Stock Comparison: SPGI vs UNH

Comparison Date : 2026-11-04

SPGI, UNH 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 SPGI UNH
MACD golden cross 59% (17×) 42% (24×)
MA20/MA60 golden cross 17% (6×) 40% (5×)
RSI oversold recovery 71% (7×) 77% (13×)

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
Financial Services
Financial Data & Stock Exchanges
Healthcare
Healthcare Plans

Last Price

Last 2 Month line
466.03
404.44

Market Cap

153.01B
364.7B

Dividend Yield

0.77
2.1

P E

Price-to-Earnings Ratio
39.22
16.77

E P S

Earnings Per Share
16.92
26.63

52W Change

Last year
17.35%
-18.64%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
505
↧38(8%)
433
↧28(7%)

Support

Key Price Level
426
↥-40(-9%)
375
↥-29(-7%)

Stop Loss

Short & Medium Term
446
-20(-4%)
389
-15(-4%)

Q_Bullish forecast

Quarterly Prediction
425
436

Q_Base forecast

Quarterly Prediction
387
407

Q_Bearish forecast

Quarterly Prediction
359
371

A_Bullish forecast

Annual Prediction
454
471

A_Base forecast

Annual Prediction
378
414

A_Bearish forecast

Annual Prediction
322
343

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
BUY

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
SELL

BOLL

Bollinger Bands
middle:ma20
BUY
BUY

RSI(14)

Relative Strength Index
BUY
BUY

ATR(14)

Average True Range
12.63
11.28

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
BUY
SELL

OBV(20)

On-Balance Volume
SELL
BUY

STOCH(K line)

Stochastic Oscillator
Overbought
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.