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 Ethereum

4 historical signal(s) detected for Ethereum; 3 non-overlapping trade(s) taken at a 7-day hold (1 skipped because a position was already open).

Completed trades3
Win rate66.7%
Average return / trade-0.58%
Compounded total return-2.34%
Max drawdown-9.27%
Buy & hold, same period-22.29%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2026-02-05 2026-02-12 $2143.2934 $1944.6819 -9.27% 90.73
2026-02-27 2026-03-06 $2027.5051 $2073.3589 +2.26% 92.79
2026-06-06 2026-06-13 $1582.4588 $1665.5551 +5.25% 97.66

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 Ethereum ยท Read the full methodology