Transparent historical data
What Happens to Dogecoin After a 15% 30-Day Correction?
Dogecoin has recorded 12 completed independent occurrences in this 7-day study. The median subsequent return was -3.85% and 16.7% of outcomes finished higher.
Source: CoinGecko. Available local data: 2025-09-10 through 2026-09-16. Compare across assets → · Backtest this rule →
Outcome summary
Distribution of 30-day outcomes
| Return range | Occurrences |
|---|---|
| -21.1% to -17.3% | 2 |
| -17.3% to -13.4% | 2 |
| -13.4% to -9.6% | 1 |
| -9.6% to -5.7% | 1 |
| -5.7% to -1.9% | 2 |
| -1.9% to +2.0% | 1 |
| +2.0% to +5.8% | 0 |
| +5.8% to +9.7% | 2 |
| +9.7% to +13.5% | 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 | 12 | -0.25% | -0.18% | 50.0% | 6.44% | -4.33% |
| 3 days | 12 | -0.36% | -1.07% | 50.0% | 10.50% | -10.35% |
| 7 days | 12 | -3.85% | -4.27% | 16.7% | 2.31% | -16.08% |
| 14 days | 12 | -5.31% | -2.55% | 41.7% | 13.84% | -11.11% |
| 30 days | 12 | -5.72% | -5.58% | 25.0% | 13.54% | -21.13% |
| 90 days | 10 | -29.47% | -26.25% | 10.0% | 3.85% | -44.04% |
Historical occurrences
12 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 |
|---|---|---|---|---|---|---|---|---|
| 2026-07-13 | -15.43 | $0.07 | -1.06% | +1.85% | -0.46% | +0.86% | -1.18% | — |
| 2026-07-09 | -16.15 | $0.07 | +0.67% | +1.12% | +2.31% | +0.82% | -3.82% | — |
| 2026-06-04 | -17.03 | $0.09 | -3.10% | -10.35% | -9.19% | -5.99% | -15.14% | -10.60% |
| 2026-02-01 | -17.63 | $0.10 | +0.31% | +1.46% | -5.61% | +6.74% | -9.82% | +3.85% |
| 2025-12-25 | -15.33 | $0.13 | -3.84% | -3.28% | -8.59% | +13.84% | -2.40% | -25.44% |
| 2025-12-16 | -20.36 | $0.13 | +1.52% | -5.93% | +2.09% | -5.42% | +13.54% | -23.98% |
| 2025-12-08 | -22.64 | $0.14 | +2.96% | +3.57% | -3.10% | -5.36% | +8.47% | -34.11% |
| 2025-12-06 | -16.56 | $0.14 | +0.15% | +2.20% | -1.87% | -5.27% | +7.44% | -32.63% |
| 2025-11-18 | -19.89 | $0.15 | +6.44% | -1.84% | -0.06% | -10.76% | -16.88% | -32.23% |
| 2025-11-12 | -17.05 | $0.17 | -1.19% | -8.39% | -6.08% | -11.08% | -18.41% | -44.04% |
| 2025-10-29 | -18.35 | $0.19 | -0.64% | -3.74% | -16.08% | -11.11% | -21.13% | -36.62% |
| 2025-10-11 | -21.08 | $0.19 | -4.33% | +10.50% | -4.61% | +2.08% | -7.62% | -26.71% |
Best 7-day cases
- 2026-07-09: +2.31%
- 2025-12-16: +2.09%
- 2025-11-18: -0.06%
Worst 7-day cases
- 2025-10-29: -16.08%
- 2026-06-04: -9.19%
- 2025-12-25: -8.59%
How this study works
An occurrence begins when the UTC daily reference-price return over 30 day(s) falls to or below -15%. 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.