| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | ADPT | SPY | Δ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 · ytd | +13.9% | −13.4% | −13.4% | +1.6% | +7.4% | +41.6% | +5.2% | — | — | — | — | — | +38.9% | +7.5% | +31.4pp |
| 2025 | +29.3% | +6.6% | −10.0% | −0.9% | +29.3% | +22.4% | −12.1% | +28.7% | +13.5% | +16.0% | +13.2% | −17.4% | +170.9% | +17.7% | +153.2pp |
| 2024 | −25.1% | +12.0% | −21.9% | −18.4% | +31.7% | +4.9% | +25.7% | +3.3% | +8.9% | −5.5% | +22.7% | +0.9% | +22.3% | +24.9% | −2.5pp |
| 2023 | +21.3% | −7.8% | +3.3% | −19.1% | −2.5% | −3.6% | +25.8% | −19.8% | −19.5% | −18.5% | −1.4% | +11.9% | −35.9% | +26.2% | −62.0pp |
| 2022 | −37.8% | −17.3% | −3.8% | −40.6% | −5.2% | +3.5% | +13.2% | −2.6% | −20.2% | +9.3% | +12.9% | −13.0% | −72.8% | −18.2% | −54.6pp |
| 2021 | −6.2% | +2.0% | −28.8% | +3.3% | −9.1% | +8.1% | −10.3% | −0.9% | −6.4% | −1.7% | −21.9% | +7.6% | −52.5% | +28.7% | −81.3pp |
| 2020 | −0.1% | −6.0% | −1.1% | +15.2% | +20.9% | +25.0% | −22.9% | +11.5% | +16.9% | −5.2% | +4.6% | +22.6% | +97.6% | +18.3% | +79.3pp |
| 2019 · part | — | — | — | — | — | — | −20.2% | +31.9% | −39.2% | −15.6% | +4.3% | +10.0% | −38.1% | +31.2% | −69.3pp |
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. ADPT 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 | 7 | 7 | 7 | 8 | 7 | 7 | 7 | 7 | 7 |
| Positive ⓘ | 43% | 43% | 14% | 43% | 57% | 86% | 50% | 57% | 43% | 29% | 71% | 71% |
| Median | −0.1% | −6.0% | −10.0% | −0.9% | +7.4% | +8.1% | −2.6% | +3.3% | −6.4% | −5.2% | +4.6% | +7.6% |
| Best | +29.3% | +12.0% | +3.3% | +15.2% | +31.7% | +41.6% | +25.8% | +31.9% | +16.9% | +16.0% | +22.7% | +22.6% |
| Worst | −37.8% | −17.3% | −28.8% | −40.6% | −9.1% | −3.6% | −22.9% | −19.8% | −39.2% | −18.5% | −21.9% | −17.4% |
| vs SPY ⓘ | −0.0pp | −0.8pp | −7.6pp | −8.9pp | +2.2pp | +11.7pp | −4.4pp | +1.5pp | −1.8pp | −4.6pp | +0.7pp | +3.3pp |
85 monthly observations across 2019–2026, benchmark SPY. The highlighted column is the current calendar month. Months are calendar months, not rolling 30-day windows.
