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Kimberly - Clark de Mexico SAB de CV Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and KCDMY is experiencing selling pressure, which indicates risk of future bearish movement.

Kimberly - Clark de Mexico SAB de CV Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 6.99 Sell
20-day SMA: 7.11 Sell
50-day SMA: 7.65 Sell
200-day SMA: 9.46 Sell
8-day EMA: 7.01 Sell
20-day EMA: 7.16 Sell
50-day EMA: 7.58 Sell
200-day EMA: 8.92 Sell

Kimberly - Clark de Mexico SAB de CV Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.2 Sell
Relative Strength Index (14 RSI): 34.67 Sell
Chaikin Money Flow: -91516 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.98 - 7.36) Sell
Bollinger Bands (100): (7.48 - 8.94) Sell

Kimberly - Clark de Mexico 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 Kimberly - Clark de Mexico SAB de CV Stock

Is Kimberly - Clark de Mexico SAB de CV Stock a Buy?

KCDMY Technical Analysis vs Fundamental Analysis

Sell
22
Kimberly - Clark de Mexico SAB de CV (KCDMY) is a Sell

Is Kimberly - Clark de Mexico SAB de CV a Buy or a Sell?

Kimberly - Clark de Mexico SAB de CV Stock Info

Market Cap:
4.19B
Price in USD:
6.85
Share Volume:
184.43K

Kimberly - Clark de Mexico SAB de CV 52-Week Range

52-Week High:
12.30
52-Week Low:
6.80
Sell
22
Kimberly - Clark de Mexico SAB de CV (KCDMY) is a Sell

Kimberly - Clark de Mexico SAB de CV Share Price Forecast

Is Kimberly - Clark de Mexico SAB de CV Stock a Buy?

Technical Analysis of Kimberly - Clark de Mexico SAB de CV

Should I short Kimberly - Clark de Mexico SAB de CV stock?

* Kimberly - Clark de Mexico 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.