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FIS Knights of Columbus Global Belief ETF Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and KOCG is experiencing slight buying pressure.

FIS Knights of Columbus Global Belief ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 28.63 Buy
20-day SMA: 28.86 Sell
50-day SMA: 28.59 Buy
200-day SMA: 26.88 Buy
8-day EMA: 28.72 Sell
20-day EMA: 28.75 Sell
50-day EMA: 28.52 Buy
200-day EMA: 26.92 Buy

FIS Knights of Columbus Global Belief ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.01 Buy
Relative Strength Index (14 RSI): 49.15 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (28.5 - 29.14) Sell
Bollinger Bands (100): (27.03 - 28.81) Buy

FIS Knights of Columbus Global Belief 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 FIS Knights of Columbus Global Belief ETF Stock

Is FIS Knights of Columbus Global Belief ETF Stock a Buy?

KOCG Technical Analysis vs Fundamental Analysis

Buy
57
FIS Knights of Columbus Global Belief ETF (KOCG) is a Buy

Is FIS Knights of Columbus Global Belief ETF a Buy or a Sell?

FIS Knights of Columbus Global Belief ETF Stock Info

Market Cap:
0
Price in USD:
28.69
Share Volume:
0

FIS Knights of Columbus Global Belief ETF 52-Week Range

52-Week High:
29.37
52-Week Low:
22.87
Buy
57
FIS Knights of Columbus Global Belief ETF (KOCG) is a Buy

FIS Knights of Columbus Global Belief ETF Share Price Forecast

Is FIS Knights of Columbus Global Belief ETF Stock a Buy?

Technical Analysis of FIS Knights of Columbus Global Belief ETF

Should I short FIS Knights of Columbus Global Belief ETF stock?

* FIS Knights of Columbus Global Belief 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.