shadow-account

Name: shadow-account
Availability: InStock
Author: hxhyyy

Extract trading rules from transaction journals for multi-market backtesting and PnL attribution.

Updated Jul 8, 2026

Search Tags:#strategy #finance #data-analysis #backtesting #attribution #trading

Ready to run

npx skills add https://github.com/hxhyyy/Vibe-Trading --skill shadow-account-hxhyyy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: shadow-account
Source: https://github.com/hxhyyy/Vibe-Trading/tree/main/agent/src/skills/shadow-account
Command: npx skills add https://github.com/hxhyyy/Vibe-Trading --skill shadow-account-hxhyyy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires weasyprint.

What problem does it solve?

This skill addresses the emotional bias and lack of self-awareness in trading by distilling raw transaction journals into objective, actionable performance rules.

Core Features & Use Cases

Strategy Extraction: Automatically identifies 3-5 core trading rules from your profitable trade history.
Multi-Market Backtesting: Validates your personal trading style across A-shares, HK, US, and crypto markets.
Performance Attribution: Provides a detailed breakdown of PnL, identifying losses caused by emotional trading versus strategy execution.
Use Case: If you are unsure why your portfolio fluctuates, use this skill to compare your actual performance against your shadow strategy to isolate emotional noise.

Quick Start

Run the shadow-account skill to analyze my uploaded trade journal and generate a performance report.

Frequently Asked Questions about shadow-account

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

FAQPage Schema

How do I perform PnL attribution and backtesting using my trade history?▼

PnL attribution and backtesting analyze your trade history to identify emotional trading patterns and strategy deviations. You provide structured trade journal data to generate comprehensive PDF reports with actionable performance insights.

Can I backtest my trading strategy across multiple global markets simultaneously?▼

Yes, multi-market backtesting validates your personal trading style across A-shares, HK, US, and crypto markets. This compares your actual performance against your shadow strategy to isolate emotional noise.

How does strategy extraction work from historical transaction journals?▼

Strategy extraction automatically identifies three to five core trading rules from your profitable trade history. It distills raw transaction journals into objective rules to address emotional bias and lack of self-awareness in trading.

What data format is required to generate a trading performance PDF report?▼

A structured trade journal data format is required to generate a comprehensive PDF performance report. The PDF report provides a detailed breakdown of PnL and identifies losses caused by emotional trading versus strategy execution.

Why does my portfolio fluctuate and how can I isolate emotional trading losses?▼

Portfolio fluctuations caused by emotional trading are isolated by comparing your actual performance against a shadow strategy. This performance attribution identifies losses caused by emotional trading versus strategy execution.

Do I need weasyprint to generate comprehensive PDF reports for trade analysis?▼

Yes, weasyprint is required to generate comprehensive PDF reports from your structured trade journal data. The reports provide actionable performance insights and a detailed breakdown of PnL across global equity and crypto markets.