agentic-stock-research-system MCP Server
rooneyrulz/agentic-stock-research-system
[](https://agentrank-ai.com/tool/rooneyrulz--agentic-stock-research-system/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
rooneyrulz/agentic-stock-research-system is a Python tool. A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning. Topics: ai-agents, groq, langchain, langgraph, llms, mcp, openai, python, streamlit.
Ranked #3257 out of 24846 indexed tools.
Ecosystem
Score Breakdown
121 stars → growing community
Last commit 1mo ago → moderate activity
3/3 issues closed → responsive maintainer
1 contributor → solo project
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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[](https://agentrank-ai.com/tool/rooneyrulz--agentic-stock-research-system/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/rooneyrulz--agentic-stock-research-system/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/rooneyrulz--agentic-stock-research-system" alt="AgentRank"></a> Matched Queries
From the README
> 🔗 **Related project:** Check out [stock-research-agent-api](https://github.com/rooneyrulz/stock-research-agent-api) — > a CrewAI-based take on this same idea, with role-specific agents, structured/validated outputs, and a FastAPI service layer. > Both projects are actively maintained; this one continues to evolve independently. # 📈 NSE Stock Research & Analysis System A sophisticated multi-agent AI system for analyzing Indian NSE-listed stocks using real-time data, technical indicators, news sentiment, and advanced AI reasoning. ## 🌟 Features ### 🤖 Multi-Agent Architecture - **Stock Finder Agent**: Identifies promising NSE stocks based on liquidity, market cap, and momentum - **Market Data Agent**: Gathers real-time pricing, volume, and technical indicators - **News Analyst Agent**: Analyzes recent news sentiment and market impact - **Recommendation Agent**: Provides actionable BUY/SELL/HOLD recommendations with target prices ### 📊 Advanced Analytics - Real-time NSE stockRead full README on GitHub →
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