Multi-Agent Stock Analysis is an open-source framework that deploys multiple specialized AI agents—DataCollector, SentimentAnalyst, Predictor, and Reporter—to streamline end-to-end stock research. The DataCollector agent fetches real-time prices and financial news. The SentimentAnalyst processes news articles to gauge market sentiment. The Predictor leverages machine learning models to forecast future stock movements. Finally, the Reporter crafts detailed summaries and visualizations. Its modular architecture supports easy customization for different assets, models, and reporting formats.

QuantTalk streams quantitative investment strategy creation through natural language processing, making it accessible for investors. Users can input their trading ideas in plain English, and the tool will transform them into rigorous quantitative strategies. Moreover, it features automatic backtesting on historical data, illustrating potential performance without manual coding or extensive market knowledge. This approach significantly reduces the entry barrier for more people interested in quantitative investing, shifting complex finance into a user-friendly format.