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Grand Canyon Education 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 LOPE is experiencing slight selling pressure.

Grand Canyon Education Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 195.65 Buy
20-day SMA: 186.38 Buy
50-day SMA: 177.58 Buy
200-day SMA: 161.75 Buy
8-day EMA: 194.7 Buy
20-day EMA: 188.49 Buy
50-day EMA: 181.32 Buy
200-day EMA: 164.96 Buy

Grand Canyon Education Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 6.04 Buy
Relative Strength Index (14 RSI): 71.03 Buy
Chaikin Money Flow: 146381 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): ( - ) Buy
Bollinger Bands (100): ( - ) Buy

Grand Canyon Education 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 Grand Canyon Education Stock

Is Grand Canyon Education Stock a Buy?

LOPE Technical Analysis vs Fundamental Analysis

Buy
77
Grand Canyon Education (LOPE) is a Buy

Is Grand Canyon Education a Buy or a Sell?

Grand Canyon Education Stock Info

Market Cap:
5.6B
Price in USD:
197.98
Share Volume:
160K

Grand Canyon Education 52-Week Range

52-Week High:
202.28
52-Week Low:
130.69
Buy
77
Grand Canyon Education (LOPE) is a Buy

Grand Canyon Education Share Price Forecast

Is Grand Canyon Education Stock a Buy?

Fundamental Analysis of Grand Canyon Education

Is Grand Canyon Education a good investment?

  • Analysts estimate an earnings increase this quarter of $0.21 per share, a decrease next quarter of $0.11 per share, an increase this year of $0.76 per share, and an increase next year of $0.91 per share.

Technical Analysis of Grand Canyon Education

Should I short Grand Canyon Education stock?

* Grand Canyon Education stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.