Financhill
Back

BMO S&P/TSX Capped Composite Index 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 ZCN.TO is experiencing slight buying pressure.

BMO S&P/TSX Capped Composite Index ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 43 Buy
20-day SMA: 42.71 Buy
50-day SMA: 41.66 Buy
200-day SMA: 37.75 Buy
8-day EMA: 43.13 Buy
20-day EMA: 42.71 Buy
50-day EMA: 41.84 Buy
200-day EMA: 38.52 Buy

BMO S&P/TSX Capped Composite Index ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.46 Buy
Relative Strength Index (14 RSI): 67 Buy
Chaikin Money Flow: 47216 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (42.06 - 43.06) Buy
Bollinger Bands (100): (39.09 - 42.11) Buy

BMO S&P/TSX Capped Composite Index 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 S&P/TSX Capped Composite Index ETF Stock

Is BMO S&P/TSX Capped Composite Index ETF Stock a Buy?

ZCN.TO Technical Analysis vs Fundamental Analysis

Buy
82
BMO S&P/TSX Capped Composite Index ETF (ZCN.TO) is a Buy

Is BMO S&P/TSX Capped Composite Index ETF a Buy or a Sell?

BMO S&P/TSX Capped Composite Index ETF Stock Info

Market Cap:
0
Price in USD:
43.64
Share Volume:
153.5K

BMO S&P/TSX Capped Composite Index ETF 52-Week Range

52-Week High:
43.73
52-Week Low:
29.70
Buy
82
BMO S&P/TSX Capped Composite Index ETF (ZCN.TO) is a Buy

BMO S&P/TSX Capped Composite Index ETF Share Price Forecast

Is BMO S&P/TSX Capped Composite Index ETF Stock a Buy?

Technical Analysis of BMO S&P/TSX Capped Composite Index ETF

Should I short BMO S&P/TSX Capped Composite Index ETF stock?

* BMO S&P/TSX Capped Composite Index 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.