Discover how to construct a sophisticated cryptocurrency analysis system using LangGraph in this comprehensive tutorial video. Create a network of AI agents capable of analyzing cryptocurrency markets, retrieving historical price data, searching for the latest cryptocurrency news, and generating detailed reports for users. Gain hands-on experience with Google Colab setup, integrating external libraries like OpenBB and DuckDuckGo, and implementing technical indicators such as RSI, Bollinger Bands, and MACD. Learn to design the application's graph state, develop agent nodes, and assemble the complete system. By the end, acquire the skills to build and query an advanced AI-powered financial analysis tool, enhancing your capabilities in AI development and cryptocurrency market analysis.
Advanced AI Agents for Cryptocurrency Market Analysis with LangGraph
Overview
Syllabus
- Crypto AI Agents
- Text tutorial on MLExpert.io
- Architecture Overview
- Google Colab Setup
- External Libraries OpenBB & DuckDuckGo
- Save External Prices and News to Local Database
- Helper Functions to Get Local Data
- Technical Indicators RSI, Bollinger Bands & MACD
- App Graph State
- Agent Nodes
- Build the Graph
- Ask the Graph and Financial Report
- Conclusion
Taught by
Venelin Valkov
