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Global X NASDAQ 100 Covered Call 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 QYLD is experiencing buying pressure, which is a positive indicator for future bullish movement.

Global X NASDAQ 100 Covered Call ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 18.43 Buy
20-day SMA: 18.33 Buy
50-day SMA: 18.27 Buy
200-day SMA: 17.84 Buy
8-day EMA: 18.47 Buy
20-day EMA: 18.37 Buy
50-day EMA: 18.25 Buy
200-day EMA: 17.9 Buy

Global X NASDAQ 100 Covered Call ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.08 Buy
Relative Strength Index (14 RSI): 75.26 Buy
Chaikin Money Flow: 1810607 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (18.1 - 18.44) Buy
Bollinger Bands (100): (17.55 - 18.43) Buy

Global X NASDAQ 100 Covered Call 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 Global X NASDAQ 100 Covered Call ETF Stock

Is Global X NASDAQ 100 Covered Call ETF Stock a Buy?

QYLD Technical Analysis vs Fundamental Analysis

Buy
72
Global X NASDAQ 100 Covered Call ETF (QYLD) is a Buy

Is Global X NASDAQ 100 Covered Call ETF a Buy or a Sell?

Global X NASDAQ 100 Covered Call ETF Stock Info

Market Cap:
0
Price in USD:
18.78
Share Volume:
2.1M

Global X NASDAQ 100 Covered Call ETF 52-Week Range

52-Week High:
18.79
52-Week Low:
15.91
Buy
72
Global X NASDAQ 100 Covered Call ETF (QYLD) is a Buy

Global X NASDAQ 100 Covered Call ETF Share Price Forecast

Is Global X NASDAQ 100 Covered Call ETF Stock a Buy?

Technical Analysis of Global X NASDAQ 100 Covered Call ETF

Should I short Global X NASDAQ 100 Covered Call ETF stock?

* Global X NASDAQ 100 Covered Call 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.