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Dynamic Active Global Dividend 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 DXG.TO is experiencing selling pressure, which indicates risk of future bearish movement.

Dynamic Active Global Dividend ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 67.15 Buy
20-day SMA: 65.8 Buy
50-day SMA: 63.47 Buy
200-day SMA: 60.48 Buy
8-day EMA: 67.05 Buy
20-day EMA: 65.93 Buy
50-day EMA: 64.13 Buy
200-day EMA: 59.75 Buy

Dynamic Active Global Dividend ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.14 Buy
Relative Strength Index (14 RSI): 63.46 Buy
Chaikin Money Flow: -2642 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (64.31 - 66.95) Buy
Bollinger Bands (100): (59.39 - 64.79) Buy

Dynamic Active Global Dividend 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 Dynamic Active Global Dividend ETF Stock

Is Dynamic Active Global Dividend ETF Stock a Buy?

DXG.TO Technical Analysis vs Fundamental Analysis

Buy
67
Dynamic Active Global Dividend ETF (DXG.TO) is a Buy

Is Dynamic Active Global Dividend ETF a Buy or a Sell?

Dynamic Active Global Dividend ETF Stock Info

Market Cap:
0
Price in USD:
67.49
Share Volume:
2.91K

Dynamic Active Global Dividend ETF 52-Week Range

52-Week High:
68.28
52-Week Low:
48.14
Buy
67
Dynamic Active Global Dividend ETF (DXG.TO) is a Buy

Dynamic Active Global Dividend ETF Share Price Forecast

Is Dynamic Active Global Dividend ETF Stock a Buy?

Technical Analysis of Dynamic Active Global Dividend ETF

Should I short Dynamic Active Global Dividend ETF stock?

* Dynamic Active Global Dividend 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.