Seasonality — IBEX
Historical monthly return patterns and seasonal trends
Month-by-month tendency map for return and win-rate behavior.
Average Monthly Return (%)
| Month | Avg Return | Win Rate | Years |
|---|
| January | +1.70% | 8000% | 5 |
| February | -1.11% | 6000% | 5 |
| March | -2.49% | 3330% | 6 |
| April | -5.58% | 3330% | 6 |
| May(current) | +9.23% | 8330% | 6 |
| June | -2.18% | 6000% | 5 |
| July | +3.39% | 8000% | 5 |
| August | -2.08% | 4000% | 5 |
| September | +8.39% | 6000% | 5 |
| October | -2.88% | 4000% | 5 |
| November | +3.64% | 6000% | 5 |
| December | +4.17% | 8000% | 5 |
How to Use Seasonality
Seasonality shows historical monthly patterns, not a catalyst override for the current tape.
What it shows
This view summarizes average monthly returns, win rates, and recurring strength or weakness windows across the available history.
How traders use it
It can help with timing bias, patience around entries, and deciding whether a trade is aligned with a historically supportive or hostile month.
What to watch for
Small samples, changing regimes, and major catalysts can overwhelm historical tendency quickly, so seasonality should be supporting evidence only.
A strong seasonal tendency is most useful when it lines up with current volatility, positioning, and catalyst context.