From a testable question to evaluation, review and revision.
State the hypothesis, assumptions and conditions that would contradict it before evaluating results.
Specify the data, comparison baseline and evaluation periods. Keep data used to develop a hypothesis separate from observations used to test it.
Consider sample size, dependence between observations, transaction costs and measurement error alongside aggregate results.
Compare periods, market conditions and alternative assumptions. Record where a finding weakens or no longer holds.
Retain contradictory results and document changes to the hypothesis. A historical result alone does not establish readiness for operational use.