On January 9, 2026, a critical audit of AI trading operations was conducted, addressing CEO concerns with comprehensive answers backed by evidence. The audit revealed significant issues, including a -6.97% average return, indicating financial losses. Key problems identified were an initial 200% stop loss (now corrected to 50%), the absence of trailing stops, and broken paper trading for four days.

Despite these challenges, the team provided evidence-based responses and outlined a plan to rebuild trust. Actions taken include fixing the stop loss, creating a comprehensive lesson learned document, and planning for the execution of trade workflows. The audit also highlighted the need for enhanced monitoring and alerting systems to prevent such issues in the future.

This transparent approach aims to rebuild trust and ensure better compliance with trading strategies, with a long-term goal of achieving a $100/day target by 2028-2029.