About the Project

Inspiration
The project was inspired by the need for data-driven investment decisions. Traditional financial analysis often lacks real-time insights, and sentiment analysis alone can be misleading. By combining both, we aimed to create a comprehensive risk assessment tool that helps investors make informed decisions with AI-powered insights.

What We Learned
Throughout this journey, we explored:

  • Financial Data Analysis – Understanding key metrics like EBITDA, ROE, and profit growth.
  • Sentiment Analysis – Using LLMs to classify news as positive, neutral, or negative.
  • AI Agents & Automation – Leveraging LangChain & Fetch.AI to automate data collection and risk assessment.
    -Correlation & Risk Assessment– How financial reports and sentiment impact investment decisions.

How We Built It

  • LangChain Agent: Gathers structured financial data from trusted sources.
  • Fetch AI’s Marketplace Agent: Retrieves real-time news sentiment.
  • Risk Analysis & Correlation Agent: Merges insights to assess risks.
  • Visualization & Reports: Presents findings in an investor-friendly format.

Challenges Faced

  • Data Quality & Consistency– Ensuring reliable and up-to-date financial data.
  • Sentiment Accuracy– Refining models to reduce false classifications.
  • Integration of Agents – Synchronizing multiple AI-powered agents for seamless data processing.

This project showcases how AI can revolutionize investment strategies, making them more data-driven, automated, and insightful.

Built With

  • fastapi
  • fetchai
  • langchain
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