ORCL: Bull Flag detected on 14 May 2026

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

Browse all Bull Flag detections →

On 14 May 2026, our scan flagged ORCL as a bull flag setup scoring 83 out of 98 (Strong tier), with a 80% win probability based on our historical pattern database and a 2.5 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 $189.76, the conservative target is $196.02 with a stop at $176.44. A further breakout above resistance near $200.15 offers a larger move if momentum continues past the initial target.

Overall Score
83 of 98
Strong
Win Probability
80%
High
Reward / Risk
2.5 : 1
$3.58 reward $-1.41 risk
Swing Trading Plan
Entry
$189.76
Target
$196.02
Stop Loss
$176.44
Holding Period
Up to 10 trading days
Win Probability
80%
Current Setup
Oracle's fiscal third-quarter 2026 results exceeded expectations, forming a bull flag pattern at $189.76 after consolidation from earlier support. The structure scores a strong 15.0, with breakout quality at 11.8 and volume confirmation at 12.0, yielding an overall pattern score of 82.8. RSI at 61.93 indicates momentum without overbought conditions. The flag is positioned between key support at $180.87 and resistance at $200.15, with measured move target of $196.02 offering modest upside. Volume ratio of 0.55x average reflects lighter participation—a concern for pattern confirmation clarity.
Stock Context
Despite strong fiscal third-quarter results, Oracle's stock struggled to maintain gains after hotter-than-expected U.S. inflation data and broader weakness in technology stocks. The company is heavily investing in AI infrastructure, with projected capital expenditures reaching $50 billion by fiscal 2026. Oracle has advanced its AI and cloud ambitions with a classified U.S. Department of Defense AI contract, $16 billion in financing for a Michigan data center powering OpenAI applications, and clean-energy-powered Project Jupiter in New Mexico. Arete upgraded Oracle to Buy on May 7, and Q3 FY2026 EPS hit $1.79, beating estimates of $1.70; AI infrastructure revenue surged 243% year-over-year. Market sentiment is divided between AI infrastructure opportunity and capex spending concerns.
What to Expect
A successful breakout above $200.15 resistance would target the conservative measured move of $196.02, with potential extension to $205+ if momentum sustains. The 79.61% win probability suggests favorable historical precedent for bull flag completions. Volume confirmation critical—current 0.55x ratio is weak; breakout requires volume acceleration above 28.6M shares (20-day average) to validate pattern integrity. Invalidation occurs decisively below $180.87 support, where the prior consolidation low would be breached, negating the constructive setup.
Risk Factors
Oracle shares have resumed decline toward $180 due to rising U.S. inflation, with April CPI rising 3.8% year-over-year, exceeding economist forecasts. Investors are becoming more cautious about the scale of spending required to compete in the infrastructure race. Oracle has initiated significant layoffs across parts of its global workforce despite earnings strength, signaling margin pressure ahead. A very large $553 billion contracted backlog heavily tied to OpenAI highlights growing concentration and debt risks. Elevated leverage combined with macro uncertainty around interest rates and tech sector weakness creates vulnerability. Stock has declined 1.4% post-earnings despite beats, and technical rejection near $200 resistance suggests institutional caution persists.
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 ORCL a good swing trade?
ORCL scored 83 out of 98 on our bull flag scan, with a 80% historical win probability over the standard 10 trading day hold. Strong setup based on our systematic scoring.
What is the entry, target, and stop loss for this setup?
The setup's reference price is $189.76, with a conservative target of $196.02 and a stop loss at $176.44.
What would invalidate this bull flag setup?
A close below the stop loss at $176.44 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
Bullish 0.60
-1.0 0 +1.0
Technology Sector
Bullish 0.76
-1.0 0 +1.0
Other Patterns Detected Today
Ascending Triangle
25 days in pattern
Strong 34.5
Overall Score
39 of 40
Exceptional
Pattern Quality
18 of 20
Exceptional
Setup
13 of 20
Moderate
R/R
13 of 18
Good
Context
Pattern Quality Score
15 of 15
Exceptional
Structure
12 of 13
Exceptional
Breakout
12 of 12
Exceptional
Volume
Recent Performance
-2.2%
1W
+15.8%
2W
+16.4%
1M
+21.2%
3M
Momentum & Trend
RSI (14)
61.9
Neutral
MACD Histogram
+0.84
Bullish
Bollinger Band Position
72.5%
Upper Zone
Volatility & Risk
20-Day Volatility
0.53
Very High
ATR %
4.7%
Medium
Beta
0.90
Market
Volume Analysis
Volume Ratio
0.55x
Below Avg
20-Day Avg Vol
28.6M
shares / day
Current Volume
15.8M
shares traded
Price Levels
52W High
$343.02
Resistance
$200.15
Target
$196.02
Current
$189.76
Support
$180.87
Stop Loss
$176.44
52W Low
$134.57
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.