Stocks · NASDAQ · Financial Services · United States
WTW — Willis Towers Watson Public Limited Companys
Willis Towers Watson Public Limited Companys (WTW) is a financial services stock listed on NASDAQ (United States). At the close of September 29, 2026 it traded at 288.57 (-1.21% on the day), -14.8% over one month, +4.9% over three months, -14.6% over twelve months. The InvestMuse composite score is +77 on a −100 to +100 scale, a strong bullish read that ranks #26 of about 1,221 assets. The strongest of its nine dimensions are Regime (hidden Markov model) (+95) and Fundamentals (+61); the weakest is Trend (-35). Its volatility regime from the hidden Markov model is Cool. 15 news articles in the last 30 days carried an average tone of +0.33 (on −1 to +1).
The facts
| Last close | 288.57 (September 29, 2026) |
|---|---|
| 1 day / 1 month / 3 months / 12 months | -1.21% / -14.8% / +4.9% / -14.6% |
| 52-week range | 241.24 – 350.75 |
| Composite score | +77 / 100 · strong bullish view · rank #26 |
| Volatility regime (HMM) | Cool |
| Support levels | 105.00 |
| Resistance levels | 140.00, 195.00, 235.00 |
| Trailing P/E | 15.7 |
| Market cap | $24.6B |
The nine dimensions
Each dimension is scored from −100 to +100; the composite is their weighted blend. Composite of 9 dimensions; not a recommendation.
- Regime (hidden Markov model)+95
- Technical indicators+32
- Trend-35
- Support / resistance0
- Fundamentals+61
- Sector edge+27
- News sentiment+33
- Momentum-2
- Chart patterns and zones+18
How this read is made
Every night InvestMuse scores about 1,221 stocks, crypto assets, currencies, commodities and indices on nine dimensions: a hidden Markov model regime, technical indicators, trend, support and resistance from price clustering, fundamentals, the gap to sector peers, news sentiment, momentum, and chart patterns with demand/supply zones and Fibonacci levels. Members race each other with $100,000 of play money, against five fictional fund managers and the InvestMuse algorithm.
Data as of September 29, 2026. Observations from public market data — not investment advice, not a recommendation to buy or sell.