AI TRADING HERMES AGENT

Overview Retail and institutional investors alike lose hours of productivity aggregating market information across fragmented technical, fundamental, and sentiment channels. AI Trading Analyst resolves this friction by introducing a powerful, multi-dimensional research workstation built directly into Hermes Agent skills. Operating as a pure open-source intelligence engine rather than an execution bot, it connects with zero api keys, subscription feeds, or external brokerage attachments—delivering comprehensive, institutional-grade equity research briefs via simple command-line prompts. Key Features & Technical Architecture The codebase relies on a modular infrastructure comprising a central orchestrator skill, 15 specialized command sub-skills, and 5 parallel AI agents. Parallel Core Analysis Topology: Triggered via the trade analyze <ticker> command, the orchestrator deploys 5 isolated research agents simultaneously—Technical Strength, Fundamental Quality, Sentiment & Momentum, Risk Profile, and Thesis Conviction—to pull data from public web streams and compute a weighted composite Trade Score (0–100) alongside explicit entry, target, and stop-loss levels. Granular Strategic Modules: The workspace includes targeted sub-skills engineered for distinct market instruments and macro contexts, including pre-earnings risk position maps, options delta/hedging strategy setups (covered calls, protective puts), sector rotation flows, portfolio correlation matrix metrics, and multi-asset head-to-head comparison matrices. ReportLab Document Architecture: A clean Python rendering utility automatically reads the markdown data schemas generated by the parallel sub-agents, packaging them into elegant, 6-page PDF investment briefs equipped with color-coded score gauges, target indicators, and risk-reward ratios.