Agentic AI ex-US equity evaluator (LangGraph+Gemini)
This repository is a multi-agent international equity research system. It can analyze single tickers, run broader screening pipelines, and optionally reconcile saved results against an Interactive Brokers portfolio through either a CLI workflow or a local Flask dashboard.
You need Python 3.12+, Poetry, and at least one working LLM API key. A Gemini key is the minimum practical setup; optional data-provider keys improve coverage and reliability.
This is not a single prompt wrapped in a CLI. The runtime fans out work across specialist agents, applies deterministic validation before debate, then routes the surviving analysis into valuation, risk, and portfolio decision stages.
graph TB
Start(["User: Analyze TICKER"]) --> Dispatcher{"Parallel<br/>Dispatch"}
Dispatcher --> MarketAnalyst["Market Analyst<br/>(Technical)"]
Dispatcher --> SentimentAnalyst["Sentiment Analyst<br/>(Social)"]
Dispatcher --> NewsAnalyst["News Analyst<br/>(Events)"]
Dispatcher --> JuniorFund["Junior Fundamentals<br/>(API Data)"]
Dispatcher --> ForeignLang["Foreign Language<br/>(Native Sources)"]
Dispatcher --> LegalCounsel["Legal Counsel<br/>(Tax & Reg)"]
Dispatcher --> ValueTrap["Value Trap Detector<br/>(Governance)"]
Dispatcher -.-> Audi
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