Stock Comparison: UNH vs VRTX

Comparison Date : 2026-11-04

UNH, VRTX are showing a bullish technical setup.

Based on end-of-day indicators (RSI, MACD, moving averages, volume). Not investment advice.

VS VS

How these signals performed on each stock 20 trading-day horizon, since 2024-01-01

Signal UNH VRTX
MACD golden cross 42% (24×) 41% (29×)
MA20/MA60 golden cross 40% (5×) 50% (6×)
RSI oversold recovery 77% (13×) 100% (5×)

Win rate with number of historical occurrences in parentheses. A single occurrence is not evidence. Returns are gross of transaction costs. Full market-wide results: backtest.php. Not investment advice.

Basic Stock Information 2026-11-04

Sector

Industry
Healthcare
Healthcare Plans
Healthcare
Biotechnology

Last Price

Last 2 Month line
404.44
530.76

Market Cap

364.7B
128.24B

Dividend Yield

2.1
-

P E

Price-to-Earnings Ratio
16.77
N/A

E P S

Earnings Per Share
26.63
17.94

52W Change

Last year
-18.64%
24.38%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
433
↧28(7%)
581
↧50(9%)

Support

Key Price Level
375
↥-29(-7%)
480
↥-50(-9%)

Stop Loss

Short & Medium Term
389
-15(-4%)
505
-25(-5%)

Q_Bullish forecast

Quarterly Prediction
436
565

Q_Base forecast

Quarterly Prediction
407
529

Q_Bearish forecast

Quarterly Prediction
371
488

A_Bullish forecast

Annual Prediction
471
607

A_Base forecast

Annual Prediction
414
536

A_Bearish forecast

Annual Prediction
343
454

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
BUY

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
BUY

BOLL

Bollinger Bands
middle:ma20
BUY
BUY

RSI(14)

Relative Strength Index
BUY
BUY

ATR(14)

Average True Range
11.28
15.26

CCI(20)

Commodity Channel Index
BUY
BUY

SAR(20)

Parabolic Stop and Reverse
SELL
BUY

ADX(14)

Average Directional Index
SELL
NEUTRAL

OBV(20)

On-Balance Volume
BUY
SELL

STOCH(K line)

Stochastic Oscillator
Neutral
Neutral

These predictions are generated using a combination of technical analysis, fundamental factors, market sentiment indicators, and machine learning models trained on historical price data. Probabilities represent the likelihood of reaching the target price within the specified timeframe based on our models. All predictions are for informational purposes only and should not be considered as financial advice.