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BMO US Aggregate Bond ETF Stock Price Chart
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ZUAG.TO
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Sell
38
ZUAG.TO
BMO US Aggregate Bond ETF
Last Price:
32.04
Seasonality Move:
0.33%
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Discover The Zero Day Loophole (BEFORE Tues at 2 p.m. ET!)- The current trend is moderately bullish and ZUAG.TO is experiencing buying pressure, which is a positive indicator for future bullish movement.
BMO US Aggregate Bond ETF Price Chart Indicators
Moving Averages | Level | Buy or Sell |
---|---|---|
8-day SMA: | 32.15 | Sell |
20-day SMA: | 31.84 | Buy |
50-day SMA: | 31.55 | Buy |
200-day SMA: | 30.78 | Buy |
8-day EMA: | 32.11 | Sell |
20-day EMA: | 31.91 | Buy |
50-day EMA: | 31.65 | Buy |
200-day EMA: | 30.96 | Buy |
BMO US Aggregate Bond ETF Technical Analysis Indicators
Chart Indicators | Level | Buy or Sell |
---|---|---|
MACD (12, 26): | 0.2 | Buy |
Relative Strength Index (14 RSI): | 60.1 | Buy |
Chaikin Money Flow: | 760 | - |
Bollinger Bands | Level | Buy or Sell |
---|---|---|
Bollinger Bands (25): | (31.44 - 32.08) | Buy |
Bollinger Bands (100): | (31.04 - 31.84) | Buy |
BMO US Aggregate Bond ETF Technical Analysis
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200-day SMA: | ||||||||||
8-day EMA: | ||||||||||
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Bollinger Bands (100): |
Technical Analysis for BMO US Aggregate Bond ETF Stock
Is BMO US Aggregate Bond ETF Stock a Buy?
- BMO US Aggregate Bond ETF share price is 32.04 while ZUAG.TO 8-day simple moving average is 32.15, which is a Sell signal.
- The stock price of ZUAG.TO is 32.04 while BMO US Aggregate Bond ETF 20-day SMA is 31.84, which makes it a Buy.
- BMO US Aggregate Bond ETF 50-day simple moving average is 31.55 while ZUAG.TO share price is 32.04, making it a Buy technically.
- ZUAG.TO stock price is 32.04 and BMO US Aggregate Bond ETF 200-day simple moving average is 30.78, creating a Buy signal.
ZUAG.TO Technical Analysis vs Fundamental Analysis
Sell
38
BMO US Aggregate Bond ETF (ZUAG.TO)
is a Sell
Is BMO US Aggregate Bond ETF a Buy or a Sell?
-
BMO US Aggregate Bond ETF stock is rated a Sell
The current BMO US Aggregate Bond ETF [ZUAG.TO] share price is $32.04. The Score for ZUAG.TO is 38, which is 24% below its historic median score of 50, and infers higher risk than normal.
BMO US Aggregate Bond ETF Stock Info
Market Cap:
0
Price in USD:
32.04
Share Volume:
760
BMO US Aggregate Bond ETF 52-Week Range
52-Week High:
32.31
52-Week Low:
29.69
Sell
38
BMO US Aggregate Bond ETF (ZUAG.TO)
is a Sell
BMO US Aggregate Bond ETF Share Price Forecast
-
What is the BMO US Aggregate Bond ETF stock price today?
The BMO US Aggregate Bond ETF stock price is 32.04 USD today. -
Will ZUAG.TO stock go up or go down?
BMO US Aggregate Bond ETF> share price is forecast to RISE/FALL based on technical indicators -
Is BMO US Aggregate Bond ETF overvalued?
According to simple moving average, exponential moving average, oscillators, and other technical indicators, BMO US Aggregate Bond ETF is overvalued.
Is BMO US Aggregate Bond ETF Stock a Buy?
- BMO US Aggregate Bond ETF share price is 32.04 while ZUAG.TO 8-day exponential moving average is 32.11, which is a Sell signal.
- The stock price of ZUAG.TO is 32.04 while BMO US Aggregate Bond ETF 20-day EMA is 31.91, which makes it a Buy.
- BMO US Aggregate Bond ETF 50-day exponential moving average is 31.65 while ZUAG.TO share price is 32.04, making it a Buy technically.
- ZUAG.TO stock price is 32.04 and BMO US Aggregate Bond ETF 200-day simple moving average is 30.96, creating a Buy signal.
Technical Analysis of BMO US Aggregate Bond ETF
Should I short BMO US Aggregate Bond ETF stock?
- ZUAG.TO Moving Average Covergence Divergence (MACD) indicator is 0.2, suggesting BMO US Aggregate Bond ETF is a Buy
- BMO US Aggregate Bond ETF Relative Strength Index (RSI) is 60.1, which suggest BMO US Aggregate Bond ETF is overbought
- The Bollinger Bands (25) for BMO US Aggregate Bond ETF is (31.44 - 32.08), which suggest BMO US Aggregate Bond ETF is a Buy
- The Bollinger Bands (100) for BMO US Aggregate Bond ETF is (31.04 - 31.84), which suggest BMO US Aggregate Bond ETF is a Buy
* BMO US Aggregate Bond 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.