Transparent historical data
What Happens to Bitcoin Cash After a 10% One-Day Drop?
Bitcoin Cash has recorded 4 completed independent occurrences in this 7-day study. The median subsequent return was -6.12% and 25.0% 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
Not enough completed data yet for a distribution chart.
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 | 5 | 1.91% | 3.39% | 80.0% | 13.54% | -2.83% |
| 3 days | 5 | 0.91% | 4.17% | 60.0% | 15.07% | -1.28% |
| 7 days | 4 | -6.12% | -5.08% | 25.0% | 10.08% | -18.18% |
| 14 days | 4 | -3.82% | -4.30% | 25.0% | 22.05% | -31.58% |
| 30 days | 4 | -1.39% | -5.34% | 25.0% | 16.30% | -34.88% |
| 90 days | 4 | 11.96% | 9.11% | 75.0% | 22.90% | -10.37% |
Historical occurrences
5 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 |
|---|---|---|---|---|---|---|---|---|
| 2026-09-11 | -11.13 | $223.84 | +1.91% | -1.28% | — | — | — | — |
| 2026-06-06 | -14.49 | $209.81 | +3.57% | -0.22% | -3.69% | -5.49% | +16.30% | +22.30% |
| 2026-05-29 | -10.46 | $299.86 | +0.77% | +0.91% | -18.18% | -31.58% | -34.88% | -10.37% |
| 2026-02-06 | -13.87 | $458.44 | +13.54% | +15.07% | +10.08% | +22.05% | -0.66% | +1.63% |
| 2025-10-11 | -11.38 | $514.13 | -2.83% | +6.36% | -8.55% | -2.16% | -2.12% | +22.90% |
Best 7-day cases
- 2026-02-06: +10.08%
- 2026-06-06: -3.69%
- 2025-10-11: -8.55%
Worst 7-day cases
- 2026-05-29: -18.18%
- 2025-10-11: -8.55%
- 2026-06-06: -3.69%
How this study works
An occurrence begins when the UTC daily reference-price return over 1 day(s) falls to or below -10%. 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.