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shadow-account

Extract trading strategies from journals and backtest across markets.

Updated May 25, 2026
Search Tags:#market analysis#backtesting#trading analysis#pdf reporting#strategy extraction
One-click install
npx skills add https://github.com/NigarumOvum/AutoTrading --skill shadow-account-nigarumovum
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: shadow-account
Source: https://github.com/NigarumOvum/AutoTrading/tree/main/Vibe-Trading/agent/src/skills/shadow-account
Command: npx skills add https://github.com/NigarumOvum/AutoTrading --skill shadow-account-nigarumovum

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill solves the problem of analyzing and extracting profitable trading strategies from user trading journals, allowing for cross-market backtesting and generating detailed PDF reports.

Core Features & Use Cases

  • Strategy Extraction: Extracts 3-5 actionable rules from user trading journals.
  • Cross-Market Backtesting: Runs backtests on A-share, HK, US, and crypto markets.
  • PDF Reporting: Generates 8-section PDF reports with detailed analysis and insights.
  • Use Case: A user uploads their trading journal and receives a comprehensive analysis of their trading strategies, including performance metrics and rule-based insights.

Quick Start

To analyze your trading strategies, upload your trading journal and run the 'shadow-account' skill.

Frequently Asked Questions about shadow-account

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

FAQPage Schema
How do I extract trading strategies from my trading journal?▼

To extract trading strategies from your trading journal, upload the journal to the shadow-account skill. It analyzes your historical trades to identify and extract 3 to 5 actionable rules, providing structured insights into your past market behavior.

Can I run cross-market backtesting on A-share, HK, US, and crypto markets?▼

Yes, you can run cross-market backtesting on A-share, HK, US, and crypto markets. The skill evaluates your extracted trading rules across these specific markets to determine their robustness and profitability under various market conditions.

How do I generate a PDF report for my trading analysis?▼

You generate a PDF report for your trading analysis by running the skill after uploading your journal. It automatically produces an 8-section comprehensive PDF document containing detailed performance metrics, backtesting results, and strategy insights.

What is the best way to analyze trading journals for profitable rules?▼

The best way to analyze trading journals for profitable rules is using automated data analysis. The skill utilizes Python to process your trade data, extract actionable trading rules, and quantify their effectiveness across multiple financial markets.

Do I need Python to backtest trading strategies across multiple markets?▼

You do not need to manually configure Python to backtest trading strategies across multiple markets. The skill internally utilizes Python for its data analysis and report generation, handling the execution environment automatically.

What limitations exist when extracting rules from trade journals?▼

A limitation when extracting rules from trade journals is that the analysis depends entirely on the quality and detail of your uploaded data. Furthermore, the skill extracts between 3 and 5 actionable rules, which may not capture highly complex trading behaviors.

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