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Global X NASDAQ 100® Collar 95-110 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 QCLR is experiencing slight buying pressure.

Global X NASDAQ 100® Collar 95-110 ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 31.32 Buy
20-day SMA: 30.8 Buy
50-day SMA: 30.31 Buy
200-day SMA: 29.2 Buy
8-day EMA: 31.21 Buy
20-day EMA: 30.9 Buy
50-day EMA: 30.45 Buy
200-day EMA: 29.05 Buy

Global X NASDAQ 100® Collar 95-110 ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.31 Buy
Relative Strength Index (14 RSI): 67.14 Buy
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (30.3 - 31.16) Buy
Bollinger Bands (100): (29.33 - 30.75) Buy

Global X NASDAQ 100® Collar 95-110 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® Collar 95-110 ETF Stock

Is Global X NASDAQ 100® Collar 95-110 ETF Stock a Buy?

QCLR Technical Analysis vs Fundamental Analysis

Buy
68
Global X NASDAQ 100® Collar 95-110 ETF (QCLR) is a Buy

Is Global X NASDAQ 100® Collar 95-110 ETF a Buy or a Sell?

Global X NASDAQ 100® Collar 95-110 ETF Stock Info

Market Cap:
0
Price in USD:
31.36
Share Volume:
0

Global X NASDAQ 100® Collar 95-110 ETF 52-Week Range

52-Week High:
31.37
52-Week Low:
25.06
Buy
68
Global X NASDAQ 100® Collar 95-110 ETF (QCLR) is a Buy

Global X NASDAQ 100® Collar 95-110 ETF Share Price Forecast

Is Global X NASDAQ 100® Collar 95-110 ETF Stock a Buy?

Technical Analysis of Global X NASDAQ 100® Collar 95-110 ETF

Should I short Global X NASDAQ 100® Collar 95-110 ETF stock?

* Global X NASDAQ 100® Collar 95-110 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.