ZhuLinsen / daily_stock_analysis

2026-01-10 · Source: Github Trending: All languages · Field: Finance & Economics — Capital Markets & Investment Management, FinTech & Digital Financial Services · Depth: Intermediate, long

Summary

The Smart Stock Analysis System is an AI large model-based platform designed for analyzing A-shares, Hong Kong stocks, and US stocks. It automatically generates and pushes a "Decision Dashboard" daily to various communication channels like WeChat Work, Feishu, Telegram, Discord, Slack, and Email. Key features include multi-dimensional analysis (technical, real-time quotes, news sentiment, capital flow), support for global markets and ETFs, and built-in market strategies such as moving averages and Elliott Wave. The system also offers a dual-theme web workbench for manual analysis, configuration, backtesting, and position management, alongside an Agent Stock Inquiry feature for multi-round strategy Q&A. It supports various AI models like Gemini, OpenAI compatible, and Claude, and integrates multiple market data and news search sources.

Key takeaway

For financial analysts or individual investors managing diverse stock portfolios, this system offers automated daily analysis and decision support. You can configure it via GitHub Actions for zero-cost deployment, integrating various AI models and notification channels. This allows you to receive timely, AI-generated insights and risk alerts for A-shares, Hong Kong, and US stocks directly to your preferred communication platform, streamlining your morning review and informing your trading decisions.

Key insights

An AI-powered system automates daily stock analysis and delivers actionable insights across multiple global markets.

Principles

• Automate daily financial analysis.
• Integrate diverse data sources.
• Provide multi-channel notifications.

Method

The system uses AI models to process market data, news, and sentiment, applying various trading strategies to generate a "Decision Dashboard" with conclusions, ratings, and risk alerts, delivered daily.

In practice

• Configure AI API keys for model access.
• Set up notification channels for daily reports.
• Define a watchlist for automated analysis.

Topics

• AI Stock Analysis
• Multi-Market Watchlist
• Market Strategy System
• Multi-channel Notifications
• AI Large Models

Code references

• ZhuLinsen/daily_stock_analysis
• features/actions
• ZhuLinsen/daily_stock_analysis
• ZhuLinsen/alphasift
• ZhuLinsen/alphaevo

Best for: Data Scientist, AI Engineer, MLOps Engineer

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Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.