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iShares Transportation Average ETF 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 IYT is experiencing buying pressure, which is a positive indicator for future bullish movement.

iShares Transportation Average ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 72.73 Buy
20-day SMA: 71.99 Buy
50-day SMA: 70.15 Buy
200-day SMA: 67.39 Buy
8-day EMA: 72.7 Buy
20-day EMA: 72.04 Buy
50-day EMA: 70.38 Buy
200-day EMA: 67.06 Buy

iShares Transportation Average ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.84 Buy
Relative Strength Index (14 RSI): 61.58 Buy
Chaikin Money Flow: 307141 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (69.98 - 73.18) Buy
Bollinger Bands (100): (64.81 - 70.75) Buy

iShares Transportation Average 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 Transportation Average ETF Stock

Is iShares Transportation Average ETF Stock a Buy?

IYT Technical Analysis vs Fundamental Analysis

Buy
53
iShares Transportation Average ETF (IYT) is a Buy

Is iShares Transportation Average ETF a Buy or a Sell?

iShares Transportation Average ETF Stock Info

Market Cap:
0
Price in USD:
73.58
Share Volume:
378.18K

iShares Transportation Average ETF 52-Week Range

52-Week High:
74.67
52-Week Low:
59.93
Buy
53
iShares Transportation Average ETF (IYT) is a Buy

iShares Transportation Average ETF Share Price Forecast

Is iShares Transportation Average ETF Stock a Buy?

Technical Analysis of iShares Transportation Average ETF

Should I short iShares Transportation Average ETF stock?

* iShares Transportation Average 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.