Historical rule simulator

Backtest: After a 5% One-Day Rise

Simulates one mechanical rule โ€” buy after a 5% one-day rise, 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; 7 non-overlapping trade(s) taken at a 7-day hold (0 skipped because a position was already open).

Completed trades7
Win rate57.1%
Average return / trade+1.86%
Compounded total return+12.28%
Max drawdown-5.80%
Buy & hold, same period-16.17%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-12-03 2025-12-10 $91320.0794 $92686.1040 +1.50% 101.50
2026-02-07 2026-02-14 $70272.5222 $68837.5811 -2.04% 99.42
2026-02-26 2026-03-05 $67850.1052 $72752.3016 +7.23% 106.61
2026-03-05 2026-03-12 $72752.3016 $70028.9599 -3.74% 102.62
2026-04-14 2026-04-21 $74481.6414 $75858.0355 +1.85% 104.51
2026-08-20 2026-08-27 $69291.0104 $79018.0341 +14.04% 119.18
2026-09-04 2026-09-11 $81264.7015 $76554.9866 -5.80% 112.28

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