Financhill
Back

United States Natural Gas Fund LP 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 UNG is experiencing buying pressure, which is a positive indicator for future bullish movement.

United States Natural Gas Fund LP Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 14.82 Buy
20-day SMA: 14.57 Buy
50-day SMA: 13.54 Buy
200-day SMA: 15.8 Sell
8-day EMA: 15.02 Buy
20-day EMA: 14.52 Buy
50-day EMA: 13.92 Buy
200-day EMA: 14.87 Buy

United States Natural Gas Fund LP Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.49 Buy
Relative Strength Index (14 RSI): 65.52 Buy
Chaikin Money Flow: 9727662 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (13.72 - 14.98) Buy
Bollinger Bands (100): (12.34 - 14.32) Buy

United States Natural Gas Fund LP 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 United States Natural Gas Fund LP Stock

Is United States Natural Gas Fund LP Stock a Buy?

UNG Technical Analysis vs Fundamental Analysis

Buy
55
United States Natural Gas Fund LP (UNG) is a Buy

Is United States Natural Gas Fund LP a Buy or a Sell?

United States Natural Gas Fund LP Stock Info

Market Cap:
0
Price in USD:
15.66
Share Volume:
12.8M

United States Natural Gas Fund LP 52-Week Range

52-Week High:
24.33
52-Week Low:
11.55
Buy
55
United States Natural Gas Fund LP (UNG) is a Buy

United States Natural Gas Fund LP Share Price Forecast

Is United States Natural Gas Fund LP Stock a Buy?

Technical Analysis of United States Natural Gas Fund LP

Should I short United States Natural Gas Fund LP stock?

* United States Natural Gas Fund LP stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.