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Invesco National AMT-Free Municipal Bond ETF Stock Price Chart

  • The current trend is relatively stagnant and PZA is experiencing slight buying pressure.

Invesco National AMT-Free Municipal Bond ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 22.67 Buy
20-day SMA: 22.58 Buy
50-day SMA: 22.84 Sell
200-day SMA: 23.59 Sell
8-day EMA: 22.64 Buy
20-day EMA: 22.65 Buy
50-day EMA: 22.84 Sell
200-day EMA: 23.37 Sell

Invesco National AMT-Free Municipal Bond ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.04 Sell
Relative Strength Index (14 RSI): 49.61 Sell
Chaikin Money Flow: 180261 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (22.4 - 22.7) Buy
Bollinger Bands (100): (22.75 - 23.67) Sell

Invesco National AMT-Free Municipal Bond 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 Municipal Bond ETF Stock

Is Invesco National AMT-Free Municipal Bond ETF Stock a Buy?

PZA Technical Analysis vs Fundamental Analysis

Sell
50
Invesco National AMT-Free Municipal Bond ETF (PZA) is a Sell

Is Invesco National AMT-Free Municipal Bond ETF a Buy or a Sell?

Invesco National AMT-Free Municipal Bond ETF Stock Info

Market Cap:
0
Price in USD:
22.67
Share Volume:
1.3M

Invesco National AMT-Free Municipal Bond ETF 52-Week Range

52-Week High:
24.34
52-Week Low:
21.49
Sell
50
Invesco National AMT-Free Municipal Bond ETF (PZA) is a Sell

Invesco National AMT-Free Municipal Bond ETF Share Price Forecast

Is Invesco National AMT-Free Municipal Bond ETF Stock a Buy?

Technical Analysis of Invesco National AMT-Free Municipal Bond ETF

Should I short Invesco National AMT-Free Municipal Bond ETF stock?

* Invesco National AMT-Free Municipal Bond 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.