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 Bitcoin Cash

9 historical signal(s) detected for Bitcoin Cash; 6 non-overlapping trade(s) taken at a 7-day hold (3 skipped because a position was already open).

Completed trades6
Win rate33.3%
Average return / trade-2.82%
Compounded total return-16.54%
Max drawdown-16.97%
Buy & hold, same period-31.19%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-10-12 2025-10-19 $499.5693 $468.5359 -6.21% 93.79
2025-11-05 2025-11-12 $480.8460 $505.3135 +5.09% 98.56
2026-02-02 2026-02-09 $517.2449 $527.5180 +1.99% 100.52
2026-02-24 2026-03-03 $498.4684 $448.2235 -10.08% 90.39
2026-03-16 2026-03-23 $473.2722 $470.6387 -0.56% 89.88
2026-05-20 2026-05-27 $370.2146 $343.7626 -7.15% 83.46

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 Bitcoin Cash ยท Read the full methodology