CSL: Double Bottom detected on 23 Oct 2026

All prices, scores, and news on this page reflect data available before market open on .

Browse all Double Bottom detections →

On 23 Oct 2026, our scan flagged CSL 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 0.60 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 $352.60, the conservative target is $369.30 with a stop at $324.78. A further breakout above resistance near $391.96 offers a larger move if momentum continues past the initial target.

Overall Score
67 of 98
Moderate
Win Probability
63%
Moderate
Trade R:R
0.60 : 1
$16.70 to target $27.82 to stop
Swing Trading Plan
Entry
$352.60
Target
$369.30
Stop Loss
$324.78
Holding Period
2-7 trading days
Expected Return
+$4.10
Exp. Reward
+$8.27
Exp. Risk
-$4.17

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

Current Setup
CSL is forming a double-bottom pattern with support anchored at $312.55 and resistance at $391.96. The current price of $352.60 sits between these levels after a three-white-soldiers continuation pattern emerged on October 20th. The overall pattern quality scores 67.02/98, with solid volume (12.0/12) and acceptable structure (12.19/15), though breakout strength is moderate at 10.83/13. The stock has gained 9.76% over two weeks with normal relative volume of 0.98x average. RSI of 64.55 indicates room to push higher without overbought conditions.
Stock Context
CSL is scheduled to report Q3 2026 earnings on October 28th with analyst expectations of $5.89 EPS and $1.43 billion in revenue. The company beat expectations last quarter in July, posting $7.03 EPS versus $6.35 consensus and $1.57 billion in revenue. Q2 delivered record revenue of $1.6 billion up 8% year-over-year and record adjusted EPS of $7.03 up 12%. Management raised its full-year 2026 revenue outlook to mid-single-digit growth with adjusted EBITDA margins expected flat. However, supply chain disruptions from Middle East conflict led to elevated MDI costs, and CWT segment margins declined 90 basis points, with weak new construction markets. The company increased its dividend for the 50th consecutive year in August.
What to Expect
A successful breakout above the $391.96 resistance would target $369.30 on the conservative measured move—though the upper resistance level itself represents the more aggressive target. Historical double-bottoms at this quality level (win probability 63.08%) typically see 5-7% gains on breakout confirmation. Volume breakout confirmation should exceed the 426,850 daily average (current relative volume near 0.98x needs acceleration above 1.3x). The setup invalidates below $312.55 support, which would signal the pattern failed and suggest a deeper pullback.
Risk Factors
Critical near-term risk: Q3 earnings release on October 28, 2026 occurs just five days after this analysis date—volatility could disrupt the pattern ahead of results. Middle East supply chain disruptions continue impacting margins, creating fundamental uncertainty. The industrial sector trades in a bearish regime (-0.06 score) while the stock itself shows higher beta of 2.11, amplifying downside if broader market sentiment shifts. Stock trades 17.78% below its 52-week high, suggesting previous resistance exists overhead. With adjusted EBITDA margins expected flat year-over-year and new construction declining, topline growth may be challenged if cost pressures persist.
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 CSL a good swing trade?
CSL 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 $352.60, with a conservative target of $369.30 and a stop loss at $324.78.
What would invalidate this double bottom setup?
A close below the stop loss at $324.78 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 0.96
-1.0 0 +1.0
Industrials Sector
Bearish -0.06
-1.0 0 +1.0
Other Patterns Detected Today
Three White Soldiers
3 days in pattern
Weak 20.3
Overall Score
35 of 40
Strong
Pattern Quality
14 of 20
Good
Setup
11 of 20
Fair
R/R
7 of 18
Weak
Context
Pattern Quality Score
12 of 15
Strong
Structure
11 of 13
Strong
Breakout
12 of 12
Exceptional
Volume
Recent Performance
+5.1%
1W
+9.8%
2W
+8.8%
1M
+5.3%
3M
Momentum & Trend
RSI (14)
64.6
Neutral
MACD Histogram
+3.16
Strong Bullish
Bollinger Band Position
121.2%
Upper Band
Volatility & Risk
20-Day Volatility
0.28
Moderate
ATR %
3.0%
Medium
Beta
2.11
High Beta
Volume Analysis
Volume Ratio
0.98x
Average
20-Day Avg Vol
427K
shares / day
Current Volume
420K
shares traded
Price Levels
52W High
$428.85
Resistance
$391.96
Target
$369.30
Current
$352.60
Stop Loss
$324.78
Support
$312.55
52W Low
$290.68
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.