Stock Comparison: ONCY vs QNCX

Comparison Date : 2026-11-04

QNCX is showing a bullish technical setup; ONCY is 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 QNCX ONCY
MACD golden cross 50% (18×) 24% (21×)
MA20/MA60 golden cross 40% (5×) 17% (6×)
RSI oversold recovery 75% (8×) 50% (8×)

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
Biotechnology
Healthcare
Biotechnology

Last Price

Last 2 Month line
33.16
0.39

Market Cap

47.65M
47.63M

Dividend Yield

-
-

P E

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

E P S

Earnings Per Share
-0.54
-0.4

52W Change

Last year
9.64%
-52.99%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
44
↧10(30%)
0
↧0(0%)

Support

Key Price Level
21
↥-12(-36%)
0
↥0(0%)

Stop Loss

Short & Medium Term
27
-6(-18%)
0
0(0%)

Q_Bullish forecast

Quarterly Prediction
41
0

Q_Base forecast

Quarterly Prediction
33
0

Q_Bearish forecast

Quarterly Prediction
25
0

A_Bullish forecast

Annual Prediction
50
0

A_Base forecast

Annual Prediction
35
0

A_Bearish forecast

Annual Prediction
18
0

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
SELL

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
SELL

BOLL

Bollinger Bands
middle:ma20
BUY
SELL

RSI(14)

Relative Strength Index
BUY
BUY

ATR(14)

Average True Range
3.41
0.05

CCI(20)

Commodity Channel Index
BUY
BUY

SAR(20)

Parabolic Stop and Reverse
SELL
SELL

ADX(14)

Average Directional Index
BUY
SELL

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Neutral
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.