Analytics tools are most valuable when they make market behavior measurable. Instead of relying on a visual impression, calculate frequency, magnitude, dispersion and sample size so a pattern can be compared across stocks and time periods.
Average and median returns summarize historical outcomes from different angles.
Win rate shows how often a setup or recurring window produced a positive result.
Year-by-year outcomes reveal whether a pattern is stable or dominated by outliers.
More observations generally provide a better basis for judging consistency.
Full-year paths and broader market behavior help prevent isolated-window tunnel vision.
Compare multiple lookbacks to see whether the conclusion survives different samples.
Test exact recurring date windows and inspect the underlying yearly observations.