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SPDR S&P Emerging Markets ex-China 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 XCNY is experiencing slight buying pressure.

SPDR S&P Emerging Markets ex-China ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 24.87 Sell
20-day SMA: 24.86 Sell
50-day SMA: 25.08 Sell
200-day SMA: 0 Buy
8-day EMA: 24.7 Sell
20-day EMA: 24.85 Sell
50-day EMA: 25.06 Sell
200-day EMA: 4.3 Buy

SPDR S&P Emerging Markets ex-China ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.12 Sell
Relative Strength Index (14 RSI): 38.11 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (24.61 - 25.13) Sell
Bollinger Bands (100): ( - ) Buy

SPDR S&P Emerging Markets ex-China 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 Emerging Markets ex-China ETF Stock

Is SPDR S&P Emerging Markets ex-China ETF Stock a Buy?

XCNY Technical Analysis vs Fundamental Analysis

Sell
28
SPDR S&P Emerging Markets ex-China ETF (XCNY) is a Sell

Is SPDR S&P Emerging Markets ex-China ETF a Buy or a Sell?

SPDR S&P Emerging Markets ex-China ETF Stock Info

Market Cap:
0
Price in USD:
24.45
Share Volume:
0

SPDR S&P Emerging Markets ex-China ETF 52-Week Range

52-Week High:
26.54
52-Week Low:
24.44
Sell
28
SPDR S&P Emerging Markets ex-China ETF (XCNY) is a Sell

SPDR S&P Emerging Markets ex-China ETF Share Price Forecast

Is SPDR S&P Emerging Markets ex-China ETF Stock a Buy?

Technical Analysis of SPDR S&P Emerging Markets ex-China ETF

Should I short SPDR S&P Emerging Markets ex-China ETF stock?

* SPDR S&P Emerging Markets ex-China 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.