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iShares ESG Aware US Aggregate Bond ETF Stock Price Chart

  • The current trend is relatively stagnant and EAGG is experiencing buying pressure, which is a positive indicator for future bullish movement.

iShares ESG Aware US Aggregate Bond ETF Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 47.94 Sell
20-day SMA: 47.92 Sell
50-day SMA: 47.97 Sell
200-day SMA: 47.56 Buy
8-day EMA: 47.92 Buy
20-day EMA: 47.93 Sell
50-day EMA: 47.96 Sell
200-day EMA: 47.69 Buy

iShares ESG Aware US Aggregate Bond ETF Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.02 Sell
Relative Strength Index (14 RSI): 49.05 Sell
Chaikin Money Flow: 212154 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (47.84 - 48) Sell
Bollinger Bands (100): (47.83 - 48.23) Sell

iShares ESG Aware US Aggregate Bond 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 ESG Aware US Aggregate Bond ETF Stock

Is iShares ESG Aware US Aggregate Bond ETF Stock a Buy?

EAGG Technical Analysis vs Fundamental Analysis

Sell
48
iShares ESG Aware US Aggregate Bond ETF (EAGG) is a Sell

Is iShares ESG Aware US Aggregate Bond ETF a Buy or a Sell?

iShares ESG Aware US Aggregate Bond ETF Stock Info

Market Cap:
0
Price in USD:
47.92
Share Volume:
298.5K

iShares ESG Aware US Aggregate Bond ETF 52-Week Range

52-Week High:
48.54
52-Week Low:
46.14
Sell
48
iShares ESG Aware US Aggregate Bond ETF (EAGG) is a Sell

iShares ESG Aware US Aggregate Bond ETF Share Price Forecast

Is iShares ESG Aware US Aggregate Bond ETF Stock a Buy?

Technical Analysis of iShares ESG Aware US Aggregate Bond ETF

Should I short iShares ESG Aware US Aggregate Bond ETF stock?

* iShares ESG Aware US Aggregate Bond 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.