Historical rule simulator
Backtest: When Bitcoin Drops 5% in a Day
Simulates one mechanical rule — buy when bitcoin drops 5% in a day, hold a fixed number of days, then exit — using only this site's own historical occurrence data. Only one position is held at a time; signals that fire while already in a trade are skipped and shown below.
Rule results for Avalanche
6 historical signal(s) detected for Avalanche; 5 non-overlapping trade(s) taken at a 7-day hold (1 skipped because a position was already open).
Hypothetical growth of $100
| Entry date | Exit date | Entry price | Exit price | Trade return | Equity after |
|---|---|---|---|---|---|
| 2025-10-11 | 2025-10-18 | $20.8648 | $19.9597 | -4.34% | 95.66 |
| 2025-11-21 | 2025-11-28 | $13.8139 | $15.0210 | +8.74% | 104.02 |
| 2026-01-30 | 2026-02-06 | $11.0771 | $8.3277 | -24.82% | 78.20 |
| 2026-02-06 | 2026-02-13 | $8.3277 | $8.9723 | +7.74% | 84.26 |
| 2026-06-03 | 2026-06-10 | $8.1696 | $6.6353 | -18.78% | 68.43 |
How this backtest works
Every trade uses the same independent-episode detection and forward-return data as the full study page. A trade is entered on the day a signal triggers and exited exactly 7 days later at the historical close; a new signal is ignored while a trade is still open, so the trade count below is always less than or equal to the number of raw signals. Returns compound sequentially starting from a hypothetical $100.
View the full study for Avalanche · Read the full methodology