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Grupo Financiero Banorte SAB de CV Stock Price Chart

  • Based on the share price being above its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bullish 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: 6.82 Buy
50-day SMA: 6.88 Buy
200-day SMA: 7.92 Sell
8-day EMA: 7.08 Buy
20-day EMA: 6.94 Buy
50-day EMA: 6.94 Buy
200-day EMA: 7.69 Sell

Grupo Financiero Banorte SAB de CV Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.09 Buy
Relative Strength Index (14 RSI): 57.77 Buy
Chaikin Money Flow: 20454 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.54 - 7.06) Buy
Bollinger Bands (100): (6.68 - 7.42) Buy

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

Sell
46
Grupo Financiero Banorte SAB de CV (GBOOF) is a Sell

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

Grupo Financiero Banorte SAB de CV Stock Info

Market Cap:
20.6B
Price in USD:
7.31
Share Volume:
20.5K

Grupo Financiero Banorte SAB de CV 52-Week Range

52-Week High:
11.35
52-Week Low:
6.10
Sell
46
Grupo Financiero Banorte SAB de CV (GBOOF) is a Sell

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.