Stock Comparison: FSI vs YYGH

Comparison Date : 2026-11-04

FSI, YYGH 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 FSI YYGH
MACD golden cross 67% (21×) 53% (17×)
MA20/MA60 golden cross 67% (3×) 75% (4×)
RSI oversold recovery 78% (9×) 50% (10×)

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
Basic Materials
Specialty Chemicals
Consumer Cyclical
Personal Services

Last Price

Last 2 Month line
6.15
1.29

Market Cap

47.42M
47.57M

Dividend Yield

-
-

P E

Price-to-Earnings Ratio
15.66
N/A

E P S

Earnings Per Share
0
0

52W Change

Last year
77.3%
-43.59%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
6
↧0(0%)
3
↧1(78%)

Support

Key Price Level
5
↥-1(-16%)
1
↥0(0%)

Stop Loss

Short & Medium Term
5
-1(-16%)
1
0(0%)

Q_Bullish forecast

Quarterly Prediction
7
3

Q_Base forecast

Quarterly Prediction
6
2

Q_Bearish forecast

Quarterly Prediction
5
1

A_Bullish forecast

Annual Prediction
7
4

A_Base forecast

Annual Prediction
7
3

A_Bearish forecast

Annual Prediction
5
0

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
NEUTRAL

MACD(12,26,9)

Moving Average Convergence Divergence
NEUTRAL
SELL

BOLL

Bollinger Bands
middle:ma20
BUY
SELL

RSI(14)

Relative Strength Index
BUY
SELL

ATR(14)

Average True Range
0.18
0.37

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
SELL
SELL

ADX(14)

Average Directional Index
BUY
BUY

OBV(20)

On-Balance Volume
SELL
BUY

STOCH(K line)

Stochastic Oscillator
Oversold
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.