● PUBLIC PAPER/PROPRIETARY EVALUATION · COMPANY-OPERATED
Z2H public dashboard — paper/proprietary evaluation · paused for re-training
Z2H’s own AI reads the same analyst briefs you would get and runs them in a company-operated paper/proprietary evaluation environment. Currently paused — we are re-training the 5-agent analysis layer and would rather sit out than evaluate with a stale model. The public dashboard shows how Z2H’s own company-developed AI performs in a paper/proprietary evaluation environment. It is provided for transparency only. It is not investment advice, not a signal service, and not an instruction to copy trades.
What's coming next.
The visible track widens as each model passes validation. Click each stage to peek at the plan — none of the below is live yet.
// STAGE 2 · LAUNCH PENDING
After alpha — paid plans (planned, not fixed)
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Basic plan planned around $20/month for 1 symbol · additional symbols as paid add-ons · final pricing may change
- Coverage: USDJPY first, then additional FX pairs — metals, crypto, energy later, in sequence as each is evaluated
- Pricing: planned around $20/month for Basic (1 symbol / 1 AI Desk); additional symbols as paid add-ons; final pricing may change after alpha feedback
- Alpha grandfather: the 100 alpha members will receive a 50% lifetime discount on whatever final paid pricing emerges
- Currency: USD-only pricing planned
No paywall yet. No Stripe yet. Joining the waitlist is the way to be first in line.
// LONG-TERM · INSTITUTIONAL
Institutional product — on-premise AI trader terminal
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For asset managers, securities firms, hedge funds, family offices · data sovereignty, local/private AI deployment
- Audience: asset managers, securities firms, hedge funds, family offices that require data sovereignty and local/private AI deployment
- Value: data sovereignty, local/private AI deployment, no external cloud, auditability, risk-layer separation
- Form factor: on-premise AI trader terminal — deployed inside the institution
- Honest boundary: "Less honest with bigger numbers, more honest with smaller numbers — we stay the latter."
This is the long-term destination, not a roadmap promise. Conditional on prior stages proving out.