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FirstTrust S&P500 DvrsDiv AristocratsETF Stock Price Chart

  • The current trend is moderately bullish and KNGZ is experiencing selling pressure, which indicates risk of future bearish movement.

FirstTrust S&P500 DvrsDiv AristocratsETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 34.34 Sell
20-day SMA: 34.14 Sell
50-day SMA: 34.03 Buy
200-day SMA: 32.02 Buy
8-day EMA: 34.25 Sell
20-day EMA: 34.19 Sell
50-day EMA: 33.91 Buy
200-day EMA: 32.21 Buy

FirstTrust S&P500 DvrsDiv AristocratsETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.07 Buy
Relative Strength Index (14 RSI): 49.36 Sell
Chaikin Money Flow: -7948 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (33.89 - 34.59) Sell
Bollinger Bands (100): (32.13 - 34.23) Buy

FirstTrust S&P500 DvrsDiv AristocratsETF 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 FirstTrust S&P500 DvrsDiv AristocratsETF Stock

Is FirstTrust S&P500 DvrsDiv AristocratsETF Stock a Buy?

KNGZ Technical Analysis vs Fundamental Analysis

Buy
69
FirstTrust S&P500 DvrsDiv AristocratsETF (KNGZ) is a Buy

Is FirstTrust S&P500 DvrsDiv AristocratsETF a Buy or a Sell?

FirstTrust S&P500 DvrsDiv AristocratsETF Stock Info

Market Cap:
0
Price in USD:
34.12
Share Volume:
5.68K

FirstTrust S&P500 DvrsDiv AristocratsETF 52-Week Range

52-Week High:
34.91
52-Week Low:
27.64
Buy
69
FirstTrust S&P500 DvrsDiv AristocratsETF (KNGZ) is a Buy

FirstTrust S&P500 DvrsDiv AristocratsETF Share Price Forecast

Is FirstTrust S&P500 DvrsDiv AristocratsETF Stock a Buy?

Technical Analysis of FirstTrust S&P500 DvrsDiv AristocratsETF

Should I short FirstTrust S&P500 DvrsDiv AristocratsETF stock?

* FirstTrust S&P500 DvrsDiv AristocratsETF stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.