dragon1086/prism-insight
📦 Open Source Projectdragon1086
An AI-powered multi-agent system for automated stock market analysis and intelligent trading strategies.
Prism-Insight represents a significant advancement in the intersection of financial technology and autonomous AI agents. Built using Python, the framework utilizes a multi-agent architecture where specialized agents handle distinct tasks such as data ingestion, sentiment analysis, technical indicator calculation, and strategy execution.
Key technical features include the integration of the Model Context Protocol (MCP), which enables seamless communication between the LLM-based reasoning engine and external financial APIs. This modular design allows users to swap out different LLM backends or data providers without refactoring the core logic. The system is designed to handle complex market data streams, applying advanced prompt engineering to interpret news sentiment and historical price action. By automating the research-to-execution pipeline, Prism-Insight reduces the latency between identifying a market opportunity and executing a trade, providing a robust foundation for algorithmic trading research and development.
💡Highlights
- ├─Multi-agent architecture design
- ├─MCP-compliant data integration
- └─Automated financial analysis
🎯For
- ├─Algorithmic Traders
- ├─Financial Data Scientists
- └─AI Developers