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SPDR S&P Oil & Gas Equipment & Services ETF Stock Price Chart

  • The current trend is relatively stagnant and XES is experiencing buying pressure, which is a positive indicator for future bullish movement.

SPDR S&P Oil & Gas Equipment & Services ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 70.6 Buy
20-day SMA: 70.97 Buy
50-day SMA: 77.59 Sell
200-day SMA: 83 Sell
8-day EMA: 71.08 Buy
20-day EMA: 71.99 Buy
50-day EMA: 75.47 Sell
200-day EMA: 81.31 Sell

SPDR S&P Oil & Gas Equipment & Services ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -1.74 Sell
Relative Strength Index (14 RSI): 49.05 Sell
Chaikin Money Flow: 18803 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (68.46 - 76.82) Sell
Bollinger Bands (100): (74.09 - 84.67) Sell

SPDR S&P Oil & Gas Equipment & 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 Oil & Gas Equipment & Services ETF Stock

Is SPDR S&P Oil & Gas Equipment & Services ETF Stock a Buy?

XES Technical Analysis vs Fundamental Analysis

Sell
49
SPDR S&P Oil & Gas Equipment & Services ETF (XES) is a Sell

Is SPDR S&P Oil & Gas Equipment & Services ETF a Buy or a Sell?

SPDR S&P Oil & Gas Equipment & Services ETF Stock Info

Market Cap:
0
Price in USD:
72.42
Share Volume:
20.6K

SPDR S&P Oil & Gas Equipment & Services ETF 52-Week Range

52-Week High:
99.22
52-Week Low:
66.27
Sell
49
SPDR S&P Oil & Gas Equipment & Services ETF (XES) is a Sell

SPDR S&P Oil & Gas Equipment & Services ETF Share Price Forecast

Is SPDR S&P Oil & Gas Equipment & Services ETF Stock a Buy?

Technical Analysis of SPDR S&P Oil & Gas Equipment & Services ETF

Should I short SPDR S&P Oil & Gas Equipment & Services ETF stock?

* SPDR S&P Oil & Gas Equipment & 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.