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Eaton Vance Municipal Income Trust 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 EVN is experiencing buying pressure, which is a positive indicator for future bullish movement.

Eaton Vance Municipal Income Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 9.85 Buy
20-day SMA: 9.93 Sell
50-day SMA: 10.09 Sell
200-day SMA: 9.71 Buy
8-day EMA: 9.86 Buy
20-day EMA: 9.92 Sell
50-day EMA: 10 Sell
200-day EMA: 9.91 Sell

Eaton Vance Municipal Income Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.08 Sell
Relative Strength Index (14 RSI): 42.81 Sell
Chaikin Money Flow: 51302 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (9.83 - 10.09) Sell
Bollinger Bands (100): (9.84 - 10.22) Sell

Eaton Vance Municipal Income Trust 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 Eaton Vance Municipal Income Trust Stock

Is Eaton Vance Municipal Income Trust Stock a Buy?

EVN Technical Analysis vs Fundamental Analysis

Sell
46
Eaton Vance Municipal Income Trust (EVN) is a Sell

Is Eaton Vance Municipal Income Trust a Buy or a Sell?

Eaton Vance Municipal Income Trust Stock Info

Market Cap:
0
Price in USD:
9.87
Share Volume:
76.95K

Eaton Vance Municipal Income Trust 52-Week Range

52-Week High:
10.45
52-Week Low:
8.64
Sell
46
Eaton Vance Municipal Income Trust (EVN) is a Sell

Eaton Vance Municipal Income Trust Share Price Forecast

Is Eaton Vance Municipal Income Trust Stock a Buy?

Technical Analysis of Eaton Vance Municipal Income Trust

Should I short Eaton Vance Municipal Income Trust stock?

* Eaton Vance Municipal Income Trust stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.