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Range Global Offshore Oil 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 OFOS is experiencing slight buying pressure.

Range Global Offshore Oil Services ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 24.7 Buy
20-day SMA: 24.31 Buy
50-day SMA: 24.66 Buy
200-day SMA: 26.95 Sell
8-day EMA: 24.77 Buy
20-day EMA: 24.54 Buy
50-day EMA: 24.84 Buy
200-day EMA: 26.67 Sell

Range Global Offshore Oil Services ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.12 Buy
Relative Strength Index (14 RSI): 58.43 Buy
Chaikin Money Flow: 168 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (23.51 - 24.83) Buy
Bollinger Bands (100): (24.03 - 28.33) Sell

Range Global Offshore Oil 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 Range Global Offshore Oil Services ETF Stock

Is Range Global Offshore Oil Services ETF Stock a Buy?

OFOS Technical Analysis vs Fundamental Analysis

Buy
62
Range Global Offshore Oil Services ETF (OFOS) is a Buy

Is Range Global Offshore Oil Services ETF a Buy or a Sell?

Range Global Offshore Oil Services ETF Stock Info

Market Cap:
0
Price in USD:
25.21
Share Volume:
3.06K

Range Global Offshore Oil Services ETF 52-Week Range

52-Week High:
30.80
52-Week Low:
23.11
Buy
62
Range Global Offshore Oil Services ETF (OFOS) is a Buy

Range Global Offshore Oil Services ETF Share Price Forecast

Is Range Global Offshore Oil Services ETF Stock a Buy?

Technical Analysis of Range Global Offshore Oil Services ETF

Should I short Range Global Offshore Oil Services ETF stock?

* Range Global Offshore Oil 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.