Transparent historical data
What Happens to Litecoin After a 20% 30-Day Correction?
Litecoin has recorded 11 completed independent occurrences in this 7-day study. The median subsequent return was -0.27% and 45.5% 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 90-day outcomes
| Return range | Occurrences |
|---|---|
| -34.1% to -28.2% | 3 |
| -28.2% to -22.3% | 2 |
| -22.3% to -16.4% | 1 |
| -16.4% to -10.5% | 0 |
| -10.5% to -4.6% | 2 |
| -4.6% to +1.2% | 0 |
| +1.2% to +7.1% | 1 |
| +7.1% to +13.0% | 0 |
| +13.0% to +18.9% | 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 | -1.51% | 0.13% | 36.4% | 6.83% | -4.48% |
| 3 days | 11 | -0.16% | 1.47% | 45.5% | 9.90% | -4.31% |
| 7 days | 11 | -0.27% | 2.10% | 45.5% | 19.39% | -7.15% |
| 14 days | 11 | 1.66% | 0.81% | 63.6% | 7.60% | -5.84% |
| 30 days | 11 | 0.80% | 2.32% | 54.5% | 11.41% | -8.17% |
| 90 days | 10 | -20.50% | -15.78% | 20.0% | 18.93% | -34.12% |
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 |
|---|---|---|---|---|---|---|---|---|
| 2026-06-24 | -20.13 | $42.12 | -2.49% | -0.61% | -0.53% | +4.23% | +11.41% | — |
| 2026-06-06 | -23.71 | $43.28 | -4.48% | -0.64% | -0.52% | +1.69% | +5.73% | +18.93% |
| 2026-02-27 | -20.44 | $55.66 | -1.94% | -4.31% | -0.27% | -2.07% | -3.25% | -6.74% |
| 2026-02-23 | -24.11 | $51.63 | -0.24% | +9.90% | +3.15% | +1.99% | +9.28% | +3.51% |
| 2026-02-01 | -25.63 | $59.43 | -1.51% | -0.16% | -7.15% | -5.84% | -8.17% | -6.80% |
| 2025-12-19 | -22.28 | $74.26 | +4.35% | +3.46% | +1.91% | +7.60% | +0.80% | -24.53% |
| 2025-12-16 | -23.64 | $77.54 | +1.94% | -4.24% | -0.70% | +0.91% | -1.16% | -27.22% |
| 2025-12-08 | -20.53 | $81.38 | +3.10% | +3.74% | -2.93% | -5.60% | +3.05% | -34.12% |
| 2025-12-02 | -23.50 | $77.55 | +6.83% | +7.76% | +8.19% | -0.01% | -1.11% | -31.32% |
| 2025-11-04 | -27.50 | $87.37 | -2.33% | -0.46% | +19.39% | +4.36% | -1.67% | -33.01% |
| 2025-10-17 | -20.21 | $91.76 | -1.79% | +1.70% | +2.55% | +1.66% | +10.67% | -16.48% |
Best 7-day cases
- 2025-11-04: +19.39%
- 2025-12-02: +8.19%
- 2026-02-23: +3.15%
Worst 7-day cases
- 2026-02-01: -7.15%
- 2025-12-08: -2.93%
- 2025-12-16: -0.70%
How this study works
An occurrence begins when the UTC daily reference-price return over 30 day(s) falls to or below -20%. 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.