Historical rule simulator

Backtest: After a 20% 30-Day Correction

Simulates one mechanical rule โ€” buy after a 20% 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

7 historical signal(s) detected for Bitcoin; 6 non-overlapping trade(s) taken at a 7-day hold (1 skipped because a position was already open).

Completed trades6
Win rate33.3%
Average return / trade-0.01%
Compounded total return-0.68%
Max drawdown-10.29%
Buy & hold, same period-30.77%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-11-21 2025-11-28 $86618.4716 $91323.6283 +5.43% 105.43
2025-12-02 2025-12-09 $86303.8977 $90626.0373 +5.01% 110.71
2026-02-05 2026-02-12 $73059.1799 $67090.5793 -8.17% 101.67
2026-06-05 2026-06-12 $63810.6592 $63555.6618 -0.40% 101.26
2026-06-14 2026-06-21 $64408.8098 $64253.3987 -0.24% 101.02
2026-06-25 2026-07-02 $60989.5735 $59967.6850 -1.68% 99.32

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 ยท Read the full methodology