Stock Comparison: CPAY vs HSY

Comparison Date : 2026-11-04

CPAY is showing a bullish technical setup; HSY 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 CPAY HSY
MACD golden cross 53% (19×) 54% (24×)
MA20/MA60 golden cross 40% (5×) 50% (4×)
RSI oversold recovery 80% (5×) 62% (13×)

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
Software - Infrastructure
Consumer Defensive
Confectioners

Last Price

Last 2 Month line
406.58
167.54

Market Cap

22.66B
33.85B

Dividend Yield

-
3.28

P E

Price-to-Earnings Ratio
23.09
20.58

E P S

Earnings Per Share
21.07
6.02

52W Change

Last year
7.81%
-15.56%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
434
↧27(7%)
183
↧15(9%)

Support

Key Price Level
378
↥-28(-7%)
151
↥-16(-10%)

Stop Loss

Short & Medium Term
392
-14(-3%)
175
7(4%)

Q_Bullish forecast

Quarterly Prediction
435
174

Q_Base forecast

Quarterly Prediction
410
161

Q_Bearish forecast

Quarterly Prediction
382
152

A_Bullish forecast

Annual Prediction
465
184

A_Base forecast

Annual Prediction
415
158

A_Bearish forecast

Annual Prediction
358
139

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
BUY
NEUTRAL

MACD(12,26,9)

Moving Average Convergence Divergence
BUY
BUY

BOLL

Bollinger Bands
middle:ma20
BUY
BUY

RSI(14)

Relative Strength Index
BUY
BUY

ATR(14)

Average True Range
9.44
4.42

CCI(20)

Commodity Channel Index
BUY
SELL

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
NEUTRAL
NEUTRAL

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Approaching Overbought
Approaching 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.