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BMO MSCI All Country World High Qual ETF Stock Price Chart

  • The current trend is moderately bullish and ZGQ.TO is experiencing buying pressure, which is a positive indicator for future bullish movement.

BMO MSCI All Country World High Qual ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 70.1 Buy
20-day SMA: 69.94 Buy
50-day SMA: 68.62 Buy
200-day SMA: 65.31 Buy
8-day EMA: 70.26 Buy
20-day EMA: 69.84 Buy
50-day EMA: 68.97 Buy
200-day EMA: 64.88 Buy

BMO MSCI All Country World High Qual ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.44 Buy
Relative Strength Index (14 RSI): 59.35 Buy
Chaikin Money Flow: 10111 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (69.3 - 70.54) Buy
Bollinger Bands (100): (66.35 - 69.49) Buy

BMO MSCI All Country World High Qual 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 BMO MSCI All Country World High Qual ETF Stock

Is BMO MSCI All Country World High Qual ETF Stock a Buy?

ZGQ.TO Technical Analysis vs Fundamental Analysis

Buy
71
BMO MSCI All Country World High Qual ETF (ZGQ.TO) is a Buy

Is BMO MSCI All Country World High Qual ETF a Buy or a Sell?

BMO MSCI All Country World High Qual ETF Stock Info

Market Cap:
0
Price in USD:
70.52
Share Volume:
13.6K

BMO MSCI All Country World High Qual ETF 52-Week Range

52-Week High:
70.85
52-Week Low:
53.59
Buy
71
BMO MSCI All Country World High Qual ETF (ZGQ.TO) is a Buy

BMO MSCI All Country World High Qual ETF Share Price Forecast

Is BMO MSCI All Country World High Qual ETF Stock a Buy?

Technical Analysis of BMO MSCI All Country World High Qual ETF

Should I short BMO MSCI All Country World High Qual ETF stock?

* BMO MSCI All Country World High Qual 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.