Stock Comparison: SYK vs TMO

Comparison Date : 2026-11-04

TMO is showing a bullish technical setup; SYK 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 SYK TMO
MACD golden cross 50% (22×) 59% (17×)
MA20/MA60 golden cross 67% (6×) 67% (3×)
RSI oversold recovery 67% (6×) 47% (15×)

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
Healthcare
Medical Devices
Healthcare
Diagnostics & Research

Last Price

Last 2 Month line
310.55
698.34

Market Cap

142.74B
158.5B

Dividend Yield

0.9
0.41

P E

Price-to-Earnings Ratio
48.31
24.62

E P S

Earnings Per Share
13.36
22.47

52W Change

Last year
13.87%
-26.64%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
351
↧40(13%)
765
↧66(9%)

Support

Key Price Level
269
↥-41(-13%)
630
↥-68(-10%)

Stop Loss

Short & Medium Term
330
19(6%)
664
-34(-5%)

Q_Bullish forecast

Quarterly Prediction
301
729

Q_Base forecast

Quarterly Prediction
262
690

Q_Bearish forecast

Quarterly Prediction
242
637

A_Bullish forecast

Annual Prediction
328
780

A_Base forecast

Annual Prediction
248
701

A_Bearish forecast

Annual Prediction
209
596

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
SELL

ATR(14)

Average True Range
12.38
19.9

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
SELL
BUY

ADX(14)

Average Directional Index
NEUTRAL
BUY

OBV(20)

On-Balance Volume
BUY
BUY

STOCH(K line)

Stochastic Oscillator
Neutral
Approaching 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.