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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 slight selling pressure.

ProShares Ultra Bloomberg Natural Gas Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 43.74 Buy
20-day SMA: 41.12 Buy
50-day SMA: 46.08 Buy
200-day SMA: 64.63 Sell
8-day EMA: 44.74 Buy
20-day EMA: 42.98 Buy
50-day EMA: 45.33 Buy
200-day EMA: 129.34 Sell

ProShares Ultra Bloomberg Natural Gas Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.38 Buy
Relative Strength Index (14 RSI): 63.31 Buy
Chaikin Money Flow: -17888 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (37.63 - 45.35) Buy
Bollinger Bands (100): (41.4 - 55.54) 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
55
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:
51.38
Share Volume:
4.11M

ProShares Ultra Bloomberg Natural Gas 52-Week Range

52-Week High:
215.45
52-Week Low:
35.68
Buy
55
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.