Options Analytics Agent Langgraph
This is a production-ready LangGraph agent that connects to Polygon.io for live options data and uses ChromaDB for RAG-based caching and semantic search. The setup is solid: it handles Greeks analysis, batch ticker searches, persistent memory across sessions via SQLite, and exports to CSV or charts. You get a FastAPI microservice wrapper if you want to deploy it as an API. The tool design is thoughtful with automatic caching to avoid hammering the Polygon API, and the RAG layer lets you query historical data semantically rather than just raw SQL. It's built for someone who wants to prototype an options trading assistant without reinventing the data pipeline and agent orchestration from scratch.
- skills.sh installs
- 1.5K
- GitHub stars
- 2
- last updated
- Jul 14, 2026
Install
$ npx -y skills add aradotso/data-skills --skill options-analytics-agent-langgraph --agent claude-codeInstalls into .claude/skills of the current project.
Files
Options Analytics Agent with LangGraph
Skill by ara.so — Data Skills collection.
A sophisticated LangGraph-based agent that automates financial options analysis with real-time data from Polygon.io, smart caching via ChromaDB, persistent memory, and professional-grade analysis. Built for creating intelligent trading assistants with RAG capabilities and microservice architecture.
What It Does
This project provides a complete AI agent system for:
- Real-time options data retrieval from Polygon.io with intelligent caching
- RAG-powered knowledge base using ChromaDB for semantic search
- Persistent conversation memory across sessions via SQLite
- Professional options analysis with Greeks, sentiment, and anomaly detection
- Multi-format exports (CSV, charts, reports)
- LangGraph orchestration for multi-agent workflows
- FastAPI microservice deployment
Installation
Prerequisites
# Python 3.10+
python --version
# Create virtual environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
Install Dependencies
pip install -r requirements.txt
Sponsors
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- Repository
- github.com/aradotso/data-skills
- Categories
- AI & Agent Building, Data Science & ML, Marketing & SEO
- First seen
- Jul 14, 2026
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