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Signal Audit Studies

How to know whether your trading engine is real edge or overfitted noise. Four deep-research audits applied to our own stack.

Last updated: 2026-08-28

Audit 1: Win% Laundering Detection

Many signal products show off-plan win% next to today's trade, even when the off-plan strategy is different from the recommended one. Real win% must be the same strategy that's being advised.

Audit 2: Small-Sample Win% Wilson Interval

A 90% win rate on n=10 trades has a 95% confidence interval of roughly 55%–99%. Reporting only the point estimate is misleading.

Audit 3: Backtest Look-Ahead Bias

The most common silent bug: today's close is used to compute signals AFTER the test period closes, inflating returns.

Audit 4: Backtest Window Label Honesty

It's tempting to label a 200-day backtest as "recent regime" when the early half is actually stale. Label windows by their actual coverage.

Audit Checklist You Can Run Yourself

  1. Does the table win% match the plan strategy, or some other strategy?
  2. What is the 95% CI of the win%? If n=10, the CI is huge.
  3. Is the signal computed at T-1 close, or at some later timestamp?
  4. Are the backtest windows labeled correctly?
  5. Is a deflated Sharpe or Bonferroni correction applied to the published t-statistic?