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a-share-daily-analysis

Generate daily A-share market analysis reports and trading candidate lists with Python scripts.

1|Updated Mar 20, 2026
Search Tags:#report generation#market analysis#a-share#trading candidates#order tickets
One-click install
npx skills add https://github.com/kk580kk/Investment-analysis-reports --skill a-share-daily-analysis
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: a-share-daily-analysis
Source: https://github.com/kk580kk/Investment-analysis-reports/tree/main/skills/stock-daily-analysis-pro
Command: npx skills add https://github.com/kk580kk/Investment-analysis-reports --skill a-share-daily-analysis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires trade_candidate_pipeline, generate_daily_report, trade_execution_plan, manual_order_ticket, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the process of generating daily A-share analysis reports, providing a list of trading candidates, and creating manual order tickets.

Core Features & Use Cases

  • Daily Analysis Reports: Automates the generation of comprehensive A-share analysis reports.
  • Trading Candidates: Identifies up to 5 potential trading candidates with specific execution prices.
  • Manual Order Tickets: Generates condition order tickets for manual execution.
  • Use Case: For a financial analyst, this Skill can streamline the daily analysis process, saving time and ensuring accuracy.

Quick Start

Generate the daily A-share analysis report and candidate list by running the script within the work area.

Frequently Asked Questions about a-share-daily-analysis

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

FAQPage Schema
How do I automate A-share daily market analysis report generation?▼

A-share daily market analysis report generation is automated using Python scripts that process market data to produce comprehensive daily reports and trading candidate lists.

How do I generate a list of trading candidates for the A-share market?▼

To generate a list of trading candidates for the A-share market, the pipeline processes daily market data and identifies up to 5 potential candidates with specific execution prices.

Do I need a Python environment to run A-share daily analysis scripts?▼

Yes, you need a Python environment with specified libraries installed to run the A-share daily analysis scripts and execute the data processing workflows.

Can I create manual order tickets from A-share trading candidates?▼

Yes, you can create manual order tickets from A-share trading candidates by generating condition order tickets intended for manual execution based on the analysis output.

What is the best way to streamline A-share financial analysis workflows?▼

The best way to streamline A-share financial analysis workflows is by automating report generation and trade execution planning through a dedicated candidate pipeline and Python scripts.

What limitations exist when using Python scripts for A-share market analysis?▼

Limitations of using Python scripts for A-share market analysis include dependency on a configured Python environment with specific libraries and the requirement for manual execution of generated order tickets.

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