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Post Trade Compliance

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.

skills.sh installs
691
GitHub stars
224
last updated
Aug 21, 2026

Install

$ npx -y skills add joellewis/finance_skills --skill post-trade-compliance --agent claude-code

Installs into .claude/skills of the current project.

Files

Post-Trade Compliance

Core Concepts

Trade Surveillance Framework

Trade surveillance is the systematic, ongoing monitoring of executed transactions to detect potential violations of securities laws, firm policies, and regulatory rules. A surveillance program operates across multiple time horizons:

Sponsors

Details

Repository
github.com/joellewis/finance_skills
Categories
DevOps & CI/CD, Git & Pull Requests, Documentation, Code Review & Quality, Debugging, Sales & Marketing, Design & UI/UX, Finance & Trading
First seen
Jun 3, 2026

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