Hypothesis space
Signals, regimes, timeframes, filters, exits and risk parameters define the research boundary.
DISCOVER / INTELLIGENCE
Explore the strategy space instead of tuning blindly.
kquant Engine connects automated search, optimization, models and analytics to turn a vast hypothesis space into a ranked set of readable candidates.
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
Candidate ranking
The system compares quality, risk, costs, sample size and neighbourhood stability — not return alone.
Search history
Every trial remains in the record and raises the burden of subsequent proof.
Move to evidence
A strong candidate receives a frozen version, not a production-ready status, before independent validation.
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.
Bound the search space
Compare several objectives
Freeze before opening holdout
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.