Stock Comparison: IRRX vs VLT

Comparison Date : 2026-11-05

IRRX, VLT 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 IRRX VLT
MACD golden cross 71% (7×) 50% (24×)
MA20/MA60 golden cross — 33% (3×)
RSI oversold recovery 0% (3×) 42% (12×)

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
Asset Management

Last Price

Last 2 Month line
14.95
9.08

Market Cap

67.49M
67.41M

Dividend Yield

-
11.14

P E

Price-to-Earnings Ratio
N/A
7.66

E P S

Earnings Per Share
0
0

52W Change

Last year
2.74%
-2.63%

Key Price & Prediction 2026-11-05

Resistance

Key Price Level
17
↧2(13%)
9
↧0(0%)

Support

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

Stop Loss

Short & Medium Term
17
2(13%)
9
0(0%)

Q_Bullish forecast

Quarterly Prediction
17
9

Q_Base forecast

Quarterly Prediction
17
8

Q_Bearish forecast

Quarterly Prediction
16
8

A_Bullish forecast

Annual Prediction
18
9

A_Base forecast

Annual Prediction
17
8

A_Bearish forecast

Annual Prediction
15
8

Technical Analysis Signals 2026-11-05

MA(20,100)

Moving Avg(20,100)
NEUTRAL
NEUTRAL

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
BUY

BOLL

Bollinger Bands
middle:ma20
NEUTRAL
BUY

RSI(14)

Relative Strength Index
SELL
SELL

ATR(14)

Average True Range
0.02
0.1

CCI(20)

Commodity Channel Index
NEUTRAL
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
BUY

ADX(14)

Average Directional Index
BUY
SELL

OBV(20)

On-Balance Volume
NEUTRAL
BUY

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.