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Navveen Balani Making systems intelligent, efficient & responsible

🚀 What if your stock portfolio could analyze itself?

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🚀 What if your stock portfolio could analyze itself?

I’ve published an experimental project that automates investment portfolio analysis by connecting three powerful technologies: Zerodha KITE MCP, CrewAI, and Large Language Models.

The open-source repository (https://lnkd.in/d_BtqyCy) demonstrates how to build an autonomous system for financial insights.

How It Works:
🤖 Autonomous Agents (CrewAI): A team of AI agents manages the entire workflow, from secure login and data fetching to the final analysis.
🛠️ Seamless Integration (Zerodha MCP): The agents use Zerodha’s Model Control Protocol directly to interact with trading and account functions—no complex API integration needed.
🧠 AI-Powered Analysis (LLMs): Once your holdings are retrieved, a language model performs a deep-dive analysis, highlighting concentration risks, surfacing top/bottom performers, and offering actionable suggestions.

This isn’t just about retrieving data; it’s about creating an “intelligent agent” that provides automated, bespoke portfolio advice. The template is simple to clone and extend for much deeper quantitative and qualitative analysis.

This is a powerful use case for agentic AI in finance, and I’m just scratching the surface.

đź”— Check out the repository and see it in action: https://lnkd.in/d_BtqyCy

I’d love to hear your thoughts. What other financial tasks could be automated with an agentic workflow like this?

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