Willis Towers Watson (WTW) Seasonality

Recurring seasonal patterns for WTW — the calendar windows where Willis Towers Watson has historically tended to rise or fall, with the win rate (how often it repeated) and average return for each, based on up to 10 years of price history.

Patterns found
505
Bullish windows
11
Bearish windows
1
Best win rate
90%

WTW's strongest seasonal patterns

Seasonal windowDirectionAvg returnWin rateHold
Nov 3 – Nov 24Bullish+4.00%90%21d
Nov 2 – Nov 23Bullish+3.69%90%21d
Jan 15 – Feb 5Bullish+3.30%90%21d
Jan 17 – Feb 7Bullish+3.24%90%21d
Aug 24 – Sep 23Bullish+2.89%90%30d
Jan 14 – Feb 4Bullish+2.82%90%21d
Jan 3 – Feb 2Bullish+2.81%90%30d
Jan 13 – Feb 3Bullish+2.67%90%21d
Aug 20 – Sep 19Bullish+2.01%90%30d
Jul 13 – Jul 23Bullish+1.44%90%10d
Nov 30 – Dec 10Bearish-1.42%90%10d
Nov 1 – Dec 1Bullish+5.23%80%30d

Win rate = how often the pattern repeated in the same direction. Average return = the mean move across all analysed years. Past performance does not guarantee future results.

Explore WTW seasonality in full

See the seasonal curve chart, filter by win rate and return, and track upcoming windows — free during beta.

What is WTW stock seasonality?

Stock seasonality is the tendency of a stock to perform in a similar way during the same period each year. By analysing Willis Towers Watson's price history across many years, SeasonalityX identifies recurring calendar windows — exact start and end dates — where WTW has repeatedly risen (bullish) or fallen (bearish). Each pattern is scored by its win rate and average return so you can judge how reliable and how strong it has been.

Seasonality is one input among many — it works best alongside your own research and risk management. Learn more in our guide to seasonal analysis and the tutorials.

Seasonality for other tickers