Stock Comparison: FORL vs TCBS

Comparison Date : 2026-11-04

FORL, TCBS 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 FORL TCBS
MACD golden cross 50% (18×) 68% (22×)
MA20/MA60 golden cross 50% (4×) 50% (6×)
RSI oversold recovery — —

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
Shell Companies
Financial Services
Banks - Regional

Last Price

Last 2 Month line
11
17.2

Market Cap

46.28M
46.2M

Dividend Yield

-
1.06

P E

Price-to-Earnings Ratio
126.11
N/A

E P S

Earnings Per Share
0
0

52W Change

Last year
4.7%
6.95%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
11
↧0(0%)
17
↧0(0%)

Support

Key Price Level
11
↥0(0%)
16
↥-1(-6%)

Stop Loss

Short & Medium Term
11
0(0%)
17
0(0%)

Q_Bullish forecast

Quarterly Prediction
11
17

Q_Base forecast

Quarterly Prediction
10
16

Q_Bearish forecast

Quarterly Prediction
10
16

A_Bullish forecast

Annual Prediction
11
18

A_Base forecast

Annual Prediction
10
16

A_Bearish forecast

Annual Prediction
10
15

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
NEUTRAL
NEUTRAL

MACD(12,26,9)

Moving Average Convergence Divergence
NEUTRAL
BUY

BOLL

Bollinger Bands
middle:ma20
NEUTRAL
BUY

RSI(14)

Relative Strength Index
BUY
SELL

ATR(14)

Average True Range
0
0.14

CCI(20)

Commodity Channel Index
NEUTRAL
BUY

SAR(20)

Parabolic Stop and Reverse
SELL
BUY

ADX(14)

Average Directional Index
SELL
BUY

OBV(20)

On-Balance Volume
NEUTRAL
SELL

STOCH(K line)

Stochastic Oscillator
Oversold
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.