Stock Comparison: CYCC vs RSF

Comparison Date : 2026-11-04

CYCC is showing a bullish technical setup; RSF 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 RSF CYCC
MACD golden cross 31% (26×) 9% (11×)
MA20/MA60 golden cross 44% (9×) —
RSI oversold recovery 67% (3×) 14% (14×)

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

Last Price

Last 2 Month line
14.21
1.48

Market Cap

50.85M
50.69M

Dividend Yield

11.33
-

P E

Price-to-Earnings Ratio
9.23
N/A

E P S

Earnings Per Share
2.1
0

52W Change

Last year
-0.08%
-88%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
14
↧0(0%)
22
↧20(1351%)

Support

Key Price Level
13
↥-1(-7%)
0
↥-1(-68%)

Stop Loss

Short & Medium Term
14
0(0%)
5
3(203%)

Q_Bullish forecast

Quarterly Prediction
14
17

Q_Base forecast

Quarterly Prediction
14
13

Q_Bearish forecast

Quarterly Prediction
13
5

A_Bullish forecast

Annual Prediction
14
24

A_Base forecast

Annual Prediction
14
16

A_Bearish forecast

Annual Prediction
13
0

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
BUY

MACD(12,26,9)

Moving Average Convergence Divergence
NEUTRAL
BUY

BOLL

Bollinger Bands
middle:ma20
SELL
BUY

RSI(14)

Relative Strength Index
SELL
BUY

ATR(14)

Average True Range
0.09
2.62

CCI(20)

Commodity Channel Index
SELL
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
SELL
BUY

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.