managing-trade-surveillance
Monitors trading activity for market manipulation, insider trading, and best execution compliance. Use when conducting trade surveillance, investigating suspicious trading, or monitoring execution quality.
Best use case
managing-trade-surveillance is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Monitors trading activity for market manipulation, insider trading, and best execution compliance. Use when conducting trade surveillance, investigating suspicious trading, or monitoring execution quality.
Teams using managing-trade-surveillance should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/managing-trade-surveillance/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How managing-trade-surveillance Compares
| Feature / Agent | managing-trade-surveillance | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Monitors trading activity for market manipulation, insider trading, and best execution compliance. Use when conducting trade surveillance, investigating suspicious trading, or monitoring execution quality.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Managing Trade Surveillance ## When To Use - Conducting periodic or ad-hoc surveillance of trading activity across desks, strategies, or asset classes - Investigating alerts generated by automated surveillance systems (e.g., spoofing, layering, wash trading, marking the close) - Reviewing potential insider trading indicators tied to MNPI exposure windows - Assessing best execution compliance against firm obligations under MiFID II, Reg NMS, or equivalent frameworks [VERIFY] - Preparing surveillance summary reports for compliance committees, regulators, or internal audit - Coordinating escalation of suspicious activity for SAR/STR filing decisions ## Inputs To Gather - **Trade data**: Order/execution records with timestamps, venue, counterparty, fill rates, and modification/cancellation history - **Alert feed**: Surveillance system output including alert type, severity score, triggering parameters, and disposition status - **MNPI logs**: Restricted list entries, information barrier crossings, wall-cross approvals, and access logs for the relevant period - **Market data**: Reference prices (VWAP, arrival, close), order book snapshots, and consolidated tape data for benchmarking - **Personnel records**: Trader identity, desk assignment, personal account dealing disclosures, and prior disciplinary history - **Regulatory thresholds**: Applicable position limits, large trader reporting thresholds, and short-selling restrictions [VERIFY] - **Prior dispositions**: Historical alert outcomes for the same trader, instrument, or pattern to identify recurrence ## Workflow 1. **Scope the review period and universe** - Define date range, instrument set, desks/traders in scope, and the surveillance scenarios to cover (manipulation, insider trading, best execution, or all) - Confirm data completeness — verify trade blotter reconciles to exchange confirmations and that no order modifications or cancellations are missing 2. **Triage alerts and anomalies** - Pull open alerts from the surveillance platform grouped by scenario type - Rank by severity score, notional value, and regulatory sensitivity - Cross-reference against MNPI exposure windows — flag any trader with wall-cross access who traded in the restricted instrument within the blackout window - Identify repeat patterns: same trader triggering the same alert type across multiple periods 3. **Investigate flagged activity** - For **manipulation alerts** (spoofing, layering, wash trades, marking the close): reconstruct the order book sequence, calculate order-to-trade ratios, measure price impact of the suspect orders, and determine whether cancellation patterns are consistent with manipulative intent - For **insider trading indicators**: map the timeline of MNPI receipt against trade execution, review electronic communications for tipping, and check personal account dealing records - For **best execution**: compare actual fill prices against arrival price, VWAP, and consolidated best bid/offer at time of order receipt; assess venue selection rationale and any systematic routing deficiencies 4. **Document findings and dispositions** - For each alert, record: factual summary, data reviewed, analysis performed, conclusion (substantiated / unsubstantiated / inconclusive), and rationale - Attach supporting evidence — order audit trails, communication excerpts, market data screenshots - If substantiated or inconclusive with high risk, draft an escalation memo for the compliance officer or surveillance committee 5. **Escalate and report** - Present substantiated findings to the designated decision-maker for SAR/STR filing determination [VERIFY] - Compile a surveillance dashboard summarizing: total alerts generated, disposition breakdown, open items, escalation count, and trend comparison to prior period - Flag any systemic issues (e.g., surveillance system calibration gaps, data feed latency, missing asset class coverage) for remediation tracking ## Output - **Surveillance summary report** covering the review period with alert volume, disposition statistics, and key findings - **Investigation memos** for each substantiated or escalated alert, with factual narrative, evidence references, and recommended next steps - **Escalation log** documenting items referred for SAR/STR filing, disciplinary review, or regulatory notification - **Best execution scorecard** comparing execution quality metrics against benchmarks by desk, strategy, or venue - **Remediation tracker** listing surveillance program gaps identified and assigned corrective actions ## Quality Checks - Confirm all trade data reconciles to source systems — no unexplained gaps in timestamps or order IDs - Verify that MNPI exposure windows align with restricted list effective dates and wall-cross records - Ensure alert dispositions include documented rationale, not just a status code — regulators expect a narrative audit trail - Cross-check that best execution benchmarks used are appropriate for the asset class and order type (e.g., VWAP is unsuitable for illiquid instruments) - Validate that escalation timelines comply with firm policy and regulatory filing deadlines [VERIFY] - Confirm no conflicts of interest — the reviewer should not be surveilling their own desk or direct reports - Mark any data points sourced from estimates or incomplete feeds with [VERIFY]