Stock Comparison: MCD vs PG

Comparison Date : 2026-11-04

MCD, PG are showing a bullish 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 MCD PG
MACD golden cross 42% (24×) 56% (27×)
MA20/MA60 golden cross 25% (4×) 17% (6×)
RSI oversold recovery 50% (6×) 100% (7×)

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
Consumer Cyclical
Restaurants
Consumer Defensive
Household & Personal Products

Last Price

Last 2 Month line
263.04
162.06

Market Cap

224.27B
375.07B

Dividend Yield

2.26
2.64

P E

Price-to-Earnings Ratio
27.7
25.39

E P S

Earnings Per Share
12.34
6.78

52W Change

Last year
16.03%
-2.72%

Key Price & Prediction 2026-11-04

Resistance

Key Price Level
278
↧14(5%)
172
↧9(6%)

Support

Key Price Level
247
↥-16(-6%)
151
↥-11(-7%)

Stop Loss

Short & Medium Term
255
-8(-3%)
156
-6(-4%)

Q_Bullish forecast

Quarterly Prediction
285
172

Q_Base forecast

Quarterly Prediction
273
164

Q_Bearish forecast

Quarterly Prediction
249
154

A_Bullish forecast

Annual Prediction
305
181

A_Base forecast

Annual Prediction
281
165

A_Bearish forecast

Annual Prediction
234
145

Technical Analysis Signals 2026-11-04

MA(20,100)

Moving Avg(20,100)
NEUTRAL
BUY

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
5.25
3.08

CCI(20)

Commodity Channel Index
SELL
BUY

SAR(20)

Parabolic Stop and Reverse
BUY
SELL

ADX(14)

Average Directional Index
BUY
BUY

OBV(20)

On-Balance Volume
SELL
SELL

STOCH(K line)

Stochastic Oscillator
Overbought
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.