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SPDR® S&P Health Care Services 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 XHS is experiencing buying pressure, which is a positive indicator for future bullish movement.

SPDR® S&P Health Care Services ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 93.72 Buy
20-day SMA: 94.48 Sell
50-day SMA: 95.16 Sell
200-day SMA: 92.88 Buy
8-day EMA: 93.81 Buy
20-day EMA: 94.39 Buy
50-day EMA: 94.85 Sell
200-day EMA: 93.09 Buy

SPDR® S&P Health Care Services ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.46 Sell
Relative Strength Index (14 RSI): 49.58 Sell
Chaikin Money Flow: 2685 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (92.61 - 96.33) Sell
Bollinger Bands (100): (92.83 - 97.75) Sell

SPDR® S&P Health Care Services 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 Health Care Services ETF Stock

Is SPDR® S&P Health Care Services ETF Stock a Buy?

XHS Technical Analysis vs Fundamental Analysis

Sell
46
SPDR® S&P Health Care Services ETF (XHS) is a Sell

Is SPDR® S&P Health Care Services ETF a Buy or a Sell?

SPDR® S&P Health Care Services ETF Stock Info

Market Cap:
0
Price in USD:
94.44
Share Volume:
2.69K

SPDR® S&P Health Care Services ETF 52-Week Range

52-Week High:
100.30
52-Week Low:
84.07
Sell
46
SPDR® S&P Health Care Services ETF (XHS) is a Sell

SPDR® S&P Health Care Services ETF Share Price Forecast

Is SPDR® S&P Health Care Services ETF Stock a Buy?

Technical Analysis of SPDR® S&P Health Care Services ETF

Should I short SPDR® S&P Health Care Services ETF stock?

* SPDR® S&P Health Care Services 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.