MIR: Double Bottom detected on 13 Oct 2026

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On 13 Oct 2026, our scan flagged MIR as a double bottom setup scoring 67 out of 98 (Moderate tier), with a 63% win probability based on our historical pattern database and a 0.39 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 $16.25, the conservative target is $17.02 with a stop at $14.27. A further breakout above resistance near $17.65 offers a larger move if momentum continues past the initial target.

Overall Score
67 of 98
Moderate
Win Probability
63%
Moderate
Trade R:R
0.39 : 1
$0.77 to target $1.98 to stop
Swing Trading Plan
Entry
$16.25
Target
$17.02
Stop Loss
$14.27
Holding Period
2-7 trading days
Expected Return
+$0.09
Exp. Reward
+$0.37
Exp. Risk
-$0.28

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

Current Setup
MIR is forming a double bottom pattern with solid technical structure (14.06/15 structure score). The stock is trading at $16.25, positioned between key support at $14.04 (52-week low) and resistance at $17.65. The pattern shows adequate volume confirmation (12.0/12 volume score), though breakout quality is moderate (8.67/13). Volume is running 94% of 20-day average. RSI at 55.57 indicates neutral momentum—neither overbought nor oversold. MACD histogram positive at 0.1394 suggests early bullish momentum. The 62.87% win probability indicates historical precedent for this pattern structure in similar conditions.
Stock Context
Q2 2026 revenue rose to $266.8M with Adjusted EBITDA of $65.3M, stronger orders and cash flow, while Mirion reaffirmed 2026 revenue, EBITDA, cash flow and EPS guidance. Second quarter 2026 revenue was up 19.7% from $222.9 million a year earlier, driven by growth in both product and service revenues. Management highlighted margin expansion across both operating segments, increased adjusted free cash flow, and continued orders and backlog growth, including several large opportunity orders captured in Q2. However, Goldman Sachs lowered its price target to $20 from $23 on September 30, 2026, signaling some analyst caution despite operational strength. The stock's recent recovery from a $14.40 52-week low (August 28) reflects renewed confidence in nuclear-driven fundamentals.
What to Expect
A successful breakout above $17.65 resistance would target $17.02 conservatively, with the pattern suggesting potential for higher extension depending on volume follow-through. The invalidation level sits at key support of $14.04—failure to hold this level would negate the double bottom setup. Volume confirmation is critical: breakout confirmation typically requires volume at or above the 20-day average of 4.3M shares. At 62.87% win probability, historical data supports this pattern type succeeding roughly two-thirds of the time. Beta of 1.7 indicates MIR will amplify moves in both directions during breakout execution.
Risk Factors
Elevated volatility (20-day at 53.92%) and high beta (1.7) create whipsaw risk. The stock has shown significant volatility with a 52-week range of $14.04 to $30.28, reflecting investor uncertainty despite fundamentals. Analyst sentiment is mixed—multiple price target reductions in September (Goldman, JPMorgan, Morgan Stanley) alongside Buy initiations (Jefferies, Northland) suggest disagreement on valuation. The stock is currently down 46.33% from its 52-week high of $30.28, raising questions about whether Q2 strength justifies higher multiples. No imminent catalysts identified—next quarterly earnings would be Q3 (likely late October). Macro industrial sector is neutral (regime score -0.12), providing no tailwind.
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 MIR a good swing trade?
MIR scored 67 out of 98 on our double bottom scan, with a 63% historical win probability over a 2-7 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 $16.25, with a conservative target of $17.02 and a stop loss at $14.27.
What would invalidate this double bottom setup?
A close below the stop loss at $14.27 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 0.64
-1.0 0 +1.0
Industrials Sector
Neutral -0.12
-1.0 0 +1.0
Overall Score
35 of 40
Strong
Pattern Quality
18 of 20
Exceptional
Setup
9 of 20
Weak
R/R
5 of 18
Weak
Context
Pattern Quality Score
14 of 15
Exceptional
Structure
9 of 13
Moderate
Breakout
12 of 12
Exceptional
Volume
Recent Performance
+8.9%
1W
+13.2%
2W
+1.7%
1M
-0.2%
3M
Momentum & Trend
RSI (14)
55.6
Neutral
MACD Histogram
+0.14
Bullish
Bollinger Band Position
68.6%
Mid Zone
Volatility & Risk
20-Day Volatility
0.54
Very High
ATR %
4.4%
Medium
Beta
1.70
High Beta
Volume Analysis
Volume Ratio
0.94x
Average
20-Day Avg Vol
4.3M
shares / day
Current Volume
4.1M
shares traded
Price Levels
52W High
$30.28
Resistance
$17.65
Target
$17.02
Current
$16.25
Stop Loss
$14.27
52W Low
$14.04
Support
$14.04
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.