Transparent historical data
What Happens to Zcash After a 15% 30-Day Correction?
Zcash has recorded 10 completed independent occurrences in this 7-day study. The median subsequent return was 1.96% and 50.0% 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 7-day outcomes
| Return range | Occurrences |
|---|---|
| -12.8% to -9.4% | 2 |
| -9.4% to -6.1% | 2 |
| -6.1% to -2.7% | 0 |
| -2.7% to +0.6% | 1 |
| +0.6% to +4.0% | 0 |
| +4.0% to +7.4% | 2 |
| +7.4% to +10.7% | 1 |
| +10.7% to +14.1% | 0 |
| +14.1% to +17.5% | 2 |
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 | -0.86% | -1.53% | 50.0% | 8.09% | -8.95% |
| 3 days | 10 | 3.15% | 2.75% | 50.0% | 17.59% | -12.80% |
| 7 days | 10 | 1.96% | 1.70% | 50.0% | 17.45% | -12.79% |
| 14 days | 10 | 5.82% | 3.24% | 60.0% | 30.92% | -34.56% |
| 30 days | 10 | 16.61% | 12.93% | 70.0% | 62.96% | -36.75% |
| 90 days | 10 | 41.87% | 48.00% | 60.0% | 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 |
|---|---|---|---|---|---|---|---|---|
| 2026-06-18 | -15.32 | $476.86 | -4.47% | -1.25% | -12.79% | -12.62% | +14.77% | +132.78% |
| 2026-06-06 | -29.69 | $389.99 | -7.14% | +17.59% | +5.57% | +22.24% | +18.44% | +144.28% |
| 2026-03-22 | -17.13 | $216.71 | +0.48% | +11.57% | -1.64% | +15.57% | +44.04% | +119.99% |
| 2026-03-19 | -15.37 | $248.51 | -5.64% | -12.80% | -6.87% | +1.38% | +32.40% | +103.11% |
| 2026-03-09 | -17.76 | $197.46 | +8.09% | +7.70% | +16.78% | +10.27% | +62.96% | +83.41% |
| 2026-01-24 | -18.18 | $366.89 | -2.19% | -0.09% | -7.30% | -34.56% | -36.75% | -6.59% |
| 2026-01-19 | -17.69 | $365.76 | +0.80% | -2.93% | -10.32% | -16.55% | -19.12% | -11.63% |
| 2026-01-11 | -17.11 | $373.89 | +1.61% | +8.24% | +6.94% | -4.02% | -35.71% | +0.33% |
| 2025-12-15 | -33.51 | $404.40 | +2.15% | -6.87% | +9.18% | +30.92% | +0.08% | -47.50% |
| 2025-12-02 | -16.20 | $344.93 | -8.95% | +6.39% | +17.45% | +19.76% | +48.18% | -38.19% |
Best 7-day cases
- 2025-12-02: +17.45%
- 2026-03-09: +16.78%
- 2025-12-15: +9.18%
Worst 7-day cases
- 2026-06-18: -12.79%
- 2026-01-19: -10.32%
- 2026-01-24: -7.30%
How this study works
An occurrence begins when the UTC daily reference-price return over 30 day(s) falls to or below -15%. 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.