FLO: Ascending Triangle detected on 16 Jul 2026

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On 16 Jul 2026, our scan flagged FLO as a ascending triangle setup scoring 78 out of 98 (Good tier), with a 61% win probability based on our historical pattern database. This is a swing trade setup: win probability reflects a 10 trading day hold, not an intraday move. At $8.25, the conservative target is $8.58 with a stop at $7.84. A further breakout above resistance near $8.69 offers a larger move if momentum continues past the initial target.

Overall Score
78 of 98
Good
Win Probability
61%
Moderate
Reward / Risk
N/A : 1
$0.00 reward $-0.15 risk
Swing Trading Plan
Entry
$8.25
Target
$8.58
Stop Loss
$7.84
Holding Period
Up to 10 trading days
Win Probability
61%
Current Setup
Flowers Foods is forming an ascending triangle pattern with a structure score of 13.5/15, indicating well-defined higher lows meeting horizontal resistance at $8.69. The stock sits at $8.25, just 5.3% below key resistance, with a breakout score of 12.0/13 suggesting solid technical readiness. However, volume presents a constraint: relative volume stands at 0.43x average (3.4M vs. 7.9M 20-day average), flagging below-average conviction. RSI at 55.06 shows neutral momentum. The overall pattern quality scores 77.5/98, reflecting a moderately attractive setup hampered by weak volume confirmation.
Stock Context
Flowers Foods, a leading North American packaged foods company, operates in a structurally challenged sector facing persistent margin pressures from input cost inflation and shifting consumer preferences toward fresh, organic, and reduced-sugar products. The Consumer Staples sector regime is bearish (regime score -0.2), while the broader market remains bullish (0.59), creating cross-current dynamics. The stock trades 46.84% below its 52-week high of $15.63, suggesting prior enthusiasm has evaporated. Recent one-month performance shows modest +5.91% gains, but three-month returns are muted at +1.48%, indicating consolidation rather than sustained momentum. No major recent catalysts (earnings, product launches, or strategic announcements) appear in recent headlines, suggesting the pattern is forming in a quiet period without significant fundamental tailwinds.
What to Expect
A successful breakout above the $8.69 resistance level would target a conservative measured move of $8.58—a modest 3.9% move from current price, suggesting limited upside in this setup. This conservative target reflects the relatively shallow triangle amplitude. Volume confirmation is critical: breakout should occur on volume materially above the current 0.43x relative volume ratio to validate the move. Invalidation occurs at key support of $8.05, representing a 2.4% downside risk. The 60.95% win probability indicates better-than-coin-flip odds, but the tight risk-reward profile and weak volume backdrop suggest execution risk. A close below $8.05 would signal pattern failure.
Risk Factors
Volume is the primary concern—at 43% of 20-day average, this pattern lacks the institutional participation typically needed to drive sustained breakouts in packaged foods stocks. The sector regime is bearish (-0.2), directly opposing the stock's micro-bullish setup, creating headwind risk. Beta of 0.23 is defensively low, but combined with 20-day volatility of 50.97 basis points, suggests the stock is range-bound and prone to mean reversion. Packaged foods face structural headwinds from changing consumer diets and margin compression; no recent positive catalysts are evident to justify a sustained move. The stock's 46.84% distance from 52-week highs indicates prior enthusiasm has cooled significantly. Elevated short-term selling pressure (one-week performance: -1.43%) contradicts the bullish setup, flagging potential continuation of weakness if breakout fails.
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 FLO a good swing trade?
FLO scored 78 out of 98 on our ascending triangle scan, with a 61% 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 $8.25, with a conservative target of $8.58 and a stop loss at $7.84.
What would invalidate this ascending triangle setup?
A close below the stop loss at $7.84 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 ascending 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 0.60
-1.0 0 +1.0
Consumer Staples Sector
Bearish -0.20
-1.0 0 +1.0
Overall Score
37 of 40
Exceptional
Pattern Quality
18 of 20
Exceptional
Setup
9 of 20
Weak
R/R
14 of 18
Good
Context
Pattern Quality Score
14 of 15
Exceptional
Structure
12 of 13
Exceptional
Breakout
11 of 12
Exceptional
Volume
Recent Performance
-1.4%
1W
+4.4%
2W
+5.9%
1M
+1.5%
3M
Momentum & Trend
RSI (14)
55.1
Neutral
MACD Histogram
+0.01
Bullish
Bollinger Band Position
63.0%
Mid Zone
Volatility & Risk
20-Day Volatility
0.51
Very High
ATR %
4.2%
Medium
Beta
0.23
Defensive
Volume Analysis
Volume Ratio
0.43x
Below Avg
20-Day Avg Vol
7.9M
shares / day
Current Volume
3.4M
shares traded
Price Levels
52W High
$15.52
Resistance
$8.69
Target
$8.58
Current
$8.25
Support
$8.05
Stop Loss
$7.84
52W Low
$6.69
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.