DKL: Inverse Head And Shoulders detected on 16 Sep 2026

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On 16 Sep 2026, our scan flagged DKL as a inverse head and shoulders setup scoring 54 out of 98 (Fair tier), with a 58% win probability based on our historical pattern database and a 0.94 to 1 risk to reward profile from the published levels. This is a swing trade setup: win probability reflects a multi-day swing hold, not an intraday move. At $56.69, the conservative target is $59.38 with a stop at $53.82.

Overall Score
54 of 98
Fair
Win Probability
58%
Low
Trade R:R
0.94 : 1
$2.69 to target $2.87 to stop
Swing Trading Plan
Entry
$56.69
Target
$59.38
Stop Loss
$53.82
Holding Period
2-7 trading days
Expected Return
+$0.62
Exp. Reward
+$1.23
Exp. Risk
-$0.61

Expected figures are probability-weighted from our historical pattern database; Trade R:R is measured from the entry, target and stop levels.

Current Setup
DKL has built positive momentum with a year-to-date return of 25.32%, and the inverse head-and-shoulders pattern is now forming with the stock at $56.69. The structure score of 12.0 and volume score of 11.0 suggest a modest technical foundation, while the breakout score of 5.0 indicates limited conviction in the immediate breakout phase. RSI at 56.04 shows neutral momentum without overbought conditions. The pattern targets a conservative move to $59.38 with key support at $53.16—a 5.3% upside/downside dynamic that reflects the cautious setup quality evident in the 54.0 overall score.
Stock Context
Q2 2026 delivered $384.76M revenue (up 56% YoY) but net income fell to $28.87M from $44.57M. The earnings missed consensus estimates despite robust revenue growth, and the stock declined 4.6% immediately following the August 5 release. However, record adjusted EBITDA was supported by Delaware crude gathering and higher utilization, with full-year 2026 EBITDA guidance reaffirmed. Analysts recently upgraded DKL to a Zacks Rank #1 based on improving earnings estimates, suggesting renewed conviction after the earnings beat/miss volatility. The 53rd consecutive quarterly distribution increase reinforces income appeal, underpinning the current stabilization and pattern formation.
What to Expect
A successful inverse head-and-shoulders breakout would drive DKL through the $59.38 target, with the win probability of 58.46% indicating a slightly better-than-even-odds outcome. Volume confirmation is critical: current volume at 125,037 shares trails the 20-day average of 139,877 (0.89 ratio), so a sustained move above resistance requires volume expansion to validate the setup. The invalidation level sits at key support of $53.16—a break below that price would signal pattern failure and suggest institutional distribution rather than accumulation. Given the modest breakout score of 5.0, traders should expect measured momentum rather than explosive acceleration.
Risk Factors
Operating leverage failed to materialize as expected despite the steep revenue increase, raising concerns about cost pressures and margin compression. The biggest risk remains balance sheet pressure if growth projects underperform, particularly as the elevated distribution increase sharpens focus on whether cash flows can keep pace with higher payouts. Analyst recommendations remain skewed toward hold and sell due to concerns about distribution sustainability and leverage levels. The negative beta of -0.29 indicates inverse market correlation, which could amplify losses if energy sector sentiment deteriorates. Volume trailing averages further weakens conviction; elevated volatility (15.47% 20-day) combined with modest breakout score suggests this setup lacks the aggressive institutional positioning needed for sustained trending.
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 DKL a good swing trade?
DKL scored 54 out of 98 on our inverse head and shoulders scan, with a 58% historical win probability over a 2-7 trading days hold. Fair setup based on our systematic scoring.
What is the entry, target, and stop loss for this setup?
The setup's reference price is $56.69, with a conservative target of $59.38 and a stop loss at $53.82.
What would invalidate this inverse head and shoulders setup?
A close below the stop loss at $53.82 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 inverse head and shoulders 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
Neutral -0.18
-1.0 0 +1.0
Energy Sector
Bullish 0.60
-1.0 0 +1.0
Overall Score
28 of 40
Good
Pattern Quality
9 of 20
Weak
Setup
9 of 20
Weak
R/R
8 of 18
Weak
Context
Pattern Quality Score
12 of 15
Strong
Structure
5 of 13
Weak
Breakout
11 of 12
Exceptional
Volume
Recent Performance
+1.6%
1W
+2.2%
2W
+5.0%
1M
+16.7%
3M
Momentum & Trend
RSI (14)
56.0
Neutral
MACD Histogram
+0.15
Bullish
Bollinger Band Position
81.4%
Upper Zone
Volatility & Risk
20-Day Volatility
0.15
Low
ATR %
1.8%
Low
Beta
-0.29
Defensive
Volume Analysis
Volume Ratio
0.89x
Average
20-Day Avg Vol
140K
shares / day
Current Volume
125K
shares traded
Price Levels
52W High
$60.32
Target
$59.38
Current
$56.69
Stop Loss
$53.82
Support
$53.16
Resistance
$40.26
52W Low
$38.80
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.