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PT Bank Rakyat Indonesia (Persero) Tbk 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 BKRKF is experiencing slight buying pressure.

PT Bank Rakyat Indonesia (Persero) Tbk Price Chart Indicators

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

PT Bank Rakyat Indonesia (Persero) Tbk Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0 Sell
Relative Strength Index (14 RSI): 49.08 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (0.34 - 0.38) Sell
Bollinger Bands (100): (0.34 - 0.38) Sell

PT Bank Rakyat 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 Rakyat Indonesia (Persero) Tbk Stock

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

BKRKF Technical Analysis vs Fundamental Analysis

Buy
52
PT Bank Rakyat Indonesia (Persero) Tbk (BKRKF) is a Buy

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

PT Bank Rakyat Indonesia (Persero) Tbk Stock Info

Market Cap:
53.68B
Price in USD:
0.36
Share Volume:
0

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

52-Week High:
0.41
52-Week Low:
0.29
Buy
52
PT Bank Rakyat Indonesia (Persero) Tbk (BKRKF) is a Buy

PT Bank Rakyat Indonesia (Persero) Tbk Share Price Forecast

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

Technical Analysis of PT Bank Rakyat Indonesia (Persero) Tbk

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

* PT Bank Rakyat 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.