Context
MERIDIAN is built around a practical question: how can market data become a strategy that a user can inspect, debate, and replay rather than a black-box signal?
What was built
The product combines CMC market data, deterministic skills, Bull and Bear Court viewpoints, a Constitution for strategy constraints, historical replay, and optional execution. The goal is a system that makes its reasoning surface visible.
Architecture and workflow
The application uses Next.js and TypeScript. Its workflow separates data inputs, deterministic strategy components, opposing analysis, constraints, and replay. This gives each stage a clear role and makes strategy behavior easier to examine over historical scenarios.
Selected technical decisions
- Put explainability and replay beside the strategy workflow, not after it.
- Use deterministic skills for rules that need predictable behavior.
- Keep optional execution distinct from research and decision preparation.
What this demonstrates
This work demonstrates the ability to take a complex domain, turn it into a legible workflow, and connect interface decisions to data, systems, and real execution paths. For a client, that means a build can begin with the actual problem instead of a generic feature checklist.