Stock Comparison: CCI vs CCL

Comparison Date : 2026-11-04

CCI, CCL 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 CCI CCL
MACD golden cross 41% (22×) 50% (20×)
MA20/MA60 golden cross 75% (4×) 40% (5×)
RSI oversold recovery 57% (7×) 86% (7×)

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
Real Estate
REIT - Specialty
Consumer Cyclical
Travel Services

Last Price

Last 2 Month line
86.58
29.2

Market Cap

46.28B
24.44B

Dividend Yield

5.89
-

P E

Price-to-Earnings Ratio
N/A
12.01

E P S

Earnings Per Share
1.27
1.84

52W Change

Last year
9.15%
29.02%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
98
↧11(13%)
32
↧2(7%)

Support

Key Price Level
75
↥-11(-13%)
26
↥-3(-10%)

Stop Loss

Short & Medium Term
80
-6(-7%)
27
-2(-7%)

Q_Bullish forecast

Quarterly Prediction
73
29

Q_Base forecast

Quarterly Prediction
65
26

Q_Bearish forecast

Quarterly Prediction
59
23

A_Bullish forecast

Annual Prediction
79
32

A_Base forecast

Annual Prediction
63
26

A_Bearish forecast

Annual Prediction
52
20

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
BUY

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
BUY

BOLL

Bollinger Bands
middle:ma20
BUY
BUY

RSI(14)

Relative Strength Index
BUY
BUY

ATR(14)

Average True Range
3.07
1

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
BUY

ADX(14)

Average Directional Index
BUY
BUY

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Neutral
Approaching Overbought

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.