trade-journal

To analyze your trade journal for the disposition effect, you can use the analyze_trade_journal tool with your file. The skill parses your trade data to identify behavioral biases like the disposition effect, overtrading, and anchoring, generating a detailed diagnostic report.

Extracting trading profile metrics from a trade journal CSV yields comprehensive data including holding days, trade frequency, win rate, PnL ratio, and maximum drawdown. The skill processes your trade journal file to calculate these specific profile metrics for performance evaluation.

Trade journal analysis supports various trade journal formats for extracting trading insights. The skill is designed to parse different file structures, allowing you to upload your specific trade journal format and receive behavior diagnostics and profile metrics.

Identifying overtrading and momentum chasing from your trade history requires behavior diagnostics applied to your transaction data. The skill analyzes your trade journal file to detect these specific behavioral biases and provides insights into your trading habits.

The best way to generate a trading behavior report from transaction logs is using an automated analysis tool to parse the data. The skill processes your journal to deliver a comprehensive report covering trading habits, market distribution, and behavioral biases.