Hedge funds
Research infrastructure that assumes an allocator will ask how you know. The evidence is the output.
Out-of-sample by time, significance, and honest degradation — not a curve that goes up.
Enterprise workspaces can inherit the accumulated knowledge instead of training from nothing.
Workspaces, roles, and dedicated data isolation where you need it contractually.
The honest, out-of-sample test rejects most strategies — and it will reject the ones that don't hold up. That's the feature.
138 million one-minute bars behind the fills. When a bar held both the stop and the target, the order was measured, not assumed — and where the data was missing it booked the loss. That is a question you get asked in a diligence meeting.
Every strategy carries the number of forward trades its edge needs before significance, computed from the size of that edge. "Promising" has a finish line rather than an opinion attached.
Every strategy here is tested against real market conditions and graded out-of-sample, so the only number that matters is the one your strategy earns — not a marketing figure we picked. How the proof engine grades.
We'll go as deep as an NDA allows.