28 Strategies Tested.
3 Survived.

It depends on the service. A strategy audit takes 2-4 weeks: you submit your strategy, we run the full validation pipeline, and deliver a detailed report. Custom strategy development takes 6-10 weeks: from hypothesis through validation to deployment-ready code. Retainer engagements are scoped monthly based on your R&D needs. Every engagement starts with a discovery call to define scope and deliverables.

Yes. Our Strategy Audit service exists specifically for this. We take your existing strategy -- regardless of the language or framework it was built in -- and run it through the full 11-gate pipeline. You get a detailed validation report covering statistical significance, walk-forward performance, regime analysis, and out-of-sample results. If it passes, you deploy with confidence. If it fails, you know exactly where and why before risking capital.

For custom development: deployment-ready source code, full validation report (MCPT results, walk-forward analysis, regime coverage, out-of-sample holdout), monitoring guidelines, and documentation. Everything is yours. For audits: the validation report with pass/fail assessment at each gate and recommendations. No black boxes. No lock-in.

Primarily crypto futures markets. Our team has 6+ years of deep experience in crypto market microstructure -- exchange mechanics, funding rates, liquidation dynamics, and the specific challenges of 24/7 markets. The statistical validation methodology is transferable to other asset classes, but crypto is where our expertise runs deepest.

Strategy audits and custom development are fixed-price projects scoped during the discovery call. Retainer engagements are monthly with defined capacity. We do not bill hourly. Specific pricing depends on scope and complexity -- we provide a detailed proposal after the discovery call.

Standard backtesting runs a strategy on historical data and shows an equity curve. That tells you nothing about whether the edge is real or the result of overfitting. We go further: Monte Carlo permutation testing proves the strategy beats random chance. Walk-forward validation proves it works across different time periods. Out-of-sample holdout proves it works on data it has never seen. Most algo developers skip all three. We require all three to pass.

Yes. We applied the same 11-gate pipeline to 28 strategies we developed internally. 25 failed. 3 survived and are deployed. We use our own methodology on our own capital. That is the strongest proof we can offer that the pipeline works.

Python-based development with institutional-grade backtesting and validation frameworks. We deliver clean, documented, production-ready code -- not research notebooks. Specific tooling depends on the client's deployment environment and is discussed during scoping.

Strategy audits: 2-4 weeks. Custom development: 6-10 weeks from hypothesis to validated, deployment-ready code. These timelines reflect the depth of validation involved. Cutting corners on validation to save time defeats the purpose. We will not ship a strategy that has not passed the full pipeline.

That is a good outcome. It means you found out your strategy was overfit or luck-dependent before you deployed capital on it. The validation report explains exactly which gates failed and why. In some cases, the hypothesis is sound but the implementation needs adjustment -- we can advise on next steps. In other cases, the strategy should be archived. Either way, the truth saves you money.