Transparent historical data
What Happens to Chainlink After a 3x Volume Spike?
Chainlink has recorded 4 completed independent occurrences in this 7-day study. The median subsequent return was -4.44% and 25.0% 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 7-day outcomes
Not enough completed data yet for a distribution chart.
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 | 4 | -1.83% | -1.99% | 25.0% | 1.34% | -5.64% |
| 3 days | 4 | 3.68% | 3.56% | 50.0% | 14.57% | -7.70% |
| 7 days | 4 | -4.44% | -2.93% | 25.0% | 10.17% | -13.02% |
| 14 days | 3 | 3.11% | 1.81% | 66.7% | 5.33% | -3.01% |
| 30 days | 1 | -8.23% | -8.23% | 0.0% | -8.23% | -8.23% |
| 90 days | 1 | -23.82% | -23.82% | 0.0% | -23.82% | -23.82% |
Historical occurrences
4 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 |
|---|---|---|---|---|---|---|---|---|
| 2026-09-09 | 10.11 | $12.51 | -5.64% | -7.70% | -13.02% | — | — | — |
| 2026-08-22 | 5.68 | $11.99 | -2.87% | -3.09% | -4.67% | -3.01% | — | — |
| 2026-08-20 | 3.65 | $10.55 | +1.34% | +10.44% | +10.17% | +5.33% | — | — |
| 2025-10-11 | 4.00 | $17.35 | -0.79% | +14.57% | -4.21% | +3.11% | -8.23% | -23.82% |
Best 7-day cases
- 2026-08-20: +10.17%
- 2025-10-11: -4.21%
- 2026-08-22: -4.67%
Worst 7-day cases
- 2026-09-09: -13.02%
- 2026-08-22: -4.67%
- 2025-10-11: -4.21%
How this study works
Daily volume is compared with the median of the preceding 30 complete observations.
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.