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Travel + Leisure Co. 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 TNL is experiencing slight buying pressure.

Travel + Leisure Co. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 68.08 Buy
20-day SMA: 65.06 Buy
50-day SMA: 63.12 Buy
200-day SMA: 55.49 Buy
8-day EMA: 67.61 Buy
20-day EMA: 65.82 Buy
50-day EMA: 63.77 Buy
200-day EMA: 57.6 Buy

Travel + Leisure Co. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 1.6 Buy
Relative Strength Index (14 RSI): 62.96 Buy
Chaikin Money Flow: 44684 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (62.06 - 67.2) Buy
Bollinger Bands (100): (59.17 - 64.71) Buy

Travel + Leisure Co. 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 Travel + Leisure Co. Stock

Is Travel + Leisure Co. Stock a Buy?

TNL Technical Analysis vs Fundamental Analysis

Buy
84
Travel + Leisure Co. (TNL) is a Buy

Is Travel + Leisure Co. a Buy or a Sell?

Travel + Leisure Co. Stock Info

Market Cap:
4.4B
Price in USD:
68.30
Share Volume:
525.6K

Travel + Leisure Co. 52-Week Range

52-Week High:
70.43
52-Week Low:
37.77
Buy
84
Travel + Leisure Co. (TNL) is a Buy

Travel + Leisure Co. Share Price Forecast

Is Travel + Leisure Co. Stock a Buy?

Fundamental Analysis of Travel + Leisure Co.

Is Travel + Leisure Co. a good investment?

  • Analysts estimate an earnings increase this quarter of $0.39 per share, a decrease next quarter of $0.00 per share, an increase this year of $0.64 per share, and an increase next year of $0.96 per share.

Technical Analysis of Travel + Leisure Co.

Should I short Travel + Leisure Co. stock?

* Travel + Leisure Co. stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.