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chjm-ai/stock-daily-analysis-skill

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LLM-powered daily stock analysis system for OpenClaw

Overview

LLM-based stock intelligence analysis skills, providing OpenClaw with technical analysis and AI decision recommendations for A-shares, Hong Kong stocks, and US stocks. Compared to the original, this project features the following features: - ✅ Directly called as a skill - ✅ - Can be used independently or in combination with market-data skills - ✅ - Core functions run with zero configuration -✅- MIT license, contributions welcome If your OpenClaw has installed the market-data skill, this project can automatically call its data sources: After configuring use_market_data_skill: true, ETF data will be obtained through market-data skills, providing better stability. - [ ] Support for more data sources (Tushare, Baostock) - [ ] Add section analysis features - [ ] Support for custom policy backtesting - [ ] WebUI management interface - [ ] Support for more push channels 1. Fork this project 2. Create a feature branch (git checkout -b feature/AmazingFeature) 3. Commit changes (git commit -m 'Add some AmazingFeature') 4. Push branch (git push origin feature/AmazingFeature) 5. Create a pull request

Overview (machine translated)

LLM-based stock intelligence analysis skill, providing OpenClaw with technical analysis and AI decision recommendations for A-shares, Hong Kong stocks, and US stocks.

🎯 Project Positioning

This project is ZhuLinsen/daily_stock_analysis’s OpenClaw Skill adaptation.

Compared with the original, the features of this project are:

  • ✅ OpenClaw Native Integration - Directly invoke as a skill
  • ✅ Modular Design - Can be used independently or combined with Market-Data Skill
  • ✅ Simplified Dependencies - Core features run with zero configuration
  • ✅ Open source-friendly - MIT Agreement, contributions welcome

🚀 Get Started Quickly

Installation

Configuration

Usage

📊 Functional Features

Features Status Description
A-share Analysis ✅ Supports individual stocks and ETFs
Hong Kong Stock Analysis ✅ Supports Hong Kong Stock Connect targets
U.S. Stock Analysis ✅ Basic market quote acquisition
Technical Analysis ✅ MA/MACD/RSI/Deviation Rate
AI Decision Recommendations ✅ DeepSeek/Gemini
Market Data Source Integration ✅ Optional market-data skill

🏗️ Project Structure

🔧 Configuration Instructions

AI Model Configuration

DeepSeek (Recommended, available in China)

Gemini (Free, agent required)

Data Source Configuration

Option 1: Use akshare (default)

Option 2: Use market-data skill (recommended for ETFs)

🤝 Integration with market-data skills

If your OpenClaw has installed the market-data skill, this project can automatically call its data sources:

After configuring use_market_data_skill: true, ETF data will be obtained through market-data skills, providing better stability.

Install the market-data skill

Enable integration

📈 Return data format

🛠️ Development Plan

  • [ ] Supports more data sources (Tushare, Baostock)
  • [ ] Added a section analysis feature
  • [ ] Supports custom policy backtesting
  • [ ] WebUI management interface
  • [ ] Supports more push channels

🤝 Contribution Guide

Welcome to submit Issues and PRs!

  1. Fork this project
  2. Create a feature branch (git checkout -b feature/AmazingFeature)
  3. Submit Changes (git commit -m 'Add some AmazingFeature')

This page was translated automatically. Technical details may differ from the original.

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Install

npx skillfish add chjm-ai/stock-daily-analysis-skill
New to MCP? Start with the mcpskill.org guide →