C: Falling Wedge detected on 17 Aug 2026

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On 17 Aug 2026, our scan flagged C as a falling wedge setup scoring 73 out of 98 (Good tier), with a 59% win probability based on our historical pattern database and a 1.4 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 $139.33, the conservative target is $145.23 with a stop at $134.30.

Overall Score
73 of 98
Good
Win Probability
59%
Low
Reward / Risk
1.4 : 1
$1.57 reward $-1.09 risk
Swing Trading Plan
Entry
$139.33
Target
$145.23
Stop Loss
$134.30
Holding Period
Up to 10 trading days
Win Probability
59%
Current Setup
Citigroup is forming a falling wedge pattern with textbook structure (15/15 score) and solid volume mechanics (12/12). The stock sits at $139.33, compressed between resistance at $137.71 and support at $125.70—a 9.6% range. Breakout quality scores 13/13, suggesting tight consolidation and defined directional potential. The stock has rallied 6.32% over one month and sits 56.89% above its 52-week low, positioning it near the upper half of its annual range. RSI at 59.45 shows room for upside without overbought conditions. The wedge setup delivers a 73/100 overall score with 59% win probability, indicating moderate-to-good historical success rates for this pattern type.
Stock Context
Citigroup operates in a broadly bullish sector regime (Finance, 0.59 regime score), supported by expectations around Fed policy normalization and bank rate dynamics. The banking sector has benefited from potential interest rate stabilization in 2026. C trades with elevated beta (1.51), making it more volatile than market indices—a key factor in wedge patterns. The stock's recent 12.18% three-month gain reflects institutional interest. Volume has moderated recently (relative volume 0.7, below 20-day average of 9.76M shares), typical of late-stage consolidation. The bullish market regime (0.9 score) provides tailwind for breakout attempts. Recent earnings and regulatory developments would influence near-term momentum; however, the falling wedge structure suggests bulls are wrestling control away from bears within a narrowing price band.
What to Expect
A successful upside breakout above $137.71 would target $145.23 conservatively—a 4.2% move from current levels and 5.4% above resistance. Historical falling wedge patterns carry 59% upside win probability. Volume confirmation matters critically: breakout strength requires volume to exceed the 20-day average of 9.76M shares, breaking through the recent 0.7x relative volume weakness. The invalidation level sits at key support of $125.70; a daily close below this level would negate the wedge setup and signal pattern failure. ATR of 3.21 (2.3% of price) provides a realistic intraday noise filter for false breakouts.
Risk Factors
Elevated beta of 1.51 amplifies volatility risk—wedge breakouts can whipsaw in high-beta names. Volume has declined 30% below average, weakening breakout reliability; if volume stays depressed on a breakout attempt, follow-through may falter. The stock remains 5.36% below its 52-week high, suggesting potential resistance overhead beyond the wedge target. Macro risks loom: any shift in Fed policy expectations or recession concerns could reverse the bullish financial sector regime. Banking stocks face regulatory scrutiny; adverse regulatory announcements could trigger sharp reversals. MACD histogram is positive but modest at 0.7184, suggesting momentum is building but not yet robust. No search results returned specific near-term earnings or material catalysts, leaving pattern vulnerable to headline risk. Sector regime score of 0.59, while bullish, is moderate rather than strongly bullish, limiting upside convictions.
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 C a good swing trade?
C scored 73 out of 98 on our falling wedge scan, with a 59% 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 $139.33, with a conservative target of $145.23 and a stop loss at $134.30.
What would invalidate this falling wedge setup?
A close below the stop loss at $134.30 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 falling wedge 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 0.60
-1.0 0 +1.0
Overall Score
40 of 40
Exceptional
Pattern Quality
14 of 20
Good
Setup
11 of 20
Fair
R/R
8 of 18
Weak
Context
Pattern Quality Score
15 of 15
Exceptional
Structure
13 of 13
Exceptional
Breakout
12 of 12
Exceptional
Volume
Recent Performance
+3.2%
1W
+5.7%
2W
+6.3%
1M
+12.2%
3M
Momentum & Trend
RSI (14)
59.5
Neutral
MACD Histogram
+0.72
Bullish
Bollinger Band Position
92.0%
Upper Band
Volatility & Risk
20-Day Volatility
0.28
Moderate
ATR %
2.3%
Medium
Beta
1.51
High Beta
Volume Analysis
Volume Ratio
0.70x
Below Avg
20-Day Avg Vol
9.8M
shares / day
Current Volume
6.8M
shares traded
Price Levels
52W High
$147.22
Target
$145.23
Current
$139.33
Resistance
$137.71
Stop Loss
$134.30
Support
$125.70
52W Low
$88.81
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.