Stock Comparison: AFJK vs IRRX

Comparison Date : 2026-11-05

AFJK, IRRX 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 AFJK IRRX
MACD golden cross 68% (22×) 71% (7×)
MA20/MA60 golden cross — —
RSI oversold recovery 50% (4×) 0% (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 2026-11-05

Sector

Industry
Financial Services
Shell Companies
Financial Services
Shell Companies

Last Price

Last 2 Month line
12.2
14.95

Market Cap

67.52M
67.49M

Dividend Yield

-
-

P E

Price-to-Earnings Ratio
39.39
N/A

E P S

Earnings Per Share
0
0

52W Change

Last year
7.35%
2.74%

Key Price & Prediction 2026-11-05

Resistance

Key Price Level
12
↧0(0%)
17
↧2(13%)

Support

Key Price Level
11
↥-1(-8%)
17
↥2(13%)

Stop Loss

Short & Medium Term
12
0(0%)
17
2(13%)

Q_Bullish forecast

Quarterly Prediction
15
17

Q_Base forecast

Quarterly Prediction
12
17

Q_Bearish forecast

Quarterly Prediction
9
16

A_Bullish forecast

Annual Prediction
18
18

A_Base forecast

Annual Prediction
13
17

A_Bearish forecast

Annual Prediction
6
15

Technical Analysis Signals 2026-11-05

MA(20,100)

Moving Avg(20,100)
SELL
NEUTRAL

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
SELL

BOLL

Bollinger Bands
middle:ma20
SELL
NEUTRAL

RSI(14)

Relative Strength Index
SELL
SELL

ATR(14)

Average True Range
0.42
0.02

CCI(20)

Commodity Channel Index
SELL
NEUTRAL

SAR(20)

Parabolic Stop and Reverse
SELL
BUY

ADX(14)

Average Directional Index
NEUTRAL
BUY

OBV(20)

On-Balance Volume
NEUTRAL
NEUTRAL

STOCH(K line)

Stochastic Oscillator
Approaching 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.