PGY: Bullish Pennant detected on 30 Apr 2026

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Overall Score
80 of 100
Strong
Win Probability
62%
Moderate
Reward / Risk
N/A : 1
$0.01 reward $-0.50 risk
Current Setup
PGY is forming a bullish pennant with a structure score of 15.0/15, volume score of 11.0/12, and breakout score of 13.0/13, yielding an overall pattern quality score of 80/98 with 61.58% win probability. The stock trades at $12.92, positioned between support at $10.82 and resistance at $15.57. Breakout target sits conservatively at $13.88, implying 7.4% upside. Volume ratio of 1.37x above 20-day average supports pattern formation. However, the stock sits 71.28% below its 52-week high, and technical indicators show RSI at neutral 48.24, with MACD histogram turning negative at -0.0387.
Stock Context
Fourth quarter 2025 fundamentals showed solid performance: $34 million GAAP net income (up $272 million year-over-year), $98 million adjusted EBITDA (up 53% YoY), and $335 million total revenue and other income (up 20% YoY). Pagaya achieved successful onboarding of four new institutional investors to the PAID platform, further diversifying the company's funding base. The company closed a $400 million auto ABS transaction and raised more than $8.5 billion in ABS across all transactions in 2025. Q1 2026 earnings are scheduled for May 7, 2026 — seven days from the pattern detection date, creating immediate catalytic risk. Capital market momentum accelerated into April with multiple large securitizations closed. Pattern forms as institutional funding pipeline validates platform strength.
What to Expect
A successful breakout through resistance at $15.57 would target $13.88 on conservative measurement, with higher potential if momentum accelerates. Volume confirmation critical: the setup requires sustained volume above the 1.37x ratio to validate directional conviction. Invalidation level sits at support $10.82; a close below this price negates the bullish pennant thesis and suggests weakness into the broader consolidation pattern. The 61.58% win probability indicates better-than-coin-flip odds, but elevated beta of 2.32 means moves amplify in both directions. Traders should note that breakout must occur soon given proximity to May 7 earnings event.
Risk Factors
Earnings announcement May 7, 2026 poses immediate event risk — only seven days away from pattern detection. Oppenheimer maintained a Buy rating on February 23, 2026, and a price target was lowered to $32 from $40 on February 12, 2026, suggesting downward analyst sentiment revision. Stock trades 71.28% below 52-week high, indicating severe technical damage; three-month performance shows -35.88% decline despite one-month gain of +17.99%, suggesting volatility without sustainable trend. Beta of 2.32 elevates systemic risk during market downturns. Negative MACD histogram at -0.0387 signals weakening momentum despite RSI neutrality at 48.24. Recent one-week loss of -11.02% contradicts pattern optimism, raising execution risk at current levels near key support.
Market & Sector Regime
Market
Bullish 0.80
-1.0 0 +1.0
Finance Sector
Bullish 0.45
-1.0 0 +1.0
Overall Score
39 of 40
Exceptional
Pattern Quality
16 of 20
Strong
Setup
11 of 20
Fair
R/R
14 of 18
Good
Context
Pattern Quality Score
15 of 15
Exceptional
Structure
13 of 13
Exceptional
Breakout
11 of 12
Exceptional
Volume
Recent Performance
-11.0%
1W
-9.0%
2W
+18.0%
1M
-35.9%
3M
Momentum & Trend
RSI (14)
48.2
Neutral
MACD Histogram
-0.04
Bearish
Bollinger Band Position
44.1%
Mid Zone
Volatility & Risk
20-Day Volatility
0.62
Very High
ATR %
6.3%
High
Beta
2.32
High Beta
Volume Analysis
Volume Ratio
1.37x
Above Avg
20-Day Avg Vol
3.2M
shares / day
Current Volume
4.4M
shares traded
Price Levels
52W High
$44.99
Resistance
$15.57
Target
$13.88
Current
$12.92
Stop Loss
$11.74
Support
$10.82
52W Low
$10.40
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.