What is QuodIQ?
QuodIQ is Quod Financial's AI trading intelligence platform for institutional desks. It connects directly to the Quod OMS/EMS via a containerised MCP layer, enabling traders and operations teams to query execution data, investigate post-trade issues, and automate reporting workflows in plain English.
Unlike AI tools that require data exports or third-party integrations, QuodIQ operates within the institution's existing security perimeter. It is LLM-agnostic — connecting to any approved language model — and deploys in three progressive tiers: QuodIQ Observe (read-only analytics), QuodIQ Trader (AI-assisted order actions), and QuodIQ Agent (autonomous workflow automation).
QuodIQ Observe
Tier 1 — Read-only AI execution analytics and post-trade intelligence. Zero compliance impact.
QuodIQ Analytics
QuodIQ Investigate
Available AI-powered log and post-trade trace analysis. Surface root causes of CTM mismatches, failed amends, allocation discrepancies, and booking anomalies — compressing hours of manual investigation into a single query.
QuodIQ Assist
In Delivery Context-sensitive intelligence embedded in the Trading FE — field definitions, how-to guidance, intelligent filters, custom columns, and workflow explanations specific to your deployed version of Quod.
QuodIQ Trader
Tier 2 — AI-assisted order management directly in the trading front end. Natural language order placement, amend, and monitoring. Trader-initiated, compliance-ready.
AI-assisted order actions embedded in the .NET Trading FE. Place, amend, cancel, and monitor orders through natural language — with session-aware context across your live blotter and positions. The trader initiates every action.
QuodIQ Agent
Tier 3 — Agentic AI for autonomous trading workflow automation. Route allocations, manage order lifecycle events, and submit regulatory reports within the boundaries your institution defines.
Agentic workflow automation — triggered by instruction, executed autonomously. Route allocations, manage order lifecycle events, and submit regulatory reports — within the boundaries your institution defines.
What CTOs and heads of trading ask us about Quod IQ
AI for logic. Software for action.
Why an AI can shape a trading decision but never execute one — and the normalized data layer that makes the separation work.
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Does AI mean a new compliance review?
Layering the AI decision separately from the risk and data controls that already exist.
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What actually changes on the desk
Why you chose that algo, that route, that moment — and whether it was analysis or gut feel.
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Can AI touch our data without it leaving?
Interchangeable LLMs, chosen residency — enterprise cloud, local model, or your own hardware.
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Not another AI bolt-on
The pre-trade feedback loop that closes automatically, with a human still in it.
What QuodIQ can answer
Quod OMS combines easy configuration, reliable support, and cost-effective operations into one platform. Firms can integrate smoothly, manage orders with precision, and leverage real-time insights across multiple asset classes—all while reducing complexity and operational costs.
Execution Analytics
- "Which venues gave the best execution this week, and how does that compare to last month's SOR distribution?"
- "Which counterparty fills most orders in this name and at what average price relative to arrival mid?"
- "What percentage of our SOR flow went to the primary market today, and how much did we internalise?"
Assist & Report
- Trace the full CTM allocation and confirmation flow for this block — at which step did it mismatch and why?"
- "Show all failed amend and cancel attempts on today's orders with their rejection reasons."
- "What errors occurred in this session? Why was this order rejected by the broker?"
Post-Trade Investigation
- "Filter all orders above 500,000 notional and show me average fill price versus arrival mid for each."
- "Build me an end-of-day report showing buy/sell distribution, total quantities, and price range by instrument."
- "Run end-of-day allocation, generate the report, and send it to the ops team."
Expert Citations
What Teams Think
CEO, Quod Financial
See QuodIQ
against your own data
Proof of concept deployed against a replica of your production data. Real queries, real execution history, no synthetic data, no mock environment.
FAQ
Frequently Asked Questions