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RuifengFu
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stock-monitor

Monitor and analyze China A-share stocks with real-time data and technical indicators.

Updated May 27, 2026
Search Tags:#real-time data#alerting#technical analysis#backtesting#stock
One-click install
npx skills add https://github.com/RuifengFu/agent-skills --skill stock-monitor-ruifengfu
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: stock-monitor
Source: https://github.com/RuifengFu/agent-skills/tree/main/hermes/openclaw-imports/stock-monitor
Command: npx skills add https://github.com/RuifengFu/agent-skills --skill stock-monitor-ruifengfu

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires akshare, pandas, numpy, scikit-learn, flask, socketio, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the monitoring and analysis of China A-share stocks, providing real-time data, technical analysis, and alerting capabilities.

Core Features & Use Cases

  • Real-time Stock Data: Fetch and analyze real-time stock data from multiple sources.
  • Technical Analysis: Calculate and visualize technical indicators like MA, MACD, RSI, KDJ, Bollinger Bands.
  • Alerting: Set up alerts for price changes, indicator levels, and other conditions.
  • Backtesting: Test and validate stock screening strategies using historical data.
  • Interactive Dashboard: View all data and analysis results in an interactive web dashboard.
  • Use Case: An investor wants to monitor a specific stock and get alerts when the price reaches a certain level or when a technical indicator signals a trend change.

Quick Start

Use the stock-monitor skill to analyze the stock '000001' and get signals based on the MA and RSI indicators.

Frequently Asked Questions about stock-monitor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate real-time stock monitoring and alerting for China A-shares?▼

Real-time stock monitoring for China A-shares is automated by fetching live data, calculating technical indicators, and setting up alerts using akshare, pandas, and scikit-learn. It visualizes results via an interactive dashboard.

Can I backtest stock screening strategies using historical A-share data?▼

Yes, you can backtest stock screening strategies using historical A-share data. The skill validates strategies by processing historical data with numpy and scikit-learn to evaluate technical indicator performance before live deployment.

What technical indicators can I calculate for China A-share stock analysis?▼

For China A-share stock analysis, you can calculate and visualize MA, MACD, RSI, KDJ, and Bollinger Bands. These technical indicators help identify price trends and signal potential market entry or exit points.

Does this stock monitoring solution work with Flask and Socket.IO for dashboards?▼

Yes, this stock monitoring solution uses Flask and Socket.IO to build an interactive web dashboard. It displays real-time stock data, technical analysis results, and alert notifications directly in the browser.

Do I need akshare to fetch real-time data for A-share technical analysis?▼

Yes, akshare is required to fetch real-time data for A-share technical analysis. It serves as the primary data source provider, feeding historical and live stock prices into pandas and numpy for indicator calculations.

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