PYPL: Bull Flag detected on 25 Aug 2026

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On 25 Aug 2026, our scan flagged PYPL as a bull flag setup scoring 71 out of 98 (Good tier), with a 72% win probability based on our historical pattern database and a 1.8 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 $61.68, the conservative target is $63.72 with a stop at $58.29.

Overall Score
71 of 98
Good
Win Probability
72%
High
Reward / Risk
1.8 : 1
$0.94 reward $-0.53 risk
Swing Trading Plan
Entry
$61.68
Target
$63.72
Stop Loss
$58.29
Holding Period
Up to 10 trading days
Win Probability
72%
Current Setup
PYPL is forming a bull flag pattern at $61.68, well above the key support level of $56.57 with resistance at $59.47. The structure score of 14.6/15 reflects excellent pattern definition, though the breakout score of 9.8/13 suggests price action remains tentative. Volume is running 22% below the 20-day average at 8.6M shares, indicating weak participation during this consolidation. The overall score of 71.4/98 and 71.94% win probability indicate a solid but not exceptional setup. RSI at 69.47 signals the stock is approaching overbought conditions. The bull flag suggests a measured move target of $63.72, only 3.3% above current price.
Stock Context
PayPal reported Q2 2026 results on July 28, 2026, with management noting progress on transformation initiatives, stabilization in branded checkout, and raising full-year non-GAAP guidance. The company executed a strategic reorganization in April 2026 transitioning to a simplified three-business operating model: Checkout Solutions & PayPal, Consumer Financial Services & Venmo, and Payment Services & Crypto. Leadership transitions included appointing Enrique Lores as CEO effective March 1, 2026. The next earnings report is scheduled for October 27, 2026. PayPal is experiencing renewed investor interest following solid Q2 results, with notable investor David Einhorn recently taking a stake. These positive catalysts—raised guidance, strategic restructuring, and renewed institutional interest—are driving the 39.9% three-month gain that set up this bull flag.
What to Expect
A successful bull flag breakout targets $63.72 (conservative measurement), representing a 3.3% move from current levels. Historical bull flag data suggests breakouts require sustained volume above the 10.9M average to confirm conviction; current volume of 8.6M indicates traders await triggering catalysts. Invalidation occurs below the key support level of $56.57, marking a 8.3% stop-loss from current price. The 71.94% win probability supports pattern reliability, though the low measured move and elevated RSI suggest limited upside expansion unless broader sector conditions improve or new company catalysts emerge post-pattern completion.
Risk Factors
The Industrials sector is in a bearish regime (score -0.25) while overall market regime is bearish (-0.28), creating headwinds for breakout confirmation despite positive company-specific news. RSI at 69.47 indicates the stock is nearing overbought levels, leaving minimal room for momentum-driven strength before mean reversion. Volume deterioration is a red flag—at 78% of average—suggesting institutional capital is cautious despite raised guidance, potentially indicating uncertainty about execution risk. PayPal's most recent quarter missed earnings expectations, posting $1.278 EPS versus $1.38 consensus, indicating operational challenges beneath the surface. With earnings nearly two months away (October 27), there is extended execution risk. The extremely low beta of 0.13 suggests limited upside leverage to risk-on rallies and magnified downside in defensive rotations.
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 PYPL a good swing trade?
PYPL scored 71 out of 98 on our bull flag scan, with a 72% 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 $61.68, with a conservative target of $63.72 and a stop loss at $58.29.
What would invalidate this bull flag setup?
A close below the stop loss at $58.29 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 bull flag 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 -0.28
-1.0 0 +1.0
Industrials Sector
Bearish -0.25
-1.0 0 +1.0
Other Patterns Detected Today
Ascending Triangle
50 days in pattern
Good 30.5
Rounding Bottom
180 days in pattern
Moderate 27.0
Overall Score
37 of 40
Exceptional
Pattern Quality
14 of 20
Good
Setup
13 of 20
Moderate
R/R
8 of 18
Weak
Context
Pattern Quality Score
15 of 15
Exceptional
Structure
10 of 13
Good
Breakout
12 of 12
Exceptional
Volume
Recent Performance
+2.0%
1W
+4.4%
2W
+9.8%
1M
+39.9%
3M
Momentum & Trend
RSI (14)
69.5
Neutral
MACD Histogram
-0.18
Bearish
Bollinger Band Position
83.7%
Upper Zone
Volatility & Risk
20-Day Volatility
0.25
Moderate
ATR %
2.4%
Medium
Beta
0.13
Defensive
Volume Analysis
Volume Ratio
0.78x
Below Avg
20-Day Avg Vol
11.0M
shares / day
Current Volume
8.6M
shares traded
Price Levels
52W High
$78.54
Target
$63.72
Current
$61.68
Resistance
$59.47
Stop Loss
$58.29
Support
$56.57
52W Low
$38.22
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.