Stock Comparison: HKIT vs REFR

Comparison Date : 2026-11-04

HKIT is showing a bullish technical setup; REFR 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 REFR HKIT
MACD golden cross 26% (19×) 31% (26×)
MA20/MA60 golden cross 33% (3×) 14% (7×)
RSI oversold recovery 25% (16×) —

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
Technology
Electronic Components
Technology
Software - Application

Last Price

Last 2 Month line
0.35
2.17

Market Cap

35.66M
35.45M

Dividend Yield

-
-

P E

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

E P S

Earnings Per Share
0
0

52W Change

Last year
-33.33%
-11.03%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
0
↧0(0%)
1
↧-1(-46%)

Support

Key Price Level
0
↥0(0%)
1
↥-1(-46%)

Stop Loss

Short & Medium Term
0
0(0%)
1
-1(-46%)

Q_Bullish forecast

Quarterly Prediction
0
1

Q_Base forecast

Quarterly Prediction
0
1

Q_Bearish forecast

Quarterly Prediction
0
1

A_Bullish forecast

Annual Prediction
0
2

A_Base forecast

Annual Prediction
0
1

A_Bearish forecast

Annual Prediction
0
1

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
SELL
BUY

MACD(12,26,9)

Moving Average Convergence Divergence
SELL
NEUTRAL

BOLL

Bollinger Bands
middle:ma20
SELL
SELL

RSI(14)

Relative Strength Index
SELL
BUY

ATR(14)

Average True Range
0.07
0.05

CCI(20)

Commodity Channel Index
SELL
SELL

SAR(20)

Parabolic Stop and Reverse
SELL
BUY

ADX(14)

Average Directional Index
NEUTRAL
BUY

OBV(20)

On-Balance Volume
SELL
BUY

STOCH(K line)

Stochastic Oscillator
Oversold
Neutral

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.