Stock Comparison: PSX vs TPL

Comparison Date : 2026-11-04

PSX, TPL 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 PSX TPL
MACD golden cross 55% (20×) 30% (27×)
MA20/MA60 golden cross 71% (7×) 0% (5×)
RSI oversold recovery 100% (3×) 22% (9×)

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 Refining & Marketing
Energy
Oil & Gas E&P

Last Price

Last 2 Month line
271.94
332

Market Cap

42.16B
30.02B

Dividend Yield

4.64
0.49

P E

Price-to-Earnings Ratio
23.3
66.23

E P S

Earnings Per Share
4.72
0

52W Change

Last year
-27.96%
132.56%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
304
↧32(12%)
361
↧29(9%)

Support

Key Price Level
239
↥-32(-12%)
302
↥-30(-9%)

Stop Loss

Short & Medium Term
288
16(6%)
346
14(4%)

Q_Bullish forecast

Quarterly Prediction
276
379

Q_Base forecast

Quarterly Prediction
258
325

Q_Bearish forecast

Quarterly Prediction
234
285

A_Bullish forecast

Annual Prediction
300
421

A_Base forecast

Annual Prediction
264
313

A_Bearish forecast

Annual Prediction
216
233

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
NEUTRAL
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
SELL

BOLL

Bollinger Bands
middle:ma20
SELL
SELL

RSI(14)

Relative Strength Index
SELL
SELL

ATR(14)

Average True Range
9.68
11.09

CCI(20)

Commodity Channel Index
SELL
SELL

SAR(20)

Parabolic Stop and Reverse
SELL
SELL

ADX(14)

Average Directional Index
BUY
SELL

OBV(20)

On-Balance Volume
SELL
BUY

STOCH(K line)

Stochastic Oscillator
Neutral
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.