01
The challenge
Automated trading systems can become opaque very quickly. The core design problem was to keep strategy output, account state and runtime controls understandable without sacrificing the depth needed for serious research.
01 / AI-assisted product system
Trading AI Bot
A paper-trading research and execution system designed to make risk, activity and machine decisions easy to inspect.
02
What I built
I brought research, planning, paper execution and deterministic risk gates into one operational surface. The interface gives important decisions a clear hierarchy, shows why the system is in its current state and keeps manual control close at hand.
03
What it delivers
The result is a safer research environment: actions remain reviewable, system health stays visible and the paper-only boundary is reinforced throughout the experience.
Key features
The work at a glance.
- Paper-safe execution with explicit runtime controls
- Portfolio, risk and activity views in one calm workspace
- AI-assisted research supported by deterministic guardrails