LMND: Inverse Head And Shoulders detected on 10 Sep 2026

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On 10 Sep 2026, our scan flagged LMND as a inverse head and shoulders setup scoring 57 out of 98 (Fair tier), with a 62% win probability based on our historical pattern database and a 0.43 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 $49.22, the conservative target is $51.85 with a stop at $43.13.

Overall Score
57 of 98
Fair
Win Probability
62%
Moderate
Trade R:R
0.43 : 1
$2.63 to target $6.09 to stop
Swing Trading Plan
Entry
$49.22
Target
$51.85
Stop Loss
$43.13
Holding Period
2-8 trading days
Expected Return
+$0.20
Exp. Reward
+$1.31
Exp. Risk
-$1.11

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

Current Setup
LMND is forming an inverse head-and-shoulders pattern at $49.22, positioned near key support at $48.84. The pattern quality is moderate with a structure score of 9.0 out of 15, breakout score of 12.0 out of 13, and volume score of 12.0 out of 12, yielding an overall score of 57.0. Volume is elevated at 1.55x the 20-day average (1.5M shares vs. 969k average), suggesting institutional accumulation interest. The measured move target sits at $51.85, representing approximately 5.4% upside from current price. The 62.02% win probability indicates moderate confidence in breakout success.
Stock Context
Lemonade reported 32.5% year-over-year growth in in-force premium reaching $1.43 billion, with revenue up 79% to $294 million, in Q2 2026 results disclosed July 29. The company improved adjusted EBITDA loss by 54% to $19 million and is on track to achieve its first positive adjusted EBITDA quarter in Q4 2026. LMND beat earnings expectations with EPS of -$0.56 versus -$0.57 estimate. The company announced a CFO transition with longtime CFO Tim Bixby transitioning to the Board effective January 1, 2027, while Nick Stead, SVP Finance, assumes the CFO role. Lemonade achieved its best-ever LAE ratio of 5%, significantly below the industry average of 9%. Despite strong operational momentum, the company still reported net losses, creating mixed sentiment as guidance improvements collide with persistent unprofitability.
What to Expect
A successful breakout above $49.22 resistance would target $51.85 on the measured move, requiring close above the neckline with sustained volume above 1.2M shares to confirm institutional commitment. Historical data suggests inverse head-and-shoulders patterns with 62% win probability typically see 5-8% rallies on breakout confirmation. The invalidation level sits at $48.84 support—a break below this price would negate the pattern and likely trigger a test of the left shoulder low. RSI at 38.76 shows room for upside expansion before overbought conditions, with MACD histogram positive at 0.0911 supporting momentum build.
Risk Factors
Investors have raised concerns over efficiency of growth spending, noting that growth spend outpaced corresponding growth in in-force premium. The company reported a net loss of $43 million in Q2 2026, underscoring continued unprofitability despite revenue acceleration. LMND trades at a high beta of 2.68 with elevated volatility at 45.08% (20-day), amplifying downside risk in a bearish market regime (regime score -0.23). Next earnings report scheduled for November 4, 2026, creating binary event risk. Stock is down 50.73% from 52-week highs, signaling potential capitulation but also vulnerability to renewed selling if profitability targets slip. CFO transition in January 2027, while orderly, introduces leadership uncertainty at a critical inflection point.
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 LMND a good swing trade?
LMND scored 57 out of 98 on our inverse head and shoulders scan, with a 62% historical win probability over a 2-8 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 $49.22, with a conservative target of $51.85 and a stop loss at $43.13.
What would invalidate this inverse head and shoulders setup?
A close below the stop loss at $43.13 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
Finance Sector
Bullish 0.09
-1.0 0 +1.0
Overall Score
33 of 40
Strong
Pattern Quality
7 of 20
Weak
Setup
9 of 20
Weak
R/R
8 of 18
Weak
Context
Pattern Quality Score
9 of 15
Moderate
Structure
12 of 13
Exceptional
Breakout
12 of 12
Exceptional
Volume
Recent Performance
-4.1%
1W
-9.6%
2W
-6.6%
1M
-8.1%
3M
Momentum & Trend
RSI (14)
38.8
Neutral
MACD Histogram
+0.09
Bullish
Bollinger Band Position
2.7%
Lower Band
Volatility & Risk
20-Day Volatility
0.45
High
ATR %
4.5%
Medium
Beta
2.68
High Beta
Volume Analysis
Volume Ratio
1.55x
Very High
20-Day Avg Vol
969K
shares / day
Current Volume
1.5M
shares traded
Price Levels
52W High
$99.90
Target
$51.85
Current
$49.22
Support
$48.84
52W Low
$46.16
Stop Loss
$43.13
Resistance
$22.32
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.