Historical rule simulator

Backtest: After a New 30-Day High

Simulates one mechanical rule โ€” buy after a new 30-day high, 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

9 historical signal(s) detected for Bitcoin; 9 non-overlapping trade(s) taken at a 7-day hold (0 skipped because a position was already open).

Completed trades9
Win rate33.3%
Average return / trade-0.79%
Compounded total return-8.59%
Max drawdown-16.16%
Buy & hold, same period-18.45%

Hypothetical growth of $100

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2026-01-06 2026-01-13 $93879.9480 $91200.6276 -2.85% 97.15
2026-01-14 2026-01-21 $95429.1573 $88416.8869 -7.35% 90.01
2026-03-16 2026-03-23 $72934.2941 $67933.4295 -6.86% 83.84
2026-04-16 2026-04-23 $74826.3131 $78238.8168 +4.56% 87.66
2026-04-23 2026-04-30 $78238.8168 $75784.9574 -3.14% 84.91
2026-05-03 2026-05-10 $78677.4246 $80677.6498 +2.54% 87.07
2026-07-21 2026-07-28 $65184.9214 $63701.3529 -2.28% 85.09
2026-08-20 2026-08-27 $69291.0104 $79018.0341 +14.04% 97.03
2026-09-04 2026-09-11 $81264.7015 $76554.9866 -5.80% 91.41

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