Arkraft turns a research hypothesis into a validated, reviewable alpha signal.
Get startedWhere do you begin?
A hypothesis. A paper. Your own data.
Arkraft turns each into a validated, reviewable result.
Why Arkraft
Most AI tools stop at answers. Arkraft is built for what comes next — from idea to validated signal, every decision traceable.
Every result includes a full trace — data used, alternatives tested, thresholds applied. Built for teams that present results, not just produce them.
Proprietary signals, alternative data, internal factor libraries — all in the same reviewable workflow. What makes your team different stays in the process.
Every result comes with a decision trace — what data was used, what passed, what was rejected, and why. Because you'll need to explain it.
Strong results matter. Reviewable reasoning matters more.
Data source
US large-cap price data · 2,847 securities
Sharpe ≥ 0.80
0.84 — threshold passed
MDD < 35%
-29% — within limit · Turnover 220%/yr
6M-1M lookback
Sharpe 0.52 — below threshold
Equal-weight variant
Turnover 340%/yr — too costly
OOS validation
2022–2024 holdout · queued