Transparent historical data
What Happens to Zcash After a 20% 30-Day Correction?
Zcash has recorded 10 completed independent occurrences in this 7-day study. The median subsequent return was 7.37% and 60.0% of outcomes finished higher.
Source: CoinGecko. Available local data: 2025-09-11 through 2026-09-16. Compare across assets → · Backtest this rule →
Outcome summary
Distribution of 30-day outcomes
| Return range | Occurrences |
|---|---|
| -26.1% to -15.7% | 2 |
| -15.7% to -5.4% | 2 |
| -5.4% to +5.0% | 1 |
| +5.0% to +15.4% | 0 |
| +15.4% to +25.7% | 2 |
| +25.7% to +36.1% | 0 |
| +36.1% to +46.5% | 2 |
| +46.5% to +56.9% | 0 |
| +56.9% to +67.2% | 1 |
All forward horizons
Click a horizon to jump the summary above to it, or a column header to re-sort this table.
| Horizon | Sample | Median | Average | Positive | Best | Worst |
|---|---|---|---|---|---|---|
| 1 days | 10 | 1.86% | 2.29% | 70.0% | 11.75% | -7.14% |
| 3 days | 10 | 6.12% | 4.95% | 60.0% | 17.59% | -7.15% |
| 7 days | 10 | 7.37% | 9.11% | 60.0% | 37.93% | -8.60% |
| 14 days | 10 | 11.42% | 6.61% | 60.0% | 30.92% | -27.18% |
| 30 days | 10 | 9.26% | 11.13% | 60.0% | 67.25% | -26.12% |
| 90 days | 9 | -10.70% | 22.83% | 44.4% | 144.28% | -47.50% |
Historical occurrences
10 independent episodes. Recent events can have incomplete longer horizons.
Filters apply to the list below only — outcome statistics above use the complete historical sample.
| Date | Trigger | Price | 1d | 3d | 7d | 14d | 30d | 90d |
|---|---|---|---|---|---|---|---|---|
| 2026-06-19 | -20.58 | $455.55 | +4.65% | -4.72% | -8.60% | -4.69% | +22.58% | — |
| 2026-06-06 | -29.69 | $389.99 | -7.14% | +17.59% | +5.57% | +22.24% | +18.44% | +144.28% |
| 2026-03-20 | -20.73 | $234.50 | +0.17% | -7.15% | -5.55% | +2.74% | +37.84% | +103.35% |
| 2026-02-19 | -28.63 | $263.13 | -0.62% | -1.68% | -7.46% | -7.55% | -10.73% | +117.99% |
| 2026-01-26 | -26.75 | $328.01 | +11.75% | +12.87% | -6.95% | -27.18% | -26.12% | +9.41% |
| 2026-01-21 | -20.83 | $349.54 | +1.57% | +4.96% | +13.83% | -22.54% | -25.19% | -10.70% |
| 2025-12-24 | -27.09 | $417.36 | +7.43% | +7.29% | +26.49% | +20.10% | -12.64% | -45.29% |
| 2025-12-15 | -33.51 | $404.40 | +2.15% | -6.87% | +9.18% | +30.92% | +0.08% | -47.50% |
| 2025-12-06 | -25.00 | $359.95 | -5.07% | +12.55% | +26.70% | +23.46% | +39.81% | -37.20% |
| 2025-12-03 | -24.82 | $314.05 | +7.98% | +14.62% | +37.93% | +28.56% | +67.25% | -28.84% |
Best 7-day cases
- 2025-12-03: +37.93%
- 2025-12-06: +26.70%
- 2025-12-24: +26.49%
Worst 7-day cases
- 2026-06-19: -8.60%
- 2026-02-19: -7.46%
- 2026-01-26: -6.95%
How this study works
An occurrence begins when the UTC daily reference-price return over 30 day(s) falls to or below -20%. Adjacent qualifying dates and the configured cooldown are grouped into one episode.
Forward return = ((price on T + horizon / price on T) − 1) × 100. Missing exact UTC dates are marked incomplete and excluded from aggregates. Percentiles use inclusive linear interpolation.