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