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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 selling pressure.

Travel + Leisure Co. Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 71.54 Buy
20-day SMA: 69.57 Buy
50-day SMA: 65.57 Buy
200-day SMA: 56.41 Buy
8-day EMA: 45.74 Buy
20-day EMA: 23.77 Buy
50-day EMA: 10.65 Buy
200-day EMA: 2.82 Buy

Travel + Leisure Co. Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 16.05 Buy
Relative Strength Index (14 RSI): 71.4 Buy
Chaikin Money Flow: -9391 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (64.71 - 71.49) Buy
Bollinger Bands (100): (59.49 - 66.95) 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
78
Travel + Leisure Co. (TNL) is a Buy

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

Travel + Leisure Co. Stock Info

Market Cap:
4.7B
Price in USD:
72.86
Share Volume:
525.9K

Travel + Leisure Co. 52-Week Range

52-Week High:
73.43
52-Week Low:
37.77
Buy
78
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.