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Grupo Financiero Banorte 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 GBOOF is experiencing buying pressure, which is a positive indicator for future bullish movement.

Grupo Financiero Banorte SAB de CV Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 7.06 Buy
20-day SMA: 7.01 Buy
50-day SMA: 7.26 Sell
200-day SMA: 8.68 Sell
8-day EMA: 7.04 Buy
20-day EMA: 7.08 Buy
50-day EMA: 7.22 Sell
200-day EMA: 8.11 Sell

Grupo Financiero Banorte SAB de CV Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.06 Sell
Relative Strength Index (14 RSI): 51.01 Buy
Chaikin Money Flow: 87684 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.79 - 7.33) Buy
Bollinger Bands (100): (6.9 - 7.94) Sell

Grupo Financiero Banorte 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 Grupo Financiero Banorte SAB de CV Stock

Is Grupo Financiero Banorte SAB de CV Stock a Buy?

GBOOF Technical Analysis vs Fundamental Analysis

Buy
57
Grupo Financiero Banorte SAB de CV (GBOOF) is a Buy

Is Grupo Financiero Banorte SAB de CV a Buy or a Sell?

Grupo Financiero Banorte SAB de CV Stock Info

Market Cap:
20.21B
Price in USD:
7.18
Share Volume:
87.68K

Grupo Financiero Banorte SAB de CV 52-Week Range

52-Week High:
11.35
52-Week Low:
6.40
Buy
57
Grupo Financiero Banorte SAB de CV (GBOOF) is a Buy

Grupo Financiero Banorte SAB de CV Share Price Forecast

Is Grupo Financiero Banorte SAB de CV Stock a Buy?

Technical Analysis of Grupo Financiero Banorte SAB de CV

Should I short Grupo Financiero Banorte SAB de CV stock?

* Grupo Financiero Banorte 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.