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Global X 0-3 Month U.S. T-Bill 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 UBIL.U.TO is experiencing buying pressure, which is a positive indicator for future bullish movement.

Global X 0-3 Month U.S. T-Bill ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 50.05 Buy
20-day SMA: 50.02 Buy
50-day SMA: 50.04 Buy
200-day SMA: 50.05 Buy
8-day EMA: 35.81 Buy
20-day EMA: 19.71 Buy
50-day EMA: 9.08 Buy
200-day EMA: 2.44 Buy

Global X 0-3 Month U.S. T-Bill ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 12.36 Buy
Relative Strength Index (14 RSI): 67.36 Buy
Chaikin Money Flow: 3847 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (49.98 - 50.08) Buy
Bollinger Bands (100): (49.99 - 50.09) Buy

Global X 0-3 Month U.S. T-Bill 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 Global X 0-3 Month U.S. T-Bill ETF Stock

Is Global X 0-3 Month U.S. T-Bill ETF Stock a Buy?

UBIL.U.TO Technical Analysis vs Fundamental Analysis

Sell
37
Global X 0-3 Month U.S. T-Bill ETF (UBIL.U.TO) is a Sell

Is Global X 0-3 Month U.S. T-Bill ETF a Buy or a Sell?

Global X 0-3 Month U.S. T-Bill ETF Stock Info

Market Cap:
0
Price in USD:
50.09
Share Volume:
3.8K

Global X 0-3 Month U.S. T-Bill ETF 52-Week Range

52-Week High:
50.20
52-Week Low:
49.93
Sell
37
Global X 0-3 Month U.S. T-Bill ETF (UBIL.U.TO) is a Sell

Global X 0-3 Month U.S. T-Bill ETF Share Price Forecast

Is Global X 0-3 Month U.S. T-Bill ETF Stock a Buy?

Technical Analysis of Global X 0-3 Month U.S. T-Bill ETF

Should I short Global X 0-3 Month U.S. T-Bill ETF stock?

* Global X 0-3 Month U.S. T-Bill 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.