Elias AgentElias Agent.
Javier LeeJavier LeedeployedEmail Outreach Agent★★★★★
Maya HensilvaMaya HensilvadeployedCustomer Support Bot★★★★
Cristie DarekCristie DarekdeployedLead Scoring Agent★★★★★
Julia KlebersonJulia KlebersondeployedContent Creation AI★★★★
Kai PavlovicKai PavlovicdeployedSEO Automation Agent★★★★★
Nadia KowalskiNadia KowalskideployedData Extraction Bot★★★★
Ernesto WightsErnesto WightsdeployedSlack Notification Agent★★★★★
Chloe ParkChloe ParkdeployedInvoice Processing AI★★★★
Javier LeeJavier LeedeployedEmail Outreach Agent★★★★★
Maya HensilvaMaya HensilvadeployedCustomer Support Bot★★★★
Cristie DarekCristie DarekdeployedLead Scoring Agent★★★★★
Julia KlebersonJulia KlebersondeployedContent Creation AI★★★★
Kai PavlovicKai PavlovicdeployedSEO Automation Agent★★★★★
Nadia KowalskiNadia KowalskideployedData Extraction Bot★★★★
Ernesto WightsErnesto WightsdeployedSlack Notification Agent★★★★★
Chloe ParkChloe ParkdeployedInvoice Processing AI★★★★
✦ AI Agent

AI TRADING AGENT

Multi-Agent Equity Research, Valuation Scoring, and Automated Financial PDF Reports

AI TRADING AGENT

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. Advanced Document Rendering: Integrating ReportLab, the framework automatically compiles full markdown analytical summaries into highly professional PDFs equipped with score gauges, thesis breakdowns, and dynamic risk tables. Commercial Potential & Use Cases Whether serving day traders tracking technical resistance levels, options traders preparing for earnings volatility, or portfolio managers running cross-asset correlation models, this tool fits any strategy. For AI consulting agencies and fintech builders, it serves as an instantly deployable, white-labelable engine to sell premium, data-backed stock market intelligence and automated research packages with zero overhead.