Automated Trading
At the core of modern institutional trading lie three fundamentals: data, automation, and control.
Quod Financial delivers an institutional trading automation platform that embeds automation directly into the OMS/EMS workflow, enabling trading desks to systematically automate order handling, routing, decision-making, and execution while preserving governance and transparency.
Quod enables configurable, event-driven trading workflow automation across Equities, FX, Derivatives, and Digital Assets, using real-time market data, execution signals, and risk constraints. The result is scalable, repeatable, and auditable automated trading workflows that adapt to real market conditions while keeping traders firmly in control.
AI/ML Innovation
Our platform leverages a data-driven architecture to continually fuel AI/ML- enhanced trading automation. Our web-based administration allows real-time configuration of the system including algo building, pre-trade automation, client/risk management, tier, and aggregation configuration, as well as automated back-testing.
Our implementation of machine learning (ML) introduces real-time recommendations to our clients. With over 450+ configurable parameters in our SOR, our automated feedback helps clients know how to achieve the best results.
Institutional Automated Trading embedded in the OMS/EMS
Automated trading at Quod Financial is not an external overlay. It is embedded into the OMS/EMS, so desks can automate decisions across the trade lifecycle, not only at the point of execution.
What Quod Financial automates
- Order handling and enrichment
- Routing and venue selection
- Strategy selection and execution logic
- Risk and credit checks
- Pre-trade and post-trade workflows
- Exception handling and alerts
How Quod Financial’s automated trading works
- Event-driven logic reacting to market data, order state, and execution outcomes
- Configurable rules rather than hard-coded strategies
- Real-time decision trees that evolve as market conditions change
- Immediate human override at any point in the workflow
Key differentiation
Where many approaches focus on narrow execution automation, Quod Financial automates end-to-end automated order lifecycle workflows, from order inception to post-trade processing, within one unified system.
Automation with control, governance, and explainability
Automation without control increases risk. Quod Financial’s automated trading framework is designed to scale automation while preserving governance, transparency, and trader oversight.
Control mechanisms built into Quod Financial
- Granular order- and algo-level supervision
- Pause, resume, and override automation in real time
- Exception monitoring (stalled orders, rejects, abnormal behavior)
- Multi-channel alerting for critical events
- Live parameter updates without system restarts
Data-driven automation, not black-box trading
Quod continuously feeds automation logic with
- Real-time market and execution data
- Historical performance and statistical context
- Venue behavior metrics (latency, hit ratio, rejects)
- Progress vs benchmarks and historical patterns
This data is surfaced through dashboards, reports, and TCA-ready analytics so traders, quants, and managers can understand why decisions are made, not only the outcome.
What you get with Quod Technology
Infinite Scaling
Easy Upgrades
Buy and Build
Data
All real-time market and execution data, as well as historical statistical analysis, are made available to the users and, more importantly, are used within the platform – be it a simple routing rule, or a highly complex algorithm.
This includes a granular view of the order (“What happened to my order!”),
and an aggregate view of how execution is progressing with historical comparison
– e.g. Venues Hit Ratio, latency, rejections, spread capture, etc. This is all presented as an intuitive dashboard and online reports, fully available to traders, quants, and decision-makers.
Full Execution
Real-Time Reports
Automation
Automation includes a full pre-trade logic engine, automated actions such as booking/allocations, post-trade message management, complex algorithms, and SOR, which acts as the most critical tool. This is all built within flexible workflows that adapt to your trading operations and goals.
As the market moves, the trading logic uses all the different data to update the decision tree. The trader has powerful tools to monitor the overall exceptions that impact the trading flow; it includes supervision front-end to monitor abnormalities – e.g., orders that stay too long to execute, paused algorithms, or the Venue Rejects; multi-channel alerting mechanisms; and administration front- end to change in real-time any state machine/algorithm.
Control
Platform Benefits
Seamless Integration
The system is designed to seamlessly integrate with any existing technology and allows the use of 3rd party systems without restriction. It also provides the ability to utilize any symbology available from all data providers.
Customizable
Fully configurable to meet the unique needs of different traders or trading strategies.
24x6 3rd Line Support
Best practices for institutional trading workflow automation (buy-side and sell-side)
High-performing institutional trading automation typically follows these best practices:
- Start with workflows, not tools: define what should be automated in the order lifecycle (handling, routing, execution logic, post-trade).
- Use a configurable trading rules engine / decision engine: prefer event-driven rules that can be adjusted over time.
- Build exception management first: ensure there is a clear supervision model, alerting, and escalation paths.
- Preserve trader control: enforce pause, override, and auditability at order and strategy level.
- Instrument everything: rely on real-time dashboards and reports, and align data outputs with TCA and execution reporting needs.
- Roll out modularly: expand automation in phases across assets, venues, and desks to scale safely.
Why trading desks choose Quod Financial for automated trading
|
Trading desk need |
How Quod supports it |
|
Reduce manual intervention and execution inconsistency |
Rules-driven, repeatable automation embedded in OMS/EMS workflows |
|
Trade across fragmented multi-venue markets |
Consistent multi-asset logic applied across venues and regions |
|
Lower operational risk |
Embedded risk controls with exception management and supervision |
|
Scale automation across teams and geographies |
Microservices-style architecture designed for scale |
|
Avoid lock-in and rigid automation |
Vendor-agnostic approach with configurable, event-driven logic |
Deployment options
Automated trading can be deployed as a standalone automation layer or alongside OMS, EMS, SOR, algorithmic execution, analytics, and connectivity modules as part of a modular build-out.
Migration
Migrating to Quod’s automated trading is straightforward because automation is configured directly within the OMS/EMS using existing workflows and connectivity, without requiring a full platform rebuild or strategy rewrite.
FAQ
Frequently Asked Questions on Automated Trading
Executive Insight
What Experts Think
CEO, Quod Financial
Find Out More