Statistical validation and data-quality software for quantitative research.

In development. Pilot program planned for 2027.

01PROBLEM

The best of many backtests often wins by chance.

best of 70new data
in sampleout of sample

Illustration: 70 random strategies with no real edge.

02PRODUCT

Built to take your data and your strategy in, and give a tested result out.

Market datayour vendor
Data checksgaps, stale, splits
Backtestyour strategy
Validationwalk-forward, purge, embargo
Robustnessparameter shifts
Reportintervals, p-values
Rust corePython bindingsCLI

Planned interfaces.

03DATA CHECKS

Bad prices will be flagged before they reach a backtest.

outlierstalesplitgap

Illustration: simulated daily closes.

04VALIDATION

Test windows will stay unseen, with a purge and an embargo against leakage.

fold 1
fold 2
fold 3
fold 4
fold 5
oldertimenewer
trainpurgetestembargo

Schematic.

05ROBUSTNESS

A real result survives small parameter changes.

Rejectedone lucky setting
Kepta broad plateau

Illustration. Axes: two strategy parameters. Colour: test-period Sharpe ratio.

06SCOPE

Software only.

Does

ValidationData checksAnalyticsRuns on your machine

Does not

Manage moneyInvestment adviceClient fundsTrade for itself or clients

For

Small fundsIndependent researchersUniversity labsFintech data teams