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Global X S&P 500® Catholic Values 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 CATH is experiencing selling pressure, which indicates risk of future bearish movement.

Global X S&P 500® Catholic Values ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 67 Buy
20-day SMA: 66.93 Buy
50-day SMA: 66.19 Buy
200-day SMA: 62.63 Buy
8-day EMA: 67.19 Buy
20-day EMA: 66.77 Buy
50-day EMA: 66.15 Buy
200-day EMA: 62.62 Buy

Global X S&P 500® Catholic Values ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.38 Buy
Relative Strength Index (14 RSI): 57.97 Buy
Chaikin Money Flow: -10917 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (66.07 - 67.63) Buy
Bollinger Bands (100): (63.33 - 67.01) Buy

Global X S&P 500® Catholic Values 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® Catholic Values ETF Stock

Is Global X S&P 500® Catholic Values ETF Stock a Buy?

CATH Technical Analysis vs Fundamental Analysis

Buy
57
Global X S&P 500® Catholic Values ETF (CATH) is a Buy

Is Global X S&P 500® Catholic Values ETF a Buy or a Sell?

Global X S&P 500® Catholic Values ETF Stock Info

Market Cap:
0
Price in USD:
67.53
Share Volume:
13.07K

Global X S&P 500® Catholic Values ETF 52-Week Range

52-Week High:
68.20
52-Week Low:
49.89
Buy
57
Global X S&P 500® Catholic Values ETF (CATH) is a Buy

Global X S&P 500® Catholic Values ETF Share Price Forecast

Is Global X S&P 500® Catholic Values ETF Stock a Buy?

Technical Analysis of Global X S&P 500® Catholic Values ETF

Should I short Global X S&P 500® Catholic Values ETF stock?

* Global X S&P 500® Catholic Values 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.