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iShares Global Timber & Forestry 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 WOOD is experiencing selling pressure, which indicates risk of future bearish movement.

iShares Global Timber & Forestry ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 80.72 Sell
20-day SMA: 80.72 Sell
50-day SMA: 82.45 Sell
200-day SMA: 80.75 Sell
8-day EMA: 80.13 Sell
20-day EMA: 80.95 Sell
50-day EMA: 81.57 Sell
200-day EMA: 80.39 Sell

iShares Global Timber & Forestry ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.74 Sell
Relative Strength Index (14 RSI): 33.55 Sell
Chaikin Money Flow: -6418 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (79.9 - 82.44) Sell
Bollinger Bands (100): (78.49 - 83.39) Sell

iShares Global Timber & Forestry 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 Global Timber & Forestry ETF Stock

Is iShares Global Timber & Forestry ETF Stock a Buy?

WOOD Technical Analysis vs Fundamental Analysis

Buy
53
iShares Global Timber & Forestry ETF (WOOD) is a Buy

Is iShares Global Timber & Forestry ETF a Buy or a Sell?

iShares Global Timber & Forestry ETF Stock Info

Market Cap:
0
Price in USD:
78.28
Share Volume:
10.87K

iShares Global Timber & Forestry ETF 52-Week Range

52-Week High:
86.79
52-Week Low:
73.83
Buy
53
iShares Global Timber & Forestry ETF (WOOD) is a Buy

iShares Global Timber & Forestry ETF Share Price Forecast

Is iShares Global Timber & Forestry ETF Stock a Buy?

Technical Analysis of iShares Global Timber & Forestry ETF

Should I short iShares Global Timber & Forestry ETF stock?

* iShares Global Timber & Forestry 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.