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iShares Core MSCI US Quality Div 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 XDU.TO is experiencing buying pressure, which is a positive indicator for future bullish movement.

iShares Core MSCI US Quality Div ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 32.19 Buy
20-day SMA: 32.04 Buy
50-day SMA: 31.4 Buy
200-day SMA: 29.61 Buy
8-day EMA: 32.26 Buy
20-day EMA: 32.01 Buy
50-day EMA: 31.48 Buy
200-day EMA: 29.74 Buy

iShares Core MSCI US Quality Div ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.26 Buy
Relative Strength Index (14 RSI): 63.32 Buy
Chaikin Money Flow: 1515 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (31.72 - 32.36) Buy
Bollinger Bands (100): (29.53 - 31.63) Buy

iShares Core MSCI US Quality Div 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 iShares Core MSCI US Quality Div ETF Stock

Is iShares Core MSCI US Quality Div ETF Stock a Buy?

XDU.TO Technical Analysis vs Fundamental Analysis

Buy
64
iShares Core MSCI US Quality Div ETF (XDU.TO) is a Buy

Is iShares Core MSCI US Quality Div ETF a Buy or a Sell?

iShares Core MSCI US Quality Div ETF Stock Info

Market Cap:
0
Price in USD:
32.48
Share Volume:
1.52K

iShares Core MSCI US Quality Div ETF 52-Week Range

52-Week High:
32.76
52-Week Low:
25.85
Buy
64
iShares Core MSCI US Quality Div ETF (XDU.TO) is a Buy

iShares Core MSCI US Quality Div ETF Share Price Forecast

Is iShares Core MSCI US Quality Div ETF Stock a Buy?

Technical Analysis of iShares Core MSCI US Quality Div ETF

Should I short iShares Core MSCI US Quality Div ETF stock?

* iShares Core MSCI US Quality Div 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.