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iShares Copper and Metals Mining ETF Stock Price Chart

  • Based on the share price being below its 5, 20 & 50 day exponential moving averages, the current trend is considered strongly bearish and ICOP is experiencing selling pressure, which indicates risk of future bearish movement.

iShares Copper and Metals Mining ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 28.42 Sell
20-day SMA: 28.95 Sell
50-day SMA: 30.17 Sell
200-day SMA: 29.4 Sell
8-day EMA: 28.46 Sell
20-day EMA: 28.93 Sell
50-day EMA: 29.46 Sell
200-day EMA: 28.81 Sell

iShares Copper and Metals Mining ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.51 Sell
Relative Strength Index (14 RSI): 38.64 Sell
Chaikin Money Flow: -10607 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (28.25 - 30.25) Sell
Bollinger Bands (100): (27.84 - 31.02) Sell

iShares Copper and Metals Mining ETF 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 iShares Copper and Metals Mining ETF Stock

Is iShares Copper and Metals Mining ETF Stock a Buy?

ICOP Technical Analysis vs Fundamental Analysis

Buy
53
iShares Copper and Metals Mining ETF (ICOP) is a Buy

Is iShares Copper and Metals Mining ETF a Buy or a Sell?

iShares Copper and Metals Mining ETF Stock Info

Market Cap:
0
Price in USD:
27.98
Share Volume:
14.27K

iShares Copper and Metals Mining ETF 52-Week Range

52-Week High:
35.41
52-Week Low:
22.90
Buy
53
iShares Copper and Metals Mining ETF (ICOP) is a Buy

iShares Copper and Metals Mining ETF Share Price Forecast

Is iShares Copper and Metals Mining ETF Stock a Buy?

Technical Analysis of iShares Copper and Metals Mining ETF

Should I short iShares Copper and Metals Mining ETF stock?

* iShares Copper and Metals Mining ETF stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.