Transparent historical data
What Happens to Hyperliquid After a New 30-Day High?
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 โ ยท Backtest this rule โ
Outcome summary
Distribution of 30-day outcomes
| Return range | Occurrences |
|---|---|
| -12.3% to -4.2% | 3 |
| -4.2% to +4.0% | 1 |
| +4.0% to +12.1% | 1 |
| +12.1% to +20.3% | 0 |
| +20.3% to +28.4% | 0 |
| +28.4% to +36.6% | 0 |
| +36.6% to +44.7% | 0 |
| +44.7% to +52.8% | 0 |
| +52.8% to +61.0% | 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
8 independent episodes. Recent events can have incomplete longer horizons.
Filters apply to the list below only โ outcome statistics above use the complete historical sample.
| Date | Trigger | Price | 1d | 3d | 7d | 14d | 30d | 90d |
|---|---|---|---|---|---|---|---|---|
| 2026-09-04 | 3.27 | $87.45 | -3.46% | +0.57% | -10.17% | โ | โ | โ |
| 2026-08-20 | 11.51 | $69.60 | +5.82% | +14.20% | +18.24% | +17.69% | โ | โ |
| 2026-05-30 | 2.58 | $64.41 | +5.96% | +14.11% | -7.29% | -7.95% | -4.64% | +31.47% |
| 2026-05-18 | 2.40 | $45.69 | +4.42% | +19.85% | +37.43% | +57.65% | +60.99% | +24.46% |
| 2026-04-12 | 0.57 | $42.31 | -3.43% | +3.03% | +3.53% | -1.93% | -0.74% | +59.40% |
| 2026-03-10 | 5.46 | $34.66 | +0.09% | +7.47% | +17.63% | +7.83% | +11.70% | +72.00% |
| 2026-02-05 | 3.36 | $35.43 | -6.84% | -11.17% | -16.89% | -19.04% | -12.30% | +23.40% |
| 2026-01-28 | 9.08 | $30.78 | +11.36% | -0.67% | +5.66% | -6.30% | -8.38% | +35.31% |
Best 7-day cases
- 2026-05-18: +37.43%
- 2026-08-20: +18.24%
- 2026-03-10: +17.63%
Worst 7-day cases
- 2026-02-05: -16.89%
- 2026-09-04: -10.17%
- 2026-05-30: -7.29%
How this study works
The daily reference price must exceed every earlier price in the prior 30 days; nearby highs are grouped.
Forward return = ((price on T + horizon / price on T) โ 1) ร 100. Missing exact UTC dates are marked incomplete and excluded from aggregates. Percentiles use inclusive linear interpolation.