AI Trading Journal Audit Tool Analyze Binance and Bybit trading journal CSV files to detect behavioral trading mistakes Local-first trading journal analyzer for identifying revenge trading, overleverage, FOMO entries, session weakness, and other costly trading patterns from your CSV history. --- What This Project Does AI Trading Journal Audit Tool is a trading journal analyzer for Binance and Bybit CSV exports. Most trading journals show basic metrics like win rate, profit and loss, or average risk-reward. This tool goes further by identifying behavioral trading mistakes and showing which patterns are damaging performance. It reads your trade history, reconstructs trade sequences, detects repeated error patterns, and generates an audit report with: - flagged trades - behavioral error labels - severity scores - session-based performance analysis - estimated dollar cost by error type This project is built for: - crypto traders reviewing their own performance - discretionary traders trying to reduce emotional mistakes - trading coaches and educators - developers building trading psychol

⚠ No verified equity curve — no track-record source connected.

No score history is stored yet — only the current score is shown.

⚠ No live verification account connected — ask for proof before buying.

Alerts on changes: coming soon

Prop-firm compatibility not provided.

Data-completeness & trust index (not a profitability rating)