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ProShares UltraShort Bloomberg Crude Oil 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 SCO is experiencing slight buying pressure.

ProShares UltraShort Bloomberg Crude Oil Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 15.7 Buy
20-day SMA: 15.37 Buy
50-day SMA: 16.46 Sell
200-day SMA: 18.38 Sell
8-day EMA: 15.65 Buy
20-day EMA: 15.67 Buy
50-day EMA: 16.41 Sell
200-day EMA: 19.14 Sell

ProShares UltraShort Bloomberg Crude Oil Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.18 Sell
Relative Strength Index (14 RSI): 53.72 Buy
Chaikin Money Flow: 279065 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (15.05 - 15.95) Buy
Bollinger Bands (100): (16.11 - 20.13) Sell

ProShares UltraShort Bloomberg Crude Oil 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 UltraShort Bloomberg Crude Oil Stock

Is ProShares UltraShort Bloomberg Crude Oil Stock a Buy?

SCO Technical Analysis vs Fundamental Analysis

Sell
37
ProShares UltraShort Bloomberg Crude Oil (SCO) is a Sell

Is ProShares UltraShort Bloomberg Crude Oil a Buy or a Sell?

ProShares UltraShort Bloomberg Crude Oil Stock Info

Market Cap:
0
Price in USD:
16.01
Share Volume:
2.13M

ProShares UltraShort Bloomberg Crude Oil 52-Week Range

52-Week High:
30.02
52-Week Low:
14.44
Sell
37
ProShares UltraShort Bloomberg Crude Oil (SCO) is a Sell

ProShares UltraShort Bloomberg Crude Oil Share Price Forecast

Is ProShares UltraShort Bloomberg Crude Oil Stock a Buy?

Technical Analysis of ProShares UltraShort Bloomberg Crude Oil

Should I short ProShares UltraShort Bloomberg Crude Oil stock?

* ProShares UltraShort Bloomberg Crude Oil stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.