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 Ethereum

8 historical signal(s) detected for Ethereum; 7 non-overlapping trade(s) taken at a 7-day hold (1 skipped because a position was already open).

Completed trades6
Win rate16.7%
Average return / trade-1.74%
Compounded total return-11.30%
Max drawdown-20.31%
Buy & hold, same period-24.75%

Hypothetical growth of $100

1 accepted trade(s) are still within their 7-day hold and are excluded from the stats and chart above.

Entry dateExit dateEntry priceExit priceTrade returnEquity after
2026-01-14 2026-01-21 $3330.5044 $2941.8833 -11.67% 88.33
2026-03-16 2026-03-23 $2182.0727 $2055.6818 -5.79% 83.22
2026-04-14 2026-04-21 $2374.0162 $2314.6386 -2.50% 81.13
2026-07-07 2026-07-14 $1798.5571 $1774.0909 -1.36% 80.03
2026-07-22 2026-07-29 $1928.6559 $1920.4889 -0.42% 79.69
2026-08-20 2026-08-27 $2251.7346 $2506.3431 +11.31% 88.70

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 Ethereum ยท Read the full methodology