About this skill

Problem

Many trading issues are not about missing ideas; they repeat as chasing highs, poor exits, skipped stops, or plans that do not match execution. TradeMirror is a personal trading-review agent. It does not pick stocks, recommend trades, or predict markets. Instead, it turns broker statements, trade logs, and conversational preferences into a behavior profile.

How It Works

Profile engine: profile_engine extracts holding period, turnover, drawdown, stop behavior, and other dimensions into a 24-dimension profile.
Gap filling: survey_engine asks only about dimensions that trade data cannot reveal.
Sync: auto_sync watches broker daily statements in email to reduce manual uploads.
Review & benchmarking: morning_briefing, master_backtest, and the mirror agent support pause signals, end-of-day relative ratings, and same-price comparisons against master agents.
Behavior logs: buy/sell reasons, trading rules, and daily plans are stored in local json files to track execution gaps.

Limits

It depends on reliable statement data, market data, and news sources. Master-agent benchmarking uses real-price backtests and does not guarantee returns. Export and cloud backup use anonymization and anti-distillation, but users should still confirm privacy settings.

Screenshots

Use Cases

Import broker CSV statements to build a 24-dimension profile and spot chasing, stop-loss, and holding-period patterns.
Use targeted surveys to capture loss psychology, information reliance, and decision sources, then filter morning briefs by profile.
Enable broker daily-statement email so the agent syncs trades daily and produces post-market reviews with relative ratings.
Log buy reasons, stop rules, and daily plans, then check discipline gaps and plan execution after close.

Best For

Individual traders reviewing broker statements who want to spot repeated patterns such as chasing highs, poor exits, and missed stops.
Individual investors who want less manual data loading and prefer automated post-market reviews via broker daily statements.
Quant enthusiasts comparing master-agent strategies who want same-price backtests of P&L, win rate, and drawdown against their own trades.
Privacy-conscious traders who want statements cleaned of codes, amounts, and timestamps before exporting profiles or reports.

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