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Global X Genomics & Biotechnology 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 GNOM is experiencing slight selling pressure.

Global X Genomics & Biotechnology ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 8.77 Buy
20-day SMA: 8.5 Buy
50-day SMA: 8.14 Buy
200-day SMA: 9.36 Sell
8-day EMA: 5.66 Buy
20-day EMA: 2.94 Buy
50-day EMA: 1.32 Buy
200-day EMA: 0.35 Buy

Global X Genomics & Biotechnology ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.99 Buy
Relative Strength Index (14 RSI): 63.52 Buy
Chaikin Money Flow: -14607 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (8.22 - 8.72) Buy
Bollinger Bands (100): (7.66 - 9) Buy

Global X Genomics & Biotechnology 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 Genomics & Biotechnology ETF Stock

Is Global X Genomics & Biotechnology ETF Stock a Buy?

GNOM Technical Analysis vs Fundamental Analysis

Sell
49
Global X Genomics & Biotechnology ETF (GNOM) is a Sell

Is Global X Genomics & Biotechnology ETF a Buy or a Sell?

Global X Genomics & Biotechnology ETF Stock Info

Market Cap:
0
Price in USD:
8.85
Share Volume:
43.8K

Global X Genomics & Biotechnology ETF 52-Week Range

52-Week High:
11.88
52-Week Low:
6.80
Sell
49
Global X Genomics & Biotechnology ETF (GNOM) is a Sell

Global X Genomics & Biotechnology ETF Share Price Forecast

Is Global X Genomics & Biotechnology ETF Stock a Buy?

Technical Analysis of Global X Genomics & Biotechnology ETF

Should I short Global X Genomics & Biotechnology ETF stock?

* Global X Genomics & Biotechnology 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.