shadow-account

To backtest a trade journal across multiple markets, you upload the journal to activate a workflow that derives 3-5 profitability rules and tests them across China A, HK, US, and crypto markets, yielding delta_pnl and attribution breakdowns.

PnL attribution in trade journal analysis is the process of breaking down profit and loss into contributing factors by backtesting extracted trading rules across multiple markets and rendering the detailed breakdown within an HTML or PDF report.

Yes, you can generate a PDF report automatically by uploading your trade journal; the system analyzes the data to extract human-readable rules, runs multi-market backtests, and renders a final attribution-rich PDF and HTML summary for archival.

No, shadow-account does not require direct interaction with order execution, as it is designed strictly for research and insight generation within user-approved contexts to analyze trade journals and produce backtest reports.

The best way to extract profitable trading rules from past trades is to upload your trade journal into an analysis workflow that derives 3-5 human-readable shadow strategies based on your historical patterns and backtests them across multiple markets.

To surface today's trading signals from a backtested strategy, you can use the optional scanning feature after generating your shadow strategy to identify potential shadow opportunities for exploration based on your derived profitability rules.