| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | DYNF | SPY | Δ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 · ytd | +1.2% | −0.8% | −4.4% | +9.9% | +5.5% | +1.0% | −3.5% | — | — | — | — | — | +8.4% | +7.5% | +0.9pp |
| 2025 | +2.5% | −0.7% | −6.1% | −0.4% | +6.9% | +5.2% | +2.8% | +2.3% | +3.6% | +2.8% | −0.0% | +0.2% | +20.0% | +17.7% | +2.3pp |
| 2024 | +2.0% | +6.9% | +2.9% | −4.2% | +5.8% | +4.4% | +0.7% | +3.0% | +1.9% | +0.1% | +6.5% | −2.6% | +30.3% | +24.9% | +5.4pp |
| 2023 | +7.7% | −1.9% | +4.7% | +1.8% | +2.3% | +6.6% | +4.3% | −1.7% | −4.7% | −2.7% | +10.6% | +5.6% | +36.2% | +26.2% | +10.1pp |
| 2022 | −7.2% | −3.2% | +2.9% | −8.5% | +1.0% | −8.2% | +8.2% | −3.9% | −9.1% | +8.1% | +5.5% | −5.6% | −20.3% | −18.2% | −2.1pp |
| 2021 | −0.0% | +3.6% | +4.0% | +4.1% | +1.8% | +1.5% | +1.7% | +2.8% | −4.5% | +7.3% | −1.3% | +2.0% | +25.0% | +28.7% | −3.7pp |
| 2020 | −0.1% | −8.9% | −13.1% | +11.0% | +5.9% | +0.3% | +3.8% | +6.2% | −2.6% | −2.5% | +12.4% | +3.4% | +13.5% | +18.3% | −4.9pp |
| 2019 · part | — | — | — | +3.1% | −5.1% | +6.6% | +1.7% | −0.9% | +1.4% | +1.4% | +3.0% | +2.7% | +14.2% | +31.2% | −17.0pp |
A month’s return is its month-end close over the prior month-end’s, so a year’s figure is exactly the product of its twelve monthly cells — no separate annualisation, no resampling. A blank cell means no return exists for that month (the series had not started, or it is the very first month-end, which has nothing to be measured against). Blank is never zero.
Basis. DYNF is on the total return (splits + dividends) basis, SPY on the total return (splits + dividends) basis. Both columns are on the same basis, so the Δ column is a like-for-like difference.
Partial years. A year marked “ytd” or “part” does not cover the full calendar year: either the stored history starts inside it (the figure is measured from the first month-end present) or the data stops before December (the figure runs through the last stored close). The row’s own tooltip names the exact boundary. It is never dressed up as a calendar-year return.
End of day. These are stored end-of-day closes, and the window is anchored on the LAST stored bar rather than today’s date — so the newest row ends where the data ends. Nothing here is intraday.
| Month | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Years ⓘ | 7 | 7 | 7 | 8 | 8 | 8 | 8 | 7 | 7 | 7 | 7 | 7 |
| Positive ⓘ | 57% | 29% | 57% | 63% | 88% | 88% | 88% | 57% | 43% | 71% | 71% | 71% |
| Median | +1.2% | −0.8% | +2.9% | +2.4% | +3.9% | +3.0% | +2.3% | +2.3% | −2.6% | +1.4% | +5.5% | +2.0% |
| Best | +7.7% | +6.9% | +4.7% | +11.0% | +6.9% | +6.6% | +8.2% | +6.2% | +3.6% | +8.1% | +12.4% | +5.6% |
| Worst | −7.2% | −8.9% | −13.1% | −8.5% | −5.1% | −8.2% | −3.5% | −3.9% | −9.1% | −2.7% | −1.3% | −5.6% |
| vs SPY ⓘ | −0.1pp | +0.5pp | −0.5pp | −0.4pp | +1.0pp | +0.1pp | −0.6pp | +0.2pp | +0.1pp | −0.0pp | −0.1pp | −0.2pp |
88 monthly observations across 2019–2026, benchmark SPY. The highlighted column is the current calendar month. Months are calendar months, not rolling 30-day windows.
