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SPDR S&P Global Natural Resources ETF Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and GNR is experiencing buying pressure, which is a positive indicator for future bullish movement.

SPDR S&P Global Natural Resources ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 50.95 Sell
20-day SMA: 53.15 Sell
50-day SMA: 54.62 Sell
200-day SMA: 56.3 Sell
8-day EMA: 50.69 Sell
20-day EMA: 52.44 Sell
50-day EMA: 54.03 Sell
200-day EMA: 55.48 Sell

SPDR S&P Global Natural Resources ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.47 Sell
Relative Strength Index (14 RSI): 27.33 Sell
Chaikin Money Flow: 641546 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (51.42 - 55.52) Sell
Bollinger Bands (100): (53.31 - 57.09) Sell

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

Sell
27
SPDR S&P Global Natural Resources ETF (GNR) is a Sell

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:
49.59
Share Volume:
756K

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

52-Week High:
60.64
52-Week Low:
48.54
Sell
27
SPDR S&P Global Natural Resources ETF (GNR) is a Sell

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.