Historical rule simulator

Backtest: When Bitcoin Rises 5% in a Day

Simulates one mechanical rule โ€” buy when bitcoin rises 5% in a day, 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 LEO Token

7 historical signal(s) detected for LEO Token; 7 non-overlapping trade(s) taken at a 7-day hold (0 skipped because a position was already open).

Completed trades7
Win rate71.4%
Average return / trade+1.69%
Compounded total return+12.20%
Max drawdown-2.56%
Buy & hold, same period-3.18%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-12-03 2025-12-10 $9.4843 $9.6297 +1.53% 101.53
2026-02-07 2026-02-14 $7.9056 $8.3992 +6.24% 107.87
2026-02-26 2026-03-05 $8.7219 $9.0294 +3.53% 111.68
2026-03-05 2026-03-12 $9.0294 $9.1095 +0.89% 112.67
2026-04-14 2026-04-21 $10.0024 $10.2222 +2.20% 115.14
2026-08-20 2026-08-27 $9.3024 $9.2331 -0.74% 114.28
2026-09-04 2026-09-11 $9.3534 $9.1824 -1.83% 112.20

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 LEO Token ยท Read the full methodology