Stock Comparison: BDSX vs VERU

Comparison Date : 2026-11-04

BDSX, VERU 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 BDSX VERU
MACD golden cross 45% (20×) 24% (21×)
MA20/MA60 golden cross 100% (3×) 0% (8×)
RSI oversold recovery 25% (12×) 60% (5×)

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
Healthcare
Diagnostics & Research
Healthcare
Biotechnology

Last Price

Last 2 Month line
21.05
2.16

Market Cap

76.78M
76.77M

Dividend Yield

-
-

P E

Price-to-Earnings Ratio
N/A
N/A

E P S

Earnings Per Share
0
0

52W Change

Last year
-62.43%
-68.1%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
26
↧4(19%)
2
↧0(0%)

Support

Key Price Level
15
↥-6(-29%)
1
↥-1(-46%)

Stop Loss

Short & Medium Term
23
1(5%)
2
0(0%)

Q_Bullish forecast

Quarterly Prediction
28
2

Q_Base forecast

Quarterly Prediction
20
2

Q_Bearish forecast

Quarterly Prediction
15
1

A_Bullish forecast

Annual Prediction
33
3

A_Base forecast

Annual Prediction
17
2

A_Bearish forecast

Annual Prediction
9
1

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
NEUTRAL
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
SELL

BOLL

Bollinger Bands
middle:ma20
SELL
SELL

RSI(14)

Relative Strength Index
SELL
SELL

ATR(14)

Average True Range
1.98
0.14

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
SELL
NEUTRAL

OBV(20)

On-Balance Volume
SELL
NEUTRAL

STOCH(K line)

Stochastic Oscillator
Neutral
Approaching 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.