INTELLIGENCE / MEASURE

Measure the hypothesis with every assumption priced in.

kquant backtesting connects the curve to every trade, fee, slippage, funding event, next-bar order and version configuration.

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

Trading costs

Include fees, expected slippage and funding in the trade model.

02

Next-bar execution

A close-bar signal is not filled at an already known close price.

03

Every trade

Inspect entries, exits, closing reasons and modelled costs.

04

Comparable runs

Save and compare configurations using risk and robustness metrics.

DECISION FRAMEWORK

Did the candidate improve evidence or only the training score?

Read the candidate against its anchor, neighbouring parameters, sample size, costs and complete trial history.

01

Bound the search space

02

Compare several objectives

03

Freeze before opening holdout

OUTPUT

Candidate record

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.