Stop reentry: 2 Backtests
We backtested 2 stop reentry strategies across crypto, US stocks. 0 beat the benchmark before correction; best −5.7 pts/yr.
Every result below is the strategy's annualized return minus an equal-weight benchmark, rebalanced daily, on the same assets and days. Strategies are charged real trading costs; the benchmark pays none. Data stops at the discovery cutoff. See the full family index, the full method and every result, or download the raw registry (JSON).
0 of 2 strategies finished ahead of the benchmark on the raw number, and 0 had an unadjusted p-value under 0.05. After one correction across all 688 tests in the registry, 0 passed, so no result here is a confirmed edge. Scored 2026-10-03, using data up to 2025-03-15. Method: see the evidence page.
How to read these results
"Ahead" means a higher return than the benchmark in this historical test, and "behind" means a lower one. Neither is a confirmed edge. A strategy is only counted as working if it survives a correction for how many strategies were tried, because testing hundreds of ideas will throw up some lucky winners by chance. Stop reentry is grouped by the signal it trades on, not by the asset it was tested on, and every strategy here saw only data up to the same cutoff date, so none could see data another could not.
Results
- Does a short cooldown justify retrying a stopped stock trade? (US stocks): behind the benchmark by 5.7 percentage points a year. Not statistically significant. Source: retail trading content: stop loss cooldown unconditional one retry trading policy.
- Does reclaiming the original entry justify buying crypto back? (crypto): behind the benchmark by 33.7 percentage points a year. Not statistically significant. Source: retail trading content: stopped out buy back original entry reclaim.