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Camden Property Trust Stock Price Chart

  • The current trend is relatively stagnant and CPT is experiencing buying pressure, which is a positive indicator for future bullish movement.

Camden Property Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 107.91 Sell
20-day SMA: 108.75 Sell
50-day SMA: 106.21 Buy
200-day SMA: 109.44 Sell
8-day EMA: 107.93 Sell
20-day EMA: 107.96 Sell
50-day EMA: 106.87 Buy
200-day EMA: 108.8 Sell

Camden Property Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 0.35 Buy
Relative Strength Index (14 RSI): 50.3 Buy
Chaikin Money Flow: 695694 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (107.15 - 109.81) Sell
Bollinger Bands (100): (102.39 - 108.91) 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

Sell
37
Camden Property Trust (CPT) is a Sell

Is Camden Property Trust a Buy or a Sell?

Camden Property Trust Stock Info

Market Cap:
11.5B
Price in USD:
107.86
Share Volume:
711.9K

Camden Property Trust 52-Week Range

52-Week High:
126.55
52-Week Low:
97.17
Sell
37
Camden Property Trust (CPT) is a Sell

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 increase this quarter of $0.02 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.11 per share, and an increase next year of $0.72 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.