ANF: Symmetrical Triangle detected on 2 Apr 2026

All prices, scores, and news on this page reflect data available before market open on .

Overall Score
78 of 100
Good
Win Probability
66%
Moderate
Reward / Risk
0.8 : 1
$1.57 reward $-1.94 risk
Current Setup
ANF is forming a symmetrical triangle after a 17-day post-collapse recovery. The pattern shows moderate structure quality (13/15) with price compressed between 87.44 support and 87.89 resistance—a tight 0.55-point range. Current price at 94.26 sits 44% above the 52-week low, suggesting recovery momentum. Volume support scores 10/12, though recent relative volume at 0.75x average indicates caution. The overall 78/98 score and 66% win probability suggest a valid but not exceptional setup. RSI at 57 indicates neutral momentum, neither overbought nor oversold.
Stock Context
Abercrombie & Fitch has faced significant headwinds over the past three months, declining 26.1% despite a recent 6.45% one-week bounce. The stock trades in a bearish sector regime (-0.33 score) as Consumer Discretionary faces macro pressures. ANF's high beta of 1.57 amplifies broader market volatility—the stock is 29% below its 52-week high, reflecting weakened consumer spending on discretionary apparel. Recent two-week gains of 9.64% suggest tactical short-covering or reversal buying into oversold levels, but the one-month loss of 5% shows the recovery lacks conviction. Sector headwinds for apparel retail persist as consumer spending shifts away from clothing toward services and discretionary purchases remain under pressure.
What to Expect
A successful breakout above 87.89 resistance would target 100.53 conservatively—a 6.65% move from current price—with measured move potential higher if volume confirms above 20-day average (currently at 1.38M shares). The 66% win probability indicates breakout success is more likely than failure, but conviction requires volume expansion near breakout. Invalidation occurs if price closes below 87.44 support; a breakdown would negate the recovery pattern and likely test lower 2026 lows. The tight consolidation structure suggests explosive movement once directional clarity emerges.
Risk Factors
ANF faces multiple headwinds despite the technical setup. Beta of 1.57 means equity market weakness disproportionately impacts the stock; current bullish regime score of 0.23 suggests fragile overall market support. Volume at 0.75x average is notably weak—below-average participation during recovery raises risk of failed breakout or flash reversal. The one-month loss of 5% despite recent gains signals underlying weakness; recovery could be short-covering rather than institutional buying conviction. Consumer Discretionary sector remains bearish (-0.33 regime), and apparel retail faces structural headwinds from weak consumer spending. Watch for any April earnings reports or Q1 guidance cuts that could reignite selling pressure.
Market & Sector Regime
Market
Bullish 0.23
-1.0 0 +1.0
Consumer Discretionary Sector
Bearish -0.33
-1.0 0 +1.0
Other Patterns Detected Today
Post Collapse Recovery
17 days in pattern
Moderate 28.0
Overall Score
35 of 40
Strong
Pattern Quality
18 of 20
Exceptional
Setup
13 of 20
Moderate
R/R
12 of 18
Moderate
Context
Pattern Quality Score
13 of 15
Strong
Structure
12 of 13
Exceptional
Breakout
10 of 12
Strong
Volume
Recent Performance
+6.5%
1W
+9.6%
2W
-5.0%
1M
-26.1%
3M
Momentum & Trend
RSI (14)
57.4
Neutral
MACD Histogram
+0.96
Bullish
Bollinger Band Position
113.1%
Upper Band
Volatility & Risk
20-Day Volatility
0.47
High
ATR %
4.0%
Medium
Beta
1.57
High Beta
Volume Analysis
Volume Ratio
0.75x
Below Avg
20-Day Avg Vol
1.4M
shares / day
Current Volume
1.0M
shares traded
Price Levels
52W High
$133.12
Target
$100.53
Current
$94.26
Resistance
$87.89
Support
$87.44
Stop Loss
$86.14
52W Low
$65.40
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.