| Year | Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | ZM | SPY | Δ |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026 · ytd | +6.7% | −19.7% | +8.7% | +20.8% | +4.6% | −15.0% | +7.0% | — | — | — | — | — | +7.0% | +9.3% | −2.4pp |
| 2025 | +6.5% | −15.2% | +0.1% | +5.1% | +4.8% | −4.0% | −5.0% | +10.0% | +1.3% | +5.7% | −2.6% | +1.6% | +5.7% | +17.7% | −12.0pp |
| 2024 | −10.2% | +9.5% | −7.6% | −6.5% | +0.4% | −3.5% | +2.0% | +14.4% | +1.0% | +7.2% | +10.6% | −1.3% | +13.5% | +24.9% | −11.4pp |
| 2023 | +10.7% | −0.5% | −1.0% | −16.8% | +9.3% | +1.1% | +8.1% | −3.2% | −1.5% | −14.2% | +13.1% | +6.0% | +6.2% | +26.2% | −20.0pp |
| 2022 | −16.1% | −14.1% | −11.6% | −15.1% | +7.9% | +0.5% | −3.8% | −22.6% | −8.5% | +13.4% | −9.6% | −10.2% | −63.2% | −18.2% | −45.0pp |
| 2021 | +10.3% | +0.4% | −14.0% | −0.5% | +3.7% | +16.7% | −2.3% | −23.4% | −9.7% | +5.0% | −23.0% | −13.0% | −45.5% | +28.7% | −74.2pp |
| 2020 | +12.1% | +37.6% | +39.2% | −7.5% | +32.8% | +41.3% | +0.1% | +28.0% | +44.6% | −2.0% | +3.8% | −29.5% | +395.8% | +18.3% | +377.4pp |
| 2019 · part | — | — | — | — | +10.0% | +11.4% | +7.6% | −4.0% | −16.9% | −8.3% | +6.6% | −8.7% | −6.1% | +31.2% | −37.3pp |
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. ZM 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 | 8 | 8 | 8 | 7 | 7 | 7 | 7 | 7 |
| Positive ⓘ | 71% | 43% | 43% | 29% | 100% | 63% | 63% | 43% | 43% | 57% | 57% | 29% |
| Median | +6.7% | −0.5% | −1.0% | −6.5% | +6.3% | +0.8% | +1.1% | −3.2% | −1.5% | +5.0% | +3.8% | −8.7% |
| Best | +12.1% | +37.6% | +39.2% | +20.8% | +32.8% | +41.3% | +8.1% | +28.0% | +44.6% | +13.4% | +13.1% | +6.0% |
| Worst | −16.1% | −19.7% | −14.0% | −16.8% | +0.4% | −15.0% | −5.0% | −23.4% | −16.9% | −14.2% | −23.0% | −29.5% |
| vs SPY ⓘ | +4.4pp | −2.4pp | −4.7pp | −5.8pp | +5.4pp | −0.5pp | −2.0pp | −1.5pp | −1.1pp | +0.5pp | −2.8pp | −4.4pp |
87 monthly observations across 2019–2026, benchmark SPY. The highlighted column is the current calendar month. Months are calendar months, not rolling 30-day windows.
