Stock Comparison: DE vs TSLA

Comparison Date : 2026-11-04

TSLA is showing a bullish technical setup; DE 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 DE TSLA
MACD golden cross 67% (21×) 59% (29×)
MA20/MA60 golden cross 75% (4×) 29% (7×)
RSI oversold recovery 67% (3×) 50% (8×)

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
Farm & Heavy Construction Machinery
Consumer Cyclical
Auto Manufacturers

Last Price

Last 2 Month line
665.83
398.5

Market Cap

130.28B
903.54B

Dividend Yield

1.35
-

P E

Price-to-Earnings Ratio
21.27
161.21

E P S

Earnings Per Share
18.86
1.91

52W Change

Last year
19.72%
54.82%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
729
↧63(9%)
442
↧43(11%)

Support

Key Price Level
602
↥-63(-9%)
354
↥-44(-11%)

Stop Loss

Short & Medium Term
697
31(5%)
376
-22(-6%)

Q_Bullish forecast

Quarterly Prediction
732
454

Q_Base forecast

Quarterly Prediction
686
416

Q_Bearish forecast

Quarterly Prediction
622
363

A_Bullish forecast

Annual Prediction
793
505

A_Base forecast

Annual Prediction
700
428

A_Bearish forecast

Annual Prediction
573
322

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
NEUTRAL
BUY

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
BUY

BOLL

Bollinger Bands
middle:ma20
SELL
BUY

RSI(14)

Relative Strength Index
BUY
BUY

ATR(14)

Average True Range
20.11
13.4

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
SELL
BUY

ADX(14)

Average Directional Index
BUY
NEUTRAL

OBV(20)

On-Balance Volume
SELL
SELL

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.