Adaptive Performance Monitoring for Trading Systems

Create a sophisticated performance monitoring and alerting system for algorithmic trading platforms using Kubernetes, Prometheus, and Python. Develop custom exporters that capture granular trading system metrics, implement adaptive alerting thresholds that dynamically adjust based on market conditions. Design a dashboard that provides real-time performance visualization, supports root cause analysis, and integrates with incident management systems. Include machine learning-driven anomaly detection for identifying potential system vulnerabilities.