Stock Comparison: GFS vs WPM

Comparison Date : 2026-11-04

GFS, WPM 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 GFS WPM
MACD golden cross 42% (24×) 46% (26×)
MA20/MA60 golden cross 50% (4×) 100% (3×)
RSI oversold recovery 29% (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
Technology
Semiconductors
Basic Materials
Gold

Last Price

Last 2 Month line
42.89
117.42

Market Cap

19.45B
36.8B

Dividend Yield

-
0.81

P E

Price-to-Earnings Ratio
N/A
69.32

E P S

Earnings Per Share
1.64
2.13

52W Change

Last year
-28.6%
53.94%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
50
↧7(16%)
132
↧14(12%)

Support

Key Price Level
35
↥-7(-16%)
102
↥-15(-13%)

Stop Loss

Short & Medium Term
46
3(7%)
124
6(5%)

Q_Bullish forecast

Quarterly Prediction
56
148

Q_Base forecast

Quarterly Prediction
47
134

Q_Bearish forecast

Quarterly Prediction
39
117

A_Bullish forecast

Annual Prediction
63
164

A_Base forecast

Annual Prediction
45
136

A_Bearish forecast

Annual Prediction
29
101

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
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
2.45
4.88

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
SELL
SELL

ADX(14)

Average Directional Index
NEUTRAL
SELL

OBV(20)

On-Balance Volume
BUY
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.