Taylor Wimpey (TW.L) Seasonality
Recurring seasonal patterns for TW.L — the calendar windows where Taylor Wimpey 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.
TW.L's strongest seasonal patterns
| Seasonal window | Direction | Avg return | Win rate | Hold |
|---|---|---|---|---|
| May 31 – Jun 30 | Bearish | -9.16% | 100% | 30d |
| Jun 4 – Jul 4 | Bearish | -8.79% | 100% | 30d |
| Jun 1 – Jul 1 | Bearish | -8.49% | 100% | 30d |
| Jun 2 – Jul 2 | Bearish | -8.24% | 100% | 30d |
| May 28 – Jun 27 | Bearish | -10.63% | 90% | 30d |
| May 26 – Jun 25 | Bearish | -10.07% | 90% | 30d |
| May 27 – Jun 26 | Bearish | -9.50% | 90% | 30d |
| May 30 – Jun 29 | Bearish | -9.41% | 90% | 30d |
| May 29 – Jun 28 | Bearish | -9.25% | 90% | 30d |
| Jun 6 – Jun 27 | Bearish | -8.41% | 90% | 21d |
| Jun 5 – Jun 26 | Bearish | -8.27% | 90% | 21d |
| Jun 4 – Jun 25 | Bearish | -8.23% | 90% | 21d |
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 TW.L seasonality in full
See the seasonal curve chart, filter by win rate and return, and track upcoming windows — free during beta.
What is TW.L stock seasonality?
Stock seasonality is the tendency of a stock to perform in a similar way during the same period each year. By analysing Taylor Wimpey's price history across many years, SeasonalityX identifies recurring calendar windows — exact start and end dates — where TW.L 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.