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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