Stock Comparison: NEM vs O

Comparison Date : 2026-11-04

NEM, O 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 NEM O
MACD golden cross 63% (24×) 55% (20×)
MA20/MA60 golden cross 67% (3×) 25% (4×)
RSI oversold recovery 50% (6×) 40% (5×)

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
Gold
Real Estate
REIT - Retail

Last Price

Last 2 Month line
107.47
57.5

Market Cap

57.3B
50.98B

Dividend Yield

1.94
5.64

P E

Price-to-Earnings Ratio
11.72
58.33

E P S

Earnings Per Share
4.37
1.31

52W Change

Last year
26.64%
3.46%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
119
↧11(10%)
60
↧2(3%)

Support

Key Price Level
95
↥-12(-11%)
54
↥-3(-5%)

Stop Loss

Short & Medium Term
113
5(5%)
58
0(0%)

Q_Bullish forecast

Quarterly Prediction
129
58

Q_Base forecast

Quarterly Prediction
118
54

Q_Bearish forecast

Quarterly Prediction
104
52

A_Bullish forecast

Annual Prediction
143
60

A_Base forecast

Annual Prediction
120
54

A_Bearish forecast

Annual Prediction
93
48

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
NEUTRAL

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
3.87
0.95

CCI(20)

Commodity Channel Index
BUY
BUY

SAR(20)

Parabolic Stop and Reverse
SELL
BUY

ADX(14)

Average Directional Index
SELL
BUY

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Neutral
Approaching Overbought

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.