Stock Comparison: FTS vs TCOM

Comparison Date : 2026-11-04

FTS, TCOM are showing a bullish 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 FTS TCOM
MACD golden cross 56% (27×) 38% (21×)
MA20/MA60 golden cross 80% (5×) 29% (7×)
RSI oversold recovery 100% (4×) 35% (17×)

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
Utilities
Utilities - Regulated Electric
Consumer Cyclical
Travel Services

Last Price

Last 2 Month line
59.72
41.38

Market Cap

24.56B
38.81B

Dividend Yield

3.51
0.51

P E

Price-to-Earnings Ratio
20.93
17.41

E P S

Earnings Per Share
2.44
25.54

52W Change

Last year
22.73%
11.41%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
62
↧2(3%)
44
↧2(5%)

Support

Key Price Level
57
↥-2(-3%)
38
↥-3(-7%)

Stop Loss

Short & Medium Term
58
-1(-2%)
39
-2(-5%)

Q_Bullish forecast

Quarterly Prediction
55
43

Q_Base forecast

Quarterly Prediction
52
38

Q_Bearish forecast

Quarterly Prediction
50
35

A_Bullish forecast

Annual Prediction
57
47

A_Base forecast

Annual Prediction
51
36

A_Bearish forecast

Annual Prediction
47
30

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
NEUTRAL

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
BUY

BOLL

Bollinger Bands
middle:ma20
BUY
SELL

RSI(14)

Relative Strength Index
SELL
BUY

ATR(14)

Average True Range
0.83
0.99

CCI(20)

Commodity Channel Index
SELL
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
BUY

ADX(14)

Average Directional Index
BUY
NEUTRAL

OBV(20)

On-Balance Volume
BUY
BUY

STOCH(K line)

Stochastic Oscillator
Overbought
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.