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Camden Property 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 CPT is experiencing slight selling pressure.

Camden Property Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 121.36 Buy
20-day SMA: 121.03 Buy
50-day SMA: 118.25 Buy
200-day SMA: 117.77 Buy
8-day EMA: 105.5 Buy
20-day EMA: 66.97 Buy
50-day EMA: 33.26 Buy
200-day EMA: 9.33 Buy

Camden Property Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 33.84 Buy
Relative Strength Index (14 RSI): 57.07 Buy
Chaikin Money Flow: -594446 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (119.23 - 123.25) Buy
Bollinger Bands (100): (114.18 - 122.64) Buy

Camden Property 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 Camden Property Trust Stock

Is Camden Property Trust Stock a Buy?

CPT Technical Analysis vs Fundamental Analysis

Buy
52
Camden Property Trust (CPT) is a Buy

Is Camden Property Trust a Buy or a Sell?

Camden Property Trust Stock Info

Market Cap:
13.1B
Price in USD:
122.30
Share Volume:
1.4M

Camden Property Trust 52-Week Range

52-Week High:
127.69
52-Week Low:
94.75
Buy
52
Camden Property Trust (CPT) is a Buy

Camden Property Trust Share Price Forecast

Is Camden Property Trust Stock a Buy?

Fundamental Analysis of Camden Property Trust

Is Camden Property Trust a good investment?

  • Analysts estimate an earnings decrease this quarter of $0.10 per share, an increase next quarter of $0.07 per share, a decrease this year of $0.65 per share, and an increase next year of $0.42 per share.

Technical Analysis of Camden Property Trust

Should I short Camden Property Trust stock?

* Camden Property 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.