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Mackenzie Global Infrastructure Index ETF Stock Price Chart

  • The current trend is relatively stagnant and QINF.TO is experiencing slight buying pressure.

Mackenzie Global Infrastructure Index ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 156.92 Sell
20-day SMA: 159.75 Sell
50-day SMA: 160.53 Sell
200-day SMA: 150.92 Buy
8-day EMA: 156.86 Sell
20-day EMA: 158.72 Sell
50-day EMA: 155.61 Sell
200-day EMA: 96.8 Buy

Mackenzie Global Infrastructure Index ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.25 Sell
Relative Strength Index (14 RSI): 30.22 Sell
Chaikin Money Flow: 124 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (157.61 - 162.71) Sell
Bollinger Bands (100): (152.29 - 161.03) Sell

Mackenzie Global Infrastructure 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 Mackenzie Global Infrastructure Index ETF Stock

Is Mackenzie Global Infrastructure Index ETF Stock a Buy?

QINF.TO Technical Analysis vs Fundamental Analysis

Sell
25
Mackenzie Global Infrastructure Index ETF (QINF.TO) is a Sell

Is Mackenzie Global Infrastructure Index ETF a Buy or a Sell?

Mackenzie Global Infrastructure Index ETF Stock Info

Market Cap:
0
Price in USD:
155.52
Share Volume:
711

Mackenzie Global Infrastructure Index ETF 52-Week Range

52-Week High:
163.89
52-Week Low:
133.04
Sell
25
Mackenzie Global Infrastructure Index ETF (QINF.TO) is a Sell

Mackenzie Global Infrastructure Index ETF Share Price Forecast

Is Mackenzie Global Infrastructure Index ETF Stock a Buy?

Technical Analysis of Mackenzie Global Infrastructure Index ETF

Should I short Mackenzie Global Infrastructure Index ETF stock?

* Mackenzie Global Infrastructure 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.