Historical rule simulator

Backtest: After a 15% 30-Day Correction

Simulates one mechanical rule โ€” buy after a 15% 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 Dogecoin

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

Completed trades9
Win rate22.2%
Average return / trade-5.29%
Compounded total return-39.62%
Max drawdown-40.98%
Buy & hold, same period-61.78%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-10-11 2025-10-18 $0.1937 $0.1848 -4.61% 95.39
2025-10-29 2025-11-05 $0.1936 $0.1625 -16.08% 80.06
2025-11-12 2025-11-19 $0.1721 $0.1616 -6.08% 75.19
2025-12-06 2025-12-13 $0.1395 $0.1369 -1.87% 73.78
2025-12-16 2025-12-23 $0.1297 $0.1324 +2.09% 75.32
2025-12-25 2026-01-01 $0.1285 $0.1175 -8.59% 68.85
2026-02-01 2026-02-08 $0.1045 $0.0986 -5.61% 64.99
2026-06-04 2026-06-11 $0.0913 $0.0829 -9.19% 59.02
2026-07-09 2026-07-16 $0.0724 $0.0740 +2.31% 60.38

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 Dogecoin ยท Read the full methodology