# ZhuLinsen/daily\_stock\_analysis

ZhuLinsen/daily\_stock\_analysis: LLM\-Powered Multi\-Market Stock Analysis System

- HackerByte page: <https://hackerbyte.net/en/projects/zhulinsen-daily-stock-analysis-llm-powered-multi-market-stock-analysis-system-1131513930>
- GitHub: <https://github.com/ZhuLinsen/daily_stock_analysis>
- Programming language: Python

LLM 驱动的多市场股票智能分析系统：多源行情、实时新闻、决策看板与自动推送，支持零成本定时运行。 LLM\-powered multi\-market stock analysis system with multi\-source market data, real\-time news, decision dashboard, automated notifications, and cost\-free scheduled runs.

## AI-generated summary

This project provides an LLM\-powered system for analyzing stocks across multiple markets including A\-shares, Hong Kong, US, Japan, Korea, and Taiwan. It aggregates market data, real\-time news, and generates decision reports with insights on core conclusions, ratings, trends, buy/sell points, and risk alerts. The system supports automated notifications via various platforms and can be run cost\-free on a schedule.

## Key points

- Analyzes stocks across multiple global markets \(A\-shares, HK, US, JP, KR, TW\).
- Generates detailed AI decision reports including core conclusions, ratings, and risk alerts.
- Aggregates data from various sources: market data, real\-time news, and social sentiment.
- Supports automated push notifications to platforms like WeChat, Telegram, Discord, and email.
- Offers a web/desktop workbench for manual analysis, task monitoring, and configuration management.