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DOW BW ACHC NEXN TNGX CCRN LYB CRC ATLC UNF

CCRN: Three White Soldiers detected on 6 Mar 2026

Overall Score

82 of 100

Strong

Win Probability

72%

High

Reward / Risk

2.3 : 1

$0.23 reward $-0.10 risk

Summary Context Technical Indicators

Current Setup

Cross Country Healthcare reported a material year-over-year revenue decrease and tightening margins, with fourth-quarter impairment charges largely resulting from the aborted merger. The stock is forming a three white soldiers pattern at $9.89, trading between support at $7.80 and resistance at $10.05. Structure score of 15.0, volume score of 12.0, and breakout score of 10.4 yield an overall score of 82.4. The strong performance metrics (volume ratio 4.19x average, +12.77% one-week gain) and 71.62% win probability suggest momentum is building despite challenged fundamentals.

Stock Context

Cross Country reported fourth-quarter earnings per share of ($0.06), missing analysts' consensus estimates of $0.03 by ($0.09). Q1 2026 revenue guidance of $235.0–$240.0 million falls below consensus estimate of $253.5 million. However, the company entered 2026 with no debt and a significant amount of cash, providing flexibility to invest in growth initiatives. Management expects to return to revenue and earnings growth by 2026. Consensus analyst rating is Hold with two Buy, six Hold, and one Sell rating, averaging a $11.38 price target. The failed Aya Healthcare merger clearance has removed uncertainty, allowing focus on operational execution.

What to Expect

A breakout above $10.05 resistance would target $10.46 (conservative measure), with volume confirmation needed above the 4.2x relative volume threshold currently shown. The 71.62% win probability suggests historical precedent for three white soldiers patterns in similar technical conditions. Invalidation occurs at support $7.80; a close below this level would negate the bullish setup and signal deeper weakness to $7.43 (52-week low). Volume has surged 4.19x average, providing strong confirmation for directional moves.

Risk Factors

Q1 2026 EPS guidance of -0.060 to 0.040 falls significantly below consensus of 0.030, indicating near-term earnings pressure. RSI at 72.32 is in overbought territory (>70), warning of potential pullback. The company reported a negative net margin of 1.39%, signaling profitability challenges. UBS dropped price target from $16.50 to $9.00 in December, while Weiss Ratings reaffirmed a sell rating. Consumer Discretionary sector trades in a bearish regime. Volatility elevated at 41.51% (20-day), though low beta (0.32) may limit downside. Stock remains 45.36% below 52-week highs—recovery story, not momentum play.

Market & Sector Regime

Market

Neutral 0.17

-1.0 0 +1.0

Consumer Discretionary Sector

Bearish 0.17

-1.0 0 +1.0

Other Patterns Detected Today

Bull Flag

49 days in pattern

Moderate 27.7

Ascending Triangle

20 days in pattern

Good 33.9

Post Collapse Recovery

61 days in pattern

Strong 34.0

Overall Score

37 of 40

Exceptional

Pattern Quality

18 of 20

Exceptional

Setup

15 of 20

Good

R/R

12 of 18

Moderate

Context

Pattern Quality Score

15 of 15

Exceptional

Structure

10 of 13

Good

Breakout

12 of 12

Exceptional

Volume

Recent Performance

+12.8%

+18.3%

+9.9%

-1.8%

Momentum & Trend

RSI (14)

72.3

Overbought

MACD Histogram

+0.11

Bullish

Bollinger Band Position

123.7%

Upper Band

Volatility & Risk

20-Day Volatility

0.42

High

ATR %

4.0%

Medium

Beta

0.32

Defensive

Volume Analysis

Volume Ratio

4.19x

Very High

20-Day Avg Vol

535K

shares / day

Current Volume

2.2M

shares traded

Price Levels

52W High

$18.10

Target

$10.46

Resistance

$10.05

Current

$9.89

Stop Loss

$8.99

Support

$7.80

52W Low

$7.43

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.