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SP Funds S&P 500 Sharia Industry Ex 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 SPUS is experiencing selling pressure, which indicates risk of future bearish movement.

SP Funds S&P 500 Sharia Industry Ex ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 40.13 Buy
20-day SMA: 40.19 Buy
50-day SMA: 40.05 Buy
200-day SMA: 37.66 Buy
8-day EMA: 40.24 Buy
20-day EMA: 40.09 Buy
50-day EMA: 39.93 Buy
200-day EMA: 37.68 Buy

SP Funds S&P 500 Sharia Industry Ex ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.1 Buy
Relative Strength Index (14 RSI): 54.13 Buy
Chaikin Money Flow: -226450 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (39.6 - 40.88) Buy
Bollinger Bands (100): (38.15 - 40.97) Buy

SP Funds S&P 500 Sharia Industry Ex 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 SP Funds S&P 500 Sharia Industry Ex ETF Stock

Is SP Funds S&P 500 Sharia Industry Ex ETF Stock a Buy?

SPUS Technical Analysis vs Fundamental Analysis

Sell
49
SP Funds S&P 500 Sharia Industry Ex ETF (SPUS) is a Sell

Is SP Funds S&P 500 Sharia Industry Ex ETF a Buy or a Sell?

SP Funds S&P 500 Sharia Industry Ex ETF Stock Info

Market Cap:
0
Price in USD:
40.41
Share Volume:
278.71K

SP Funds S&P 500 Sharia Industry Ex ETF 52-Week Range

52-Week High:
42.22
52-Week Low:
29.44
Sell
49
SP Funds S&P 500 Sharia Industry Ex ETF (SPUS) is a Sell

SP Funds S&P 500 Sharia Industry Ex ETF Share Price Forecast

Is SP Funds S&P 500 Sharia Industry Ex ETF Stock a Buy?

Technical Analysis of SP Funds S&P 500 Sharia Industry Ex ETF

Should I short SP Funds S&P 500 Sharia Industry Ex ETF stock?

* SP Funds S&P 500 Sharia Industry Ex 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.