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 XRP

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

Completed trades7
Win rate28.6%
Average return / trade+2.19%
Compounded total return+11.96%
Max drawdown-8.65%
Buy & hold, same period-38.08%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-12-03 2025-12-10 $2.1544 $2.1076 -2.17% 97.83
2026-02-07 2026-02-14 $1.4617 $1.4173 -3.04% 94.86
2026-02-26 2026-03-05 $1.4380 $1.4358 -0.15% 94.71
2026-03-05 2026-03-12 $1.4358 $1.3847 -3.55% 91.35
2026-04-14 2026-04-21 $1.3757 $1.4252 +3.60% 94.63
2026-08-20 2026-08-27 $1.1051 $1.4225 +28.71% 121.81
2026-09-04 2026-09-11 $1.4513 $1.3340 -8.08% 111.96

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 XRP ยท Read the full methodology