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Coca-Cola Femsa SAB de CV Stock Price Chart

  • The current trend is moderately bearish and KOF is experiencing slight selling pressure.

Coca-Cola Femsa SAB de CV Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 86.62 Sell
20-day SMA: 84.83 Sell
50-day SMA: 83.94 Buy
200-day SMA: 78.66 Buy
8-day EMA: 86.07 Sell
20-day EMA: 85.32 Sell
50-day EMA: 84.59 Buy
200-day EMA: 78.65 Buy

Coca-Cola Femsa SAB de CV Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.79 Buy
Relative Strength Index (14 RSI): 48.76 Sell
Chaikin Money Flow: -36749 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (82.15 - 86.57) Buy
Bollinger Bands (100): (82.61 - 87.55) Sell

Coca-Cola Femsa SAB de CV Technical Analysis

Technical Analysis: Buy or Sell?
8-day SMA:
20-day SMA:
50-day SMA:
200-day SMA:
8-day EMA:
20-day EMA:
50-day EMA:
200-day EMA:
MACD (12, 26):
Relative Strength Index (14 RSI):
Bollinger Bands (25):
Bollinger Bands (100):

Technical Analysis for Coca-Cola Femsa SAB de CV Stock

Is Coca-Cola Femsa SAB de CV Stock a Buy?

KOF Technical Analysis vs Fundamental Analysis

Buy
57
Coca-Cola Femsa SAB de CV (KOF) is a Buy

Is Coca-Cola Femsa SAB de CV a Buy or a Sell?

Coca-Cola Femsa SAB de CV Stock Info

Market Cap:
17.79B
Price in USD:
84.69
Share Volume:
109.36K

Coca-Cola Femsa SAB de CV 52-Week Range

52-Week High:
91.23
52-Week Low:
55.84
Buy
57
Coca-Cola Femsa SAB de CV (KOF) is a Buy

Coca-Cola Femsa SAB de CV Share Price Forecast

Is Coca-Cola Femsa SAB de CV Stock a Buy?

Fundamental Analysis of Coca-Cola Femsa SAB de CV

Is Coca-Cola Femsa SAB de CV a good investment?

  • Analysts estimate an earnings increase this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.95 per share, and an increase next year of $1.04 per share.

Technical Analysis of Coca-Cola Femsa SAB de CV

Should I short Coca-Cola Femsa SAB de CV stock?

* Coca-Cola Femsa SAB de CV stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.