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Primaris Real Estate Investment 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 PMREF is experiencing slight buying pressure.

Primaris Real Estate Investment Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 10.64 Sell
20-day SMA: 10.63 Buy
50-day SMA: 10.78 Sell
200-day SMA: 10.83 Sell
8-day EMA: 10.62 Buy
20-day EMA: 10.65 Sell
50-day EMA: 10.75 Sell
200-day EMA: 10.83 Sell

Primaris Real Estate Investment Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.05 Sell
Relative Strength Index (14 RSI): 45.99 Sell
Chaikin Money Flow: 0 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (10.52 - 10.82) Sell
Bollinger Bands (100): (10.66 - 11.1) Sell

Primaris Real Estate Investment 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 Primaris Real Estate Investment Trust Stock

Is Primaris Real Estate Investment Trust Stock a Buy?

PMREF Technical Analysis vs Fundamental Analysis

Buy
56
Primaris Real Estate Investment Trust (PMREF) is a Buy

Is Primaris Real Estate Investment Trust a Buy or a Sell?

Primaris Real Estate Investment Trust Stock Info

Market Cap:
1.3B
Price in USD:
10.64
Share Volume:
0

Primaris Real Estate Investment Trust 52-Week Range

52-Week High:
11.50
52-Week Low:
9.70
Buy
56
Primaris Real Estate Investment Trust (PMREF) is a Buy

Primaris Real Estate Investment Trust Share Price Forecast

Is Primaris Real Estate Investment Trust Stock a Buy?

Technical Analysis of Primaris Real Estate Investment Trust

Should I short Primaris Real Estate Investment Trust stock?

* Primaris Real Estate Investment 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.