SSB: Symmetrical Triangle detected on 8 Jun 2026

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On 8 Jun 2026, our scan flagged SSB as a symmetrical triangle setup scoring 73 out of 98 (Good tier), with a 64% win probability based on our historical pattern database and a 1.9 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 $95.32, the conservative target is $99.64 with a stop at $92.73.

Overall Score
73 of 98
Good
Win Probability
64%
Moderate
Reward / Risk
1.9 : 1
$1.41 reward $-0.73 risk
Swing Trading Plan
Entry
$95.32
Target
$99.64
Stop Loss
$92.73
Holding Period
Up to 10 trading days
Win Probability
64%
Current Setup
SSB is forming a symmetrical triangle after posting strong Q1 2026 results on April 23, with current price at 95.32 sitting between key support at 92.38 and resistance at 93.94. The structure score of 11/15 and volume score of 11/12 indicate a solid technical formation, though not pristine—volume is running 15% below the 20-day average at 566k shares. The breakout score of 12/13 suggests the pattern has defined edges. The 63.65% win probability implies this setup has reasonable odds if pattern integrity holds. An upside measured move target sits at 99.64.
Stock Context
In Q1 2026, SouthState reported net income of $225.8 million, diluted EPS of $2.28, a 1.37% return on average assets, and a 14% year-over-year increase in tangible book value per share. Annualized loan growth accelerated 7% and deposits grew 5%, with asset quality remaining strong at just 9 basis points net charge-offs. The integration of the Independent Financial acquisition expanded SSB into Texas and Colorado while establishing commercial banking teams in Tennessee. Post-earnings in late April, multiple analysts adjusted price targets: TD Cowen cut target from $117 to $114, Truist from $110 to $108, and Barclays from $126 to $123, though all maintained Buy/Overweight ratings. The consensus analyst price target sits around $118.85. This strong fundamentals-driven price action combined with recent target adjustments suggests the consolidation reflects earnings digestion rather than deteriorating sentiment.
What to Expect
A breakout from the symmetrical triangle would target 99.64 (conservative measure move based on triangle height), representing ~4.5% upside from current levels. Volume confirmation matters given the 15% below-average readings—a successful breakout would require volume expansion back to or above the 664k 20-day average, ideally on directional conviction. The $0.60 quarterly dividend payable May 15 has already been distributed, removing near-term dividend volatility. The 63.65% historical win probability suggests this pattern succeeds roughly two-thirds of the time. Invalidation occurs at support 92.38; a break below that level would signal pattern failure and likely prompt a retest of lower support zones.
Risk Factors
Volume remains muted at 85% of the 20-day average, creating potential for a false breakout if institutional participation doesn't materialize. Analyst price target reductions in late April reflected deposit competition headwinds and geopolitical concerns including the Iran conflict. Macro risks include geopolitical tensions, yield curve uncertainty, and stagflation concerns. The stock has underperformed its 52-week high by 11.57%, and insider selling activity was noted with a Form 4 filed April 28 indicating intent to sell 14k shares within 90 days. RSI at 52.47 shows neutral momentum—neither overbought nor oversold—limiting technical tailwind. The sector Finance is bullish (regime score 0.69), but regional bank valuations remain compressed, and net interest margin guidance was revised lower post-earnings due to deposit competition.
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 SSB a good swing trade?
SSB scored 73 out of 98 on our symmetrical triangle scan, with a 64% 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 $95.32, with a conservative target of $99.64 and a stop loss at $92.73.
What would invalidate this symmetrical triangle setup?
A close below the stop loss at $92.73 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 symmetrical triangle 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 0.90
-1.0 0 +1.0
Finance Sector
Bullish 0.69
-1.0 0 +1.0
Overall Score
34 of 40
Strong
Pattern Quality
12 of 20
Moderate
Setup
13 of 20
Moderate
R/R
14 of 18
Good
Context
Pattern Quality Score
11 of 15
Good
Structure
12 of 13
Exceptional
Breakout
11 of 12
Exceptional
Volume
Recent Performance
+0.6%
1W
+1.6%
2W
-2.8%
1M
+1.4%
3M
Momentum & Trend
RSI (14)
52.5
Neutral
MACD Histogram
+0.11
Bullish
Bollinger Band Position
77.5%
Upper Zone
Volatility & Risk
20-Day Volatility
0.25
Moderate
ATR %
2.0%
Low
Beta
1.12
Market
Volume Analysis
Volume Ratio
0.85x
Average
20-Day Avg Vol
664K
shares / day
Current Volume
567K
shares traded
Price Levels
52W High
$107.79
Target
$99.64
Current
$95.32
Resistance
$93.94
Stop Loss
$92.73
Support
$92.38
52W Low
$82.47
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.