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Global X S&P 500 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 XCLR is experiencing buying pressure, which is a positive indicator for future bullish movement.

Global X S&P 500 Collar 95-110 ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 33.15 Sell
20-day SMA: 33.39 Sell
50-day SMA: 32.96 Buy
200-day SMA: 31.08 Buy
8-day EMA: 33.19 Sell
20-day EMA: 33.23 Sell
50-day EMA: 32.92 Buy
200-day EMA: 31.12 Buy

Global X S&P 500 Collar 95-110 ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.04 Buy
Relative Strength Index (14 RSI): 47.7 Sell
Chaikin Money Flow: 1114 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (32.96 - 33.66) Sell
Bollinger Bands (100): (31.17 - 33.17) Buy

Global X S&P 500 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 S&P 500 Collar 95-110 ETF Stock

Is Global X S&P 500 Collar 95-110 ETF Stock a Buy?

XCLR Technical Analysis vs Fundamental Analysis

Buy
60
Global X S&P 500 Collar 95-110 ETF (XCLR) is a Buy

Is Global X S&P 500 Collar 95-110 ETF a Buy or a Sell?

Global X S&P 500 Collar 95-110 ETF Stock Info

Market Cap:
0
Price in USD:
33.08
Share Volume:
1.1K

Global X S&P 500 Collar 95-110 ETF 52-Week Range

52-Week High:
33.84
52-Week Low:
26.81
Buy
60
Global X S&P 500 Collar 95-110 ETF (XCLR) is a Buy

Global X S&P 500 Collar 95-110 ETF Share Price Forecast

Is Global X S&P 500 Collar 95-110 ETF Stock a Buy?

Technical Analysis of Global X S&P 500 Collar 95-110 ETF

Should I short Global X S&P 500 Collar 95-110 ETF stock?

* Global X S&P 500 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.