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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: 45.42 Buy
20-day SMA: 43.76 Buy
50-day SMA: 42.59 Buy
200-day SMA: 60.85 Sell
8-day EMA: 45.75 Buy
20-day EMA: 44.15 Buy
50-day EMA: 44.55 Buy
200-day EMA: 113.83 Sell

ProShares Ultra Bloomberg Natural Gas Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.97 Buy
Relative Strength Index (14 RSI): 61.39 Buy
Chaikin Money Flow: 2146292 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (40.22 - 47.86) Buy
Bollinger Bands (100): (40.54 - 51.42) 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
54
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:
50.36
Share Volume:
3.8M

ProShares Ultra Bloomberg Natural Gas 52-Week Range

52-Week High:
203.50
52-Week Low:
35.68
Buy
54
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.