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Putnam Managed 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 PMM is experiencing selling pressure, which indicates risk of future bearish movement.

Putnam Managed Municipal Income Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 6.19 Sell
20-day SMA: 6.23 Sell
50-day SMA: 6.37 Sell
200-day SMA: 6.19 Sell
8-day EMA: 6.19 Sell
20-day EMA: 6.24 Sell
50-day EMA: 6.3 Sell
200-day EMA: 6.22 Sell

Putnam Managed Municipal Income Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.05 Sell
Relative Strength Index (14 RSI): 36.97 Sell
Chaikin Money Flow: -73539 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (6.18 - 6.32) Sell
Bollinger Bands (100): (6.22 - 6.46) Sell

Putnam Managed 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 Putnam Managed Municipal Income Trust Stock

Is Putnam Managed Municipal Income Trust Stock a Buy?

PMM Technical Analysis vs Fundamental Analysis

Sell
36
Putnam Managed Municipal Income Trust (PMM) is a Sell

Is Putnam Managed Municipal Income Trust a Buy or a Sell?

Putnam Managed Municipal Income Trust Stock Info

Market Cap:
0
Price in USD:
6.16
Share Volume:
110.4K

Putnam Managed Municipal Income Trust 52-Week Range

52-Week High:
6.61
52-Week Low:
5.68
Sell
36
Putnam Managed Municipal Income Trust (PMM) is a Sell

Putnam Managed Municipal Income Trust Share Price Forecast

Is Putnam Managed Municipal Income Trust Stock a Buy?

Technical Analysis of Putnam Managed Municipal Income Trust

Should I short Putnam Managed Municipal Income Trust stock?

* Putnam Managed 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.