Transparent historical data
What Happens to Hyperliquid After a 10% One-Day Rise?
Hyperliquid has recorded 11 completed independent occurrences in this 7-day study. The median subsequent return was 13.14% and 81.8% 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 3-day outcomes
| Return range | Occurrences |
|---|---|
| -0.1% to +2.5% | 2 |
| +2.5% to +5.0% | 2 |
| +5.0% to +7.6% | 2 |
| +7.6% to +10.2% | 2 |
| +10.2% to +12.7% | 0 |
| +12.7% to +15.3% | 1 |
| +15.3% to +17.9% | 1 |
| +17.9% to +20.4% | 0 |
| +20.4% to +23.0% | 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 | 11 | 1.09% | 3.72% | 81.8% | 23.15% | -3.56% |
| 3 days | 11 | 7.47% | 8.41% | 90.9% | 22.98% | -0.09% |
| 7 days | 11 | 13.14% | 13.18% | 81.8% | 33.04% | -2.84% |
| 14 days | 11 | 8.77% | 11.50% | 63.6% | 39.44% | -15.01% |
| 30 days | 10 | 11.69% | 7.48% | 70.0% | 37.43% | -25.33% |
| 90 days | 10 | 34.37% | 24.11% | 70.0% | 105.94% | -48.71% |
Historical occurrences
11 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 |
|---|---|---|---|---|---|---|---|---|
| 2026-08-20 | 18.95 | $69.60 | +5.82% | +14.20% | +18.24% | +17.69% | — | — |
| 2026-06-12 | 10.60 | $58.91 | +0.65% | +8.45% | +15.89% | +8.77% | +13.42% | +41.86% |
| 2026-05-21 | 13.93 | $54.76 | +6.99% | +7.13% | +5.59% | +36.05% | +28.33% | +6.85% |
| 2026-05-15 | 13.77 | $44.16 | +0.01% | +3.47% | +32.68% | +39.44% | +37.43% | +26.89% |
| 2026-03-10 | 12.53 | $34.66 | +0.09% | +7.47% | +17.63% | +7.83% | +11.70% | +72.00% |
| 2026-03-01 | 14.14 | $31.28 | +1.09% | +0.18% | -2.84% | +21.01% | +17.76% | +105.94% |
| 2026-01-27 | 12.20 | $24.99 | +23.15% | +22.98% | +33.04% | +25.44% | +11.67% | +70.05% |
| 2025-12-20 | 10.40 | $24.87 | -3.56% | -0.09% | +3.66% | -1.16% | -1.94% | +58.01% |
| 2025-10-26 | 12.59 | $44.28 | +6.85% | +7.89% | -2.37% | -9.54% | -23.78% | -48.71% |
| 2025-10-24 | 10.73 | $40.16 | -2.08% | +17.80% | +13.14% | -4.02% | -25.33% | -46.16% |
| 2025-09-27 | 10.65 | $44.85 | +1.89% | +3.04% | +10.36% | -15.01% | +5.49% | -45.63% |
Best 7-day cases
- 2026-01-27: +33.04%
- 2026-05-15: +32.68%
- 2026-08-20: +18.24%
Worst 7-day cases
- 2026-03-01: -2.84%
- 2025-10-26: -2.37%
- 2025-12-20: +3.66%
How this study works
An occurrence begins when the UTC daily reference-price return over 1 day(s) rises to or above 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.