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 Chainlink

7 historical signal(s) detected for Chainlink; 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+1.73%
Compounded total return+11.31%
Max drawdown-9.66%
Buy & hold, same period-15.01%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2025-12-03 2025-12-10 $13.4923 $14.4164 +6.85% 106.85
2026-02-07 2026-02-14 $9.1344 $9.7250 +6.47% 113.76
2026-02-26 2026-03-05 $9.7334 $9.8743 +1.45% 115.41
2026-03-05 2026-03-12 $9.8743 $9.0064 -8.79% 105.26
2026-04-14 2026-04-21 $9.3770 $9.2877 -0.95% 104.26
2026-08-20 2026-08-27 $10.5474 $11.6202 +10.17% 114.86
2026-09-04 2026-09-11 $11.8327 $11.4667 -3.09% 111.31

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 Chainlink ยท Read the full methodology