Stock Comparison: PWR vs VRT

Comparison Date : 2026-11-04

PWR, VRT are showing a bullish 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 PWR VRT
MACD golden cross 55% (22×) 39% (23×)
MA20/MA60 golden cross 80% (5×) 80% (5×)
RSI oversold recovery 50% (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
Industrials
Engineering & Construction
Industrials
Electrical Equipment & Parts

Last Price

Last 2 Month line
657
235.97

Market Cap

47.73B
35.27B

Dividend Yield

0.12
0.16

P E

Price-to-Earnings Ratio
51.84
53.8

E P S

Earnings Per Share
10.28
3.57

52W Change

Last year
25.59%
-0.49%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
748
↧91(14%)
286
↧50(21%)

Support

Key Price Level
565
↥-92(-14%)
185
↥-50(-21%)

Stop Loss

Short & Medium Term
611
-46(-7%)
210
-25(-11%)

Q_Bullish forecast

Quarterly Prediction
704
290

Q_Base forecast

Quarterly Prediction
651
235

Q_Bearish forecast

Quarterly Prediction
584
196

A_Bullish forecast

Annual Prediction
765
331

A_Base forecast

Annual Prediction
659
223

A_Bearish forecast

Annual Prediction
523
143

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
NEUTRAL

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
BUY

BOLL

Bollinger Bands
middle:ma20
BUY
BUY

RSI(14)

Relative Strength Index
BUY
BUY

ATR(14)

Average True Range
28.76
14.64

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
BUY
BUY

ADX(14)

Average Directional Index
BUY
BUY

OBV(20)

On-Balance Volume
BUY
BUY

STOCH(K line)

Stochastic Oscillator
Approaching Overbought
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.