Stock Comparison: BDL vs KACLU

Comparison Date : 2026-11-04

BDL, KACLU 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 BDL KACLU
MACD golden cross 45% (33×) 0% (5×)
MA20/MA60 golden cross 33% (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
Consumer Cyclical
Restaurants
Financial Services
Shell Companies

Last Price

Last 2 Month line
65.65
11.32

Market Cap

45.01M
44.98M

Dividend Yield

2.06
-

P E

Price-to-Earnings Ratio
13.6
N/A

E P S

Earnings Per Share
0
0

52W Change

Last year
-9.59%
3.47%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
76
↧10(15%)
11
↧0(0%)

Support

Key Price Level
54
↥-11(-17%)
11
↥0(0%)

Stop Loss

Short & Medium Term
60
-5(-8%)
11
0(0%)

Q_Bullish forecast

Quarterly Prediction
69
11

Q_Base forecast

Quarterly Prediction
62
11

Q_Bearish forecast

Quarterly Prediction
52
11

A_Bullish forecast

Annual Prediction
78
11

A_Base forecast

Annual Prediction
64
11

A_Bearish forecast

Annual Prediction
45
10

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
NEUTRAL

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
NEUTRAL

BOLL

Bollinger Bands
middle:ma20
SELL
NEUTRAL

RSI(14)

Relative Strength Index
SELL
BUY

ATR(14)

Average True Range
3.54
0

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
BUY
NEUTRAL

ADX(14)

Average Directional Index
BUY
SELL

OBV(20)

On-Balance Volume
SELL
NEUTRAL

STOCH(K line)

Stochastic Oscillator
Overbought
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.