This handles the surveillance layer that runs after trades execute, whether you're building alert logic for prohibited patterns like churning, front-running, or wash trading, or designing workflows for best execution review and allocation fairness checks. It covers the full investigation lifecycle from alert generation through disposition and escalation, including the nuances of different time horizons (T+0 for front-running, rolling windows for churning). The quantitative metrics are specific, like turnover ratios above 6 flagging excessive trading and cost-to-equity ratios above 20% triggering churning alerts. Use this when you need to tune thresholds to balance detection against false positives, correlate trading with MNPI events for insider detection, or figure out what triggers a SAR filing versus internal escalation.
npx skills add https://github.com/joellewis/finance_skills --skill post-trade-compliance