autonomous-monitoring-loop

What problem does it solve?

This Skill eliminates the need for manual, round-the-clock monitoring of the CryptoMaster trading bot, automatically detecting performance issues, diagnosing root causes, and deploying evidence-based fixes to reach target win rate and profitability metrics without constant human oversight.

Core Features & Use Cases

• Autonomous 30-Minute Monitoring Cycles: Continuously tracks key bot metrics including Win Rate, Profit Factor, P&L, and Firebase quota, with status assessments for PASS, CAUTION, FAIL, and QUOTA_WAIT states.
• Evidence-Based Self-Repair Pipeline: Automatically triggers forensic analysis, patch authoring, code review, and atomic deployment for critical blockers like inverted trading signals, high losses, and single-symbol overexposure.
• Resumable State Persistence: Saves progress to a JSON file across interrupted sessions, so monitoring can be resumed exactly where it left off without losing historical cycle data.
• Use Case: A crypto trader running the CryptoMaster bot can invoke this Skill to run fully autonomous optimization, automatically fixing issues and tuning the bot until it hits a >50% win rate and positive P&L, saving hours of manual debugging and tuning work.

Quick Start

Invoke the autonomous-monitoring-loop skill with the phrase "start autonomous loop" to launch automated monitoring and self-optimization of your CryptoMaster trading bot.