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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: 17.45 Buy
20-day SMA: 17.41 Buy
50-day SMA: 17.28 Buy
200-day SMA: 16.87 Buy
8-day EMA: 17.46 Buy
20-day EMA: 17.41 Buy
50-day EMA: 16.83 Buy
200-day EMA: 10.17 Buy

Global X NASDAQ 100 Covered Call ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.07 Buy
Relative Strength Index (14 RSI): 59.83 Buy
Chaikin Money Flow: 3425688 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (17.33 - 17.49) Buy
Bollinger Bands (100): (16.74 - 17.34) 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

Sell
45
Global X NASDAQ 100 Covered Call ETF (QYLD) is a Sell

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:
17.52
Share Volume:
3.4M

Global X NASDAQ 100 Covered Call ETF 52-Week Range

52-Week High:
18.89
52-Week Low:
14.48
Sell
45
Global X NASDAQ 100 Covered Call ETF (QYLD) is a Sell

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.