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Global X Big Data & Hardware Index 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 HBGD.TO is experiencing slight buying pressure.

Global X Big Data & Hardware Index ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 50.13 Buy
20-day SMA: 48.49 Buy
50-day SMA: 48.96 Buy
200-day SMA: 38.36 Buy
8-day EMA: 50.49 Buy
20-day EMA: 49.06 Buy
50-day EMA: 48.03 Buy
200-day EMA: 40.91 Buy

Global X Big Data & Hardware Index ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.99 Buy
Relative Strength Index (14 RSI): 65.4 Buy
Chaikin Money Flow: 1013 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (46.14 - 50.4) Buy
Bollinger Bands (100): (40.65 - 51.79) Buy

Global X Big Data & Hardware 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 Global X Big Data & Hardware Index ETF Stock

Is Global X Big Data & Hardware Index ETF Stock a Buy?

HBGD.TO Technical Analysis vs Fundamental Analysis

Buy
90
Global X Big Data & Hardware Index ETF (HBGD.TO) is a Buy

Is Global X Big Data & Hardware Index ETF a Buy or a Sell?

Global X Big Data & Hardware Index ETF Stock Info

Market Cap:
0
Price in USD:
51.87
Share Volume:
2K

Global X Big Data & Hardware Index ETF 52-Week Range

52-Week High:
55.00
52-Week Low:
20.50
Buy
90
Global X Big Data & Hardware Index ETF (HBGD.TO) is a Buy

Global X Big Data & Hardware Index ETF Share Price Forecast

Is Global X Big Data & Hardware Index ETF Stock a Buy?

Technical Analysis of Global X Big Data & Hardware Index ETF

Should I short Global X Big Data & Hardware Index ETF stock?

* Global X Big Data & Hardware 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.