Loblaw (L.TO) Seasonality
Recurring seasonal patterns for L.TO — the calendar windows where Loblaw has historically tended to rise or fall, with the win rate (how often it repeated) and average return for each, based on the last 10 years of price history.
L.TO seasonality at a glance
Over the last 10 years, L.TO's strongest seasonal window has been Mar 1 – Mar 31: it ended higher in 10 of 10 years (100% win rate) with an average return of +6.58% across a 30-day hold. On the weak side, L.TO has historically declined between Aug 20 – Sep 19, falling in 9 of 10 years (average -2.49%).
In total, our analysis finds 559 recurring seasonal windows for Loblaw — 484 bullish and 75 bearish. The next high-win-rate window, Oct 17 – Nov 16, opens in 36 days. These figures describe historical behaviour only — not a forecast.
L.TO's upcoming & recent seasonal patterns
Holding period:10-day20-day30-dayOrdered by season — windows opening soon first, plus a couple of recently completed high-performers. Holding-period colors help you compare durations at a glance.
| Status | Seasonal window | Hold | Avg return | Win rate | This year |
|---|---|---|---|---|---|
| Completedended 16d ago | Aug 16 – Aug 26 | 10d | -1.27% | 80% | -0.74% |
| Completedended 37d ago | Jul 6 – Aug 5 | 30d | +2.15% | 80% | +3.89% |
| Upcomingin 36d | Oct 17 – Nov 16 | 30d | +2.46% | 80% | — |
| Upcomingin 37d | Oct 18 – Oct 28 | 10d | -1.08% | 80% | — |
| Upcomingin 37d | Oct 18 – Nov 17 | 30d | +2.68% | 80% | — |
| Upcomingin 38d | Oct 19 – Oct 29 | 10d | -1.20% | 80% | — |
| Upcomingin 38d | Oct 19 – Nov 18 | 30d | +2.64% | 80% | — |
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 L.TO seasonality in full
See the seasonal curve chart, filter by win rate and return, and track upcoming windows — free during beta.
L.TO seasonality FAQ
What has historically been the best month to buy L.TO stock?
Based on the last 10 years of price data, L.TO's strongest seasonal window starts in March: Mar 1 to Mar 31, which ended higher in 10 of 10 years (100% win rate) with an average return of +6.58%. Past seasonal patterns do not guarantee future performance.
What is L.TO's strongest seasonal pattern?
L.TO's highest-win-rate pattern in our data is the Mar 1 – Mar 31 window (30-day hold): up in 10 of the last 10 years with an average move of +6.58%.
When has L.TO historically performed worst?
L.TO's weakest recurring window has been Aug 20 to Sep 19, declining in 9 of 10 years with an average return of -2.49%.
How reliable are L.TO's seasonal patterns?
Each L.TO pattern is scored by its historical win rate — the share of the last 10 years it repeated in the same direction. L.TO currently shows 559 recurring windows (484 bullish, 75 bearish). Seasonality describes historical tendencies only; it is not a prediction, and past performance does not guarantee future results.
What is L.TO stock seasonality?
Seasonality is the tendency of a stock to perform in a similar way during the same period each year. By analysing Loblaw's price history across many years, SeasonalityX identifies recurring calendar windows — exact start and end dates — where L.TO 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.