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오픈 소스 주식 도구

  • Multi-Agent Stock Analysis uses AI agents for data fetching, sentiment evaluation, price forecasting, and automated reporting.
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    What is Multi-Agent Stock Analysis?
    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.
    Multi-Agent Stock Analysis Core Features
    • Automated multi-agent orchestration for stock analysis
    • Real-time data collection from financial APIs
    • News sentiment analysis using NLP
    • Machine learning–based price forecasting
    • Automated report generation with visualizations
    • Modular, customizable agent definitions
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