MBLY: Post Collapse Recovery detected on 8 Jul 2026

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On 8 Jul 2026, our scan flagged MBLY as a post collapse recovery setup scoring 67 out of 98 (Moderate tier), with a 66% win probability based on our historical pattern database and a 0.5 to 1 reward to risk ratio. This is a swing trade setup: win probability reflects a 10 trading day hold, not an intraday move. At $9.50, the conservative target is $9.98 with a stop at $8.92. A further breakout above resistance near $11.26 offers a larger move if momentum continues past the initial target.

Overall Score
67 of 98
Moderate
Win Probability
66%
Moderate
Reward / Risk
0.5 : 1
$0.08 reward $-0.17 risk
Swing Trading Plan
Entry
$9.50
Target
$9.98
Stop Loss
$8.92
Holding Period
Up to 10 trading days
Win Probability
66%
Current Setup
Mobileye is forming a post-collapse recovery pattern after a difficult prior year that saw the stock decline roughly 33%. The stock sits at $9.50, trading 52.92% below its 52-week high but 46.83% above its 52-week low, positioning it in the mid-range of recent extremes. Structure score of 12.21, breakout score of 12.3, and volume score of 9.2 reflect moderate pattern cohesion with acceptable confirmation. Current volume of 7.3M shares (1.12x average) shows building participation. The stock must reclaim the key resistance level of $11.26 to signal genuine breakout conviction, with the conservative measured move target at $9.98.
Stock Context
Mobileye reported Q1 2026 revenue of $558 million, up 27% year-over-year with adjusted earnings of $0.12 per share, beating the $0.09 consensus forecast. The company raised full-year 2026 revenue guidance to $1.94–$2.02 billion from prior guidance of $1.90–$1.98 billion. Stronger demand for advanced driver-assistance systems emerged as automakers began placing orders again after excess inventory had forced slowdowns in the prior year. Management authorized a $250 million share repurchase program, signaling confidence. As of April 2026, roughly 60% of covering analysts rate the stock as a Buy, though a non-cash $3.8 billion goodwill impairment tied to Intel's prior acquisition created a headline loss that masks underlying operational strength.
What to Expect
Analyst consensus suggests 50.85% upside potential from April levels. A successful breakout above $11.26 resistance would target the conservative measured move of $9.98 initially, with potential to extend toward the $13.05 twelve-month analyst price target. The average analyst rating is Buy with a 12-month target of $13.05, representing 36.36% upside from current levels. Volume must sustain above the 1.12x ratio to confirm momentum. The pattern invalidates decisively if price closes below the key support level of $7.66, representing 19.4% downside risk. With a 65.88% win probability, the risk/reward profile suggests roughly 2-to-1 favorable odds for pattern followers.
Risk Factors
Both the broad market and technology sector remain in bearish regime conditions (regime scores -0.33 and -0.38 respectively), creating headwinds for sustained recovery. While TD Cowen raised its price target to $16, Raymond James trimmed guidance from $16 to $14 due to an uncertain macro backdrop. The stock's beta of 1.44 amplifies downside during market volatility. The $3.8 billion goodwill impairment, though non-cash, signals prior overvaluation from Intel's 2017 acquisition, raising questions about future write-downs if operational momentum stalls. RSI at 53.7 shows neutral positioning with no overbought condition, but recent 1-week and 2-week gains of 14.46% and 13.91% respectively contrast sharply with the -9.87% one-month decline, indicating volatility and potential profit-taking risk. Heightened volatility at 84.98% increases execution risk.
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 MBLY a good swing trade?
MBLY scored 67 out of 98 on our post collapse recovery scan, with a 66% historical win probability over the standard 10 trading day 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 $9.50, with a conservative target of $9.98 and a stop loss at $8.92.
What would invalidate this post collapse recovery setup?
A close below the stop loss at $8.92 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 post collapse recovery 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 -0.33
-1.0 0 +1.0
Technology Sector
Bearish -0.38
-1.0 0 +1.0
Overall Score
33 of 40
Strong
Pattern Quality
18 of 20
Exceptional
Setup
11 of 20
Fair
R/R
4 of 18
Weak
Context
Pattern Quality Score
12 of 15
Strong
Structure
12 of 13
Exceptional
Breakout
9 of 12
Good
Volume
Recent Performance
+14.5%
1W
+13.9%
2W
-9.9%
1M
+29.4%
3M
Momentum & Trend
RSI (14)
53.7
Neutral
MACD Histogram
+0.12
Bullish
Bollinger Band Position
66.8%
Mid Zone
Volatility & Risk
20-Day Volatility
0.85
Very High
ATR %
6.1%
High
Beta
1.44
Above Mkt
Volume Analysis
Volume Ratio
1.12x
Average
20-Day Avg Vol
6.6M
shares / day
Current Volume
7.3M
shares traded
Price Levels
52W High
$20.18
Resistance
$11.26
Target
$9.98
Current
$9.50
Stop Loss
$8.92
Support
$7.66
52W Low
$6.47
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.