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Grand Canyon Education Stock Price Chart

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

Grand Canyon Education Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 163.4 Buy
20-day SMA: 165.9 Sell
50-day SMA: 156.36 Buy
200-day SMA: 144.21 Buy
8-day EMA: 163.68 Buy
20-day EMA: 164.02 Buy
50-day EMA: 158.67 Buy
200-day EMA: 145.29 Buy

Grand Canyon Education Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.01 Buy
Relative Strength Index (14 RSI): 52.94 Buy
Chaikin Money Flow: 55958 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (162.71 - 168.69) Sell
Bollinger Bands (100): (135.75 - 161.69) 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
63
Grand Canyon Education (LOPE) is a Buy

Is Grand Canyon Education a Buy or a Sell?

Grand Canyon Education Stock Info

Market Cap:
4.8B
Price in USD:
164.64
Share Volume:
67.9K

Grand Canyon Education 52-Week Range

52-Week High:
173.37
52-Week Low:
118.48
Buy
63
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 $0.15 per share, a decrease next quarter of $0.00 per share, an increase this year of $1.05 per share, and an increase next year of $0.74 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.