Show HN: My first project, an AI-powered financial news analyzer (github.com)

NotBot, a new experimental Python project, leverages Large Language Models (LLMs) to analyze financial news and generate sentiment scores for publicly traded companies. By collecting recent news from sources such as Google News and Finnhub, NotBot employs sophisticated techniques like news deduplication and weighted sentiment scoring—taking into account article content, source reliability, and recency—to synthesize a comprehensive sentiment indicator. It utilizes cutting-edge AI models, including Google Gemini and Groq, and incorporates asynchronous processing capabilities for efficient article retrieval. This project is significant for the AI/ML community as it explores the intersection of AI technology and financial markets, demonstrating how LLMs can provide insights into market sentiment. However, NotBot serves as an experimental tool, with its results yet to be validated against actual market performance and accompanied by advisory disclaimers about biases and limitations in news coverage. As the project develops, it could pave the way for more advanced applications in financial analytics, enabling users to harness AI for better-informed investment decisions.