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PT Bank Negara Indonesia (Persero) Tbk 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 PBNNF is experiencing slight buying pressure.

PT Bank Negara Indonesia (Persero) Tbk Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 0.37 Buy
20-day SMA: 0.37 Buy
50-day SMA: 0.35 Buy
200-day SMA: 0.37 Buy
8-day EMA: 0.39 Buy
20-day EMA: 0.37 Buy
50-day EMA: 0.36 Buy
200-day EMA: 0.36 Buy

PT Bank Negara Indonesia (Persero) Tbk Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.02 Buy
Relative Strength Index (14 RSI): 53.76 Buy
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (0.24 - 0.46) Buy
Bollinger Bands (100): (0.25 - 0.49) Buy

PT Bank Negara Indonesia (Persero) Tbk 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 PT Bank Negara Indonesia (Persero) Tbk Stock

Is PT Bank Negara Indonesia (Persero) Tbk Stock a Buy?

PBNNF Technical Analysis vs Fundamental Analysis

Buy
72
PT Bank Negara Indonesia (Persero) Tbk (PBNNF) is a Buy

Is PT Bank Negara Indonesia (Persero) Tbk a Buy or a Sell?

PT Bank Negara Indonesia (Persero) Tbk Stock Info

Market Cap:
16.54B
Price in USD:
0.44
Share Volume:
1.67K

PT Bank Negara Indonesia (Persero) Tbk 52-Week Range

52-Week High:
0.59
52-Week Low:
0.20
Buy
72
PT Bank Negara Indonesia (Persero) Tbk (PBNNF) is a Buy

PT Bank Negara Indonesia (Persero) Tbk Share Price Forecast

Is PT Bank Negara Indonesia (Persero) Tbk Stock a Buy?

Technical Analysis of PT Bank Negara Indonesia (Persero) Tbk

Should I short PT Bank Negara Indonesia (Persero) Tbk stock?

* PT Bank Negara Indonesia (Persero) Tbk stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.