Institutional-grade market research usually demands steep financial data subscriptions, complex terminal interfaces, and hours of manual charting. AI Trading Analyst bridges this gap by transforming Claude Code into an automated equity intelligence workstation. Completely free, non-custodial, and requiring no external API keys or brokerage connections, this specialized tool evaluates any stock ticker in under five minutes, generating a definitive market signal and a publication-quality 6-page PDF research report.

Key Features & Technical Architecture

The project runs on a modular ecosystem composed of a master orchestrator, 16 advanced sub-skills, and 5 parallel AI agents working in tandem.

Parallel Multi-Agent Engine: When a user executes /trade analyze, the orchestrator concurrently deploys 5 specialized sub-agents—Technical, Fundamental, Sentiment, Risk, and Thesis. The framework seamlessly processes macro-level data like sector rotations, pre-earnings positioning, options strategies, and insider activity.

Scoring & Capital Allocation Guidance: The agent inputs are synthesized into a weighted composite Trade Score (0–100) with matching letter grades (A+ to F). Rather than vague summaries, the system outputs hyper-practical tactical data, including explicit entry/target/stop-loss price levels, risk/reward ratios, and portfolio position sizing percentages.