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shadow-account

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Turn trading journals into cross-market profits.

Data & Analytics#data-analytics#backtesting#report-generation#trading-analysis#multi-market#performance-attribution#shadow-account
Authorcharliedream1
Version1.0.0
Installs0

System Documentation

What problem does it solve?

Shadow Account helps you transform raw trading journals into clear profit patterns and actionable strategies across multiple markets, enabling data-driven decision making.

Core Features & Use Cases

  • Extract profitability patterns from user trade journals and derive 3-5 human-friendly rules.
  • Backtest rules across multiple markets (A-share, HK, US, and crypto) to measure performance and attribution.
  • Generate an 8-section PDF/HTML report that narrates insights and recommended actions for users.

Quick Start

Upload your trade journal, run analyze_shadow, and generate a cross-market backtest with attribution report.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: shadow-account
Download link: https://github.com/charliedream1/ai_quant_trade/archive/main.zip#shadow-account

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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