Stock Comparison: FFBW vs FURY

Comparison Date : 2026-11-04

FFBW, FURY 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 FFBW FURY
MACD golden cross 48% (25×) 40% (20×)
MA20/MA60 golden cross 67% (3×) 50% (6×)
RSI oversold recovery 33% (3×) —

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
Banks - Regional
Basic Materials
Other Industrial Metals & Mining

Last Price

Last 2 Month line
15.5
0.49

Market Cap

58.43M
58.19M

Dividend Yield

-
-

P E

Price-to-Earnings Ratio
38.97
N/A

E P S

Earnings Per Share
0
-0.09

52W Change

Last year
-5.29%
-4.25%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
15
↧0(0%)
0
↧0(0%)

Support

Key Price Level
15
↥0(0%)
0
↥0(0%)

Stop Loss

Short & Medium Term
15
0(0%)
0
0(0%)

Q_Bullish forecast

Quarterly Prediction
15
0

Q_Base forecast

Quarterly Prediction
15
0

Q_Bearish forecast

Quarterly Prediction
15
0

A_Bullish forecast

Annual Prediction
16
0

A_Base forecast

Annual Prediction
15
0

A_Bearish forecast

Annual Prediction
14
0

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
SELL

BOLL

Bollinger Bands
middle:ma20
SELL
SELL

RSI(14)

Relative Strength Index
BUY
SELL

ATR(14)

Average True Range
0.08
0.03

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
SELL
SELL

ADX(14)

Average Directional Index
SELL
SELL

OBV(20)

On-Balance Volume
NEUTRAL
SELL

STOCH(K line)

Stochastic Oscillator
Oversold
Neutral

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.