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ProShares Ultra Bloomberg Natural Gas 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 BOIL is experiencing buying pressure, which is a positive indicator for future bullish movement.

ProShares Ultra Bloomberg Natural Gas Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 31.02 Buy
20-day SMA: 23.54 Buy
50-day SMA: 28.13 Buy
200-day SMA: 37.7 Buy
8-day EMA: 31.23 Buy
20-day EMA: 27.1 Buy
50-day EMA: 27.28 Buy
200-day EMA: 40.72 Sell

ProShares Ultra Bloomberg Natural Gas Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 2.31 Buy
Relative Strength Index (14 RSI): 73.14 Buy
Chaikin Money Flow: 15028114 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (17.65 - 30.07) Buy
Bollinger Bands (100): (23.38 - 34.46) Buy

ProShares Ultra Bloomberg Natural Gas 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 Ultra Bloomberg Natural Gas Stock

Is ProShares Ultra Bloomberg Natural Gas Stock a Buy?

BOIL Technical Analysis vs Fundamental Analysis

Buy
62
ProShares Ultra Bloomberg Natural Gas (BOIL) is a Buy

Is ProShares Ultra Bloomberg Natural Gas a Buy or a Sell?

ProShares Ultra Bloomberg Natural Gas Stock Info

Market Cap:
0
Price in USD:
40.67
Share Volume:
18.7M

ProShares Ultra Bloomberg Natural Gas 52-Week Range

52-Week High:
109.77
52-Week Low:
15.20
Buy
62
ProShares Ultra Bloomberg Natural Gas (BOIL) is a Buy

ProShares Ultra Bloomberg Natural Gas Share Price Forecast

Is ProShares Ultra Bloomberg Natural Gas Stock a Buy?

Technical Analysis of ProShares Ultra Bloomberg Natural Gas

Should I short ProShares Ultra Bloomberg Natural Gas stock?

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