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SPDR® S&P Global Natural Resources 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 GNR is experiencing slight buying pressure.

SPDR® S&P Global Natural Resources ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 54.75 Buy
20-day SMA: 55.26 Buy
50-day SMA: 55.42 Buy
200-day SMA: 55.97 Buy
8-day EMA: 55.22 Buy
20-day EMA: 55.1 Buy
50-day EMA: 55.43 Buy
200-day EMA: 55.95 Buy

SPDR® S&P Global Natural Resources ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.04 Sell
Relative Strength Index (14 RSI): 60.59 Buy
Chaikin Money Flow: 53541 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (54.21 - 56.47) Buy
Bollinger Bands (100): (54.61 - 58.33) Buy

SPDR® S&P Global Natural Resources 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 SPDR® S&P Global Natural Resources ETF Stock

Is SPDR® S&P Global Natural Resources ETF Stock a Buy?

GNR Technical Analysis vs Fundamental Analysis

Buy
64
SPDR® S&P Global Natural Resources ETF (GNR) is a Buy

Is SPDR® S&P Global Natural Resources ETF a Buy or a Sell?

SPDR® S&P Global Natural Resources ETF Stock Info

Market Cap:
0
Price in USD:
56.55
Share Volume:
133.05K

SPDR® S&P Global Natural Resources ETF 52-Week Range

52-Week High:
60.64
52-Week Low:
51.68
Buy
64
SPDR® S&P Global Natural Resources ETF (GNR) is a Buy

SPDR® S&P Global Natural Resources ETF Share Price Forecast

Is SPDR® S&P Global Natural Resources ETF Stock a Buy?

Technical Analysis of SPDR® S&P Global Natural Resources ETF

Should I short SPDR® S&P Global Natural Resources ETF stock?

* SPDR® S&P Global Natural Resources 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.