume Analysis
Volume Ratio
1.88x
Very High
20-Day Avg Vol
854K
shares / day
Current Volume
1.6M
shares traded
Price Levels
52W High
$144.21
Target
$85.39
Current
$81.06
Stop Loss
$70.19
Support
$64.77
Resistance
$62.76
52W Low
$21.48
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.