INSM: Rounding Bottom detected on 6 Oct 2026

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On 6 Oct 2026, our scan flagged INSM as a rounding bottom setup scoring 64 out of 98 (Moderate tier), with a 70% win probability based on our historical pattern database and a 0.51 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 $103.83, the conservative target is $109.59 with a stop at $92.61. A further breakout above resistance near $161.42 offers a larger move if momentum continues past the initial target.

Overall Score
64 of 98
Moderate
Win Probability
70%
Moderate
Trade R:R
0.51 : 1
$5.76 to target $11.22 to stop
Swing Trading Plan
Entry
$103.83
Target
$109.59
Stop Loss
$92.61
Holding Period
2-7 trading days
Expected Return
+$1.90
Exp. Reward
+$3.28
Exp. Risk
-$1.38

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

Current Setup
INSM is forming a rounding bottom with structure score 13.0, volume score 11.0, and breakout score 13.0, yielding an overall pattern quality score of 64.0. The stock trades at $103.83 between key support at $90.39 and resistance at $161.42. Current volume of 5.39M shares is 2.17x the 20-day average, providing solid confirmation. RSI at 30.94 indicates oversold conditions—a classic setup for mean reversion. The pattern sits only 14.87% above its 52-week low but 51.2% below the 52-week high, suggesting consolidation after a significant decline.
Stock Context
Insmed announced on October 5, 2026 that CFO Sara Bonstein will step down on October 30 after nearly seven years, creating near-term leadership uncertainty. However, the company reaffirmed full-year 2026 guidance of $1.25–$1.40 billion for BRINSUPRI (brensocatib) and $450–$470 million for ARIKAYCE. CEO Will Lewis stated the company is "well positioned to reach cash flow positivity next year". The FDA granted priority review to ARIKAYCE for MAC lung disease with a January 28, 2027 PDUFA target. Phase 2b data for TPIP in PAH is expected in Q3 2026. Despite positive operational momentum and pipeline catalysts, the CFO transition and sector bearish regime (−0.23) weigh on sentiment.
What to Expect
A successful breakout above resistance at $161.42 would target a measured move of $109.59 conservatively—a 5.5% gain from current price. The 69.83% win probability suggests historical patterns of this type break upward approximately 70% of the time. Volume confirmation is critical: sustaining above $105 on continued elevated volume (>2.5M shares) would validate the setup. Invalidation occurs decisively below key support at $90.39; a break there signals failed reversal and potential continuation of the downtrend. The pattern suggests a test of intermediate resistance near $115–120 before attempting the $161.42 level.
Risk Factors
The immediate CFO departure on October 30 creates transition risk through the October 29 earnings call. Q3 earnings are estimated October 29 with EPS loss of $0.62 and revenue of $464M—any miss could trigger accelerated selling. Sector regime is bearish (−0.23), headwind for biotech sentiment. Stock declined 18% over one month and 12% over one week; momentum remains severely negative despite oversold RSI. Elevated volatility (43.26%) and 4.92% ATR mean sharp reversals could trigger stop losses. Beta of 0.2 provides some downside protection but limits upside velocity. Regulatory approval PDUFA date (Jan 2027) is distant; no near-term catalysts besides earnings could reignite momentum.
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 INSM a good swing trade?
INSM scored 64 out of 98 on our rounding bottom scan, with a 70% 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 $103.83, with a conservative target of $109.59 and a stop loss at $92.61.
What would invalidate this rounding bottom setup?
A close below the stop loss at $92.61 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 rounding 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 0.95
-1.0 0 +1.0
Health Care Sector
Bearish -0.24
-1.0 0 +1.0
Other Patterns Detected Today
Bullish Pennant
25 days in pattern
Moderate 28.0
Overall Score
37 of 40
Exceptional
Pattern Quality
7 of 20
Weak
Setup
13 of 20
Moderate
R/R
7 of 18
Weak
Context
Pattern Quality Score
13 of 15
Strong
Structure
13 of 13
Exceptional
Breakout
11 of 12
Exceptional
Volume
Recent Performance
-11.8%
1W
-14.2%
2W
-18.0%
1M
-8.0%
3M
Momentum & Trend
RSI (14)
30.9
Neutral
MACD Histogram
-1.70
Strong Bearish
Bollinger Band Position
-9.7%
Lower Band
Volatility & Risk
20-Day Volatility
0.43
High
ATR %
4.9%
Medium
Beta
0.20
Defensive
Volume Analysis
Volume Ratio
2.17x
Very High
20-Day Avg Vol
2.5M
shares / day
Current Volume
5.4M
shares traded
Price Levels
52W High
$212.77
Resistance
$161.42
Target
$109.59
Current
$103.83
Stop Loss
$92.61
Support
$90.39
52W Low
$90.39
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.