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Order Management System
Overview
The Order Management System (OMS) will provide centralized order lifecycle management for the stock-bot platform. It will handle the entire order process from creation through routing, execution, and settlement, ensuring reliable and efficient trade processing while maintaining proper audit trails.
Planned Features
Order Lifecycle Management
- Order Creation: Clean API for creating various order types
- Order Validation: Pre-execution validation and risk checks
- Order Routing: Intelligent routing to appropriate brokers/venues
- Execution Tracking: Real-time tracking of order status
- Fill Management: Processing of full and partial fills
- Cancellation & Modification: Handling order changes and cancellations
Order Types & Algorithms
- Market & Limit Orders: Basic order type handling
- Stop & Stop-Limit Orders: Risk-controlling conditional orders
- Time-in-Force Options: Day, GTC, IOC, FOK implementations
- Algorithmic Orders: TWAP, VWAP, Iceberg, and custom algorithms
- Bracket Orders: OCO (One-Cancels-Other) and other complex orders
Execution Quality
- Best Execution: Strategies for achieving optimal execution prices
- Transaction Cost Analysis: Measurement and optimization of execution costs
- Slippage Monitoring: Tracking of execution vs. expected prices
- Fill Reporting: Comprehensive reporting on execution quality
Operational Features
- Audit Trail: Complete history of all order events
- Reconciliation: Matching of orders with executions
- Exception Handling: Management of rejected or failed orders
- Compliance Rules: Implementation of regulatory requirements
Planned Integration Points
Upstream Connections
- Strategy Orchestrator (order requests)
- Risk Guardian (risk validation)
- Authentication Services (permission validation)
Downstream Consumers
- Broker Gateway (order routing)
- Portfolio Manager (position impact)
- Trading Dashboard (order visualization)
- Data Warehouse (execution analytics)
Planned Technical Implementation
Technology Stack
- Runtime: Node.js with TypeScript
- Database: High-performance transactional database
- Messaging: Low-latency message bus for order events
- API: RESTful and WebSocket interfaces
- Persistence: Event sourcing for order history
Architecture Pattern
- Event-driven architecture for real-time processing
- CQRS for optimized read/write operations
- Microservice decomposition by functionality
- High availability and fault tolerance design
Development Guidelines
Order Management
- Order state machine definitions
- Order type specifications
- Validation rule implementation
- Exception handling procedures
Performance Requirements
- Order throughput expectations
- Latency budgets by component
- Scaling approaches
- Resource utilization guidelines
Testing Strategy
- Unit testing requirements
- Integration testing approach
- Performance testing methodology
- Compliance verification procedures
Implementation Roadmap
- Core order types and lifecycle management
- Basic routing and execution tracking
- Advanced order types and algorithms
- Execution quality analytics and optimization
- Compliance and regulatory reporting features