87 lines
3.2 KiB
Markdown
87 lines
3.2 KiB
Markdown
# Strategy Orchestrator
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## Overview
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The Strategy Orchestrator service coordinates the execution and lifecycle management of trading strategies within the stock-bot platform. It serves as the central orchestration engine that translates trading signals into executable orders while managing strategy state, performance monitoring, and risk integration.
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## Key Features
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### Strategy Lifecycle Management
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- **Strategy Registration**: Onboarding and configuration of trading strategies
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- **Version Control**: Management of strategy versions and deployments
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- **State Management**: Tracking of strategy execution state
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- **Activation/Deactivation**: Controlled enabling and disabling of strategies
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### Execution Coordination
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- **Signal Processing**: Consumes and processes signals from Signal Engine
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- **Order Generation**: Translates signals into executable trading orders
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- **Execution Timing**: Optimizes order timing based on market conditions
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- **Multi-strategy Coordination**: Manages interactions between strategies
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### Performance Monitoring
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- **Real-time Metrics**: Tracks strategy performance metrics in real-time
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- **Alerting**: Notifies on strategy performance anomalies
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- **Execution Quality**: Measures and reports on execution quality
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- **Strategy Attribution**: Attributes P&L to specific strategies
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### Risk Integration
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- **Pre-trade Risk Checks**: Validates orders against risk parameters
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- **Position Tracking**: Monitors strategy position and exposure
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- **Risk Limit Enforcement**: Ensures compliance with risk thresholds
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- **Circuit Breakers**: Implements strategy-specific circuit breakers
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## Integration Points
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### Upstream Connections
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- Signal Engine (for trading signals)
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- Feature Store (for real-time feature access)
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- Market Data Gateway (for market data)
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- Backtest Engine (for optimized parameters)
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### Downstream Consumers
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- Order Management System (for order execution)
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- Risk Guardian (for risk monitoring)
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- Trading Dashboard (for strategy visualization)
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- Data Catalog (for strategy performance data)
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## Technical Implementation
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### Technology Stack
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- **Runtime**: Node.js with TypeScript
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- **State Management**: Redis for distributed state
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- **Messaging**: Event-driven architecture with message bus
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- **Database**: Time-series database for performance metrics
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- **API**: RESTful API for management functions
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### Architecture Pattern
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- Event-driven architecture for reactive processing
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- Command pattern for strategy operations
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- State machine for strategy lifecycle
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- Circuit breaker pattern for fault tolerance
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## Development Guidelines
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### Strategy Integration
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- Strategy interface specification
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- Required callback implementations
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- Configuration schema definition
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- Testing and validation requirements
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### Performance Optimization
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- Event processing efficiency
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- State management best practices
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- Resource utilization guidelines
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- Latency minimization techniques
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### Operational Procedures
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- Strategy deployment process
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- Monitoring requirements
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- Troubleshooting guidelines
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- Failover procedures
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## Future Enhancements
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- Advanced multi-strategy optimization
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- Machine learning for execution optimization
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- Enhanced strategy analytics dashboard
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- Dynamic parameter adjustment
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- Auto-scaling based on market conditions
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- Strategy recommendation engine
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