Transparent historical data
What Happens to Zcash After a 20% Seven-Day Drop?
Zcash has recorded 10 completed independent occurrences in this 7-day study. The median subsequent return was -1.93% 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 1-day outcomes
| Return range | Occurrences |
|---|---|
| -19.6% to -16.2% | 1 |
| -16.2% to -12.9% | 0 |
| -12.9% to -9.6% | 0 |
| -9.6% to -6.3% | 3 |
| -6.3% to -3.0% | 1 |
| -3.0% to +0.3% | 0 |
| +0.3% to +3.7% | 3 |
| +3.7% to +7.0% | 1 |
| +7.0% to +10.3% | 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 | -1.56% | -2.22% | 50.0% | 10.30% | -19.55% |
| 3 days | 10 | -0.30% | 0.04% | 50.0% | 19.12% | -20.91% |
| 7 days | 10 | -1.93% | -2.97% | 50.0% | 24.59% | -35.59% |
| 14 days | 10 | -4.85% | 0.34% | 30.0% | 86.26% | -34.16% |
| 30 days | 10 | -5.38% | 12.42% | 50.0% | 177.67% | -35.71% |
| 90 days | 10 | 28.30% | 46.01% | 60.0% | 171.67% | -53.97% |
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 |
|---|---|---|---|---|---|---|---|---|
| 2026-06-10 | -29.50 | $429.07 | -4.73% | -4.05% | +17.64% | -3.12% | +12.15% | +165.49% |
| 2026-06-06 | -26.33 | $389.99 | -7.14% | +17.59% | +5.57% | +22.24% | +18.44% | +144.28% |
| 2026-02-23 | -21.92 | $232.07 | +2.37% | +4.93% | -8.13% | -14.91% | +4.18% | +171.67% |
| 2026-02-04 | -31.95 | $270.76 | -7.24% | -11.32% | -13.63% | +9.26% | -16.51% | +56.27% |
| 2026-01-22 | -20.52 | $355.03 | +2.70% | +1.08% | +4.28% | -29.26% | -27.32% | -10.72% |
| 2026-01-11 | -26.95 | $373.89 | +1.61% | +8.24% | +6.94% | -4.02% | -35.71% | +0.33% |
| 2025-12-01 | -25.10 | $428.76 | -19.55% | -20.91% | -20.02% | -5.68% | +23.13% | -48.61% |
| 2025-11-27 | -21.73 | $526.44 | -7.06% | -12.62% | -35.59% | -23.26% | -14.94% | -53.97% |
| 2025-11-23 | -22.09 | $519.01 | +10.30% | -1.67% | -11.36% | -34.16% | -16.87% | -50.29% |
| 2025-10-19 | -24.60 | $220.99 | +6.58% | +19.12% | +24.59% | +86.26% | +177.67% | +85.62% |
Best 7-day cases
- 2025-10-19: +24.59%
- 2026-06-10: +17.64%
- 2026-01-11: +6.94%
Worst 7-day cases
- 2025-11-27: -35.59%
- 2025-12-01: -20.02%
- 2026-02-04: -13.63%
How this study works
An occurrence begins when the UTC daily reference-price return over 7 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.