Raymond James Financial (RJF) Seasonality
Recurring seasonal patterns for RJF — the calendar windows where Raymond James Financial 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.
RJF's strongest seasonal patterns
| Seasonal window | Direction | Avg return | Win rate | Hold |
|---|---|---|---|---|
| Oct 26 – Nov 25 | Bullish | +8.30% | 90% | 30d |
| Nov 1 – Nov 11 | Bullish | +5.44% | 90% | 10d |
| Oct 31 – Nov 10 | Bullish | +5.38% | 90% | 10d |
| Oct 30 – Nov 9 | Bullish | +4.67% | 90% | 10d |
| Jun 28 – Jul 28 | Bullish | +4.66% | 90% | 30d |
| Dec 21 – Jan 20 | Bullish | +4.17% | 90% | 30d |
| Mar 23 – Apr 2 | Bullish | +3.83% | 90% | 10d |
| Oct 29 – Nov 8 | Bullish | +3.80% | 90% | 10d |
| Dec 30 – Jan 20 | Bullish | +3.73% | 90% | 21d |
| Dec 22 – Jan 21 | Bullish | +3.53% | 90% | 30d |
| Dec 29 – Jan 19 | Bullish | +3.46% | 90% | 21d |
| Oct 28 – Nov 7 | Bullish | +3.35% | 90% | 10d |
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 RJF seasonality in full
See the seasonal curve chart, filter by win rate and return, and track upcoming windows — free during beta.
What is RJF stock seasonality?
Stock seasonality is the tendency of a stock to perform in a similar way during the same period each year. By analysing Raymond James Financial's price history across many years, SeasonalityX identifies recurring calendar windows — exact start and end dates — where RJF 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.