Financhill
Back

Royal Caribbean Group Stock Price Chart

  • The current trend is moderately bullish and RCL is experiencing buying pressure, which is a positive indicator for future bullish movement.

Royal Caribbean Group Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 309.91 Sell
20-day SMA: 322.14 Sell
50-day SMA: 304.89 Sell
200-day SMA: 301.77 Sell
8-day EMA: 283.14 Buy
20-day EMA: 195.92 Buy
50-day EMA: 102.36 Buy
200-day EMA: 29.57 Buy

Royal Caribbean Group Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 84.47 Buy
Relative Strength Index (14 RSI): 44.35 Sell
Chaikin Money Flow: 2248105 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (304.88 - 337.48) Sell
Bollinger Bands (100): (265.6 - 317.28) Buy

Royal Caribbean Group 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 Royal Caribbean Group Stock

Is Royal Caribbean Group Stock a Buy?

RCL Technical Analysis vs Fundamental Analysis

Buy
51
Royal Caribbean Group (RCL) is a Buy

Is Royal Caribbean Group a Buy or a Sell?

Royal Caribbean Group Stock Info

Market Cap:
81.5B
Price in USD:
301.31
Share Volume:
3.6M

Royal Caribbean Group 52-Week Range

52-Week High:
366.50
52-Week Low:
164.01
Buy
51
Royal Caribbean Group (RCL) is a Buy

Royal Caribbean Group Share Price Forecast

Is Royal Caribbean Group Stock a Buy?

Fundamental Analysis of Royal Caribbean Group

Is Royal Caribbean Group a good investment?

  • Analysts estimate an earnings increase this quarter of $2.84 per share, a decrease next quarter of $3.15 per share, an increase this year of $2.46 per share, and an increase next year of $2.61 per share.

Technical Analysis of Royal Caribbean Group

Should I short Royal Caribbean Group stock?

* Royal Caribbean Group stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.