Historical rule simulator

Backtest: After a 30% 30-Day Correction

Simulates one mechanical rule โ€” buy after a 30% 30-day correction, hold a fixed number of days, then exit โ€” 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

12 historical signal(s) detected for Avalanche; 9 non-overlapping trade(s) taken at a 7-day hold (3 skipped because a position was already open).

Completed trades9
Win rate33.3%
Average return / trade-2.96%
Compounded total return-27.17%
Max drawdown-34.09%
Buy & hold, same period-70.28%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-10-17 2025-10-24 $20.9570 $19.1297 -8.72% 91.28
2025-10-29 2025-11-05 $19.4912 $16.0144 -17.84% 75.00
2025-11-15 2025-11-22 $15.1362 $13.3013 -12.12% 65.91
2025-11-22 2025-11-29 $13.3013 $14.8529 +11.66% 73.59
2025-12-02 2025-12-09 $12.7512 $13.6405 +6.97% 78.73
2026-02-04 2026-02-11 $9.9393 $8.7494 -11.97% 69.30
2026-02-24 2026-03-03 $8.4540 $9.2129 +8.98% 75.52
2026-06-06 2026-06-13 $6.7209 $6.5676 -2.28% 73.80
2026-06-19 2026-06-26 $6.3106 $6.2279 -1.31% 72.83

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 ยท Read the full methodology