Narrow search space
Optimize one hypothesis layer at a time.
INTELLIGENCE / OPTIMIZE
Find a stable region, not the best historical parameter.
The optimizer explores parameter surfaces, compares multiple objectives and preserves the selected candidate's neighbourhood beside the cost of search.
HYPOTHESIS SPACE1,248 trials
01Trend Momentum0.9302Funding Regime0.8903Volatility Breakout0.68
explorerankfreeze
SYSTEM DOMAIN02 / DISCOVER
Search, rank and freeze a candidate
- DISCOVER
- OPTIMIZE
- VALIDATE
- RUN
- OBSERVE
A result is a record, not a green badge.
The page follows the same order as the application: declare the question, inspect the run, then state what the data cannot prove.
- 01
Narrow search space
Optimize one hypothesis layer at a time.
- 02
Anchor and plateau
Prefer stable parameter regions over an isolated peak.
- 03
Holdout
Keep final evaluation separate from selection.
- 04
Trial cost
Record every attempt and reflect it through DSR and PBO.
Anchor and plateau
Prefer stable parameter regions over an isolated peak.
Holdout
Keep final evaluation separate from selection.
Trial cost
Record every attempt and reflect it through DSR and PBO.
DECISION FRAMEWORK
Is this a resilient value or just the tallest historical peak?
Plateau analysis checks neighbouring values. WFO tests repeated optimisation across time. DSR adjusts Sharpe for all trials. These tests complement rather than replace one another.
Inspect the parameter neighbourhood
Run WFO across periods
Apply DSR/PBO to every trial
Selected parameter region
Important
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.