Stock Comparison: NEE vs XOM

Comparison Date : 2026-11-04

XOM is showing a bullish technical setup; NEE 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 NEE XOM
MACD golden cross 52% (21×) 43% (30×)
MA20/MA60 golden cross 33% (6×) 50% (6×)
RSI oversold recovery 67% (3×) —

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
Utilities
Utilities - Regulated Electric
Energy
Oil & Gas Integrated

Last Price

Last 2 Month line
84.33
177.46

Market Cap

135.97B
457.52B

Dividend Yield

3.43
3.74

P E

Price-to-Earnings Ratio
24.73
13.49

E P S

Earnings Per Share
3.67
6.83

52W Change

Last year
-5.83%
-8.81%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
90
↧5(6%)
191
↧13(7%)

Support

Key Price Level
78
↥-6(-7%)
163
↥-14(-8%)

Stop Loss

Short & Medium Term
87
2(2%)
170
-7(-4%)

Q_Bullish forecast

Quarterly Prediction
80
195

Q_Base forecast

Quarterly Prediction
74
186

Q_Bearish forecast

Quarterly Prediction
70
166

A_Bullish forecast

Annual Prediction
84
212

A_Base forecast

Annual Prediction
73
192

A_Bearish forecast

Annual Prediction
64
153

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
NEUTRAL
BUY

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
SELL

BOLL

Bollinger Bands
middle:ma20
BUY
NEUTRAL

RSI(14)

Relative Strength Index
BUY
BUY

ATR(14)

Average True Range
1.94
4.15

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
BUY
BUY

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Overbought
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.