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ProShares S&P 500 Ex-Financials 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 SPXN is experiencing selling pressure, which indicates risk of future bearish movement.

ProShares S&P 500 Ex-Financials ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 63.8 Sell
20-day SMA: 64.54 Sell
50-day SMA: 63.6 Sell
200-day SMA: 59.7 Buy
8-day EMA: 63.92 Sell
20-day EMA: 64.13 Sell
50-day EMA: 63.54 Sell
200-day EMA: 59.7 Buy

ProShares S&P 500 Ex-Financials ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0 Buy
Relative Strength Index (14 RSI): 39.94 Sell
Chaikin Money Flow: -3155 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (63.64 - 65.14) Sell
Bollinger Bands (100): (60.03 - 64.07) Buy

ProShares S&P 500 Ex-Financials 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 ProShares S&P 500 Ex-Financials ETF Stock

Is ProShares S&P 500 Ex-Financials ETF Stock a Buy?

SPXN Technical Analysis vs Fundamental Analysis

Buy
62
ProShares S&P 500 Ex-Financials ETF (SPXN) is a Buy

Is ProShares S&P 500 Ex-Financials ETF a Buy or a Sell?

ProShares S&P 500 Ex-Financials ETF Stock Info

Market Cap:
0
Price in USD:
62.95
Share Volume:
3.4K

ProShares S&P 500 Ex-Financials ETF 52-Week Range

52-Week High:
65.44
52-Week Low:
50.16
Buy
62
ProShares S&P 500 Ex-Financials ETF (SPXN) is a Buy

ProShares S&P 500 Ex-Financials ETF Share Price Forecast

Is ProShares S&P 500 Ex-Financials ETF Stock a Buy?

Technical Analysis of ProShares S&P 500 Ex-Financials ETF

Should I short ProShares S&P 500 Ex-Financials ETF stock?

* ProShares S&P 500 Ex-Financials 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.