Stock Comparison: CRWV vs SLB

Comparison Date : 2026-11-04

SLB is showing a bullish technical setup; CRWV 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 CRWV SLB
MACD golden cross 31% (16×) 50% (18×)
MA20/MA60 golden cross 25% (4×) 56% (9×)
RSI oversold recovery — 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
Technology
Software - Infrastructure
Energy
Oil & Gas Equipment & Services

Last Price

Last 2 Month line
53.74
52.13

Market Cap

20.56B
45.89B

Dividend Yield

-
3.38

P E

Price-to-Earnings Ratio
N/A
11.43

E P S

Earnings Per Share
-0.3
3.19

52W Change

Last year
10.8%
-29.21%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
69
↧15(28%)
57
↧4(8%)

Support

Key Price Level
37
↥-16(-30%)
46
↥-6(-12%)

Stop Loss

Short & Medium Term
61
7(13%)
49
-3(-6%)

Q_Bullish forecast

Quarterly Prediction
89
52

Q_Base forecast

Quarterly Prediction
63
47

Q_Bearish forecast

Quarterly Prediction
44
42

A_Bullish forecast

Annual Prediction
110
57

A_Base forecast

Annual Prediction
57
46

A_Bearish forecast

Annual Prediction
19
37

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
BUY

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
BUY

BOLL

Bollinger Bands
middle:ma20
SELL
BUY

RSI(14)

Relative Strength Index
SELL
BUY

ATR(14)

Average True Range
5.86
1.55

CCI(20)

Commodity Channel Index
BUY
BUY

SAR(20)

Parabolic Stop and Reverse
SELL
BUY

ADX(14)

Average Directional Index
SELL
NEUTRAL

OBV(20)

On-Balance Volume
BUY
SELL

STOCH(K line)

Stochastic Oscillator
Approaching Oversold
Approaching Oversold

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.