Sequence
Each window uses only information available at that point in time.
Walk-forward carries fixed logic across sequential windows, while WFO repeats selection inside each training window and evaluates the full process.
Challenge the candidate before risk
Each window uses only information available at that point in time.
Evaluates a fixed version across changing periods.
Repeats optimization inside each training window and evaluates the following segment.
The system exposes decay in quality, trade frequency and parameters instead of averaging it away.
Treat holdout, time stability, multiple-testing correction and stress paths as separate evidence. Agreement matters more than one green metric.
Protect unseen data
Record every trial
Accept FAIL and insufficient data
Validation verdict
Historical, statistical and model results do not promise future returns. kquant provides computational tools and technical execution, but does not assess whether a specific trade is suitable for a user.