Stock Comparison: UBER vs WMT

Comparison Date : 2026-11-04

WMT is showing a bullish technical setup; UBER 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 UBER WMT
MACD golden cross 43% (23×) 63% (27×)
MA20/MA60 golden cross 50% (6×) 80% (5×)
RSI oversold recovery 67% (6×) 50% (4×)

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
Technology
Software - Application
Consumer Defensive
Discount Stores

Last Price

Last 2 Month line
66.6
124.86

Market Cap

169.16B
779.36B

Dividend Yield

-
0.96

P E

Price-to-Earnings Ratio
17.73
40.41

E P S

Earnings Per Share
3.25
2.62

52W Change

Last year
16.84%
62.84%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
71
↧4(6%)
132
↧7(6%)

Support

Key Price Level
61
↥-5(-8%)
116
↥-8(-6%)

Stop Loss

Short & Medium Term
69
2(3%)
120
-4(-3%)

Q_Bullish forecast

Quarterly Prediction
75
138

Q_Base forecast

Quarterly Prediction
67
132

Q_Bearish forecast

Quarterly Prediction
60
118

A_Bullish forecast

Annual Prediction
81
149

A_Base forecast

Annual Prediction
65
136

A_Bearish forecast

Annual Prediction
52
110

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
BUY

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
1.99
2.61

CCI(20)

Commodity Channel Index
SELL
SELL

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
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.