trade-journal

To analyze broker trade exports for behavioral biases, you upload your CSV file to a diagnostic tool that applies statistical detection algorithms to identify psychological patterns. This skill processes raw trade journals to flag cognitive biases like the disposition effect, overtrading, and anchoring using your actual execution data.

Yes, you can analyze trade journals from Futu, Eastmoney, and Tonghuashun for A-share, HK, and US markets. The skill supports multiple broker export formats and implements FIFO lot matching to accurately calculate performance metrics across these different trading venues.

Generating trading performance metrics from raw broker CSV files provides win rates, PnL ratios, drawdown, and holding periods. This skill transforms your export data into a comprehensive performance profile to help identify your true trading edge and execution efficiency.

FIFO lot matching calculates PnL from broker exports by pairing the earliest purchased lots with subsequent sales to determine accurate profit and loss. This skill implements this method to ensure precise performance metrics and behavioral diagnostics for your trading journal.

Yes, this trade journal analysis detects momentum chasing and overtrading biases using statistical evidence. It examines your raw broker export data to identify specific psychological patterns in your trading psychology and execution efficiency, providing actionable feedback to correct them.