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PAR Technology Corp. 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 PAR is experiencing slight selling pressure.

PAR Technology Corp. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 21.5 Buy
20-day SMA: 24.17 Sell
50-day SMA: 31.64 Sell
200-day SMA: 46.7 Sell
8-day EMA: 11.51 Buy
20-day EMA: 5.64 Buy
50-day EMA: 2.46 Buy
200-day EMA: 0.64 Buy

PAR Technology Corp. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 4.09 Buy
Relative Strength Index (14 RSI): 32.25 Sell
Chaikin Money Flow: -15119 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (20.9 - 31.92) Sell
Bollinger Bands (100): (28.5 - 39.16) Sell

PAR Technology Corp. 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 PAR Technology Corp. Stock

Is PAR Technology Corp. Stock a Buy?

PAR Technical Analysis vs Fundamental Analysis

Sell
15
PAR Technology Corp. (PAR) is a Sell

Is PAR Technology Corp. a Buy or a Sell?

PAR Technology Corp. Stock Info

Market Cap:
887.7M
Price in USD:
21.87
Share Volume:
750.9K

PAR Technology Corp. 52-Week Range

52-Week High:
72.15
52-Week Low:
20.00
Sell
15
PAR Technology Corp. (PAR) is a Sell

PAR Technology Corp. Share Price Forecast

Is PAR Technology Corp. Stock a Buy?

Fundamental Analysis of PAR Technology Corp.

Is PAR Technology Corp. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.18 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.51 per share, and an increase next year of $0.95 per share.

Technical Analysis of PAR Technology Corp.

Should I short PAR Technology Corp. stock?

* PAR Technology Corp. stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.