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Killam Apartment REIT 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 KMP.UN.TO is experiencing slight selling pressure.

Killam Apartment REIT Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 16.37 Sell
20-day SMA: 16.37 Sell
50-day SMA: 16.78 Sell
200-day SMA: 17.77 Sell
8-day EMA: 16.35 Sell
20-day EMA: 16.41 Sell
50-day EMA: 16.75 Sell
200-day EMA: 17.54 Sell

Killam Apartment REIT Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): -0.12 Sell
Relative Strength Index (14 RSI): 41.43 Sell
Chaikin Money Flow: -10830 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (16.25 - 16.59) Sell
Bollinger Bands (100): (16.66 - 17.98) Sell

Killam Apartment REIT 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 Killam Apartment REIT Stock

Is Killam Apartment REIT Stock a Buy?

KMP.UN.TO Technical Analysis vs Fundamental Analysis

Sell
26
Killam Apartment REIT (KMP.UN.TO) is a Sell

Is Killam Apartment REIT a Buy or a Sell?

Killam Apartment REIT Stock Info

Market Cap:
2B
Price in USD:
16.27
Share Volume:
140.8K

Killam Apartment REIT 52-Week Range

52-Week High:
19.80
52-Week Low:
15.48
Sell
26
Killam Apartment REIT (KMP.UN.TO) is a Sell

Killam Apartment REIT Share Price Forecast

Is Killam Apartment REIT Stock a Buy?

Fundamental Analysis of Killam Apartment REIT

Is Killam Apartment REIT a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.00 per share, a decrease next quarter of $0.00 per share, a decrease this year of $1.07 per share, and a decrease next year of $0.51 per share.

Technical Analysis of Killam Apartment REIT

Should I short Killam Apartment REIT stock?

* Killam Apartment REIT stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.