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

  1. DISCOVER
  2. OPTIMIZE
  3. VALIDATE
  4. RUN
  5. OBSERVE
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.

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.

01

Inspect the parameter neighbourhood

02

Run WFO across periods

03

Apply DSR/PBO to every trial

OUTPUT

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.