Stock Comparison: JD vs ZM

Comparison Date : 2026-11-04

JD is showing a bullish technical setup; ZM 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 JD ZM
MACD golden cross 56% (27×) 47% (19×)
MA20/MA60 golden cross 50% (6×) 14% (7×)
RSI oversold recovery 33% (9×) 80% (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
Internet Retail
Technology
Software - Application

Last Price

Last 2 Month line
26.91
91.84

Market Cap

47.63B
23.57B

Dividend Yield

3.04
-

P E

Price-to-Earnings Ratio
8.87
24.06

E P S

Earnings Per Share
33.45
5.37

52W Change

Last year
-0.06%
24.96%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
28
↧1(4%)
103
↧11(12%)

Support

Key Price Level
25
↥-1(-4%)
80
↥-11(-12%)

Stop Loss

Short & Medium Term
25
-1(-4%)
97
5(5%)

Q_Bullish forecast

Quarterly Prediction
29
109

Q_Base forecast

Quarterly Prediction
26
97

Q_Bearish forecast

Quarterly Prediction
25
87

A_Bullish forecast

Annual Prediction
31
119

A_Base forecast

Annual Prediction
25
97

A_Bearish forecast

Annual Prediction
22
77

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
NEUTRAL
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
SELL

BOLL

Bollinger Bands
middle:ma20
BUY
BUY

RSI(14)

Relative Strength Index
BUY
SELL

ATR(14)

Average True Range
0.59
3.68

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
BUY
NEUTRAL

OBV(20)

On-Balance Volume
BUY
SELL

STOCH(K line)

Stochastic Oscillator
Approaching Overbought
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.