Signal discipline
The public language frames AI support as an input to disciplined review rather than a promise of automated returns.
Approach
High-level placeholder framing for an AI-supported trading process with human oversight and risk awareness.
The public language frames AI support as an input to disciplined review rather than a promise of automated returns.
Placeholder copy emphasizes monitoring, review, and limits without presenting live strategy rules or proprietary implementation details.
Later sprints can connect authenticated investors to private read-only return history after the data model and access controls exist.