Internal Product / AI Systems

AI Trading Intelligence System

A private AI-powered market intelligence and decision-support system designed to organize multi-source evidence, asset context, and structured review workflows.

Role: Product strategist, AI workflow designer, and system planner
Context: Internal product / private AI system
Year: 2026

Problem

Market research can become fragmented across charts, news, technical context, social signals, and manual notes. The system was designed to make review workflows more structured without presenting financial advice or performance claims.

Approach

Designed an analysis-first workflow for market evidence review.
Structured evidence categories for asset context, news inputs, technical events, and review notes.
Planned dashboard surfaces for selected assets and final review summaries.
Used AI-assisted development workflows to accelerate product iteration and documentation.

Deliverables

Product architecture notesDashboard workflowEvidence system structureSelected interface screenshot placeholders

Business value

Demonstrates ability to design complex AI-supported decision systems.
Shows product thinking, evidence architecture, and workflow design capability.
Supports the studio positioning around AI systems and business intelligence workflows.

Evidence

Dashboard screenshot placeholder

TODO: Replace with selected product interface screenshots after private information is removed.

Evidence board placeholder

TODO: Add a safe evidence-board screenshot or diagram without account data, credentials, or private trading logic.