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Invesco National AMT-Free Muni Bd 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 PZA is experiencing slight selling pressure.

Invesco National AMT-Free Muni Bd ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 24.13 Buy
20-day SMA: 24.03 Buy
50-day SMA: 23.97 Buy
200-day SMA: 23.84 Buy
8-day EMA: 24.12 Buy
20-day EMA: 24.06 Buy
50-day EMA: 23.97 Buy
200-day EMA: 23.74 Buy

Invesco National AMT-Free Muni Bd ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.06 Buy
Relative Strength Index (14 RSI): 61.51 Buy
Chaikin Money Flow: 44936 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (23.9 - 24.12) Buy
Bollinger Bands (100): (23.63 - 24.03) Buy

Invesco National AMT-Free Muni Bd 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 Invesco National AMT-Free Muni Bd ETF Stock

Is Invesco National AMT-Free Muni Bd ETF Stock a Buy?

PZA Technical Analysis vs Fundamental Analysis

Sell
38
Invesco National AMT-Free Muni Bd ETF (PZA) is a Sell

Is Invesco National AMT-Free Muni Bd ETF a Buy or a Sell?

Invesco National AMT-Free Muni Bd ETF Stock Info

Market Cap:
0
Price in USD:
24.15
Share Volume:
674.04K

Invesco National AMT-Free Muni Bd ETF 52-Week Range

52-Week High:
24.29
52-Week Low:
21.69
Sell
38
Invesco National AMT-Free Muni Bd ETF (PZA) is a Sell

Invesco National AMT-Free Muni Bd ETF Share Price Forecast

Is Invesco National AMT-Free Muni Bd ETF Stock a Buy?

Technical Analysis of Invesco National AMT-Free Muni Bd ETF

Should I short Invesco National AMT-Free Muni Bd ETF stock?

* Invesco National AMT-Free Muni Bd 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.