Stock Comparison: TM vs TSM

Comparison Date : 2026-11-04

TM, TSM 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 TM TSM
MACD golden cross 43% (23×) 50% (32×)
MA20/MA60 golden cross 50% (6×) 80% (5×)
RSI oversold recovery 44% (9×) —

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
Auto Manufacturers
Technology
Semiconductors

Last Price

Last 2 Month line
193
404.8

Market Cap

248.37B
895.82B

Dividend Yield

2.73
1.59

P E

Price-to-Earnings Ratio
7.1
22.37

E P S

Earnings Per Share
0
9.26

52W Change

Last year
-18.16%
22.01%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
201
↧8(4%)
447
↧42(10%)

Support

Key Price Level
184
↥-9(-5%)
362
↥-42(-10%)

Stop Loss

Short & Medium Term
197
4(2%)
426
21(5%)

Q_Bullish forecast

Quarterly Prediction
205
437

Q_Base forecast

Quarterly Prediction
199
386

Q_Bearish forecast

Quarterly Prediction
187
349

A_Bullish forecast

Annual Prediction
215
477

A_Base forecast

Annual Prediction
203
375

A_Bearish forecast

Annual Prediction
180
300

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
SELL

BOLL

Bollinger Bands
middle:ma20
NEUTRAL
SELL

RSI(14)

Relative Strength Index
BUY
SELL

ATR(14)

Average True Range
2.95
13.42

CCI(20)

Commodity Channel Index
SELL
BUY

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
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.