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Mfs Investment Grade Municipal Trust 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 CXH is experiencing selling pressure, which indicates risk of future bearish movement.

Mfs Investment Grade Municipal Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 8.09 Sell
20-day SMA: 8.09 Sell
50-day SMA: 8.16 Sell
200-day SMA: 7.81 Buy
8-day EMA: 8.08 Buy
20-day EMA: 8.1 Sell
50-day EMA: 8.11 Sell
200-day EMA: 7.87 Buy

Mfs Investment Grade Municipal Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.02 Sell
Relative Strength Index (14 RSI): 46.95 Sell
Chaikin Money Flow: -17600 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (8.05 - 8.17) Sell
Bollinger Bands (100): (7.98 - 8.2) Sell

Mfs Investment Grade Municipal 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 Mfs Investment Grade Municipal Trust Stock

Is Mfs Investment Grade Municipal Trust Stock a Buy?

CXH Technical Analysis vs Fundamental Analysis

Sell
40
Mfs Investment Grade Municipal Trust (CXH) is a Sell

Is Mfs Investment Grade Municipal Trust a Buy or a Sell?

Mfs Investment Grade Municipal Trust Stock Info

Market Cap:
0
Price in USD:
8.08
Share Volume:
29.33K

Mfs Investment Grade Municipal Trust 52-Week Range

52-Week High:
8.31
52-Week Low:
7.00
Sell
40
Mfs Investment Grade Municipal Trust (CXH) is a Sell

Mfs Investment Grade Municipal Trust Share Price Forecast

Is Mfs Investment Grade Municipal Trust Stock a Buy?

Technical Analysis of Mfs Investment Grade Municipal Trust

Should I short Mfs Investment Grade Municipal Trust stock?

* Mfs Investment Grade Municipal 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.