Anomaly Detection

A mapped reference for anomaly detection — how it runs, how to configure it, and where it runs aground under load.

Mechanics

anomaly detection works as a staged transformation — ingest, measure, decide, route. Each stage carries its own failure surface.

Waypoints (Configuration)

The anomaly detection setup exposes a few documented knobs. Begin at defaults, then adjust against measured behaviour, keeping a written record.

Wreck Record (Failure Modes)

The wreck record for anomaly detection teaches more than the success story. Regime shifts, infrastructure faults, and drift lead the list.

Navigation Checks (Evaluation)

Evaluate anomaly detection on measured outcomes — return distribution, drawdown depth, operational burden — never on one lucky stretch.

Configuration Reference

# Anomaly Detection tested configuration
mode: production
timeframe: auto
risk_limits:
  max_drawdown: 15 percent
  max_position: 3 percent
monitoring:
  alert_threshold: 0.5
  report_interval: hourly

Parameter Impact