FROG: Inverse Head And Shoulders detected on 6 Apr 2026

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Overall Score
74 of 100
Good
Win Probability
64%
Moderate
Reward / Risk
0.8 : 1
$0.55 reward $-0.67 risk
Current Setup
JFrog is forming an inverse head-and-shoulders recovery pattern after a significant decline, with the neckline at resistance around 39.58. The structure score of 13/15 indicates a well-defined three-pivot low formation, supported by strong volume metrics (12/12) and a solid breakout score (12/13). The stock trades at 50.61, up 29.14% in one month, positioned 87.44% above its 52-week low. RSI at 62.15 shows moderate momentum without overbought extremes, and the MACD histogram remains positive at 0.96, suggesting continued bullish structure.
Stock Context
JFrog operates in the software development platform space, providing continuous software release management solutions. The company faced headwinds in 2025-2026 amid broader software sector weakness, declining 18.97% over three months before the recent recovery began. The post-collapse recovery pattern (34.0 quality score, 27 days) and prior bull flag (32.08 quality score, 29 days formed Feb 20) indicate institutional accumulation. The Technology sector remains in bearish regime (-0.43 score), but JFrog's recent 16.45% two-week gain suggests relative strength outperformance as the company stabilizes. The inverse H&S pattern typically forms after capitulation selling when market structure shifts.
What to Expect
A successful breakout above the 39.58 neckline resistance would target 53.01 conservatively (4.7% upside from current 50.61), with initial secondary targets near the prior cycle highs. Historical inverse H&S patterns show 64.49% win probability, indicating above-average pattern reliability. Volume confirmation is critical—current volume ratio of 0.92 is slightly below average, so a breakout on above-trend volume (>3.3M shares) would strengthen conviction. Invalidation occurs at the key_support level of 41.0; a close below this price would negate the recovery structure and signal resumption of downtrend.
Risk Factors
JFrog operates in a bearish Technology sector (-0.43 regime) during a broader bearish market (-0.4), creating macro headwinds despite the bullish pattern. Beta of 1.1 indicates 10% higher volatility than the market—the 20-day volatility of 66.63% is elevated, increasing whipsaw risk. Volume is concerning: the 0.92 relative volume suggests weak conviction, with current volume trailing 20-day average by 8%, raising breakout confirmation risk. Three-month performance of -18.97% shows this is a recovery within a downtrend; if broader sector pressure resumes, the pattern could fail quickly at support. No recent earnings or catalyst catalysts identified; lack of newsflow in a distressed-recovery scenario increases uncertainty around durability of the rebound.
Market & Sector Regime
Market
Bearish -0.40
-1.0 0 +1.0
Technology Sector
Bearish -0.44
-1.0 0 +1.0
Other Patterns Detected Today
Bull Flag
29 days in pattern
Good 32.1
Post Collapse Recovery
27 days in pattern
Strong 34.0
Overall Score
37 of 40
Exceptional
Pattern Quality
20 of 20
Exceptional
Setup
13 of 20
Moderate
R/R
4 of 18
Weak
Context
Pattern Quality Score
13 of 15
Strong
Structure
12 of 13
Exceptional
Breakout
12 of 12
Exceptional
Volume
Recent Performance
+7.9%
1W
+16.4%
2W
+29.1%
1M
-19.0%
3M
Momentum & Trend
RSI (14)
62.2
Neutral
MACD Histogram
+0.96
Bullish
Bollinger Band Position
112.1%
Upper Band
Volatility & Risk
20-Day Volatility
0.67
Very High
ATR %
6.0%
High
Beta
1.10
Market
Volume Analysis
Volume Ratio
0.92x
Average
20-Day Avg Vol
3.0M
shares / day
Current Volume
2.8M
shares traded
Price Levels
52W High
$70.43
Target
$53.01
Current
$50.61
Stop Loss
$46.84
Support
$41.00
Resistance
$39.58
52W Low
$27.00
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.