Stock Comparison: IMO vs MLM

Comparison Date : 2026-11-04

IMO, MLM 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 IMO MLM
MACD golden cross 58% (19×) 62% (21×)
MA20/MA60 golden cross 50% (6×) 75% (4×)
RSI oversold recovery 100% (4×) 83% (6×)

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
Oil & Gas Integrated
Basic Materials
Building Materials

Last Price

Last 2 Month line
134.29
543.77

Market Cap

34.65B
31.68B

Dividend Yield

2.94
0.6

P E

Price-to-Earnings Ratio
10.42
29.94

E P S

Earnings Per Share
7.69
18.79

52W Change

Last year
0.03%
-11.53%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
150
↧15(11%)
587
↧43(8%)

Support

Key Price Level
118
↥-16(-12%)
500
↥-43(-8%)

Stop Loss

Short & Medium Term
126
-8(-6%)
521
-22(-4%)

Q_Bullish forecast

Quarterly Prediction
131
526

Q_Base forecast

Quarterly Prediction
119
480

Q_Bearish forecast

Quarterly Prediction
110
445

A_Bullish forecast

Annual Prediction
140
562

A_Base forecast

Annual Prediction
117
470

A_Bearish forecast

Annual Prediction
98
401

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
4.48
14.08

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
BUY

ADX(14)

Average Directional Index
SELL
BUY

OBV(20)

On-Balance Volume
BUY
SELL

STOCH(K line)

Stochastic Oscillator
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.