Stock Comparison: JPM vs MS

Comparison Date : 2026-11-04

JPM, MS are 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 JPM MS
MACD golden cross 58% (24×) 71% (24×)
MA20/MA60 golden cross 40% (5×) 80% (5×)
RSI oversold recovery 100% (3×) 75% (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
Financial Services
Banks - Diversified
Financial Services
Capital Markets

Last Price

Last 2 Month line
337.98
186.09

Market Cap

686.13B
187.63B

Dividend Yield

2.27
3.17

P E

Price-to-Earnings Ratio
12.12
13.67

E P S

Earnings Per Share
18.37
8.68

52W Change

Last year
29.59%
24.69%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
354
↧16(5%)
202
↧15(8%)

Support

Key Price Level
321
↥-16(-5%)
170
↥-16(-9%)

Stop Loss

Short & Medium Term
346
8(2%)
194
7(4%)

Q_Bullish forecast

Quarterly Prediction
358
206

Q_Base forecast

Quarterly Prediction
331
189

Q_Bearish forecast

Quarterly Prediction
317
177

A_Bullish forecast

Annual Prediction
377
219

A_Base forecast

Annual Prediction
322
186

A_Bearish forecast

Annual Prediction
294
161

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
SELL

RSI(14)

Relative Strength Index
BUY
BUY

ATR(14)

Average True Range
6.18
5

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
NEUTRAL
SELL

OBV(20)

On-Balance Volume
SELL
BUY

STOCH(K line)

Stochastic Oscillator
Neutral
Approaching 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.