RL: Bullish Pennant detected on 1 Jul 2026

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On 1 Jul 2026, our scan flagged RL as a bullish pennant setup scoring 73 out of 98 (Good tier), with a 59% win probability based on our historical pattern database and a 0.4 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 $401.41, the conservative target is $431.37 with a stop at $375.08.

Overall Score
73 of 98
Good
Win Probability
59%
Low
Reward / Risk
0.4 : 1
$4.53 reward $-10.75 risk
Swing Trading Plan
Entry
$401.41
Target
$431.37
Stop Loss
$375.08
Holding Period
Up to 10 trading days
Win Probability
59%
Current Setup
Ralph Lauren is trading at $401.41 amid full-year 2026 results showing EPS of $15.43 (up from $11.87) and revenue of $8.11B (up 15%). The bullish pennant structure shows solid formation quality with structure score of 14.0 and volume score of 12.0, though breakout momentum is moderate at 10.0. The pattern sits between support at $354.14 and resistance at $420.58, leaving 4.75% upside to the consolidation ceiling. RSI at 56.48 indicates neutral positioning—neither overbought nor oversold—suggesting room for directional movement. Overall score of 73 and win probability of 59.34% reflect a respectable but not exceptional technical setup.
Stock Context
Ralph Lauren posted a Q4 EPS beat on May 21, 2026, with the stock jumping 10.26% after beating Q4 consensus with bullish FY27 guidance on margins and Asia growth. The headline tension in 2026 retail is that lower-income shoppers are pulling back while affluent buyers keep spending—Ralph Lauren is built for exactly that split because luxury and aspirational customers are less rate-sensitive. Average unit retail rose again this quarter, meaning customers paid more per item, representing the cleanest measurable proof of brand pricing power. Analysts remain bullish due to strong brand momentum, with consensus analyst price target at $339.24, reinforced by high-profile celebrity endorsements like Taylor Swift and Travis Kelce. The 12-month average price target is $429.56, and Barclays raised its target to $439 with an Overweight rating.
What to Expect
A dividend of $1.00 is payable July 10, 2026, with ex-date June 26, 2026, which may provide technical support. A successful bullish pennant breakout from $420.58 resistance would target $431.37 on the conservative measure—representing 7.5% upside from current levels. Volume confirmation is essential; current volume of 535,310 shares trades 72% of the 20-day average of 738,717, suggesting conviction has waned into this pattern. The setup invalidates decisively on a close below key support at $354.14 (12.0% downside), which would signal abandonment of the bullish structure. With a 59.34% historical win rate, the risk/reward asymmetry slightly favors buyers on a break above $420.58.
Risk Factors
Management noted tariff headwinds and stepped-up marketing investment could create modest Q4 operating margin contraction. The stock's beta of 1.64 indicates 64% more volatility than the broad market, amplifying drawdown risk during sector or macro selloffs. Current volume of 535,310 shares (72% of average) shows declining participation into the pennant, raising the possibility this consolidation breaks lower or fizzles without volume confirmation. EPS missed analyst estimates by 1.2% in the latest report, introducing execution risk despite revenue beats. The stock sits at $401.41, only 4.56% below the 52-week high of $421.60, leaving limited margin of safety if macro conditions shift or earnings growth slows. MACD histogram at -0.5585 shows weakening momentum despite the bullish chart structure.
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 RL a good swing trade?
RL scored 73 out of 98 on our bullish pennant scan, with a 59% historical win probability over the standard 10 trading day hold. Good setup based on our systematic scoring.
What is the entry, target, and stop loss for this setup?
The setup's reference price is $401.41, with a conservative target of $431.37 and a stop loss at $375.08.
What would invalidate this bullish pennant setup?
A close below the stop loss at $375.08 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 bullish pennant 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
Bullish 0.87
-1.0 0 +1.0
Other Patterns Detected Today
Inverse Head And Shoulders
34 days in pattern
Moderate 27.0
Overall Score
36 of 40
Exceptional
Pattern Quality
11 of 20
Fair
Setup
11 of 20
Fair
R/R
15 of 18
Strong
Context
Pattern Quality Score
14 of 15
Exceptional
Structure
10 of 13
Good
Breakout
12 of 12
Exceptional
Volume
Recent Performance
-1.1%
1W
-2.4%
2W
+10.6%
1M
+23.2%
3M
Momentum & Trend
RSI (14)
56.5
Neutral
MACD Histogram
-0.56
Bearish
Bollinger Band Position
60.6%
Mid Zone
Volatility & Risk
20-Day Volatility
0.36
High
ATR %
3.3%
Medium
Beta
1.64
High Beta
Volume Analysis
Volume Ratio
0.72x
Below Avg
20-Day Avg Vol
739K
shares / day
Current Volume
535K
shares traded
Price Levels
Target
$431.37
52W High
$420.59
Resistance
$420.58
Current
$401.41
Stop Loss
$375.08
Support
$354.14
52W Low
$263.38
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.