Stock Comparison: LULU vs TGT

Comparison Date : 2026-11-04

LULU, TGT 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 LULU TGT
MACD golden cross 50% (20×) 61% (23×)
MA20/MA60 golden cross 50% (4×) 60% (5×)
RSI oversold recovery 38% (13×) 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
Consumer Cyclical
Apparel Retail
Consumer Defensive
Discount Stores

Last Price

Last 2 Month line
106.95
154.4

Market Cap

32.4B
43.6B

Dividend Yield

-
4.67

P E

Price-to-Earnings Ratio
18.34
10.83

E P S

Earnings Per Share
14.88
9.07

52W Change

Last year
-24.37%
-39.27%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
120
↧13(12%)
168
↧13(8%)

Support

Key Price Level
93
↥-13(-12%)
140
↥-14(-9%)

Stop Loss

Short & Medium Term
99
-7(-7%)
147
-7(-5%)

Q_Bullish forecast

Quarterly Prediction
108
170

Q_Base forecast

Quarterly Prediction
92
158

Q_Bearish forecast

Quarterly Prediction
80
145

A_Bullish forecast

Annual Prediction
121
185

A_Base forecast

Annual Prediction
88
161

A_Bearish forecast

Annual Prediction
64
133

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
NEUTRAL
BUY

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
4.1
4.42

CCI(20)

Commodity Channel Index
BUY
BUY

SAR(20)

Parabolic Stop and Reverse
BUY
BUY

ADX(14)

Average Directional Index
BUY
NEUTRAL

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Neutral
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.