Transparent historical data
What Happens to Hyperliquid After a 10% One-Day Drop?
This study currently has no completed 7-day observations in the locally stored Hyperliquid dataset.
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 |
|---|---|
| -17.1% to -11.0% | 1 |
| -11.0% to -4.9% | 0 |
| -4.9% to +1.2% | 0 |
| +1.2% to +7.3% | 1 |
| +7.3% to +13.4% | 3 |
| +13.4% to +19.5% | 0 |
| +19.5% to +25.6% | 0 |
| +25.6% to +31.7% | 0 |
| +31.7% to +37.9% | 1 |
All forward horizons
Click a horizon to jump the summary above to it, or a column header to re-sort this table.
Historical occurrences
6 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 |
|---|---|---|---|---|---|---|---|---|
| 2026-06-05 | -13.61 | $64.37 | -7.23% | -7.38% | -8.48% | +6.06% | +8.47% | +27.27% |
| 2026-01-30 | -10.33 | $30.74 | -0.53% | -0.36% | +7.38% | +1.34% | +1.74% | +29.96% |
| 2026-01-21 | -11.28 | $21.09 | +2.51% | +7.66% | +45.94% | +54.19% | +37.86% | +93.05% |
| 2025-11-23 | -11.44 | $29.99 | +6.04% | +12.50% | +14.69% | +3.21% | -17.12% | +1.40% |
| 2025-10-11 | -13.48 | $38.12 | -3.20% | +11.42% | -6.95% | +3.17% | +9.47% | -32.65% |
| 2025-09-26 | -11.04 | $40.53 | +10.65% | +16.37% | +24.98% | +8.69% | +9.24% | -37.92% |
Best 7-day cases
- 2026-01-21: +45.94%
- 2025-09-26: +24.98%
- 2025-11-23: +14.69%
Worst 7-day cases
- 2026-06-05: -8.48%
- 2025-10-11: -6.95%
- 2026-01-30: +7.38%
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.