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Capital Group Municipal Income ETF 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 CGMU is experiencing buying pressure, which is a positive indicator for future bullish movement.

Capital Group Municipal Income ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 27.46 Buy
20-day SMA: 27.4 Buy
50-day SMA: 27.28 Buy
200-day SMA: 27.02 Buy
8-day EMA: 27.46 Buy
20-day EMA: 27.4 Buy
50-day EMA: 27.28 Buy
200-day EMA: 26.96 Buy

Capital Group Municipal Income ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.06 Buy
Relative Strength Index (14 RSI): 65.64 Buy
Chaikin Money Flow: 166507 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (27.31 - 27.45) Buy
Bollinger Bands (100): (26.83 - 27.31) Buy

Capital Group Municipal Income ETF 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 Capital Group Municipal Income ETF Stock

Is Capital Group Municipal Income ETF Stock a Buy?

CGMU Technical Analysis vs Fundamental Analysis

Sell
50
Capital Group Municipal Income ETF (CGMU) is a Sell

Is Capital Group Municipal Income ETF a Buy or a Sell?

Capital Group Municipal Income ETF Stock Info

Market Cap:
0
Price in USD:
27.49
Share Volume:
276.04K

Capital Group Municipal Income ETF 52-Week Range

52-Week High:
27.54
52-Week Low:
25.32
Sell
50
Capital Group Municipal Income ETF (CGMU) is a Sell

Capital Group Municipal Income ETF Share Price Forecast

Is Capital Group Municipal Income ETF Stock a Buy?

Technical Analysis of Capital Group Municipal Income ETF

Should I short Capital Group Municipal Income ETF stock?

* Capital Group Municipal Income ETF stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.