This pipeline uses LLM agents to collect financial market data, train DNN models, and make predictions of market trends. It integrates various open-source frameworks and tools to create a modular and scalable architecture and provides a dashboard for visualization of market trends in a user-friendly way.

• Multi agent-based architecture: Integrated specialized agents for different tasks
• Flexible DNN architecture: Modular DNN models with technical indicators
• Data management: Optimized time-series database schema for financial data
• Dashboard & visualization: Real-time charts and performance metrics for market trends
• Framework integration: LangChain, CrewAI, AutoGen with open-source LLMs

1. Clone the repository
2. Set up your environment variables in .env
3. Start with Docker: docker-compose up -d
4. Access the dashboard: http://localhost:8501

• Python 3.11+
• Docker & Docker Compose
• API Keys:
  • Alpha Vantage (free): https://www.alphavantage.co/support/#api-key
  • Optional: OpenAI API key for enhanced LLM capabilities

See the implementation guide for detailed setup and usage instructions.