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Invesco New York AMT-Free Muni Bd ETF 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 PZT is experiencing slight selling pressure.

Invesco New York AMT-Free Muni Bd ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 22.93 Buy
20-day SMA: 22.95 Buy
50-day SMA: 23.17 Sell
200-day SMA: 23.05 Sell
8-day EMA: 22.96 Buy
20-day EMA: 22.99 Buy
50-day EMA: 23.08 Sell
200-day EMA: 23 Buy

Invesco New York AMT-Free Muni Bd ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.05 Sell
Relative Strength Index (14 RSI): 49.35 Sell
Chaikin Money Flow: -6096 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (22.87 - 23.13) Buy
Bollinger Bands (100): (23.01 - 23.35) Sell

Invesco New York 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 New York AMT-Free Muni Bd ETF Stock

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

PZT Technical Analysis vs Fundamental Analysis

Buy
55
Invesco New York AMT-Free Muni Bd ETF (PZT) is a Buy

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

Invesco New York AMT-Free Muni Bd ETF Stock Info

Market Cap:
0
Price in USD:
23.01
Share Volume:
14.25K

Invesco New York AMT-Free Muni Bd ETF 52-Week Range

52-Week High:
23.89
52-Week Low:
21.77
Buy
55
Invesco New York AMT-Free Muni Bd ETF (PZT) is a Buy

Invesco New York AMT-Free Muni Bd ETF Share Price Forecast

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

Technical Analysis of Invesco New York AMT-Free Muni Bd ETF

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

* Invesco New York 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.