Stock Comparison: CCJ vs KMB

Comparison Date : 2026-11-04

CCJ, KMB are showing a bearish 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 CCJ KMB
MACD golden cross 47% (19×) 50% (22×)
MA20/MA60 golden cross 60% (5×) 17% (6×)
RSI oversold recovery 67% (3×) 62% (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
Energy
Uranium
Consumer Defensive
Household & Personal Products

Last Price

Last 2 Month line
72.56
104.46

Market Cap

19.81B
43.09B

Dividend Yield

0.25
3.88

P E

Price-to-Earnings Ratio
162.53
17.69

E P S

Earnings Per Share
1.1
7.1

52W Change

Last year
-5.99%
-4.57%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
83
↧10(14%)
114
↧9(9%)

Support

Key Price Level
61
↥-11(-15%)
94
↥-10(-10%)

Stop Loss

Short & Medium Term
78
5(7%)
109
4(4%)

Q_Bullish forecast

Quarterly Prediction
93
105

Q_Base forecast

Quarterly Prediction
80
95

Q_Bearish forecast

Quarterly Prediction
70
89

A_Bullish forecast

Annual Prediction
103
113

A_Base forecast

Annual Prediction
77
91

A_Bearish forecast

Annual Prediction
57
80

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
SELL

BOLL

Bollinger Bands
middle:ma20
BUY
SELL

RSI(14)

Relative Strength Index
SELL
SELL

ATR(14)

Average True Range
3.76
2.83

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
SELL
SELL

ADX(14)

Average Directional Index
SELL
BUY

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Oversold
Oversold

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.