Stock Comparison: SLB vs XYZ

Comparison Date : 2026-11-04

SLB is showing a bullish technical setup; XYZ 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 SLB XYZ
MACD golden cross 50% (18×) 52% (25×)
MA20/MA60 golden cross 56% (9×) 67% (6×)
RSI oversold recovery 83% (6×) 71% (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
Energy
Oil & Gas Equipment & Services
Technology
Software - Infrastructure

Last Price

Last 2 Month line
52.13
76

Market Cap

45.89B
36B

Dividend Yield

3.38
-

P E

Price-to-Earnings Ratio
11.43
12.82

E P S

Earnings Per Share
3.19
4

52W Change

Last year
-29.21%
-15.82%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
57
↧4(8%)
82
↧6(8%)

Support

Key Price Level
46
↥-6(-12%)
69
↥-7(-9%)

Stop Loss

Short & Medium Term
49
-3(-6%)
79
3(4%)

Q_Bullish forecast

Quarterly Prediction
52
80

Q_Base forecast

Quarterly Prediction
47
70

Q_Bearish forecast

Quarterly Prediction
42
65

A_Bullish forecast

Annual Prediction
57
87

A_Base forecast

Annual Prediction
46
67

A_Bearish forecast

Annual Prediction
37
57

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
SELL

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
1.55
2.31

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
BUY

ADX(14)

Average Directional Index
NEUTRAL
NEUTRAL

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Approaching Oversold
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.