Stock Comparison: MLM vs PSX

Comparison Date : 2026-11-04

MLM is showing a bullish technical setup; PSX is 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 MLM PSX
MACD golden cross 62% (21×) 55% (20×)
MA20/MA60 golden cross 75% (4×) 71% (7×)
RSI oversold recovery 83% (6×) 100% (3×)

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
Basic Materials
Building Materials
Energy
Oil & Gas Refining & Marketing

Last Price

Last 2 Month line
543.77
271.94

Market Cap

31.68B
42.16B

Dividend Yield

0.6
4.64

P E

Price-to-Earnings Ratio
29.94
23.3

E P S

Earnings Per Share
18.79
4.72

52W Change

Last year
-11.53%
-27.96%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
587
↧43(8%)
304
↧32(12%)

Support

Key Price Level
500
↥-43(-8%)
239
↥-32(-12%)

Stop Loss

Short & Medium Term
521
-22(-4%)
288
16(6%)

Q_Bullish forecast

Quarterly Prediction
526
276

Q_Base forecast

Quarterly Prediction
480
258

Q_Bearish forecast

Quarterly Prediction
445
234

A_Bullish forecast

Annual Prediction
562
300

A_Base forecast

Annual Prediction
470
264

A_Bearish forecast

Annual Prediction
401
216

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
NEUTRAL

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
SELL

BOLL

Bollinger Bands
middle:ma20
BUY
SELL

RSI(14)

Relative Strength Index
BUY
SELL

ATR(14)

Average True Range
14.08
9.68

CCI(20)

Commodity Channel Index
SELL
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
BUY
BUY

OBV(20)

On-Balance Volume
SELL
SELL

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.