ZhuLinsen/daily_stock_analysis
📦 Open Source ProjectZhuLinsen
An LLM-powered intelligent stock analysis system featuring real-time market data, automated news processing, and decision dashboards.
This project serves as a sophisticated automation framework for stock market analysis, leveraging Large Language Models to synthesize complex financial data. At its core, the system aggregates data from multiple market sources and real-time news APIs, processing this information through LLM pipelines to generate concise summaries and investment signals. Key features include a modular architecture for data ingestion, a centralized decision dashboard for visualization, and automated push notifications to keep users updated on market movements. The system is built with Python and is designed to be highly scalable, supporting zero-cost scheduled execution via cloud functions or local cron jobs. By automating the tedious process of manual market research, it enables traders and analysts to focus on high-level decision-making based on AI-processed insights.
💡Highlights
- ├─LLM-driven market insights
- ├─Multi-source data aggregation
- └─Automated push notifications
🎯For
- ├─Quantitative Traders
- ├─Financial Analysts
- └─AI Developers