Financhill
Back

Willis Towers Watson PLC Stock Price Chart

  • The current trend is moderately bearish and WTW is experiencing slight buying pressure.

Willis Towers Watson PLC Price Chart Indicators

Moving Averages Level Buy or Sell
8-day SMA: 291.73 Buy
20-day SMA: 290.11 Buy
50-day SMA: 280.35 Buy
200-day SMA: 263.56 Buy
8-day EMA: 291.89 Buy
20-day EMA: 289.3 Buy
50-day EMA: 281.66 Buy
200-day EMA: 263.24 Buy

Willis Towers Watson PLC Technical Analysis Indicators

Chart Indicators Level Buy or Sell
MACD (12, 26): 3.54 Buy
Relative Strength Index (14 RSI): 59.89 Buy
Chaikin Money Flow: 83912 -
Bollinger Bands Level Buy or Sell
Bollinger Bands (25): (283.3 - 293.22) Buy
Bollinger Bands (100): (253.88 - 282.64) Buy

Willis Towers Watson PLC 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 Willis Towers Watson PLC Stock

Is Willis Towers Watson PLC Stock a Buy?

WTW Technical Analysis vs Fundamental Analysis

Buy
63
Willis Towers Watson PLC (WTW) is a Buy

Is Willis Towers Watson PLC a Buy or a Sell?

Willis Towers Watson PLC Stock Info

Market Cap:
29.71B
Price in USD:
292.50
Share Volume:
376.63K

Willis Towers Watson PLC 52-Week Range

52-Week High:
296.45
52-Week Low:
203.36
Buy
63
Willis Towers Watson PLC (WTW) is a Buy

Willis Towers Watson PLC Share Price Forecast

Is Willis Towers Watson PLC Stock a Buy?

Fundamental Analysis of Willis Towers Watson PLC

Is Willis Towers Watson PLC a good investment?

  • Analysts estimate an earnings increase this quarter of $0.70 per share, an increase next quarter of $0.38 per share, an increase this year of $2.46 per share, and an increase next year of $2.15 per share.

Technical Analysis of Willis Towers Watson PLC

Should I short Willis Towers Watson PLC stock?

* Willis Towers Watson PLC stock forecasts short-term for next days and weeks may differ from long term prediction for next month and year based on timeline differences.