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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 Buy
50-day SMA: 7.27 Sell
200-day SMA: 8.66 Sell
8-day EMA: 7.05 Buy
20-day EMA: 7.08 Sell
50-day EMA: 7.22 Sell
200-day EMA: 8.1 Sell

Grupo Financiero Banorte SAB de CV Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.05 Sell
Relative Strength Index (14 RSI): 49.4 Sell
Chaikin Money Flow: 11079 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.79 - 7.29) Buy
Bollinger Bands (100): (6.9 - 7.92) 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
55
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:
19.9B
Price in USD:
7.07
Share Volume:
20.23K

Grupo Financiero Banorte SAB de CV 52-Week Range

52-Week High:
11.35
52-Week Low:
6.40
Buy
55
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.