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SPDR Portfolio Developed World ex-US 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 SPDW is experiencing slight buying pressure.

SPDR Portfolio Developed World ex-US ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 46.66 Buy
20-day SMA: 45.97 Buy
50-day SMA: 44.74 Buy
200-day SMA: 41.89 Buy
8-day EMA: 10.52 Buy
20-day EMA: 4.51 Buy
50-day EMA: 1.86 Buy
200-day EMA: 0.47 Buy

SPDR Portfolio Developed World ex-US ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 3.78 Buy
Relative Strength Index (14 RSI): 69.62 Buy
Chaikin Money Flow: 419947 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): ( - ) Buy
Bollinger Bands (100): ( - ) Buy

SPDR Portfolio Developed World ex-US 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 Portfolio Developed World ex-US ETF Stock

Is SPDR Portfolio Developed World ex-US ETF Stock a Buy?

SPDW Technical Analysis vs Fundamental Analysis

Buy
60
SPDR Portfolio Developed World ex-US ETF (SPDW) is a Buy

Is SPDR Portfolio Developed World ex-US ETF a Buy or a Sell?

SPDR Portfolio Developed World ex-US ETF Stock Info

Market Cap:
0
Price in USD:
47.34
Share Volume:
6.5M

SPDR Portfolio Developed World ex-US ETF 52-Week Range

52-Week High:
47.77
52-Week Low:
32.30
Buy
60
SPDR Portfolio Developed World ex-US ETF (SPDW) is a Buy

SPDR Portfolio Developed World ex-US ETF Share Price Forecast

Is SPDR Portfolio Developed World ex-US ETF Stock a Buy?

Technical Analysis of SPDR Portfolio Developed World ex-US ETF

Should I short SPDR Portfolio Developed World ex-US ETF stock?

* SPDR Portfolio Developed World ex-US 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.