IBM: Inverse Head And Shoulders detected on 21 Sep 2026

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On 21 Sep 2026, our scan flagged IBM as a inverse head and shoulders setup scoring 52 out of 98 (Fair tier), with a 59% win probability based on our historical pattern database and a 0.57 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 $229.55, the conservative target is $240.42 with a stop at $210.47.

Overall Score
52 of 98
Fair
Win Probability
59%
Low
Trade R:R
0.57 : 1
$10.87 to target $19.08 to stop
Swing Trading Plan
Entry
$229.55
Target
$240.42
Stop Loss
$210.47
Holding Period
2-7 trading days
Expected Return
+$1.26
Exp. Reward
+$5.04
Exp. Risk
-$3.78

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

Current Setup
IBM has formed an inverse head and shoulders pattern as the stock closed at USD 237.49 on September 16, 2026, following a major Chips Act grant and cautious revenue outlook. The pattern shows structure score of 10.0 with strong volume confirmation at 12.0 (volume ratio of 2.53x average), though breakout score of 7.0 indicates modest directional conviction. Current price sits at 229.55 with key support at 227.4 and resistance at 168.59. The setup targets 240.42 conservatively, positioning roughly 4.7% upside from current levels. RSI at 44.1 suggests neutral momentum without overbought conditions.
Stock Context
IBM stock closed down 4.38% on September 16 after investors weighed a $1 billion Chips Act award for its Anderon unit, though the award itself represented a positive fundamental catalyst. Guidance for 2026 revenue growth was cut to 4-5%, down from prior expectations of more than 5%. Most recently on September 18, IBM closed at 230.09 as investors digested an earnings-per-share miss alongside diverging analyst price targets around the company's artificial intelligence strategy. Q2 2026 revenue rose 1% to about $17.2 billion while hybrid cloud growth stayed in double digits. The stock trades roughly 30% below its June 2026 peak, creating technical recovery potential despite near-term execution questions.
What to Expect
A successful inverse head and shoulders breakout would target 240.42 (measured move), requiring confirmation above resistance near current consolidation levels with sustained volume above 2.5x average daily. Analyst consensus remains Moderate Buy with a $265.90 price target, implying 15.8% upside if the pattern resolves higher. The invalidation level sits at 227.4 support; a close below this price would negate the setup. Win probability scores 59.17%, suggesting slightly better-than-coin-flip odds for breakout success. Volume surge (2.53x) strengthens the pattern's potential, though breakout score of 7.0 signals patience may be required before directional moves materialize.
Risk Factors
IBM faces near-term headwinds despite the Chips Act victory: Analyst views have become more mixed following latest developments, with at least three notable houses updating their stance and price targets in recent days. Revenue guidance reduction to 4-5% growth signals weakening demand momentum. The stock trades in a bearish market regime (score -0.23) despite a bullish technology sector (0.92), creating cross-current pressure. Shares now trade roughly 30% below their June 2, 2026 record close of $329.23, reflecting significant profit-taking and execution concerns. Beta of 1.09 and volatility of 36.69% expose the pattern to broad market swings. Recent EPS miss and mixed analyst actions suggest earnings uncertainty remains; next earnings catalyst could trigger volatile repricing before the conservative target is reached.
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 IBM a good swing trade?
IBM scored 52 out of 98 on our inverse head and shoulders scan, with a 59% historical win probability over a 2-7 trading days hold. Fair setup based on our systematic scoring.
What is the entry, target, and stop loss for this setup?
The setup's reference price is $229.55, with a conservative target of $240.42 and a stop loss at $210.47.
What would invalidate this inverse head and shoulders setup?
A close below the stop loss at $210.47 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
Bearish -0.24
-1.0 0 +1.0
Technology Sector
Bullish 0.92
-1.0 0 +1.0
Overall Score
29 of 40
Good
Pattern Quality
7 of 20
Weak
Setup
9 of 20
Weak
R/R
7 of 18
Weak
Context
Pattern Quality Score
10 of 15
Moderate
Structure
7 of 13
Fair
Breakout
12 of 12
Exceptional
Volume
Recent Performance
-5.7%
1W
-2.2%
2W
-3.2%
1M
-7.2%
3M
Momentum & Trend
RSI (14)
44.1
Neutral
MACD Histogram
+0.01
Bullish
Bollinger Band Position
20.0%
Lower Zone
Volatility & Risk
20-Day Volatility
0.37
High
ATR %
3.1%
Medium
Beta
1.09
Market
Volume Analysis
Volume Ratio
2.53x
Very High
20-Day Avg Vol
5.3M
shares / day
Current Volume
13.4M
shares traded
Price Levels
52W High
$330.10
Target
$240.42
Current
$229.55
Support
$227.40
Stop Loss
$210.47
52W Low
$197.79
Resistance
$168.59
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.