Stock Comparison: CMS vs FMX

Comparison Date : 2026-11-04

CMS, FMX 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 CMS FMX
MACD golden cross 50% (28×) 46% (24×)
MA20/MA60 golden cross 60% (5×) 67% (3×)
RSI oversold recovery — 40% (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
Utilities
Utilities - Regulated Electric
Consumer Defensive
Beverages - Brewers

Last Price

Last 2 Month line
70
127.03

Market Cap

21.82B
35.44B

Dividend Yield

2.97
3.38

P E

Price-to-Earnings Ratio
21.58
29.52

E P S

Earnings Per Share
3.59
4.16

52W Change

Last year
18.53%
-13.93%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
73
↧3(4%)
135
↧7(6%)

Support

Key Price Level
66
↥-4(-6%)
118
↥-9(-7%)

Stop Loss

Short & Medium Term
68
-2(-3%)
122
-5(-4%)

Q_Bullish forecast

Quarterly Prediction
70
126

Q_Base forecast

Quarterly Prediction
64
117

Q_Bearish forecast

Quarterly Prediction
62
111

A_Bullish forecast

Annual Prediction
74
133

A_Base forecast

Annual Prediction
63
115

A_Bearish forecast

Annual Prediction
57
102

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
NEUTRAL
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
1.24
2.93

CCI(20)

Commodity Channel Index
BUY
BUY

SAR(20)

Parabolic Stop and Reverse
BUY
BUY

ADX(14)

Average Directional Index
BUY
NEUTRAL

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Approaching Overbought
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.