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Postal Realty 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 PSTL is experiencing slight selling pressure.

Postal Realty Trust Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 14.77 Sell
20-day SMA: 14.89 Sell
50-day SMA: 14.23 Buy
200-day SMA: 13.82 Buy
8-day EMA: 13.19 Buy
20-day EMA: 8.76 Buy
50-day EMA: 4.46 Buy
200-day EMA: 1.27 Buy

Postal Realty Trust Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 4.09 Buy
Relative Strength Index (14 RSI): 45.57 Sell
Chaikin Money Flow: -32651 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (14.72 - 15.1) Sell
Bollinger Bands (100): (13.11 - 14.69) Buy

Postal Realty 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 Postal Realty Trust Stock

Is Postal Realty Trust Stock a Buy?

PSTL Technical Analysis vs Fundamental Analysis

Buy
68
Postal Realty Trust (PSTL) is a Buy

Is Postal Realty Trust a Buy or a Sell?

Postal Realty Trust Stock Info

Market Cap:
346.1M
Price in USD:
14.52
Share Volume:
99.4K

Postal Realty Trust 52-Week Range

52-Week High:
15.42
52-Week Low:
12.26
Buy
68
Postal Realty Trust (PSTL) is a Buy

Postal Realty Trust Share Price Forecast

Is Postal Realty Trust Stock a Buy?

Fundamental Analysis of Postal Realty Trust

Is Postal Realty Trust a good investment?

  • Analysts estimate an earnings increase this quarter of $0.03 per share, an increase next quarter of $0.03 per share, an increase this year of $0.10 per share, and an increase next year of $0.04 per share.

Technical Analysis of Postal Realty Trust

Should I short Postal Realty Trust stock?

* Postal Realty 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.