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United States Commodity Index Fund 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 USCI is experiencing buying pressure, which is a positive indicator for future bullish movement.

United States Commodity Index Fund Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 78.23 Buy
20-day SMA: 78.37 Buy
50-day SMA: 77.99 Buy
200-day SMA: 73.97 Buy
8-day EMA: 78.49 Buy
20-day EMA: 78.29 Buy
50-day EMA: 75.82 Buy
200-day EMA: 45.88 Buy

United States Commodity Index Fund Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.24 Buy
Relative Strength Index (14 RSI): 55.65 Buy
Chaikin Money Flow: 6311 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (77.59 - 79.09) Buy
Bollinger Bands (100): (75.14 - 78.46) Buy

United States Commodity Index Fund 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 Commodity Index Fund Stock

Is United States Commodity Index Fund Stock a Buy?

USCI Technical Analysis vs Fundamental Analysis

Buy
64
United States Commodity Index Fund (USCI) is a Buy

Is United States Commodity Index Fund a Buy or a Sell?

United States Commodity Index Fund Stock Info

Market Cap:
0
Price in USD:
79.10
Share Volume:
10.5K

United States Commodity Index Fund 52-Week Range

52-Week High:
80.00
52-Week Low:
64.26
Buy
64
United States Commodity Index Fund (USCI) is a Buy

United States Commodity Index Fund Share Price Forecast

Is United States Commodity Index Fund Stock a Buy?

Technical Analysis of United States Commodity Index Fund

Should I short United States Commodity Index Fund stock?

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