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 TRON

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

Completed trades7
Win rate100.0%
Average return / trade+1.65%
Compounded total return+12.08%
Max drawdown0.00%
Buy & hold, same period+20.94%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-12-03 2025-12-10 $0.2811 $0.2823 +0.43% 100.43
2026-02-07 2026-02-14 $0.2738 $0.2821 +3.04% 103.48
2026-02-26 2026-03-05 $0.2853 $0.2871 +0.65% 104.15
2026-03-05 2026-03-12 $0.2871 $0.2913 +1.47% 105.68
2026-04-14 2026-04-21 $0.3205 $0.3290 +2.66% 108.50
2026-08-20 2026-08-27 $0.3343 $0.3361 +0.52% 109.06
2026-09-04 2026-09-11 $0.3308 $0.3399 +2.77% 112.08

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 TRON ยท Read the full methodology